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Energies
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Energy Planning from the Perspective of Sustainability
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Energy Planning from the Perspective of Sustainability

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 2770

Special Issue Editors

Dr. Michail Tsangas

E-Mail Website
Guest Editor
Laboratory of Chemical Engineering and Engineering Sustainability, Faculty of Pure and Applied Sciences, Open University of Cyprus, Giannou Kranidioti 89, Latsia, Nicosia 2231, Cyprus
Interests: energy planning and management; energy strategic planning; environmental impact assessment; sustainability evaluation; sustainability and ESG (environmental, social and governance) monitoring, reporting and evaluation; sustainability and environmental performance evaluation methods
Dr. Antonis A. Zorpas

E-Mail Website
Guest Editor
Laboratory of Chemical Engineering and Engineering Sustainability, Faculty of Pure and Applied Sciences, Open University of Cyprus, Giannou Kranidioti 89, Latsia, Nicosia 2231, Cyprus
Interests: strategic planning development; circular economy; zero-waste approach; waste prevention; circular and bio-economy and industrial symbiosis; management and treatment of solid waste; end of waste criteria; hazardous waste; environmental impact and environmental risk assessment analysis; life cycle assessment; sustainable development goals
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Energy is necessary for the development of society and the economy. Every state, organization or community has to ensure the needed resources at the right place and in time in order to be able to satisfy the requirements. However, there are several social, economic and environmental issues connected to the availability, production and supply of sustainable energy. The impact of energy cost on the economy, the social opposition to infrastructure construction, energy affordability, and global warming and its environmental impacts are timeless issues, while in special circumstances, such as in cases of conflicts, wars or other crises, special complications occur. Moreover, energy is a key element of the Sustainable Development Goals (SDGs) and the related policies. Therefore, in order to ensure that energy will be available when it is needed while having fewer negative impacts, and to achieve the targets for sustainable development, energy strategic planning, policies and legislation that take into consideration all these issues are necessary.

This Special Issue aims to elaborate, present and communicate the most recent advances, new perspectives and future trends of energy planning within the framework of sustainable development and energy sustainability.

Topics of interest for publication include, but are not limited to:

  • Novel methods and tools for sustainable energy planning and energy strategic planning;
  • Novel methods, tools and indicators for evaluation of energy sustainability;
  • Energy planning in the framework of the SDGs: requirements, monitoring and measurements;
  • Energy planning and energy strategic planning in crisis circumstances;
  • Novel approaches and tools for energy planning impact assessments including carbon footprint calculations and mitigations methods;
  • Methods and tools to forecast energy needs and planning to satisfy them;
  • Emerging issues around energy availability and sustainability;
  • Energy strategies, energy policies, energy planning and energy sustainability in connection with a circular economy;
  • Evaluation of energy planning strategies, policies and legislation;
  • Energy strategies and policies in connection with a new green deal;
  • Projections for use of energy sources and an energy mix.

Dr. Michail Tsangas
Dr. Antonis A. Zorpas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • energy planning
  • energy strategy
  • energy policies
  • sustainable energy
  • energy strategic planning
  • energy planning methods
  • energy planning evaluation methods
  • SDGs
  • energy crises
  • energy impact assessment

Published Papers (3 papers)

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Research

27 pages, 4029 KiB  
Article
Evaluating the Barriers to Blockchain Adoption in the Energy Sector: A Multicriteria Approach Using the Analytical Hierarchy Process for Group Decision Making
by Ioanna Andreoulaki, Aikaterini Papapostolou and Vangelis Marinakis
Energies 2024, 17(6), 1278; https://doi.org/10.3390/en17061278 - 07 Mar 2024
Viewed by 755
Abstract
The blockchain has been proposed for use in various applications in the energy field. Although the blockchain has technical strengths, several obstacles affect the application of the technology in energy services. The scope of this study is to highlight and prioritise the most [...] Read more.
The blockchain has been proposed for use in various applications in the energy field. Although the blockchain has technical strengths, several obstacles affect the application of the technology in energy services. The scope of this study is to highlight and prioritise the most important barriers to such applications. The first step in this direction is specifying the potential areas of the implementation of blockchain technology in the energy sector. Two useful tools for market analysis were used: Political, Economic, Social, Technological, Legal and Environmental, PESTLE Analysis, and Strengths, Weaknesses, Opportunities and Threats, SWOT Analysis, which examine external and internal factors, respectively. Thus, a list of the most important elements hindering the incorporation of the blockchain in the energy sector was extracted. The detected barriers were classified and ranked by energy and IT experts using the multicriteria method, “Analytical Hierarchy Process for Group Decision Making”. The results reveal that legal barriers relating to the complexities of deficiencies of regulations are the most significant, while technological barriers, especially those related to security issues, are also important. Sociopolitical barriers related mainly to lack of trust in blockchain, as well as economic concerns such as high upfront costs, are less influential but should still be considered. The conclusions of the conducted research have the potential to guide market actors in their endeavours to modernise energy systems through the use of the blockchain, assisting them in designing the most appropriate market strategies. Full article
(This article belongs to the Special Issue Energy Planning from the Perspective of Sustainability)
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21 pages, 388 KiB  
Article
Revolutionizing Environmental Sustainability: The Role of Renewable Energy Consumption and Environmental Technologies in OECD Countries
by Xi Liu, Yugang He and Renhong Wu
Energies 2024, 17(2), 455; https://doi.org/10.3390/en17020455 - 17 Jan 2024
Viewed by 913
Abstract
This study examines the relationship between economic factors and environmental sustainability in OECD (Organisation for Economic Co-operation and Development) countries from 1990 to 2022, with a particular focus on the impact of renewable energy consumption and environmental technologies on CO2 emissions. The [...] Read more.
This study examines the relationship between economic factors and environmental sustainability in OECD (Organisation for Economic Co-operation and Development) countries from 1990 to 2022, with a particular focus on the impact of renewable energy consumption and environmental technologies on CO2 emissions. The research utilizes empirical data to establish a clear negative correlation between the adoption of renewable energy sources and the level of CO2 emissions, highlighting the effectiveness of renewable energy in reducing the environmental impact of economic activities. This finding supports the theoretical perspective that transitioning to cleaner energy sources is vital for achieving environmental sustainability and aligns with the objectives of the OECD’s environmental sustainability program. Further analysis reveals a significant negative impact of environmental technologies on CO2 emissions, underscoring the importance of technological innovation in environmental conservation efforts. The study also explores the dual influence of GDP growth, urbanization, industrialization, and trade on CO2 emissions, revealing both positive and negative effects across different stages of economic development. Initially, these factors contribute to increased emissions, but as economies mature and integrate more efficient and cleaner technologies, their impact on emissions becomes negative. These findings demonstrate the complex interplay between economic development and environmental sustainability and emphasize the need for policies that encourage renewable energy adoption, support environmental technological innovations, and guide economies towards sustainable practices. The study provides valuable insights for policymakers and stakeholders, advocating for an integrated approach to ensure long-term environmental sustainability in OECD countries. Full article
(This article belongs to the Special Issue Energy Planning from the Perspective of Sustainability)
21 pages, 2612 KiB  
Article
PrOuD: Probabilistic Outlier Detection Solution for Time-Series Analysis of Real-World Photovoltaic Inverters
by Yujiang He, Zhixin Huang, Stephan Vogt and Bernhard Sick
Energies 2024, 17(1), 64; https://doi.org/10.3390/en17010064 - 21 Dec 2023
Viewed by 649
Abstract
Anomaly detection methods applied to time series are mostly viewed as black boxes that solely provide a deterministic answer for the detected target. Without a convincing explanation, domain experts can hardly trust the detection results and must conduct further time-series diagnoses in real-world [...] Read more.
Anomaly detection methods applied to time series are mostly viewed as black boxes that solely provide a deterministic answer for the detected target. Without a convincing explanation, domain experts can hardly trust the detection results and must conduct further time-series diagnoses in real-world applications. To overcome this challenge, we mathematically analyzed the sources of anomalies and novelties in multivariate time series as well as their relationships from the perspective of Gaussian-distributed non-stationary noise. Furthermore, we proposed mathematical methods to generate artificial time series and synthetic anomalies, with the goal of solving the problem of it being difficult to train and evaluate models for real-world applications due to the lack of sufficient data. In addition, we designed Probabilistic Outlier Detection (PrOuD), which is a general solution to provide interpretable detection results to assist domain experts with time-series analysis. PrOuD can convert the predictive uncertainty of a time-series value from a trained model into the estimated uncertainty of the detected outlier through Monte Carlo estimation. The experimental results obtained on both artificial time series and real-world photovoltaic inverter data demonstrated that the proposed solution can detect emerging anomalies accurately and quickly. The implemented PrOuD demo case shows its potential to make the detection results of existing detection methods more convincing so that domain experts can more efficiently complete their tasks, such as time-series diagnosis and anomalous pattern clustering. Full article
(This article belongs to the Special Issue Energy Planning from the Perspective of Sustainability)
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