Next Article in Journal
On the Measure of the Heat Transfer Performance of RANS Turbulence Models in Single Round Jet Impingement
Previous Article in Journal
The Mechanical Response of Structural Elements in Enclosed Structures during Electric Vehicle Fires: A Computational Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Energy Literacy: A Systematic Review of the Scientific Literature

by
Oscar S. Santillán
1,2 and
Karla G. Cedano
2,*
1
Subdirección de Negocios de Redes, Dirección Corporativa de Operaciones, Comisión Federal de Electricidad, Río Ródano #14, 7mo. piso, Alcaldía Cuauhtémoc, Ciudad de México 06598, Mexico
2
Instituto de Energías Renovables, Universidad Nacional Autónoma de México, Priv. Xochicalco s/n, Col. Centro, Temixco 62580, Mexico
*
Author to whom correspondence should be addressed.
Energies 2023, 16(21), 7235; https://doi.org/10.3390/en16217235
Submission received: 28 September 2023 / Revised: 17 October 2023 / Accepted: 20 October 2023 / Published: 24 October 2023

Abstract

:
Amidst the global energy crisis, governments are pursuing transitions towards low-carbon energy systems. In addition to physical infrastructure, political and regulatory enablers, and knowledge and capacities, changes in the energy systems require an energy-literate citizenship. Energy literacy is the understanding of how energy is generated, transported, stored, distributed, and used; awareness about its environmental and social impacts; and the knowledge to use it efficiently. The objective of the study is to provide a systematic review of the literature concerning energy literacy. In the methodology followed, the 138 papers found were categorized and subcategorized according to the research field and the main research objective, respectively. The papers are later described together with similar studies. Results show that most of the work performed around energy literacy addresses its evaluation among different groups, particularly students at different levels, and the construction, application, and evaluation of tools for improving energy literacy. Also studied are the influence of energy literacy in decision-making, its drivers, and conceptual research about the topic. The discussion highlights the debate on the link between energy-literate persons and efficient energy use, the under-researched areas of energy literacy, and the key role of energy literacy in addressing the energy crisis.

Graphical Abstract

1. Introduction

Energy drives economies and sustains societies (UNEP, 2023) [1]. Energy is fundamental for human development, key to addressing several of the challenges that humanity faces and necessary to achieve the United Nations agenda for 2030 (UN & UN-Energy, 2022) [2]. On the other hand, around 75% of greenhouse gas emissions come from the energy sector, highlighting that the production and use of energy are the main drivers of current climate change (UNDP, 2023) [3].
Climate change has serious negative effects globally, making it one of the most urgent problems that people and countries face today (UN, 2023) [4]. All scientific evidence indicates that human activity is the main cause of current climate change, particularly, the burning of fossil fuels, such as coal, oil, and natural gas (UN, 2023) [4]. Despite its importance, governments and civil society need to take action not only to combat climate change, an environmental issue related to energy, but also to take actions that also address political and economic issues related to energy, such as energy security and access to domestic energy services (Heffron et al., 2015) [5]. Frequently, the instruments used to achieve goals related to these three issues compete in a phenomenon called the energy trilemma (Gunningham, 2013) [6], which can be defined as “the conflicting goals that governments face to ensure energy supply, provide universal access to energy services and promote environmental protection” (Figure 1) (Gunningham, 2013) [6].
The lack of access to energy services is known as energy poverty. It occurs when a household cannot ensure a level of domestic energy services that would allow the household to fully participate in the customs and activities that define membership in a specific society (Thomson et al., 2019) [7]. In the trilemma, energy poverty (sometimes included in the broader concept of energy justice) is the aspect that generally receives the least attention (Tomei & Gent, 2015) [8]. Although the incidence and intensity of the phenomenon, as well as the degree of study, vary considerably from one country to another, Latin America seriously suffers from energy poverty (Thompson et al., 2022) [9].
In general terms, energy security is the supply of adequate and stable energy to meet the demand of all economic sectors within a country (Kanchana & Unesaki, 2015) [10]. Furthermore, the energy supply must be reliable, uninterrupted, sufficient, and affordable, and for countries that export energy products, energy security also considers the certainty of demand from abroad (Kanchana & UnesakiYou have a sack, 2015) [10]. Additionally, the flexibility of systems and the diversification of energy products play an important role in energy security.
Currently, energy systems around the world are under pressure, and governments are seeking to achieve universal access to energy services, ensure energy security, and mitigate climate change, all while immersed in a global economic recession, suffering the consequences of the COVID-19 pandemic and during Russia’s war in Ukraine, which may further escalate and exacerbate the global energy crisis. On the other hand, the effects of the crisis on energy markets have led to a decrease in collaboration between countries, which is a key element to achieving a net zero emissions energy system (IEA, 2022) [11].
In this regard, countries in The Organization for Economic Cooperation and Development (OECD), including Mexico, are facing security risks and using mitigation measures, such as diversification of the energy matrix as well as transitions to low-carbon energy systems (Cergibozan, 2021) [12]. Another case is found in the countries near the conflict area in Ukraine, such as Poland and Lithuania, which are also facing security risks and using energy transitions as mitigation instruments (Chomać-Pierzecka et al., 2022) [13]. In the latter case, the work of Chomać-Pierzecka et al. (2022) [13] concludes that increased social awareness determines the popularization of renewable energy solutions.
The energy crisis has also highlighted the importance of energy efficiency and behavioral measures in keeping energy supply and demand in balance. In this sense, the International Energy Agency (IEA) recognizes the crucial participation of governments, companies, and citizens to keep the increase in global temperature below 1.7 °C in the Scenario of Announced Commitments and below 1.5 °C in the Net Zero Emissions Scenario in the year 2100 (IEA, 2022) [11]. Effectively addressing the current energy crisis will require, among other things, a well-informed and participatory citizenship.
In the context of citizenship, information plays a key role for people to acquire knowledge and to find out about events that are taking place, both in their immediate environment and around the world. Access to information allows citizens to know their rights; educate themselves; and find out about health services, housing, employment alternatives and public programs and policies (Chávez, 2015) [14]. The information also enables people to understand domestic energy use, its importance for economic development, and its environmental impacts.
To refer to citizens informed in terms of energy, the concept of energy literacy is frequently used in the academic literature. DeWaters and Powers, authors with great influence in the research field of energy literacy, define it as “the citizen understanding of energy that encompasses broad knowledge of the subject, as well as affective and behavioral aspects” (DeWaters & Powers, 2013) [15]. According to Van den Broek (2019) [16], an energy literate person can be someone who knows the energy consumption of his appliances, what actions can save energy in his homes, how to make energy efficient decisions or knows the relationship between energy consumption and climate change. Thus, a person can be energy literate in one or more aspects and not so in others. In another definition, Wang and collaborators define energy literacy as the ability of people to understand the roles of energy and energy knowledge to ensure environmental sustainability (Wang et al., 2021) [17].
In the energy literacy research field, there is a gap in a review that describes how energy literacy is addressed in the scientific literature. Moreover, there are only two reviews of energy literacy, both constructed from a conceptual focus, one regarding the approaches and the other concerning the dimensions that energy literacy encompasses. This work seeks to tackle this gap by answering the research question: What are the aspects and methodologies of energy literacy that are addressed in the scientific literature? This work aims to generate knowledge regarding energy literacy and contribute to the training of energy-literate citizens, who engage in addressing the current energy crisis. Furthermore, this article can be used as a starting point to design and implement specific tools that increase energy literacy, especially in the Mexican and Latin American population. Its contribution to the field of study is related to three main points: (1) There are few systematic reviews on energy literacy in the literature. This article seeks to contribute to the topic by approaching it differently, paying special attention to the main objective of the studies. (2) The information shown has the potential to contribute to closing existing gaps in energy literacy, such as the lack of information on the subject. (3) Finally, Latin America has few publications on energy literacy. In particular, the review found only one article that explicitly mentions that it was carried out in the Mexican context.
For the review, 138 documents were analyzed, which were published in journals (110), conferences (27) and books (1). From these, seven had an empty abstract. The findings show that most of the scientific literature addresses the evaluation of energy literacy, in particular the assessment per se and the construction of measures; the construction, implementation, and evaluation of improvement tools; the influence of energy literacy in decision-making and other variables; and its research in other fields, such as education, factors and theoretical work. Most of the authors agree on the importance of energy literacy to improve energy consumption; nevertheless, there is no general consensus on the efficient use of energy among energy-literate persons.
Regarding its limitations, the bibliographic review was carried out on the platform Web of Science; therefore, the documents that are not included in this database were outside the scope of the work. This is particularly true for gray literature, that is, information that is not published in the regular media. Also, classifying documents according to their main objective is not a simple task, especially because they often have different objectives with similar importance. The classification is performed in an illustrative manner, with the aim of making information consultation more accessible. Energy literacy is dependent on economic, cultural, and sociodemographic aspects, and its evaluation is complicated. The information presented in this article has the potential to positively influence research related to energy literacy.
The article is structured as follows: in Section 2, the methodology followed to carry out the bibliographic review is described. In Section 3, the results of the review are presented and categorized according to the main objective of each reviewed article. The categories included in this section are Reviews, Measurement, Improvement Tools, Influence, and Other Lines of Research. Finally, Section 4 discusses the results from the review, the main gaps found in the literature, and what is next for this research field. The most relevant conclusions are also presented in this section.

2. Materials and Methods

The citation mining methodology is based on the application of a combination of bibliometric techniques and text mining for the analysis of bibliographic data (Kostoff et al., 2001; del Río et al., 2002) [18,19]. In this case of study, the objective has been defined as research articles on energy literacy with the following search criteria: TS = (“energy literacy” OR “energy alphabet*”) written until February 2023 that are part of the Web of Science’s Core Collection. These include Science Citation Index Expanded (SCI-Expanded), Social Sciences Citation Index (SSCI), Arts and Humanities Citation Index (A&HCI), Conference Proceedings Citation Index-Sciences (CPCI-S), Conference Proceedings Citation Index-Social Sciences and Humanities (CPCI-SSH), Book Citation Index-Sciences (BKCI-S), Book Citation Index-Social Sciences and Humanities (BKCI-SSH), and Citation Index from emerging sources (ESCI).
This set was analyzed using the computational tool that our research group has developed for this purpose, a text mining algorithm (Cortés et al., 2008) [20]. While the bibliometric stage is performed exclusively by counting similar data from different fields in said bibliographic records, the text mining stage uses an entropy-based algorithm to find the most relevant words in the record summaries. This algorithm is based on research conducted by Ortuño et al. (2002) [21]. The distance between two occurrences of a particular word appearing in the text of an abstract was compared to the standard deviation of all words in all abstracts. A normalized standard deviation greater than 1 indicates that the word distribution within a particular abstract is not random, allowing us to determine which words or strings of words can be considered relevant to that text.
The reasoning behind this assumption is that standard deviation is an indicator analogous to entropy (Reiss et al., 1986) [22] and can sometimes play a role as a measure of order (or disorder). The advantage of this technique is that it does not require a laborious review of individual words to extract keywords from a text but rather provides a prepared list of the most frequently occurring words and word strings, the distribution of which within a text is not random and therefore is likely to be significant. This technique has been used to analyze highly visible science topics (Russell et al., 2007) [23].
After this, a csv file containing information on all the 138 articles that appeared on the search was retrieved from the platform Web of Science. The file included the title of the paper, authors, year of publication, institution, and abstract (except for seven papers), among other data. The next step was to read all the information, with special attention to the abstracts, to ensure that all the papers in the group in fact addressed energy literacy, as well as to get acquainted with the field. This first run showed that the search captured an interesting and relevant set of articles, except for 8 that do not address energy literacy directly and 7 that had a lot of missing information, to carry out the review.
Later, the abstracts were re-read with the aim to summarize with one or few phrases the core of each of the articles. With these phrases, the principal objective of each paper was identified. After this, the papers with similar objectives were grouped. It highlighted that a significant set of papers (48 from a total of 138) dealt with the measurement of energy literacy and the evaluation, construction, comparison, and adaptation of measures. Thereby, the authors considered that for a well-structured and -described review, wider categories were needed. These categories include the research field, and, thereby, the subcategories include the main research objectives. A third run was carried out to ensure that the main objective of the article was correct; otherwise, it was replaced. Moreover, this re-read allowed us to identify the authors with more influence in the research of energy literacy and the more relevant papers within the field.

3. Results

As of February 2023, 138 articles that talk about energy literacy (defined according to the criteria mentioned in the Materials and Methods section) were found on the platform Web of Science. In the review, 6 categories were identified, including Reviews, Measurement, Improvement Tools, Influence, Other Lines of Research, and No Direct Relationship, as can be seen in Table 1. Additionally, 7 documents were found with abstracts that could not be read from the platform. As the table shows, each category is subdivided according to the main research objective pursued in the work, identified through the information provided in the abstract.
It is important to mention that several articles can be classified into more than one subcategory; however, they were grouped according to the main objective defined in the work abstract, sometimes implicitly. A clear example of this is given in the Measurement category, where several documents evaluate the energy literacy of specific groups of people, thus placing themselves in the Evaluation objective, while the authors also construct the evaluation measures, generating the alternative to place them in the Construction of measures objective. This is the case for most of the works that evaluate energy literacy since the way to evaluate it is also designed in the research methodology. As mentioned before, for subdivision, we take just one of the objectives.

3.1. Reviews

Of the articles analyzed, only two have as their main objective to carry out reviews of the scientific literature. In the first of them, published in 2019 (Van den Broek, 2019) [16], a bibliographic review of the different related approaches and methodologies is completed. The author identified four general approaches: device energy literacy, action energy literacy, financial energy literacy, and multifaceted energy literacy. This is one of the few articles that discusses approaches and not aspects of energy literacy as most of the literature does.
In the second review article, published three months later in February 2020 (Martins et al., 2019) [24], the authors also carry out a literature review on energy literacy. Unlike the first, this review is built around the work of DeWaters and Powers (2013) [15] on the dimensions that energy literacy encompasses: knowledge, emotional or affective, and behavioral. Additionally, the authors identified financial knowledge as another important aspect of energy literacy.

3.2. Measurement

Until the date of the review, 47 documents were found with a main objective related to the measurement of energy literacy. These were subdivided into five classes of objectives: Adaptation of measures, Comparison, Construction of measures, Assessment, and Measures Evaluation. Of the group of documents analyzed, only one had the main objective of adapting a methodology (Güven et al., 2019) [25], in which an energy literacy evaluation scale originally designed in English is adjusted to the Turkish context. The reliability of the tool is also validated.
On the other hand, two documents made a comparison of energy literacy, one between different universities in the same country (UK) and another between different countries (UK and China). Both works have several authors in common, including the main author. In the first (Cotton et al., 2017) [26], a comparison of energy literacy is carried out between university students in different positions of the Green league in the United Kingdom; in the second, energy literacy is evaluated among students from universities in China and the United Kingdom (Cotton et al., 2020) [27].
Regarding the Construction of measures, DeWaters and Powers (2013) [15] propose explicit criteria to develop measurable objectives related to energy literacy in three dimensions: cognitive, affective or emotional, and behavioral. At the same time, these authors and other colleagues (DeWaters et al., 2013) [28] published their work on the development of a measurement scale for evaluating energy literacy and its application to middle and high school students in the United States. The instrument developed in these two works used psychometric principles of educational and social psychology, making the work have, since its publication and to date, a significant influence on the study of energy literacy; several subsequent publications derive from the works of DeWaters, Powers, Qaqish and Graham.
Continuing with the objective Construction of measures, Turner et al. (2014) [29] designed a survey to evaluate energy literacy related to electricity; Yusup et al. (2017) [30] built a structure for the energy literacy assessment of future physics teachers; Martins et al. (2020) [31] developed an energy literacy index as well as an index for each of the dimensions knowledge, financial calculations, attitudes, and behavior; and Das and Richman (2022) [32] built and applied a public instrument to measure energy literacy in three dimensions, including cognitive, attitudinal, and behavioral. It should be noted that in some works, such as that of Das and Richmam and that of Martins et al., the affective or emotional dimension is replaced by that of attitudes, although the criteria that characterize them are similar.
Most articles on energy literacy evaluate it among different groups of people, notably focusing on students of different levels. As mentioned above, in several of the works, the tools to carry out the evaluation are also designed. Table 2 shows the 35 documents with the main objective of evaluating energy literacy identified in the literature review. The table shows the region, country, state, or city; the population evaluated; and the reference to the document. Of these, several analyze the factors that influence energy literacy (in italics the reference in the table), including the gender or sex of the people evaluated (in italics and bold the reference in the table), of which the work of Lee et al. [33,34,35,36] stands out.
From the documents, it stands out that Cotton et al. (2015) [43] suggest measures to improve energy literacy among students, while Yeh et al. (2017) [47] identify some misconceptions that they have about energy. Paige et al. (2019) [51] perform an analysis on how energy literacy affects energy consumption in buildings that do not behave like Net-Zero, even though they were designed that way. Zhang and Zhang (2020) [54] mention the importance of analyzing in more detail the energy literacy results obtained from questionnaires by conducting interviews. Zanocco et al. (2022) [64] introduce the concept of “load shape” when analyzing energy literacy, considering the daily timing of electricity demand. Wu et al. (2022) [66] explore the relationship between residents’ energy literacy and sustainable tourism in ethnic areas of China.
There are two documents for which the main objective is related to the evaluation of energy literacy measurements. That is, they analyze their effectiveness and applicability. Langfitt et al. (2015) [68] analyzed the applicability of an energy literacy measure based on competency, course deliverables, or artifacts. Van der Horst et al. (2015) [69] evaluated the pedagogical aspects of field work carried out by university students in their homes when evaluating energy technologies and habits.

3.3. Improvement Tools

Of the documents analyzed, 30 have as their main objective the analysis of tools to improve energy literacy. Thirteen are related to their design and application, and seventeen evaluate the effectiveness of these tools. As in the case of evaluations, in this category, there are also several works that design, apply, and evaluate improvement tools. It highlights that several of the tools are intended to improve the energy literacy of children or young students. Some others are intended for energy users or the general population.
For example, Huang et al. (2012) [70] designed and implemented an energy literacy program aimed at elementary school students, and similarly, Merritt et al. (2019) [71] developed a curriculum on energy resources aimed at fourth grade students. Jeng et al. (2013) [72] set out to teach children concepts related to energy literacy through computer games, and Fraternali and Gonzalez (2019) [73] describe an augmented reality tool to improve energy-saving behavior in children.
Chen et al. (2013) [74] propose a framework for energy education that captures the concept of carbon saving and reduction in Taiwan. Tarabieh et al. (2015) [75] designed a user-friendly data interface to simplify and support the implementation of energy literacy programs on a university campus. Wahyudi et al. (2019) [76] sought to improve energy literacy related to geothermal energy in Indonesia through information contained in vocational high school textbooks. Ilmi et al. (2021) [77] designed and implemented a program to improve energy literacy in high school students and evaluated energy literacy before and after the implementation of the program.
Regarding the general population, Moret et al. (2014) [78] created an energy calculator within an online learning platform with the purpose of supporting citizens and decision-makers to understand the energy system; Moreno et al. (2015) [79] sought to increase energy literacy through a user-centered building management system, which provides personalized actions to save energy; Zapico and Hedin (2017) [80] created an interactive tool to increase energy literacy; and Mogles et al. (2017) [81] analyzed the effect of providing more detailed information in smart energy meters on energy and monetary savings. Spence et al. (2017) [82] developed a tool with the purpose of motivating the occupants of a workspace with energy data and supporting them to take actions that reduce energy consumption.
Table 3 shows a synthesis of the documents for which the main objective is to evaluate tools to improve energy literacy. This contains the type of tool, the population to which it was applied, a summary of the evaluation carried out, and the reference. As can be seen in the table, the tools identified in the review include education programs (formal, aimed at students at different levels, and informal, for the general population), serious games, presentation of information, interactive activities, web pages, and technologies, such as smart meters and augmented reality. The populations that use the tools are mostly students, the general population, and people with some type of specific technology, such as smart meters.
Some evaluations explicitly analyze the impacts that tools have on energy-related knowledge, attitudes, and behavior, such as DeWaters and Powers (2006) [83] and Karpudewan et al. (2015). [86] Other documents describe the impacts of the tools in different periods of time (Hedin and Zapico (2018) [91], Snow et al. (2019) [92] and Keller et al. (2022) [98]). Several of the works investigate the improvement in energy literacy using different educational programs, of which the research carried out by Bodzin et al. stands out (2013) [84], in which a program with a focus on geospatial technologies is compared to the Business as Usual, and that of Rimm-Kaufman et al. (2021) [95], with the evaluation of the impacts of a service-based energy learning program, also against a Business as Usual scenario.

3.4. Influence

Within the group of documents reviewed, a category is proposed that includes works that investigate the influence of energy literacy on people’s decision-making or behavior. This categorization was divided into two subsets: Direct Influence and Model Construction. The first subset includes articles for which the main objective is related to analyzing how energy literacy affects other aspects of the lives of people and societies, while the second contains documents in which energy literacy is used as a variable in the construction of models designed to explain and predict phenomena related to knowledge, environment, and energy consumption.
One of the aspects in which the influence of energy literacy is most addressed in literature, of course, is energy use. For example, this topic is addressed in the context of energy consumption of employees working in educational, health, and government buildings (Medojevic et al., 2016) [100]; electricity consumption (Blasch et al., 2017) [101]; and excessive energy consumption (Broberg and Kažukauskas, 2020) [102], both at the household level. It is also analyzed in the context of the barriers to the provision of solar energy systems in homes (Thomas et al., 2021) [103] and the implementation of renewable energies (Mehmood et al., 2022) [104]; activities that can change schedule due to the cost of energy and impacts on the environment (Walker and Hope, 2020) [105]; the willingness to adopt temporary tariffs on energy consumption (Reis et al., 2021) [106]; and the motivations and barriers to increase flexibility in individual electricity demand (Bohdanowicz et al., 2021) [107].
Similarly, the acceptance of energy generation technologies is analyzed (Sherren et al., 2019) [108], and preferences for efficient devices when knowing their emissions (He et al., 2022) [109] and refrigerators according to their energy characteristics (Olsthoorn et al., 2023) [110] are also assessed. Other contexts within which the influence of energy literacy is analyzed include community renewable energy projects (Cloke et al., 2017) [111], consumer awareness viewing efficiency labels when purchasing household appliances (He et al., 2022a) [112], and referring to the heuristics in household energy use (Van den Broek and Walker, 2019) [113] and the heuristics of energy experts (Kantenbacher and Attari, 2021) [114].
Regarding model construction, Mogles et al. (2017) [115] analyze the way in which different variables relate to each other and affect energy consumption. Within the same context, Satre-Meloy (2019) [116] applies different regularization series to regression models to analyze electricity consumption using information contained in a survey; Motz (2021) [117] analyzes the impact that demographic, behavioral, and attitudinal factors have on preferences regarding the price, origin, and reliability of electricity supply; and Reis et al. (2022) [118] analyze the behavior of a community with prosumers (a word that indicates those consumers involved in energy generation and storage activities) and vulnerable consumers. Chen et al. (2015) [119] evaluate the interaction that exists between knowledge, attitudes, self-efficacy, and behaviors related to energy, and Wang et al. (2021) [17] analyze the dynamics of environmental regulation, including regulatory authorities, companies, and civil society.

3.5. Other Lines of Research

In addition to the construction and application of measurement tools as well as the evaluation and impact of energy literacy in different sectors, there are other lines of research that are also frequently addressed in the literature. Through the review carried out, three main lines of research were found: Factors, referring to those variable elements that influence energy literacy; Education; exploring how energy-related teaching and learning are addressed in different educational programs; and Conceptual research, analyzing some concepts related to the study of energy literacy.
Regarding research related to factors, works were identified that explore the impact of practical activities among students in their final year of high school (Lin and Lu, 2018) [120] and the field of education (Martins et al., 2019) [121] on the level of energy literacy. Also, the effects of technological factors, such as smart energy sensors, are analyzed (de Leon Barido et al., 2018) [122]; the effects of geographical and contextual factors (such as socioeconomic situation, social practices and access to fuel and appliances) on children (Lusinga and de Groot, 2019) [123] and the effects of prices and transparency in the balance of markets (Numminen et al., 2022) [124] on energy literacy are also assessed. On the other hand, the common determinants among education, financial knowledge, and energy literacy among members of a university in Portugal are studied (Martins et al., 2022) [125].
The only work that explicitly mentions that the research was developed within the Mexican context (relevant due to the nationality and institutions of the authors) has to do with education (Castañeda-Garza and Valerio-Ureña, 2022) [126]. The document describes the review of related content with energy literacy in textbooks for primary education in Mexico. Also related to national education, Bogovic et al. (2013) [127] present the activities developed within the framework of two competitions on energy literacy in primary and secondary schools in Slovenia; Balouktsis and Kekkeris (2013) [128] describe the aspects of energy-related education at different levels of education in Greece; and Mažeikienė and Norkutė (2021) [129] analyze how energy topics are presented in the geography curriculum in Lithuania.
In other works related to energy literacy in education, Cotton et al. (2017) [130] analyze the potential risks of directing energy saving efforts solely to behavioral change and individual actions without increasing knowledge on energy issues; Van der Horst and Staddon (2017) [131] analyze the relationship that exists between research on energy behavior and management of energy demand in the home and educational research on learning processes;Salvia et al. (2020) [132] investigate the extent to which energy sustainability is considered in educational programs and dissemination activities in 36 universities around the world; and Pestana et al. (2021) [133] investigate the impact of some citizen energy education initiatives.
The last of the three main lines of research identified in the literature is on important concepts related to the analysis of energy literacy. Some of these works propose methodological frameworks that include different or more specific aspects than those normally included in the study of energy literacy. For example, Kavčič and Drevenšek (2014) [134] describe a methodological framework for energy literacy that includes nuclear energy; Lowan-Trudeau and Fowler (2021) [135] propose the concept of critical energy literacy, which considers social, environmental, political, economic, and technological aspects; and Gladwin and Ellis (2023) [136] propose a conceptual framework on energy literacy taking into account theoretical ideas and concepts to understand energy holistically.
Also, documents that analyze energy literacy among specific groups or sectors were identified. Such is the case of the works of Aguirre-Bielschowsky et al. (2018) [137], who investigate how nine- and ten-year-old children learn about electricity and how they consume it; Adams et al. (2022) [138] investigate the concept of energy literacy among vulnerable users, paying special attention to the specific dynamics of each place; and Plets and Kuijt (2022) [139], who analyze the meaning and impact of private financing in the Dutch heritage and museum sectors, and assess how it affects energy literacy.
Other works related to the conceptual research of energy literacy address the issues of analyzing the depth of energy knowledge gaps (Holasova, 2018) [140]; analysis of how to display information on the energy consumption of electrical devices in monetary terms, rather than in physical units, increases the likelihood that an individual will make a calculation and identify the device with the lowest cost throughout its life cycle (Blasch et al., 2019) [141]; promoting the sociocultural aspects of energy literacy as a basis for energy and climate justice (Gladwin et al., 2022) [142]; and the analysis of the contribution that energy cooperatives have when implementing and disseminating programs that promote energy literacy (Meira et al., 2022) [143].

4. Discussion

Amidst several global challenges, the world is facing an energy crisis. To face it, governments aim to guarantee universal energy access and maintain energy security. At the same time, there is a pressing need to mitigate climate change, and this requires reducing the burning of fossil fuels—oil, natural gas, and coal—which can make it difficult to achieve energy security and universal access to energy services. Furthermore, the negative effects of climate change, such as natural disasters and extreme temperatures, are adding extra pressure to global energy systems, making the current situation even more complicated.
One of the possible solutions is the energy transition (or transitions, since each country or region will have one), in which the aim is to move from an energy matrix based on fossil fuels to a low-carbon matrix with energy efficiency, renewable sources, and distributed generation as pillars. In this sense, variable renewable energies (such as solar photovoltaic and wind) require large investments for the digitalization of electricity transmission and distribution networks; however, decentralized electricity generation models can eliminate this obstacle and leverage local capabilities to create socio-technical energy systems where communities produce, manage, and generate their energy.
According to the International Renewable Energy Agency (IRENA), energy transitions around the world require (1) physical infrastructure; (2) public policy and regulatory enablers; and (3) knowledge and capabilities (IRENA, 2023) [144]. Renewable energies and clean technologies are not only available but also affordable. However, the speed at which energy decentralization is progressing is still very low. One of the reasons for this is the lack of knowledge on the technology and its economic and environmental advantages. Getting people to adopt technology, no matter how attractive it may seem, requires overcoming the threshold of mistrust and resistance to change. This is only possible through strategies that bring knowledge closer to people. This knowledge, which should not be theoretical, must be internalized by people so that it moves them to action. Without this current knowledge, technological adoption will continue to advance slowly, and we will fail to address the climate emergency due to the generation of electricity with fossil and polluting sources (O’Neill-Carrillo et al., 2018) [145]. Therefore, the change in energy systems will require a well-informed and participatory citizenship, who understands the importance of transitions and can be part of the decisions when investing in infrastructure, encouraging a low-carbon matrix through public policies, and of course, being able to participate first-hand as trained human resources. It is within this context that the research field of energy literacy develops.
In the scientific literature, there are several definitions of energy literacy. Broadly speaking, it can be said that energy literacy is the understanding of how energy is generated, transported, stored, distributed, and used; awareness about the environmental and social impacts of its generation and use; and the knowledge to use it efficiently in the different sectors of the economy. The present work seeks to contribute to the study of energy literacy by answering the research question, what are the aspects and methodologies on energy literacy that are addressed in the scientific literature? To answer it, a systematic review of the literature was carried out, and the documents were grouped according to the main objective they pursue.
According to the review carried out, the research question can be answered by saying that most of the scientific knowledge on energy literacy addresses the evaluation of energy literacy in different populations, in particular students of different levels, and the construction, application, and evaluation of tools to improve energy literacy. Other frequent topics studied are the influence of energy literacy on decision-making, the factors that impact the level of energy literacy, and the conceptual study of energy literacy. It is important to mention that the objective of this work is to propose a qualitative classification of the articles that address the topic of energy literacy and then broadly describe the contribution they have to this field of research. However, this classification can be improved and adapted to incorporate other types of documents, for example those that address more than one main objective.
As for the correlation with the other two reviews on the subject, this work is similar to the one carried out by Martins et al. (2020) [24], although with different approaches. They also organize the literature but focus on the dimensions of knowledge, affectivity, and behavior. The researchers conclude that most of the documents seek to assess the level of energy literacy, as it is noted in the present paper. Our work aimed to go further, defining categories and subcategories and describing the main features of each work together with similar studies. The review performed by Van Den Broek (2019) [16] varies from this one as it organizes the literature in a conceptual and methodological manner. For this reason, they discuss and conclude their findings from another perspective.
The bibliographic review carried out also allows us to grasp the importance of energy literacy in populations, so that final consumers can make efficient use of energy and they can participate in decision-making regarding energy technologies generation, transmission, and distribution of energy vectors. Above all, from the authors’ point of view, it is important that people can participate in energy transitions worldwide, especially the energy transition specific to their sociocultural context. Many things are required to have just energy systems, and energy literacy is a fundamental factor in achieving them.
From the review, it can be said that energy literacy is a research topic that has gained strength in recent years. Most researchers agree on its potential to promote efficient energy consumption and ensure sustainable development. For example, Lee et al. (2015) [34] state that energy literacy can empower people to make wise decisions and take responsible actions. In the same direction, Gołębiowska (2020) [52] mentions that increasing energy literacy can be key to ensuring sustainable development in the coming years. Martins and collaborators (2020) [53] expect that basic knowledge about energy and financial knowledge will serve to provide citizens with the tools and motivation to make the necessary changes and achieve efficient consumption habits.
However, the same authors mention that most studies show that even in populations that have adequate knowledge about energy, this knowledge does not transform into a strong motivation leading to behavioral changes (Martins et al., 2020) [53]. Although in most of the documents reviewed there is consensus on the importance of energy literacy, the disagreements are whether energy literacy translates into efficient energy consumption. In this regard, Adams et al. (2022) [138] mention that several researchers have found that the data suggest that there is no correlation between an increase in energy literacy and an increase in sustainability. This finding coincides with the statement of Van den Broek (2019) [16], who says that the literature shows little evidence of the impact of energy literacy on energy consumption habits.
Although the way energy is used may not be strongly related to the level of knowledge, an informed and energy-literate citizen is more likely to participate in decision-making processes and will be better prepared to choose and act responsibly on energy issues (DeWaters and Powers, 2013) [15]. The authors of the present paper consider that regardless of whether the increase in knowledge about energy makes an impact on actions aimed at having efficient energy consumption, energy literacy is essential for people who seek to improve their energy use habits and contribute to sustainable development can do it effectively. Most likely, knowing the environmental and social impacts of the generation, transportation, and use of energy can encourage people to change their consumption habits.
One of the main gaps found in the literature is how to encourage energy-literate persons to use energy efficiently. This is a significant issue since it is necessary not only to improve energy literacy among the population but also for energy-literate citizens to actively participate in tackling the energy crisis. Another important gap is the heuristics on energy consumption, with few papers researching this field (Van Den Broek & Walker, 2019 [113] and Kantenbacher & Attari, 2021 [114]). There are also gaps when analyzing the energy poverty—energy literacy link. In this regard, Białynicki-Birula et al. (2022) [61] acknowledges energy poverty as one of the main factors determining energy literacy. However, energy literacy has the potential to aid within the homes facing energy poverty, and there is a clear lack of research on this link. Finally, there is a gap in the literature concerning the research carried out in Latin American countries. We hope that this paper can bring the discussion to these countries, and especially, that this work can contribute to the implementation of improvement tools.
The present work seeks to fill a gap in the literature concerning a review on how energy literacy is addressed in the scientific literature. It contributes to the research field by providing a systematic arrangement of the documents researching energy literacy and describing its main features and contributions. The work also highlights a non-consensus topic: the link between energy-literate persons and efficient energy use. Finally, this paper presents important aspects of energy literacy that are under-researched and can be used as a starting point to undertake these fields. As for future work, it is important that spaces be built to improve energy literacy, especially in Latin America, both with formal education programs at different educational levels and with non-formal education projects to be able to access the majority of the population. Also, it is necessary to build tools for the evaluation of energy literacy in people and know what the main issues are to improve. Another important research opportunity is found in the correlation between energy literacy and the efficient use of energy, particularly on the mechanisms that can improve this relationship and ensure that people with advanced knowledge about energy are precisely those who consume it efficiently.
The energy crisis poses a risk for homes and societies, and energy literacy plays a key role in addressing this problem. Energy-literate people can make efficient use of energy, participate and promote energy-related decision-making, and contribute to the construction of more just energy futures. It is essential that governments and the private sector, particularly energy companies, become involved in improving the level of energy literacy of civil society; however, academia must be the protagonist in this sense. Scientists working on energy issues must actively participate in developing citizenship with a high level of energy literacy who are capable of participating in an informed manner in decisions related to energy and exhibit sustainable energy consumption, both individually as well as collectively.

Author Contributions

Conceptualization, O.S.S.; methodology, O.S.S. and K.G.C.; software, K.G.C.; validation, O.S.S. and K.G.C.; formal analysis, O.S.S.; investigation, O.S.S. and K.G.C.; resources, O.S.S. and K.G.C.; data curation, O.S.S.; writing—original draft preparation, O.S.S.; writing—review and editing, O.S.S. and K.G.C.; visualization, O.S.S.; supervision, O.S.S. and K.G.C.; project administration, O.S.S. All authors have read and agreed to the published version of the manuscript.

Funding

The author O.S.S. thanks the Mexican National Council of Humanities, Sciences and Technologies (CONAHCyT) for the postdoctoral grant (application number 4198764) provided for the completion of this work.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. UNEP (United Nations Environment Programme). Why Does Energy Matter? 2023. Available online: https://www.unep.org/explore-topics/energy/why-does-energy-matter (accessed on 15 February 2023).
  2. UN (United Nations); UN-Energy. UN-Energy Highlights Implementing the UN-Energy Plan of Action towards 2025. 2022. Available online: https://www.un.org/sites/un2.un.org/files/un-energy_highlights-092222.pdf (accessed on 1 July 2023).
  3. UNDP (United Nations Development Programme). Energy and Climate. 2023. Available online: https://www.undp.org/energy/our-work-areas/energy-and-climate (accessed on 15 February 2023).
  4. UN (United Nations). What Is Climate Change? 2023. Available online: https://www.un.org/en/climatechange/what-is-climate-change (accessed on 23 January 2023).
  5. Heffron, R.J.; McCauley, D.; Sovacool, B.K. Resolving society’s energy trilemma through the Energy Justice Metric. Energy Policy 2015, 87, 168–176. [Google Scholar] [CrossRef]
  6. Gunningham, N. Managing the energy trilemma: The case of Indonesia. Energy Policy 2013, 54, 184–193. [Google Scholar] [CrossRef]
  7. Thomson, H.; Simcock, N.; Bouzarovski, S.; Petrova, S. Energy poverty and indoor cooling: An overlooked issue in Europe. Energy Build. 2019, 196, 21–29. [Google Scholar] [CrossRef]
  8. Tomei, J.; Gent, D. Equity and the Energy Trilemma Delivering Sustainable Energy Access in Low-Income Communities. International Institute for Environment and Development. 2015. Available online: https://www.iied.org/sites/default/files/pdfs/migrate/16046IIED.pdf (accessed on 1 July 2023).
  9. Thomson, H.; Day, R.; Ricalde, K.; Brand-Correa, L.I.; Cedano, K.; Martinez, M.; Santillán, O.; Triana, Y.D.; Cordova, J.G.L.; Gómez, J.F.M.; et al. Understanding, recognizing, and sharing energy poverty knowledge and gaps in Latin America and the Caribbean—because conocer es resolver. Energy Res. Soc. Sci. 2022, 87, 102475. [Google Scholar] [CrossRef]
  10. Kanchana, K.; Unesaki, H. Assessing Energy Security Using Indicator-Based Analysis: The Case of ASEAN Member Countries. Soc. Sci. 2015, 4, 1269–1315. [Google Scholar] [CrossRef]
  11. IEA (International Energy Agency). World Energy Outlook 2022. 2022. Available online: https://www.iea.org/reports/world-energy-outlook-2022 (accessed on 1 June 2023).
  12. Cergibozan, R. Renewable energy sources as a solution for energy security risk: Empirical evidence from OECD countries. Renew. Energy 2021, 183, 617–626. [Google Scholar] [CrossRef]
  13. Chomać-Pierzecka, E.; Sobczak, A.; Urbańczyk, E. RES Market Development and Public Awareness of the Economic and Environmental Dimension of the Energy Transformation in Poland and Lithuania. Energies 2022, 15, 5461. [Google Scholar] [CrossRef]
  14. Chávez, H.A.R. Información y ciudadanía, una propuesta desde la gobernanza. Investig. Bibl. Arch. Bibl. E Inf. 2015, 29, 113–140. [Google Scholar] [CrossRef]
  15. DeWaters, J.; Powers, S. Establishing Measurement Criteria for an Energy Literacy Questionnaire. J. Environ. Educ. 2013, 44, 38–55. [Google Scholar] [CrossRef]
  16. Van den Broek, K.L. Household energy literacy: A critical review and a conceptual typology. Energy Res. Soc. Sci. 2019, 57, 57. [Google Scholar] [CrossRef]
  17. Wang, M.; Hou, G.; Wang, P.; You, Z. Research of energy literacy and environmental regulation research based on tripartite deterrence game model. International Conference on Energy Engineering and Power Systems (EEPS). Energy Rep. 2021, 7, 1084–1091. [Google Scholar] [CrossRef]
  18. del Río, J.A.; Garcia, E.O.; Ramirez, A.M.; Humenik, J.A. Phenomenological approach to profile impact of scientific research: Citation mining. Adv. Complex Syst. 2002, 5, 19–42. [Google Scholar] [CrossRef]
  19. Kostoff, R.N.; del Río, J.A.; Humenik, J.A.; García, E.O.; Ramírez, A.M. Citation mining: Integrating text mining and bibliometrics for research user profiling. J. Am. Soc. Inf. Sci. Technol. 2001, 52, 1148–1156. [Google Scholar] [CrossRef]
  20. Cortés, H.D.; del Rio, J.A.; Garcia, E.O.; Robles, M. Web application to profiling scientific institutions through citation mining. Int. J. Comput. Informat. Eng. 2008, 2, 3213–3217. [Google Scholar]
  21. Ortuño, M.; Carpena, P.; Bernaola-Galván, P.; Muñoz, E.; Somoza, A.M. Keyword detection in natural languages and DNA. EPL Europhys. Lett. 2002, 57, 759–764. [Google Scholar] [CrossRef]
  22. Reiss, H.; Hammerich, A.D.; Montroll, E.W. Thermodynamic treatment of nonphysical systems: Formalism and an example (Single-lane traffic). J. Stat. Phys. 1986, 42, 647–687. [Google Scholar] [CrossRef]
  23. Russell, J.M.; Del Río, J.A.; Cortés, H.D. Highly visible science: A look at three decades of research from Argentina, Brazil, Mexico and Spain. Interciencia 2007, 32, 629–634. [Google Scholar]
  24. Martins, A.; Madaleno, M.; Dias, M.F. Energy literacy: What is out there to know? Energy Rep. 2019, 6, 454–459. [Google Scholar] [CrossRef]
  25. Güven, G.; Yakar, A.; Sülün, Y. Adaptation of the energy literacy scale into turkish: A validity and reliability study. Cukurova Univ. Facult. Educ. J. 2019, 48, 821–857. [Google Scholar]
  26. Cotton, D.R.E.; Winter, J.; Miller, W.; Valle, L.D. Is students’ energy literacy related to their university’s position in a sustainability ranking? Environ. Educ. Res. 2017, 24, 1611–1626. [Google Scholar] [CrossRef]
  27. Cotton, D.; Zhai, J.; Miller, W.; Valle, L.D.; Winter, J. Reducing energy demand in China and the United Kingdom: The importance of energy literacy. J. Clean. Prod. 2020, 278, 123876. [Google Scholar] [CrossRef]
  28. De Waters, J.; Qaqish, B.; Graham, M.; Powers, S. Designing an Energy Literacy Questionnaire for Middle and High School Youth. J. Environ. Educ. 2013, 44, 56–78. [Google Scholar] [CrossRef]
  29. Turner, M.; Foreman, C.; Perusich, K. Development of an electric energy literacy survey. In Proceedings of the 2014 International Energy and Sustainability Conference (IESC), New York, NY, USA, 5–6 October 2015; pp. 1–5. [Google Scholar]
  30. Yusup, M.; Setiawan, A.; Rustaman, N.Y.; Kaniawati, I. Developing a Framework for The Assessment of Pre-Service Physics Teachers’ Energy Literacy. J. Phys. 2017, 877, 012014. [Google Scholar] [CrossRef]
  31. Martins, A.; Madaleno, M.; Dias, M.F. Energy literacy assessment among Portuguese university members: Knowledge, attitude, and behavior. Energy Rep. 2020, 6, 243–249. [Google Scholar] [CrossRef]
  32. Das, R.R.; Richman, R. The Development and Application of a Public Energy Literacy Instrument. Can. J. Sci. Math. Technol. Educ. 2022, 22, 42–67. [Google Scholar] [CrossRef]
  33. Lee, L.-S.; Chang, L.-T.; Lai, C.-C.; Guu, Y.-H.; Lin, K.-Y. Energy literacy of vocational students in Taiwan. Environ. Educ. Res. 2015, 23, 855–873. [Google Scholar] [CrossRef]
  34. Lee, L.-S.; Lee, Y.-F.; Altschuld, J.W.; Pan, Y.-J. Energy literacy: Evaluating knowledge, affect, and behavior of students in Taiwan. Energy Policy 2015, 76, 98–106. [Google Scholar] [CrossRef]
  35. Lee, L.-S.; Lee, Y.-F.; Wu, M.-J.; Pan, Y.-J. A study of energy literacy among nursing students to examine implications on energy conservation efforts in Taiwan. Energy Policy 2019, 135, 111005. [Google Scholar] [CrossRef]
  36. Lee, Y.-F.; Nguyen, H.B.N.; Sung, H.-T. Energy literacy of high school students in Vietnam and determinants of their energy-saving behavior. Environ. Educ. Res. 2022, 28, 907–924. [Google Scholar] [CrossRef]
  37. De Waters, J.; Powers, S. Energy literacy among middle and high school youth. In Proceedings of the 38th Annual 2008 IEEE Frontiers in Education Conference (FIE), Saratoga Springs, NY, USA, 22–25 October 2008; pp. T2F-6–T2F-11. [Google Scholar]
  38. DeWaters, J.E.; Powers, S.E. Energy literacy of secondary students in New York State (USA): A measure of knowledge, affect, and behavior. Energy Policy 2011, 39, 1699–1710. [Google Scholar] [CrossRef]
  39. DeWaters, J.E.; Powers, S.E. Improving energy literacy among middle school youth with project-based learning pedagogies. In Proceedings of the 2011 Frontiers in Education Conference (FIE), Rapid City, SD, USA, 13–15 October 2011; pp. T1D-1–T1D-7. [Google Scholar]
  40. Bodzin, A. Investigating Urban Eighth-Grade Students’ Knowledge of Energy Resources. Int. J. Sci. Educ. 2012, 34, 1255–1275. [Google Scholar] [CrossRef]
  41. Brounen, D.; Kok, N.; Quigley, J.M. Energy literacy, awareness, and conservation behavior of residential households. Energy Econ. 2013, 38, 42–50. [Google Scholar] [CrossRef]
  42. Aguirre-Bielschowsky, I.; Lawson, R.; Stephenson, J.; Todd, S. Energy literacy and agency of New Zealand children. Environ. Educ. Res. 2015, 23, 832–854. [Google Scholar] [CrossRef]
  43. E Cotton, D.R.; Miller, W.; Winter, J.; Bailey, I.; Sterling, S. Developing students’ energy literacy in higher education. Int. J. Sustain. High. Educ. 2015, 16, 456–473. [Google Scholar] [CrossRef]
  44. Sovacool, B.K.; Blyth, P.L. Energy and environmental attitudes in the green state of Denmark: Implications for energy democracy, low carbon transitions, and energy literacy. Environ. Sci. Policy 2015, 54, 304–315. [Google Scholar] [CrossRef]
  45. Sovacool, B.K. Differing cultures of energy security: An international comparison of public perceptions. Renew. Sustain. Energy Rev. 2016, 55, 811–822. [Google Scholar] [CrossRef]
  46. Keramitsoglou, K.M. Exploring adolescents’ knowledge, perceptions and attitudes towards Renewable Energy Sources: A colour choice approach. Renew. Sustain. Energy Rev. 2016, 59, 1159–1169. [Google Scholar] [CrossRef]
  47. Yeh, S.-C.; Huang, J.-Y.; Yu, H.-C. Analysis of Energy Literacy and Misconceptions of Junior High Students in Taiwan. Sustainability 2017, 9, 423. [Google Scholar] [CrossRef]
  48. Yusup, M.; Setiawan, A.; Rustaman, N.Y.; Kaniawati, I. Assessing Pre-Service Physics Teachers’ Energy Literacy: An Application of Rasch measurement. J. Physics: Conf. Ser. 2017, 895, 012161. [Google Scholar] [CrossRef]
  49. Yusup, M.; Setiawan, A.; Rustaman, N.; Kaniawati, I. Pre-service Physics Teachers’ Knowledge, Decision Making, and Self-system Toward Energy Conservation. J. Pendidik. Fis. Indones. 2018, 14, 60–64. [Google Scholar] [CrossRef]
  50. Martins, A.; Madaleno, M.; Dias, M.F. Energy Literacy: Knowledge, affect, and behavior of university members in Portugal. In Proceedings of the 2019 16th International Conference on the European Energy Market (EEM), Ljubljana, Slovenia, 18–20 September 2019. [Google Scholar]
  51. Paige, F.; Agee, P.; Jazizadeh, F. flEECe, an energy use and occupant behavior dataset for net-zero energy affordable senior residential buildings. Sci. Data 2019, 6, 1–9. [Google Scholar] [CrossRef] [PubMed]
  52. Gołębiowska, B. Energy literacy in Poland. Econ. Environ. 2020, 73, 23. [Google Scholar] [CrossRef]
  53. Martins, A.; Madaleno, M.; Dias, M.F. Financial Knowledge’s Role in Portuguese Energy Literacy. Energies 2020, 13, 3412. [Google Scholar] [CrossRef]
  54. Zhang, J.; Zhang, Y. Examining the energy literacy of tourism peasant households in rural tourism destinations. Asia Pac. J. Tour. Res. 2020, 25, 441–456. [Google Scholar] [CrossRef]
  55. Lasuen, U.O.; Iragorri, M.A.O.; Diez, J.R. Towards energy transition at the Faculty of Education of Bilbao (UPV/EHU): Diagnosing community and building. Int. J. Sustain. High. Educ. 2020, 21, 1277–1296. [Google Scholar] [CrossRef]
  56. Hsu, Y.-C. A Pilot Study to Incorporate Collaboration and Energy Competency into an Engineering Ethics Course. Educ. Sci. 2020, 10, 72. [Google Scholar] [CrossRef]
  57. Filippini, M.; Kumar, N.; Srinivasan, S. Energy-related financial literacy and bounded rationality in appliance replacement attitudes: Evidence from Nepal. Environ. Dev. Econ. 2020, 25, 399–422. [Google Scholar] [CrossRef]
  58. Laliyo, L.A.R.; Puluhulawa, F.U.; Eraku, S.; Salimi, Y.K. The Prevalence of Students and Teachers’ Ideas about Global Warming and the Use of Renewable Energy Technology. J. Environ. Account. Manag. 2020, 8, 243–256. [Google Scholar] [CrossRef]
  59. Chodkowska-Miszczuk, J.; Kola-Bezka, M.; Lewandowska, A.; Martinát, S. Local Communities’ Energy Literacy as a Way to Rural Resilience—An Insight from Inner Peripheries. Energies 2021, 14, 2575. [Google Scholar] [CrossRef]
  60. Sayarkhalaj, H.; Khesal, M.F. Investigating energy literacy and its structural model for citizens of Mashhad. Heliyon 2022, 8, e11449. [Google Scholar] [CrossRef] [PubMed]
  61. Białynicki-Birula, P.; Makieła, K.; Mamica, Ł. Energy Literacy and Its Determinants among Students within the Context of Public Intervention in Poland. Energies 2022, 15, 5368. [Google Scholar] [CrossRef]
  62. Force, T.S.; Longe, O.M. Impact of Energy Literacy on Energy Consumption, Expenditure and Management. In Proceedings of the 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON), Lagos, Nigeria, 5–7 April 2022; pp. 1–5. [Google Scholar]
  63. Franco, D.; Macke, J.; Cotton, D.; Paço, A.; Segers, J.-P.; Franco, L. Student energy-saving in higher education tackling the challenge of decarbonisation. Int. J. Sustain. High. Educ. 2022, 23, 1648–1666. [Google Scholar] [CrossRef]
  64. Zanocco, C.; Sun, T.; Stelmach, G.; Flora, J.; Rajagopal, R.; Boudet, H. Assessing Californians’ awareness of their daily electricity use patterns. Nat. Energy 2022, 7, 1191–1199. [Google Scholar] [CrossRef]
  65. Gervich, C.D. The Impact of Extremely Low Electric Rates on Energy Conservation, Planning and Resilience: A Case Study of Plattsburgh, New York. Public Work. Manag. Policy 2022, 28, 476–517. [Google Scholar] [CrossRef]
  66. Wu, S.; Li, Y.; Fang, C.; Ju, P. Energy Literacy of Residents and Sustainable Tourism Interaction in Ethnic Tourism: A Study of the Longji Terraces in Guilin, China. Energies 2022, 16, 259. [Google Scholar] [CrossRef]
  67. Merritt, E.G.; Weinberg, A.E.; Archambault, L. Exploring Energy Through the Lens of Equity: Funds of Knowledge Conveyed Through Video-Based Discussion. Int. J. Sci. Math. Educ. 2023, 1–24. [Google Scholar] [CrossRef]
  68. Langfitt, Q.; Haselbach, L.; Hougham, R.J. Artifact-Based Energy Literacy Assessment Utilizing Rubric Scoring. J. Prof. Issues Eng. Educ. Pr. 2015, 141, C5014002. [Google Scholar] [CrossRef]
  69. van der Horst, D.; Harrison, C.; Staddon, S.; Wood, G. Improving energy literacy through student-led fieldwork—At home. J. Geogr. High. Educ. 2015, 40, 67–76. [Google Scholar] [CrossRef]
  70. Huang, Y.; Chou, Y.-C.; Yen, H.-W.; Bai, H.-C. Developing an Innovative Educational Program for Energy Saving and Carbon Reduction: An Elementary School Example. Procedia Soc. Behav. Sci. 2012, 51, 840–848. [Google Scholar] [CrossRef]
  71. Merritt, E.G.; Bowers, N.; Rimm-Kaufman, S.E. Making connections: Elementary students’ ideas about electricity and energy resources. Renew. Energy 2019, 138, 1078–1086. [Google Scholar] [CrossRef]
  72. Jeng, C.C.; Shin, C.Y.; Ho, W.C.; Han, C. A Computer Game Designed for Helping Kids to Make Informed Energy Decision. In Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013), Beijing, China, 25–26 August 2013; Atlantis Press: Dordrecht, The Netherlands, 2013; pp. 403–407. [Google Scholar]
  73. Fraternali, P.; Gonzalez, S.L.H. An Augmented Reality Game for Energy Awareness. In Computer Vision Systems: 12th International Conference, ICVS 2019, Thessaloniki, Greece, 23–25 September 2019; Springer International Publishing: Berlin/Heidelberg, Germany, 2019; pp. 629–638. [Google Scholar]
  74. Chen, K.-L.; Huang, S.-H.; Liu, S.-Y. Devising a framework for energy education in Taiwan using the analytic hierarchy process. Energy Policy 2013, 55, 396–403. [Google Scholar] [CrossRef]
  75. Tarabieh, K.A.; Elnabarawy, I.O.; Mashaly, I.A.; Rashed, Y.M. The power of data visualization: A prototype energy performance map for a university campus. In Sustainable Human–Building Ecosystems; American Society of Civil Engineers: Reston, VA, USA, 2015; pp. 194–203. [Google Scholar] [CrossRef]
  76. Wahyudi, W.; A Pambudi, N.; Biddinika, M.K.; Ranto, R.; Rudiyanto, B. Readability of geothermal energy information in vocational textbooks. J. Phys. Conf. Ser. 2019, 1402, 044060. [Google Scholar] [CrossRef]
  77. Ilmi, N.; Sanjaya, L.A.; Budi, A.S.; Astra, I.M.; Puspa, D.R.W.; Dinata, F.A.; Putri, R.A.; Winarko, H.B.; Pertiwi, W.A.; Rasmi, D.P. Project based learning: Model electric power plants MaS WaWi (biomass, sun, water, and wind) to improve student energy literacy. AIP Conf. Proc. 2021, 2912, 010001. [Google Scholar]
  78. Moret, S.; Codina Gironès, V.; Maréchal, F.; Favrat, D. Swiss-energyscope. ch: A platform to widely spread energy literacy and aid decision-making. In Proceedings of the 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES 2014), Prague, Czech Republic, 23–27 August 2014; Volume 39, pp. 877–882. [Google Scholar] [CrossRef]
  79. Moreno, M.V.; Zamora, M.A.; Skarmeta, A.F. An IoT based framework for user-centric smart building services. Int. J. Web Grid Serv. 2015, 11, 78. [Google Scholar] [CrossRef]
  80. Zapico, J.L.; Hedin, B. Energy weight: Tangible interface for increasing energy literacy. In Proceedings of the 2017 Sustainable Internet and ICT for Sustainability (SustainIT), Funchal, Portugal, 6–7 December 2017. [Google Scholar]
  81. Mogles, N.; Walker, I.; Ramallo-González, A.P.; Lee, J.; Natarajan, S.; Padget, J.; Gabe-Thomas, E.; Lovett, T.; Ren, G.; Hyniewska, S.; et al. How smart do smart meters need to be? Build. Environ. 2017, 125, 439–450. [Google Scholar] [CrossRef]
  82. Spence, A.; Goulden, M.; Leygue, C.; Banks, N.; Bedwell, B.; Jewell, M.; Yang, R.; Ferguson, E. Digital energy visualizations in the workplace: The e-Genie tool. Build. Res. Inf. 2017, 46, 272–283. [Google Scholar] [CrossRef]
  83. DeWaters, J.; Powers, S. Work in Progress: A Pilot Study to Assess the Impact of a Special Topics Energy Module on Improving Energy Literacy of High School Youth. Proceedings. Frontiers in Education. In Proceedings of the 36th Annual Conference Frontiers in Education, San Diego, CA, USA, 27–31 October 2006; pp. 11–12. [Google Scholar]
  84. Bodzin, A.M.; Fu, Q.; Peffer, T.E.; Kulo, V. Developing Energy Literacy in US Middle-Level Students Using the Geospatial Curriculum Approach. Int. J. Sci. Educ. 2013, 35, 1561–1589. [Google Scholar] [CrossRef]
  85. Wood, G.; van der Horst, D.; Day, R.; Bakaoukas, A.G.; Petridis, P.; Liu, S.; Jalil, L.; Gaterell, M.; Smithson, E.; Barnham, J.; et al. Serious games for energy social science research. Technol. Anal. Strat. Manag. 2014, 26, 1212–1227. [Google Scholar] [CrossRef]
  86. Karpudewan, M.; Ponniah, J.; Zain, A.N.M. Project-Based Learning: An Approach to Promote Energy Literacy Among Secondary School Students. Asia-Pacific Educ. Res. 2015, 25, 229–237. [Google Scholar] [CrossRef]
  87. Canfield, C.; de Bruin, W.B.; Wong-Parodi, G. Perceptions of electricity-use communications: Effects of information, format, and individual differences. J. Risk Res. 2016, 20, 1132–1153. [Google Scholar] [CrossRef]
  88. Yang, J.C.; Lin, Y.L.; Liu, Y.-C. Effects of locus of control on behavioral intention and learning performance of energy knowledge in game-based learning. Environ. Educ. Res. 2017, 23, 886–899. [Google Scholar] [CrossRef]
  89. Herrmann, M.R.; Brumby, D.P.; Oreszczyn, T. Watts your usage? A field study of householders’ literacy for residential electricity data. Energy Effic. 2017, 11, 1703–1719. [Google Scholar] [CrossRef]
  90. Herrmann, M.R.; Brumby, D.P.; Oreszczyn, T.; Gilbert, X.M.P. Does data visualization affect users’ understanding of electricity consumption? Build. Res. Inf. 2017, 46, 238–250. [Google Scholar] [CrossRef]
  91. Hedin, B.; Zapico, J.L. What Can You Do with 100 kWh? A Longitudinal Study of Using an Interactive Energy Comparison Tool to Increase Energy Awareness. Sustainability 2018, 10, 2269. [Google Scholar] [CrossRef]
  92. Snow, S.; Viller, S.; Glencross, M.; Horrocks, N. Where Are They Now? Revisiting energy use feedback a decade after deployment. In Proceedings of the Ozchi’19: 31st Australian Conference on Human-Computer-Interaction, New York, NY, USA, 2–5 December 2019; pp. 397–401. [Google Scholar]
  93. García-Manzano, R.; Ramallo-González, A.P.; Sanchez-Iborra, R. Energy Representation Tool for Air Conditioning that Enhance Energy Savings and Improve Energy Literacy on Users. In Proceedings of the 16th IBPSA Conference, Rome, Italy, 2–4 September 2019. [Google Scholar] [CrossRef]
  94. Applebaum, L.R.; Price, C.A.; Foster, A.Y. Collaboration and Competition in Exhibit Facilitation Around Energy Literacy. J. Mus. Educ. 2021, 46, 113–126. [Google Scholar] [CrossRef]
  95. Rimm-Kaufman, S.E.; Merritt, E.G.; Lapan, C.; De Coster, J.; Hunt, A.; Bowers, N. Can service-learning boost science achievement, civic engagement, and social skills? A randomized controlled trial of Connect Science. J. Appl. Dev. Psychol. 2021, 74, 101236. [Google Scholar] [CrossRef]
  96. Ntouros, V.; Romanowicz, J.; Charalambous, C.; Kousis, I.; Laskari, M.; Assimakopoulos, M.N. Empowering Students to Save Energy through a Behavioural Change Campaign in University Accommodation. In Proceedings of the Resilience and economic intelligence through digitalizationand big data analytics, Bucharest, Romania, 10–11 June 2021. [Google Scholar] [CrossRef]
  97. Henni, S.; Franz, P.; Staudt, P.; Peukert, C.; Weinhardt, C. Evaluation of an interactive visualization tool to increase energy literacy in the building sector. Energy Build. 2022, 266, 112116. [Google Scholar] [CrossRef]
  98. Keller, L.; Riede, M.; Link, S.; Hüfner, K.; Stötter, J. Can Education Save Money, Energy, and the Climate?—Assessing the Potential Impacts of Climate Change Education on Energy Literacy and Energy Consumption in the Light of the EU Energy Efficiency Directive and the Austrian Energy Efficiency Act. Energies 2022, 15, 1118. [Google Scholar] [CrossRef]
  99. Ramallo-González, A.P.; Bardaki, C.; Kotsopoulos, D.; Tomat, V.; Vidal, A.G.; Ruiz, P.J.F.; Gómez, A.S. Reducing Energy Consumption in the Workplace via IoT-Allowed Behavioural Change Interventions. Buildings 2022, 12, 708. [Google Scholar] [CrossRef]
  100. Medojevic, M.; Medojevic, M.; Petrovic, J.; Delic, M. Energy Consumption Indicators of Public Facilities in AP Vojvodina with Focus on Human Factor and Factors Influencing Energy-Saving Behavior of Employees. In Proceedings of the 6th International Conference on Energy Research and Development, Kuwait City, Kuwait, 14–16 March 2016; pp. 17–24. [Google Scholar]
  101. Blasch, J.; Boogen, N.; Filippini, M.; Kumar, N. Explaining electricity demand and the role of energy and investment literacy on end-use efficiency of Swiss households. Energy Econ. 2017, 68, 89–102. [Google Scholar] [CrossRef]
  102. Broberg, T.; Kažukauskas, A. Information policies and biased cost perceptions—The case of Swedish residential energy consumption. Energy Policy 2020, 149, 112095. [Google Scholar] [CrossRef]
  103. Thomas, P.; Sandwell, P.; Williamson, S.; Harper, P. A PESTLE analysis of solar home systems in refugee camps in Rwanda. Renew. Sustain. Energy Rev. 2021, 143, 110872. [Google Scholar] [CrossRef]
  104. Mehmood, A.; Lin, R.; Zhang, L.; Lee, C.K.; Ren, J. Qualitative mapping of barriers to the renewables’ development against energy literacy dimensions: A case study of Pakistan. Energy Rep. 2022, 8, 332–337. [Google Scholar] [CrossRef]
  105. Walker, I.; Hope, A. Householders’ readiness for demand-side response: A qualitative study of how domestic tasks might be shifted in time. Energy Build. 2020, 215, 109888. [Google Scholar] [CrossRef]
  106. Reis, I.F.G.; Lopes, M.A.R.; Antunes, C.H. Energy literacy: An overlooked concept to end users’ adoption of time-differentiated tariffs. Energy Effic. 2021, 14, 1–28. [Google Scholar] [CrossRef]
  107. Bohdanowicz, Z.; Kowalski, J.; Kobyliński, P. Engaging Electricity Users in Italy, Denmark, Spain, and France in Demand-Side Management Solutions. In Proceedings of the Conference on Multimedia, Interaction, Design and Innovation, Warsaw, Poland, 9–10 December 2021; Cham: Geneva, Switzerland, 2021; pp. 171–178. [Google Scholar]
  108. Sherren, K.; Parkins, J.R.; Owen, T.; Terashima, M. Does noticing energy infrastructure influence public support for energy development? Evidence from a national survey in Canada. Energy Res. Soc. Sci. 2019, 51, 176–186. [Google Scholar] [CrossRef]
  109. He, S.; Blasch, J.; van Beukering, P. How does information on environmental emissions influence appliance choice? The role of values and perceived environmental impacts. Energy Policy 2022, 168, 113142. [Google Scholar] [CrossRef]
  110. Olsthoorn, M.; Schleich, J.; Guetlein, M.-C.; Durand, A.; Faure, C. Beyond energy efficiency: Do consumers care about life-cycle properties of household appliances? Energy Policy 2023, 174, 113430. [Google Scholar] [CrossRef]
  111. Cloke, J.; Mohr, A.; Brown, E. Imagining renewable energy: Towards a Social Energy Systems approach to community renewable energy projects in the Global South. Energy Res. Soc. Sci. 2017, 31, 263–272. [Google Scholar] [CrossRef]
  112. He, S.; Blasch, J.; van Beukering, P.; Wang, J. Energy labels and heuristic decision-making: The role of cognition and energy literacy. Energy Econ. 2022, 114, 106279. [Google Scholar] [CrossRef]
  113. Broek, K.L.v.D.; Walker, I. Heuristics in energy judgement tasks. J. Environ. Psychol. 2019, 62, 95–104. [Google Scholar] [CrossRef]
  114. Kantenbacher, J.; Attari, S.Z. Better rules for judging joules: Exploring how experts make decisions about household energy use. Energy Res. Soc. Sci. 2021, 73, 101911. [Google Scholar] [CrossRef]
  115. Mogles, N.; Padget, J.; Gabe-Thomas, E.; Walker, I.; Lee, J. A computational model for designing energy behaviour change interventions. User Model. User-Adapted Interact. 2017, 28, 1–34. [Google Scholar] [CrossRef] [PubMed]
  116. Satre-Meloy, A. Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models. Energy 2019, 174, 148–168. [Google Scholar] [CrossRef]
  117. Motz, A. Consumer acceptance of the energy transition in Switzerland: The role of attitudes explained through a hybrid discrete choice model. Energy Policy 2021, 151, 112152. [Google Scholar] [CrossRef]
  118. Reis, I.F.; Gonçalves, I.; Lopes, M.A.; Antunes, C.H. Towards inclusive community-based energy markets: A multiagent framework. Appl. Energy 2022, 307, 118115. [Google Scholar] [CrossRef]
  119. Chen, S.-J.; Chou, Y.-C.; Yen, H.-Y.; Chao, Y.-L. Investigating and structural modeling energy literacy of high school students in Taiwan. Energy Effic. 2015, 8, 791–808. [Google Scholar] [CrossRef]
  120. Lin, K.-Y.; Lu, S.-C. Effects of project-based activities in developing high school students’ energy literacy. J. Balt. Sci. Educ. 2018, 17, 867–877. [Google Scholar] [CrossRef]
  121. Martins, A.; Madaleno, M.; Dias, M.F. Energy Literacy: Does education field matter? In Proceedings of the TEEM’19: Technological Ecosystems for Enhancing Multiculturality, Salamanca, Spain, 19–21 October 2019; pp. 494–499. [Google Scholar] [CrossRef]
  122. Barido, D.P.d.L.; Suffian, S.; Kammen, D.M.; Callaway, D. Opportunities for behavioral energy efficiency and flexible demand in data-limited low-carbon resource constrained environments. Appl. Energy 2018, 228, 512–523. [Google Scholar] [CrossRef]
  123. Lusinga, S.; de Groot, J. Energy consumption behaviours of children in low-income communities: A case study of Khayelitsha, South Africa. Energy Res. Soc. Sci. 2019, 54, 199–210. [Google Scholar] [CrossRef]
  124. Numminen, S.; Ruggiero, S.; Jalas, M. Locked in flat tariffs? An analysis of electricity retailers’ dynamic price offerings and attitudes to consumer engagement in demand response. Appl. Energy 2022, 326, 120002. [Google Scholar] [CrossRef]
  125. Martins, A.; Madaleno, M.; Dias, M.F. Are the energy literacy, financial knowledge, and education level faces of the same coin? Energy Rep. 2022, 8, 172–178. [Google Scholar] [CrossRef]
  126. Castañeda-Garza, G.; Valerio-Ureña, G. Energy literacy in elementary school textbooks in Mexico. Environ. Educ. Res. 2022, 29, 410–422. [Google Scholar] [CrossRef]
  127. Bogovic, K.; Jarkovic, T.; Kavcic, M.L.; Kosinac, G. The Young in the World of Energy—A Communication Project to Promote and Educate on Energy-related Topics Among the Younger Generations. In Proceedings of the 22nd International Conference Nuclear Energy for New Europe, (NENE 2013), Bled, Slovenia, 9–12 September 2013; Available online: https://arhiv.djs.si/proc/nene2013/pdf/NENE2013_1311.pdf (accessed on 1 July 2023).
  128. Balouktsis, I.; Kekkeris, G. Energy education in Greece: Learning about renewable electrical energy perspectives. In Proceedings of the 2013 24th EAEEIE Annual Conference (EAEEIE 2013), Chania, Greece, 30–31 May 2013; pp. 128–132. [Google Scholar] [CrossRef]
  129. Mažeikienė, N.; Norkutė, O. Toward a new energy paradigm in geography: Revisiting the curriculum and teaching practices. J. Educ. Cult. Soc. 2021, 12, 131–150. [Google Scholar] [CrossRef]
  130. Cotton, D.; Miller, W.; Winter, J.; Bailey, I.; Sterling, S. Knowledge, agency and collective action as barriers to energy-saving behaviour. Local Environ. 2015, 21, 883–897. [Google Scholar] [CrossRef]
  131. van der Horst, D.; Staddon, S. Types of learning identified in reflective energy diaries of post-graduate students. Energy Effic. 2017, 11, 1783–1795. [Google Scholar] [CrossRef]
  132. Salvia, A.L.; Brandli, L.L.; Filho, W.L.; Rebelatto, B.G.; Reginatto, G. Energy sustainability in teaching and outreach initiatives and the contribution to the 2030 Agenda. Int. J. Sustain. High. Educ. 2020, 21, 1607–1624. [Google Scholar] [CrossRef]
  133. Pestana, C.; Barros, L.; Scuri, S.; Barreto, M. Can HCI Help Increase People’s Engagement in Sustainable Development? A Case Study on Energy Literacy. Sustainability 2021, 13, 7543. [Google Scholar] [CrossRef]
  134. Kavčič, M.L.; Drevenšek, M. Improving Nuclear Energy Literacy through e-Communication: The eWorld Web Project. In Proceedings of the 23RD International Conference Nuclear Energy for New Europe, (NENE 2014), Portorož, Slovenia, 8–11 September 2014; Available online: https://arhiv.djs.si/proc/nene2014/pdf/NENE2014_204.pdf (accessed on 1 June 2023).
  135. Lowan-Trudeau, G.; Fowler, T.A. Towards a theory of critical energy literacy: The Youth Strike for Climate, renewable energy and beyond–CORRIGENDUM. Aust. J. Environ. Educ. 2021, 38, 58–68. [Google Scholar] [CrossRef]
  136. Gladwin, D.; Ellis, N. Energy literacy: Towards a conceptual framework for energy transition. Environ. Educ. Res. 2023, 1–15. [Google Scholar] [CrossRef]
  137. Aguirre-Bielschowsky, I.; Lawson, R.; Stephenson, J.; Todd, S. Kids and Kilowatts: Socialisation, energy efficiency, and electricity consumption in New Zealand. Energy Res. Soc. Sci. 2018, 44, 178–186. [Google Scholar] [CrossRef]
  138. Adams, J.; Kenner, A.; Leone, B.; Rosenthal, A.; Sarao, M.; Boi-Doku, T. What is energy literacy? Responding to vulnerability in Philadelphia’s energy ecologies. Energy Res. Soc. Sci. 2022, 91, 102718. [Google Scholar] [CrossRef]
  139. Plets, G.; Kuijt, M. Gas, Oil and Heritage: Well-oiled Histories and Corporate Sponsorship in Dutch Museums (1990–2021). BMGN—Low Ctries. Hist. Rev. 2022, 137, 50–77. [Google Scholar] [CrossRef]
  140. Holasova, A. Energy Literacy in the Czech Republic. Energy Ecol. Econ. 2018. Available online: https://www.webofscience.com/wos/woscc/full-record/WOS:000485101200016 (accessed on 1 September 2023).
  141. Blasch, J.; Filippini, M.; Kumar, N. Boundedly rational consumers, energy and investment literacy, and the display of information on household appliances. Resour. Energy Econ. 2019, 56, 39–58. [Google Scholar] [CrossRef]
  142. Gladwin, D.; Karsgaard, C.; Shultz, L. Collaborative learning on energy justice: International youth perspectives on energy literacy and climate justice. J. Environ. Educ. 2022, 53, 251–260. [Google Scholar] [CrossRef]
  143. Meira, D.; Guerra-Mota, M.; Cunha, R. Energy communities in cooperative form as an ideal scenario in the fight against energy poverty. In Proceedings of the ICEE International Conference on Energy & Environment, Porto, Portugal, 2–3 June 2022. [Google Scholar]
  144. IRENA, World Energy Transitions Outlook 2023: 1.5 °C Pathway, Volume 1, International Renewable Energy Agency, Abu Dhabi. 2023. Available online: http://www.irena.org/Publications (accessed on 1 September 2023).
  145. O’Neill-Carrillo, E.; Mercado, E.; Luhring, O.; Jordan, I. Local socio-economic development through community-based distributed energy resources. In Proceedings of the 2018 IEEE International Symposium on Technology and Society (ISTAS), Washington, DC, USA, 13–14 November 2018; pp. 8–13. [Google Scholar]
Figure 1. The energy trilemma.
Figure 1. The energy trilemma.
Energies 16 07235 g001
Table 1. Categories and main research objective of the analyzed articles. Information until February 2023.
Table 1. Categories and main research objective of the analyzed articles. Information until February 2023.
CategoryMain Research ObjectiveNumber of Documents
ReviewsReview2
MeasurementAdaptation of measures1
Comparison2
Construction of measures6
Assessment35
Measures evaluation2
Improvement toolsEvaluation of improvement tools17
Improvement tools13
InfluenceModel construction6
Direct influence15
Other lines of researchEducation8
Factors6
Conceptual research10
No direct relationshipNo energy literacy8
EmptyEmpty7
Table 2. Documents with the main objective of evaluating energy literacy. Data until February 2023.
Table 2. Documents with the main objective of evaluating energy literacy. Data until February 2023.
RegionPopulationReference
New York StateMiddle and high school studentsDeWaters and Powers, 2008 [37]
New York StateMiddle and high school studentsDeWaters and Powers, 2011 [38]
New York StateSecondary studentsDeWaters and Powers, 2011 [39]
State of PennsylvaniaUrban 8th grade studentsBodzin, 2012 [40]
NetherlandsPrivate homesBrounen et al., 2013 [41]
New ZealandChildren (9–10 years)Aguirre-Bielschowsky et al., 2015 [42]
TaiwanVocational high school studentsLee et al., 2015 [33]
TaiwanSecondary studentsLee et al., 2015 [34]
United KingdomUniversity studentsCotton et al., 2015 [43]
DenmarkGeneral populationSovacool and Blyth, 2015 [44]
DenmarkGeneral populationSovacool, 2016 [45]
GreeceHigh school studentsKeramitsoglou, 2016 [46]
TaiwanFirst year high school studentsYeh et al., 2017 [47]
IndonesiaFuture physics teachersYusup et al., 2017 [48]
IndonesiaFuture physics teachersYusup, et al., 2018 [49]
PortugalUniversity communityMartins et al., 2019 [50]
TaiwanNursing studentsLee et al., 2019 [35]
State of VirginiaNet-Zero building residentsPaige et al., 2019 [51]
PolandGeneral populationGołębiowska, 2020 [52]
PortugalUniversity communityMartins et al., 2020 [53]
ChinaPeasant tourist housesZhang and Zhang, 2020 [54]
Bilbao, SpainUniversity communityLasuen et al., 2020 [55]
TaiwanAdult populationHsu, 2020 [56]
NepalUrban homesFilippini et al., 2020 [57]
IndonesiaStudents and teachers of different levelsLaliyo, 2020 [58]
PolandRural communityChodkowska-Miszczuk et al., 2021 [59]
Mashhad, IranGeneral populationSayarkhalaj and Khesal, 2022 [60]
PolandUniversity studentsBiałynicki-Birula et al., 2022 [61]
VietnamHigh school students (12th grade)Lee et al., 2022 [36]
South AfricaGeneral populationForce and Longe, 2022 [62]
Brazil and BelgiumUniversity studentsFranco et al., 2022 [63]
State of CaliforniaEnergy usersZanocco et al., 2022 [64]
New York StateGeneral populationGervich, 2022 [65]
ChinaEthnic residentsWu et al., 2022 [66]
Arizona StateFuture primary school teachersMerritt et al., 2023 [67]
Table 3. Energy literacy assessment tools, target population, type of assessment, and reference. Data until February 2023.
Table 3. Energy literacy assessment tools, target population, type of assessment, and reference. Data until February 2023.
ToolPopulationEvaluation SummaryReference
Formal educationHigh school studentsComprehensive evaluation of the impacts that an energy module had on knowledge, attitudes, behaviors, and self-efficacy.DeWaters and Powers (2006) [83]
Formal education8th grade high school studentsEvaluation of the effects of two programs, one with a focus on geospatial technologies and the other Business as Usual.Bodzin et al. (2013) [84]
Serious gamesSerious game usersDefinition of evaluation criteria of the impacts of serious games.Wood et al. (2014) [85]
Formal educationSecondary studentsEvaluation of the hypothesis that project-based energy learning does not improve energy-related knowledge, attitudes, behavior, and beliefs.Karpudewan et al. (2015) [86]
Presentation of informationGeneral populationAnalysis of the interpretation of the electricity bill according to different ways of displaying the information.Canfield et al. (2016) [87]
Digital serious gamesUniversity studentsAnalysis of locus of control effects on behavioral intention and performance in game-based energy learning.Yang et al. (2017) [88]
Presentation of informationGeneral populationAnalysis of how people understand energy information and interpret feedback through different ways of viewing data on smart meters.Herrmann et al. (2017) [89]
Presentation of informationUniversity databaseEvaluating the impact of different forms of data visualization on learning about household energy consumption.Herrmann et al. (2017) [90]
Interactive activitiesEngineering studentsEvaluation of the effects of an interactive learning tool immediately, one week and six months after using it.Hedin and Zapico (2018) [91]
Smart metersPopulation with energy consumption monitorsEvaluation of the effects of home energy monitors after 10 years.Snow et al. (2019) [92]
Augmented realityGeneral populationEvaluation of four augmented reality methods for representing energy consumption in air conditioners.García-Manzano et al. (2019) [93]
Informal educationGeneral populationEvaluating the effects of two versions of a one-hour museum visit: collaborative or competitive.Applebaum et al. (2021) [94]
Formal educationFourth grade primary school studentsAnalysis of the effectiveness of a service-based learning program.Rimm-Kaufman et al. (2021) [95]
Informal educationUniversity studentsEvaluation of the impact of an energy awareness campaign.Ntouros et al. (2021) [96]
Web pagesGeneral populationSelf-assessment of improvement in knowledge after interacting with two web pages: one animated and one static.Henni et al. (2022) [97]
Formal educationMiddle and high school studentsEvaluation of the effects of a workshop in the short (few days) and long term (one year) after having participated.Keller et al. (2022) [98]
Informal educationBuilding occupantsAnalysis of the impact of different educational interventions on energy.Ramallo-González et al. (2022) [99]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Santillán, O.S.; Cedano, K.G. Energy Literacy: A Systematic Review of the Scientific Literature. Energies 2023, 16, 7235. https://doi.org/10.3390/en16217235

AMA Style

Santillán OS, Cedano KG. Energy Literacy: A Systematic Review of the Scientific Literature. Energies. 2023; 16(21):7235. https://doi.org/10.3390/en16217235

Chicago/Turabian Style

Santillán, Oscar S., and Karla G. Cedano. 2023. "Energy Literacy: A Systematic Review of the Scientific Literature" Energies 16, no. 21: 7235. https://doi.org/10.3390/en16217235

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop