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Decision-Making Frameworks for Energy Justice: Balancing Social, Economic, and Environmental Objectives

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 31 May 2026 | Viewed by 1755

Special Issue Editors


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Guest Editor
Department of Industrial Engineering, Durban University of Technology, Durban, South Africa
Interests: renewable energy; sustainability; lifecycle analysis; micro-grid design and planning; energy efficiency

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Guest Editor
Department of Industrial Engineering, Durban University of Technology, Durban, South Africa
Interests: energy efficiency; renewable energy; optimization; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department Electrical Electronics Engineering, Federal University of Agriculture, Abeokuta, Nigeria
Interests: electrical power systems and machines engineering; renewable energy; microgrid design; optimal sizing and planning; energy efficiency

Special Issue Information

Dear Colleagues,

Energy lies at the heart of economic development, social progress, and environmental sustainability. As humanity faces the twin challenges of climate change and global inequity, the transition to renewable and sustainable energy systems has become a defining priority of the 21st century. Beyond the technical and economic dimensions of energy transitions, achieving energy justice—ensuring equitable access to clean, affordable, and sustainable energy—has emerged as a critical goal for policymakers, researchers, and practitioners worldwide.

Throughout history, advancements in energy systems have driven significant milestones in human civilization. Today, as global energy demands grow and traditional fossil fuel resources are depleted, renewable energy systems are set to take center stage in ensuring a sustainable future. However, achieving these objectives demands more than technological solutions—it requires decision-making frameworks that balance social, economic, and environmental goals while addressing disparities in energy access and distribution.

This Special Issue focuses on advancing decision-making models that integrate energy justice principles into the planning and policy development of renewable energy systems. It seeks to explore how Multi-Criteria Decision-Making (MCDM) approaches, Artificial Intelligence (AI), and interdisciplinary methods can guide the design of energy systems that prioritize sustainability, affordability, and inclusivity. By addressing these interconnected challenges, this Special Issue aims to contribute to the broader discourse on just and sustainable energy transitions.

We welcome original research articles and reviews covering a broad range of topics, including, but not limited to, the following:

  • Frameworks for incorporating energy justice into decision-making.
  • AI and MCDM applications for balancing environmental, social, and economic priorities.
  • Lifecycle and techno-economic assessments integrating social equity indicators.
  • Decision-making approaches for equitable renewable energy project financing.
  • Tools for addressing energy poverty and fostering inclusive energy access.
  • Policy strategies for ensuring justice in global and local energy transitions.
  • Interdisciplinary approaches to sustainable energy transitions.
  • Innovative financing and policy mechanisms.
  • Sustainable energy systems and the Circular Economy.
  • The resilience and reliability of renewable energy systems.
  • Smart grids and distributed energy resources.

This Special Issue aims to promote innovative ideas, critical perspectives, and actionable solutions that support the global transition to sustainable energy systems while addressing issues of equity and inclusivity. Contributions from diverse disciplines such as engineering, economics, social sciences, and public policy are strongly encouraged.

We look forward to receiving your submissions and in fostering a dialog that advances the principles of energy justice in the context of sustainable development.

Dr. Babatunde Olubayo
Dr. Oludolapo Akanni Olanrewaju
Dr. Emezirinwune Michael
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 250 words) can be sent to the Editorial Office for assessment.

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. Sustainability 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 2400 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

  • artificial intelligence in energy systems
  • multi-criteria decision-making (MCDM)
  • sustainable energy transitions

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Published Papers (2 papers)

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Research

18 pages, 1425 KB  
Article
ELECTRE-Based Optimization of Renewable Energy Investments: Evaluating Environmental, Economic, and Social Sustainability Through Sustainability Accounting
by Elias Ojetunde, Olubayo Babatunde, Busola Akintayo, Adebayo Dosa, John Ogbemhe, Desmond Ighravwe and Olanrewaju Oludolapo
Sustainability 2025, 17(23), 10872; https://doi.org/10.3390/su172310872 - 4 Dec 2025
Viewed by 174
Abstract
The shift towards renewable energy demands decision-making tools that unite economic performance with environmental stewardship and social equity. The conventional evaluation methods fail to consider these interconnected factors, which results in substandard investment results. The paper establishes a sustainability accounting system that uses [...] Read more.
The shift towards renewable energy demands decision-making tools that unite economic performance with environmental stewardship and social equity. The conventional evaluation methods fail to consider these interconnected factors, which results in substandard investment results. The paper establishes a sustainability accounting system that uses the Elimination and Choice Expressing Reality (ELECTRE) method to optimize investment distribution between solar power, wind power, and bioenergy systems. The evaluation framework uses six performance indicators, which include cost efficiency and return on investment, together with CO2 emissions intensity, job creation, energy output, and financial sustainability indicators, like Net Present Value (NPV) and payback period. The barrier optimization algorithm solved the model in 10 iterations, which took 0.10 s to achieve an optimal objective value of 1.6929. The wind energy source demonstrated superior performance in every evaluation criterion because it achieved the highest concordance scores, lowest discordance levels, best payback period, and strongest NPV. The maximum allocation went to wind at 53.3%, while bioenergy received 31.0%, and solar received 16.7%. The optimized portfolio reached a total sustainability index (SI) of 1.70, which validates the method’s strength. The research shows that using ELECTRE with sustainability accounting creates an exact and open system for renewable energy investment planning. The framework reveals wind as the core alternative yet demonstrates how bioenergy and solar work together to support sustainable development across environmental and economic and social dimensions. Full article
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32 pages, 895 KB  
Article
Multicriteria Decision-Making for Sustainable Mining: Evaluating the Transition to Net-Zero-Carbon Energy Systems
by Oluwaseye Samson Adedoja, Emmanuel Rotimi Sadiku and Yskandar Hamam
Sustainability 2025, 17(10), 4566; https://doi.org/10.3390/su17104566 - 16 May 2025
Viewed by 1019
Abstract
Transitioning to sustainability is particularly challenging in the mining domain since operations must also be economically viable and meet operational efficiency requirements. Several competing criteria, including stakeholder interests and technological uncertainties, complicate the selection of appropriate sustainable technologies. This study evaluates sustainable mining [...] Read more.
Transitioning to sustainability is particularly challenging in the mining domain since operations must also be economically viable and meet operational efficiency requirements. Several competing criteria, including stakeholder interests and technological uncertainties, complicate the selection of appropriate sustainable technologies. This study evaluates sustainable mining technologies by using a novel multicriteria decision-making framework. Six alternatives were assessed against ten criteria through expert consultation with eight academic professionals. The research employs three fuzzy methods (TOPSIS, COPRAS, and VIKOR) integrated through a proposed Geometric Inverse Distance Aggregation (GIDA) approach. The results demonstrate that waste heat recovery systems are the optimal solution with the highest GIDA score (0.0319) and agreement (99.99%), followed by solar-powered mining (0.0232, 82.12% agreement). The findings suggest a practical implementation pathway, prioritizing proven technologies while preparing for emerging solutions. This research contributes to the sustainable mining literature by providing a comprehensive evaluation framework and practical implementation guidance for mining companies transitioning to sustainable operations. Full article
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