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Challenges, Trends and Forecasting of Sustainable and Renewable Energy Systems

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

Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 13160
The paper submitted to the Special Issue will be processed and published immediately if it's accepted after peer-review.
Please contact the guest editor or the journal editor (clay.quan@mdpi.com) for any queries.

Special Issue Editors


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Guest Editor
Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116024, China
Interests: distributed energy system; energy model; smart grid; renewable energy development strategy
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Economics and Management, Xidian University, Xi’an 710126, China
Interests: energy and environmental engineering; renewable energy policy; environmental management and economic policy
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Economics and Management, China University of Mining and Technology, Xuzhou 221008, China
Interests: renewable energy policy; energy and environmental engineering; energy big data management and application; strategy of sustainable development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Guest Editors are inviting submissions to a Special Issue of Energies entitled “Challenges, Trends and Forecasting of Sustainable and Renewable Energy Systems”. There are two main aspects to the environmental impact of pollutants produced by fossil fuels. One is global climate change. The carbon in fuel is converted into carbon dioxide into the atmosphere, causing the concentration of carbon dioxide in the atmosphere rise, which leads to intensification of the greenhouse effect, changes in the global climate, and ecological balance imbalance. Second is thermal pollution. The “waste heat” left over from the generation of coal-fired power stations is discharged into rivers, lakes, and the atmosphere or ocean, causing thermal pollution in most cases. To effectively resolve ecological and environmental problems, reduce carbon dioxide emissions, and gradually replace coal and other fossil resources, the development of renewable energy is the fundamental way and the only choice. The purpose of this Special Issue is to provide a platform for the exchange and publication of renewable energy and sustainable development related research and exchange toward exploring how to realize the sustainable development of renewable energy systems in themselves, and how to use renewable energy to help realize the sustainable development of human society and the economy.

Prof. Dr. Hailin Mu
Prof. Dr. Yan Song
Prof. Dr. Ming Zhang
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

  • renewable energy systems
  • distributed energy resource
  • renewable energy policy
  • sustainable development strategies
  • big data on energy
  • smart grid
  • waste battery recycling
  • recycling of renewable energy power generation equipment
  • development trend of new energy industry
  • environmental policy evaluation
  • energy model
  • carbon neutrality
  • energy system resilience

Published Papers (7 papers)

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Research

23 pages, 4642 KiB  
Article
Assessment of the Impact of Technological Development and Scenario Forecasting of the Sustainable Development of the Fuel and Energy Complex
by Yuriy Zhukovskiy, Anastasia Koshenkova, Valeriya Vorobeva, Daniil Rasputin and Roman Pozdnyakov
Energies 2023, 16(7), 3185; https://doi.org/10.3390/en16073185 - 31 Mar 2023
Cited by 5 | Viewed by 1591
Abstract
The beginning of the 21st century for the fuel and energy complexes of most countries is characterized as a period of active restructuring and a fundamental shift in developmental priorities. The basis of these changes is technological development. Industry 4.0 technologies have particular [...] Read more.
The beginning of the 21st century for the fuel and energy complexes of most countries is characterized as a period of active restructuring and a fundamental shift in developmental priorities. The basis of these changes is technological development. Industry 4.0 technologies have particular importance in achieving maximum optimization of production processes. In the same way, they are applicable in establishing effective interaction between the energy sector and other sectors of the economy. The authors outline an approach to assessing the country’s fuel and energy balance state through the selected properties: sustainability, accessibility, efficiency, adaptability and reliability. Hence, a model of the fuel and energy complex was created on the example of the Russian Federation, considering the country’s territorial and functional division. The methodology is based on scenario modeling of the influence level of external challenges in conjunction with the accompanying technological development. The mathematical model allowed forecasting changes in the properties of the energy system. The scientific significance of the work lies in the application of a consistent hybrid modeling approach to forecast the state of the fuel and energy balance. The results of the study are useful in compiling scenarios for the regional and entire development of the fuel and energy complex. Further model improvements should include an expansion of the number of counted industries and their relations. Full article
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20 pages, 6111 KiB  
Article
Can Industry Keep Gas Distribution Networks Alive? Future Development of the Gas Network in a Decarbonized World: A German Case Study
by Stella Oberle, Marius Neuwirth, Till Gnann and Martin Wietschel
Energies 2022, 15(24), 9596; https://doi.org/10.3390/en15249596 - 17 Dec 2022
Cited by 1 | Viewed by 1488
Abstract
With the growing need for decarbonization, the future gas demand will decrease and the necessity of a gas distribution network is at stake. A remaining industrial gas demand on the distribution network level could lead to industry becoming the main gas consumer supplied [...] Read more.
With the growing need for decarbonization, the future gas demand will decrease and the necessity of a gas distribution network is at stake. A remaining industrial gas demand on the distribution network level could lead to industry becoming the main gas consumer supplied by the gas distribution network, leading to the question: can industry keep the gas distribution network alive? To answer this research question, a three-stage analysis was conducted, starting from a rough estimate of average gas demand per production site and then increasing the level of detail. This paper shows that about one third of the German industry sites investigated are currently supplied by the gas distribution network. While the steel industry offers new opportunities, the food and tobacco industry alone cannot sustain the gas distribution network by itself. Full article
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22 pages, 3458 KiB  
Article
The Policy Choice and Economic Assessment of High Emissions Industries to Achieve the Carbon Peak Target under Energy Shortage—A Case Study of Guangdong Province
by Songyan Ren, Peng Wang, Zewei Lin and Daiqing Zhao
Energies 2022, 15(18), 6750; https://doi.org/10.3390/en15186750 - 15 Sep 2022
Cited by 9 | Viewed by 1656
Abstract
In recent years, due to the rise in energy prices and the impact of COVID-19, energy shortages have led to unsafe power supply environments. High emissions industries which account for more than 58% of the carbon emissions of Guangdong Province have played an [...] Read more.
In recent years, due to the rise in energy prices and the impact of COVID-19, energy shortages have led to unsafe power supply environments. High emissions industries which account for more than 58% of the carbon emissions of Guangdong Province have played an important role in achieving the carbon peak goal, alleviating social energy shortage and promoting economic growth. Controlling high emissions industries will help to adjust the industrial structure and increase renewable energy investment. Therefore, it is necessary to comprehensively evaluate the policies of energy security and the investments of high emission industries. This paper builds the ICEEH-GD (comprehensive assessment model of climate, economy, environment and health of Guangdong Province) model, designs the Energy Security scenario (ES), the Restrict High Carbon Emission Sector scenario (RHS) and the Comprehensive Policy scenario (CP), and studies the impact of limiting high emissions industries and renewable energy policies on the transformation of investment structure, macro-economy and society. The results show that under the Energy Security scenario (ES), carbon emissions will peak in 2029, with a peak of 681 million tons. Under the condition of ensuring energy security, the installed capacity of coal-fired power generation will remain unchanged from 2025 to 2035. Under the Restrict High Carbon Emission Sector scenario (RHS), the GDP will increase by 8 billion yuan compared with the ES scenario by 2035. At the same time, it can promote the whole society to increase 10,500 employment opportunities, and more investment will flow to the low emissions industries. In the Comprehensive Policy scenario (CP), although the GDP loss will reach 33 billion yuan by 2035 compared with the Energy Security scenario (ES), the transportation and service industries will participate in carbon trading by optimizing the distribution of carbon restrictions in the whole society, which will reduce the carbon cost of the whole society by more than 48%, and promote the employment growth of 104,000 people through industrial structure optimization. Therefore, the power sector should increase investment in renewable energy to ensure energy security, limit the new production capacity of high emissions industries such as cement, steel and ceramics, and increase the green transition and efficiency improvement of existing high emissions industries. Full article
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23 pages, 6473 KiB  
Article
Machine Learning-Based Load Forecasting for Nanogrid Peak Load Cost Reduction
by Akash Kumar, Bing Yan and Ace Bilton
Energies 2022, 15(18), 6721; https://doi.org/10.3390/en15186721 - 14 Sep 2022
Cited by 4 | Viewed by 2319
Abstract
Increased focus on sustainability and energy decentralization has positively impacted the adoption of nanogrids. With the tremendous growth, load forecasting has become crucial for their daily operation. Since the loads of nanogrids have large variations with sudden usage of large household electrical appliances, [...] Read more.
Increased focus on sustainability and energy decentralization has positively impacted the adoption of nanogrids. With the tremendous growth, load forecasting has become crucial for their daily operation. Since the loads of nanogrids have large variations with sudden usage of large household electrical appliances, existing forecasting models, majorly focused on lower volatile loads, may not work well. Moreover, abrupt operation of electrical appliances in a nanogrid, even for shorter durations, especially in “Peak Hours”, raises the energy cost substantially. In this paper, an ANN model with dynamic feature selection is developed to predict the hour-ahead load of nanogrids based on meteorological data and a load lag of 1 h (t-1). In addition, by thresholding the predicted load against the average load of previous hours, peak loads, and their time indices are accurately identified. Numerical testing results show that the developed model can predict loads of nanogrids with the Mean Square Error (MSE) of 0.03 KW, the Mean Absolute Percentage Error (MAPE) of 9%, and the coefficient of variation (CV) of 11.9% and results in an average of 20% daily energy cost savings by shifting peak load to off-peak hours. Full article
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31 pages, 13024 KiB  
Article
Research on the Impact of Output Adjustment Strategy and Carbon Tax Policy on the Stability of the Steel Market
by Di Li, Qianbin Di, Hao Zhang, Daquan Zhang, Zenglin Han and Ye Duan
Energies 2022, 15(18), 6678; https://doi.org/10.3390/en15186678 - 13 Sep 2022
Viewed by 1164
Abstract
China’s steel industry has not yet implemented a carbon tax policy, and its benefits and impacts are still in the theoretical research stage. In addition, enterprises have an insufficient ability to respond to changes in production and sales, which seriously affects the market’s [...] Read more.
China’s steel industry has not yet implemented a carbon tax policy, and its benefits and impacts are still in the theoretical research stage. In addition, enterprises have an insufficient ability to respond to changes in production and sales, which seriously affects the market’s stability. The government should simultaneously start from multiple perspectives, such as energy conservation, emission reduction, dynamic adjustments, and business decisions. Therefore, this research constructs a repeated dynamic game model including carbon tax policy and other mixed reduction policies, and studies the stability and related indicators of the market. The results are as follows: (1) the output adjustment policies that enterprises can implement will show an increasing trend under the single carbon tax policy. (2) The output adjustment policies that enterprises with larger output will also show an increasing trend under the mixed emission reduction policy when emission reduction targets continue to increase. (3) Smaller-output enterprises need to be more cautious in formulating their production plans, and their output adjustment policies will be restricted and affected by more factors. In summary, enterprises should comprehensively consider emission reduction policies, output adjustment policies and other enterprises’ output changes, to ensure that the steel market will not fall into an imbalanced state. Full article
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22 pages, 1350 KiB  
Article
Optimal Strategy for Low-Carbon Development of Power Industry in Northeast China Considering the ‘Dual Carbon’ Goal
by Hailin Mu, Zhewen Pei, Hongye Wang, Nan Li and Ye Duan
Energies 2022, 15(17), 6455; https://doi.org/10.3390/en15176455 - 4 Sep 2022
Cited by 2 | Viewed by 1625
Abstract
With China’s carbon peak and target proposed and the power system as an important source of carbon emissions, its carbon reduction issues are of great concern. However, the mismatch between power demand, resources, and generation facilities in different regions of China creates enormous [...] Read more.
With China’s carbon peak and target proposed and the power system as an important source of carbon emissions, its carbon reduction issues are of great concern. However, the mismatch between power demand, resources, and generation facilities in different regions of China creates enormous carbon reduction pressures, especially in the region covered by China’s Northeast Power Grid (NE Grid). Therefore, in this study, a two-stage power optimization model considering Carbon Capture, Utilization, and Storage (CCUS) was established to optimize the national power generation and transmission in China from 2020 to 2060 first and then to optimize the regional road map of energy structure adjustment for China’s NE grid and its CO2 storage strategy. The first stage optimization results show that the national power interaction in China can make full use of the energy resource advantages of the NE grid, especially Jilin and Mengdong, delivering clean electricity to the North China grid as it reaches its “dual carbon” goal. Additionally, the second-stage optimization results show that the NE grid can make good use of CCUS for its thermal power transition. Annual CO2 storage will peak at 204 Mt in 2050 as thermal power withdraws in the NE grid region, which provides a reference for other regions to realize carbon neutrality of their power system by using CCUS. Full article
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31 pages, 763 KiB  
Article
Analyzing Trade in Continuous Intra-Day Electricity Market: An Agent-Based Modeling Approach
by Priyanka Shinde, Ioannis Boukas, David Radu, Miguel Manuel de Villena and Mikael Amelin
Energies 2021, 14(13), 3860; https://doi.org/10.3390/en14133860 - 27 Jun 2021
Cited by 9 | Viewed by 2473
Abstract
In recent years, the vast penetration of renewable energy sources has introduced a large degree of uncertainty into the power system, thus leading to increased trading activity in the continuous intra-day electricity market. In this paper, we propose an agent-based modeling framework to [...] Read more.
In recent years, the vast penetration of renewable energy sources has introduced a large degree of uncertainty into the power system, thus leading to increased trading activity in the continuous intra-day electricity market. In this paper, we propose an agent-based modeling framework to analyze the behavior and the interactions between renewable energy sources, consumers and thermal power plants in the European Continuous Intra-day (CID) market. Additionally, we propose a novel adaptive trading strategy that can be used by the agents that participate in CID market. The agents learn how to adapt their behavior according to the arrival of new information and how to react to changing market conditions by updating their willingness to trade. A comparative analysis was performed to study the behavior of agents when they adopt the proposed strategy as opposed to other benchmark strategies. The effects of unexpected outages and information asymmetry on the market evolution and the market liquidity were also investigated. Full article
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