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New Trends in Energy, Climate and Environmental Research

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

Deadline for manuscript submissions: closed (19 March 2025) | Viewed by 6604

Special Issue Editors


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Guest Editor
School of Environment and Society, Tokyo Institute of Technology, Tokyo 108-0023, Japan
Interests: energy economics; energy policy; technolgy development
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Environment and Society, Tokyo Institute of Technology, 3-3-6 Shibaura, Minato-ku, Tokyo 108-0023, Japan
Interests: energy system modeling; techno-economic analysis of energy system

Special Issue Information

Dear Colleagues,

Adopted in 2015, the Paris Agreement covers approaches to adapt and mitigate the risks and impacts of climate change in societies. Policymakers, corporate leaders, researchers, and people in society have recognized, more than ever, the common concerns of environmental protection and discussed the necessary measures for future sustainability. In response, many countries stipulated carbon neutrality by 2050 in law or announced in public that it should be achieved. To reduce greenhouse gas (GHG) emissions effectively, it is crucial to explore new technologies and deploy them in society. These include renewable energy technologies, such as solar, photovoltaic (PV), and wind power generation, storage, and hydrogen, which are promising measures for a sustainable society in the future. Meanwhile, large-scale deployment of renewable energy sources raises concerns about the coupling of their intermittent power with the current power grid systems. The digitalization of the power system is a promising approach to alleviate the stated concerns. The penetration of virtual power plants (VPPs), the Internet of Things (IoT), and vehicle-to-grid (V2G) technologies into the power system paves the way to delivering flexible electric power in the digital power system. In addition to these power generation technologies, a digital power system requires an intelligent control system, an optimization module, and load and weather forecasting modules to make this system as smart as possible.

This Special Issue aims to present the future picture of smart power systems and their management by relying on distributed energy resources (DERs) and information technologies.

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

  1. Power system digitalization.
  2. Virtual power plants.
  3. VPP and artificial intelligence (AI)/information technologies (ITs).
  4. Distributed energy resources.
  5. Electric vehicle (EV) installation and grid control.
  6. Vehicle to grid (V2G) technology and power distribution systems.
  7. Forecasting methods for renewable power generations.

Prof. Dr. Mika Goto
Dr. Reza Nadimi
Guest Editors

Manuscript Submission Information

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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

  • digital power system
  • virtual power plant
  • distributed energy resources
  • vehicle-to-grid
  • renewable energy forecasting methods

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Published Papers (5 papers)

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Research

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22 pages, 1934 KiB  
Article
Economic Analysis of Global CO2 Emissions and Energy Consumption Based on the World Kaya Identity
by Alina Yakymchuk, Simone Maxand and Anna Lewandowska
Energies 2025, 18(7), 1661; https://doi.org/10.3390/en18071661 - 26 Mar 2025
Cited by 1 | Viewed by 391
Abstract
This research seeks to elucidate the relationship between economic activities, energy consumption, and CO2 emissions, thereby contributing to a deeper understanding of the economic dimensions of climate change mitigation efforts within the European context, which may be useful for developing policies to [...] Read more.
This research seeks to elucidate the relationship between economic activities, energy consumption, and CO2 emissions, thereby contributing to a deeper understanding of the economic dimensions of climate change mitigation efforts within the European context, which may be useful for developing policies to mitigate CO2 emissions and promote sustainable development. This study investigates world CO2 emissions and their relation to population growth and finds a strong positive relation based on data from 1969 to 2023. The World Kaya Identity has been applied to understand how changes in the involved factors affect CO2 emissions over time. When studying the more complex relation between the variables by controlling for energy use, GDP, and carbon intensity based on the Kaya Identity, the authors identified an overall long-term coupling of all factors. Considering short-term variations, population growth appears to have an insignificant effect, and carbon intensity appears most influential on CO2 emissions. As a next step, we take a disaggregated view on different country settings, economic sectors, and energy sources to further analyze the role carbon intensity plays for increased CO2 emissions. Here, we lay a special focus on the European perspective. This descriptive analysis lets us draw some general conclusions regarding strategies for reducing the negative impact of CO2 emissions and political efforts for sustainability transformations. This study is important for the current state of science, since a clear economic assessment of the negative effects of carbon dioxide is necessary for planning measures and costs in the ecological sphere, the correct assessment of the impact on the health of the population, the prospective implementation of preventive measures at all levels, and financing measures to reduce the negative effects of carbon dioxide. The authors found a significant positive effect of GDPpc, energy intensity, and carbon intensity on impact and an insignificant effect on the population. Thus, an unexpected increase in the population likely does not have short-term effects on CO2 emissions, and the responses to GDPpc and energy intensity both decrease after some periods, while the shock in carbon intensity shows a significant effect even after 10 years. This is reasonable in the sense that both increases in GDP and energy intensity might be alleviated by technological progress and, thus, only show a short-term positive effect on CO2 emissions. The carbon intensity of energy consumption is more crucial for the long-term change of CO2 emissions. For this reason, we study the decomposition of energy use in more detail by considering descriptive statistics over time and over different sectors and countries. Full article
(This article belongs to the Special Issue New Trends in Energy, Climate and Environmental Research)
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24 pages, 1928 KiB  
Article
Assessing the Sustainability of Southeast Asia’s Energy Transition: A Comparative Analysis
by Faten Derouez and Adel Ifa
Energies 2025, 18(2), 287; https://doi.org/10.3390/en18020287 - 10 Jan 2025
Cited by 2 | Viewed by 805
Abstract
The rapid economic growth in Southeast Asia has heightened concerns about its environmental sustainability, particularly in relation to CO2 emissions. Despite the growing focus on climate change mitigation, the region faces significant challenges in balancing economic development, energy transitions, and environmental conservation. [...] Read more.
The rapid economic growth in Southeast Asia has heightened concerns about its environmental sustainability, particularly in relation to CO2 emissions. Despite the growing focus on climate change mitigation, the region faces significant challenges in balancing economic development, energy transitions, and environmental conservation. Existing studies often overlook the complex interplay between these factors, leaving a critical gap in understanding how tailored strategies can address country-specific dynamics. To bridge this gap, this study introduces the “Sustainable Energy-Environment Nexus” (SEEN) framework, which integrates economic growth, energy transitions, and environmental conservation as interconnected elements necessary for achieving carbon neutrality in both the short and long run. Using data from eight Southeast Asian countries (Indonesia, Malaysia, China, South Korea, Vietnam, Singapore, Thailand, and Japan) over the period 1990–2023, this study employs the Autoregressive Distributed Lag (ARDL) approach and the Vector Error Correction Model (VECM) technique to analyze the relationships between CO2 emissions, GDP, financial development, forest areas, renewable energy, non-renewable energy consumption, and trade openness. The findings reveal that GDP and non-renewable energy consumption significantly drive CO2 emissions in countries like Indonesia, Malaysia, Japan, and South Korea. Conversely, forest areas, financial development, renewable energy, and trade openness are effective in reducing emissions in countries such as Vietnam and China. This study highlights the critical role of renewable energy adoption while addressing challenges such as inadequate infrastructure and limited technology transfer. It also identifies opportunities for regional cooperation in innovation and policy harmonization. To support sustainable energy development, tailored policy recommendations include incentivizing investments in renewable energy, enhancing technology transfer, expanding forest conservation efforts, and aligning regional renewable energy targets across ASEAN. The SEEN framework provides a robust foundation for advancing research and policy design aimed at reducing CO2 emissions and promoting environmental sustainability across Southeast Asia. Full article
(This article belongs to the Special Issue New Trends in Energy, Climate and Environmental Research)
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18 pages, 291 KiB  
Article
Do Digital Adaptation, Energy Transition, Export Diversification, and Income Inequality Accelerate towards Load Capacity Factors across the Globe?
by Masahina Sarabdeen, Manal Elhaj and Hind Alofaysan
Energies 2024, 17(16), 3981; https://doi.org/10.3390/en17163981 - 11 Aug 2024
Cited by 3 | Viewed by 1656
Abstract
To limit global warming to 1.5 °C, it is imperative to accelerate the global energy transition. This transition is crucial for solving the climate issue and building a more sustainable future. Therefore, within the loaded capacity curve (LCC) theory framework, this study investigates [...] Read more.
To limit global warming to 1.5 °C, it is imperative to accelerate the global energy transition. This transition is crucial for solving the climate issue and building a more sustainable future. Therefore, within the loaded capacity curve (LCC) theory framework, this study investigates the effects of digital adaptation, energy transition, export diversification, and income inequality on the load capacity factor (LCF). This study also attempts to investigate the integration effects of digital adaptation and energy transition, and digital adaptation and export diversification, on LCF. Furthermore, we explored how income inequality influences the LCF in economies. For this study, 112 countries were selected based on the data availability. Panel data from 2010 to 2021 were analyzed using the STATA software 13 application utilizing a two-step system generalized method of moments (GMM) approach. First, interestingly, our finding shows that digital adaptation and income significantly affect the LCF. An increase in income increases the LCF among the middle-income group of countries. Therefore, LCC is confirmed in this research. Surprisingly, energy transition, export diversification, and foreign direct investment negatively impact the LCF in the base model. Second, the impact of integrating digital adaptation and energy transition has a positive effect on LCF. Third, a negative correlation was observed between the interaction of export diversification and digital adaptation with the LCF. Fourth, a positive correlation was observed between the interaction of renewable energy and digital adaptation with the LCF. Finally, this study explores the impact of the energy transition, export diversification, and income inequality on the LCF with reference to the Organization of Petroleum Exporting Countries (OPEC). The result shows a negative effect between export diversification and LCF among OPECs at a 10% significance level. To improve the quality of our planet, policymakers must understand the forces causing climate change. By adopting a comprehensive perspective, the study aims to understand how these interrelated factors collaboratively influence the LCF thoroughly. Additionally, this research seeks to provide valuable insights related to energy transition, digital adaptation, and export diversification to policymakers, researchers, and stakeholders regarding possible avenues for cultivating a more joyful and sustainable global community. Full article
(This article belongs to the Special Issue New Trends in Energy, Climate and Environmental Research)
21 pages, 2424 KiB  
Article
Integrated Efficiency of Japan’s 47 Prefectures Incorporating Sustainability Factors
by Ryo Ishida and Mika Goto
Energies 2024, 17(8), 1910; https://doi.org/10.3390/en17081910 - 17 Apr 2024
Cited by 2 | Viewed by 1286
Abstract
The purpose of this study is to examine a productive efficiency index that incorporates two new production factors of sustainability—an environmental variable as an undesirable output and a well-being indicator as a desirable output—for 12 years of data from 2007 to 2018 pertaining [...] Read more.
The purpose of this study is to examine a productive efficiency index that incorporates two new production factors of sustainability—an environmental variable as an undesirable output and a well-being indicator as a desirable output—for 12 years of data from 2007 to 2018 pertaining to 47 prefectures in Japan. This study proposes a combination of a new data envelopment analysis (DEA) intermediate approach with the DEA super-efficiency model to measure the integrated productive efficiency. The approach incorporates CO2 emissions and a well-being indicator into the conventional productivity index. A three-stage analysis is conducted by sequentially adding new factors, CO2 emissions, and a well-being indicator. We also conduct a club convergence analysis of the productive efficiency and observe how clubs are formed, what their characteristics are, and how the efficiency changes over time. Through these approaches, we examine the practicality of the new efficiency measure and discuss regional policy implications. We found that higher labor productivity and carbon productivity in major industries caused increased productive efficiency. Adding sustainability factors to the conventional production factors in efficiency measurement widened the efficiency gap among prefectures. Full article
(This article belongs to the Special Issue New Trends in Energy, Climate and Environmental Research)
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Review

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19 pages, 3450 KiB  
Review
Assessing Carbon Dioxide Emissions in Manufacturing Industries: A Systematic Review
by Ángel Francisco Galaviz Román and Golam Kabir
Energies 2024, 17(20), 5119; https://doi.org/10.3390/en17205119 - 15 Oct 2024
Viewed by 1483
Abstract
Emissions of pollutants and their consequences for the atmosphere have received special attention from international organizations in recent years due to the climate crisis predicted in the next decades. In this regard, the Carbon Dioxide (CO2) produced in industrial sectors is [...] Read more.
Emissions of pollutants and their consequences for the atmosphere have received special attention from international organizations in recent years due to the climate crisis predicted in the next decades. In this regard, the Carbon Dioxide (CO2) produced in industrial sectors is one of the most concerning compounds because of its impact on global warming and climate change. This study developed a systematic review of Carbon Dioxide Emissions from manufacturing industries considering one decade of research documents focused on addressing this problem. For this, different assessments such as the trend of published articles, top-cited studies, the network evaluation of journals, and keywords network evaluation were conducted. After a careful data-driven analysis, research trends were identified. Findings revealed the increased urgency of finding and assessing information regarding the climate crisis due to CO2 emissions as well as revealing which main sectors and research areas have been involved in its investigation. Furthermore, the most influential contributions and clusters of words obtained demonstrate interrelationships among research trends that are focused on finding new paths to generate more sustainable processes in every manufacturing industry. This study aims to generate valuable insights into the role played by manufacturing industries in the context of the environmental situation, revealing trends and key points among the scientific community. Full article
(This article belongs to the Special Issue New Trends in Energy, Climate and Environmental Research)
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