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Novel Fuzzy Multi-Criteria Decision Making Method and Its Application in Energy Economics under the Goal of Carbon Neutrality

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (20 September 2022) | Viewed by 5857

Special Issue Editors

Dr. Sen Guo

E-Mail Website
Guest Editor
School of Economics and Management, North China Electric Power University, Beijing 102206, China
Interests: energy economy and environment; energy investments; electricity market and carbon market
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Haoran Zhao

E-Mail Website
Guest Editor
School of Economics and Management, Beijing Information Science and Technology Universit, Beijing 100101, China
Interests: multi-criteria decision-making theory and application; energy forecasting; energy system optimization
Prof. Dr. Huiru Zhao

E-Mail Website
Guest Editor
School of Economics and Management, North China Electric Power University, Beijing 102206, China
Interests: energy economics; energy management; key energy project evaluation and risk analysis

Special Issue Information

Dear Colleagues,

Multi-criteria decision making (MCDM) is an important part of modern decision science, which has obtained a wide range of applications in many fields, such as engineering, economics, and management. The MCDM can effectively deal with the issues which include multiple conflicting criteria. In the past few years, MCDM has made great achievement in the aspects of theory and methods, and many methods have been proposed, such as TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje), GDM (grey decision-making), ELECTRE (Elimination and Choice Expressing REality), MEEM (matter-element extension model), SWARA (step-wise weight assessment ratio analysis), AHP (Analytic Hierarchy Process), BWM (Best-Worst Method) and so on.

However, considering the vagueness frequently representing in decision data due to the lack of complete information and the ambiguity arising from the qualitative judgment of decision-makers, the crisp values of criteria may be inadequate to model the real-life MCDM-related issues. Therefore, the fuzzy theory such as fuzzy set has been introduced into the MCDM, and the fuzzy MCDM methods have been proposed, such as fuzzy TOPSIS, fuzzy VIKOR, fuzzy AHP, fuzzy BWM, and so on. Compared with the MCDM, the fuzzy MCDM can better deal with the issues with the characteristics of vagueness and ambiguity. However, facing to the complexity and variability of the real world, novel fuzzy MCDM methods are still needed for better decision-making of practice issues.

Currently, many countries have proposed the goal of carbon neutrality, such as China and USA. Moreover, China has also proposed to construct the new-type electric power system which takes new energy as the main body. Therefore, the energy structure and development pattern will largely change, which will generate new issues in the field of energy economics under the goal of carbon neutrality such as the energy transition economy, new-type electric power system economy, and carbon neutrality economy. Fuzzy MCDM is an efficient and practical tool for decision making related to energy economics, especially when some conflicting criteria and the ambiguity of decision makers need to be considered, which has been widely employed in this field. It is believed that novel fuzzy MCDM will play a great role in the field of energy economics under the goal of carbon neutrality.

Therefore, this Special Issue aims to collate original research papers that contribute the theory and methodology of novel fuzzy MCDM, and its application in the field of energy economics.

Prof. Dr. Sen Guo
Prof. Dr. Haoran Zhao
Prof. Dr. Huiru Zhao
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

  • fuzzy MCDM method
  • novel MCDM method
  • hybrid fuzzy MCDM method
  • group fuzzy MCDM method
  • novel fuzzy MCDM application in energy economics
  • novel fuzzy MCDM application in energy environment
  • novel fuzzy MCDM application in carbon neutrality economics
  • novel fuzzy MCDM application in new-type electric power system economics
  • novel fuzzy MCDM application in energy transition economics
  • novel fuzzy MCDM application in carbon emission reduction economics
  • novel fuzzy MCDM application in new energy economics

Published Papers (3 papers)

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Research

25 pages, 2651 KiB  
Article
Obstacle Identification and Analysis to the Commercialization of CCUS Technology in China under the Carbon Neutrality Target
by Yanting Sun, Yanbin Li, Feng Zhang and Chang Liu
Energies 2022, 15(11), 3964; https://doi.org/10.3390/en15113964 - 27 May 2022
Cited by 5 | Viewed by 1823
Abstract
As the largest emitter of carbon dioxide all over the world, China requires a rapid breakthrough and large-scale commercial application of carbon capture, utilization and sequestration (CCUS) technology to achieve the 2060 carbon neutrality target. However, the process of CCUS technology commercialization in [...] Read more.
As the largest emitter of carbon dioxide all over the world, China requires a rapid breakthrough and large-scale commercial application of carbon capture, utilization and sequestration (CCUS) technology to achieve the 2060 carbon neutrality target. However, the process of CCUS technology commercialization in China is quite slow. Firstly, an obstacle system with 15 factors is established based on a literature review and expert consultation, namely on economic, technical, political, market, and social obstacles. Secondly, taking into account the uncertainty and randomness inherent in subjective judgment, Vague set is introduced for the first time to improve the DEMATEL-ANP (DANP) method in order to analyze comprehensive importance and causal relationship of obstacles. According to the study, in advancing CCUS’s commercialization in China, economic obstacles are simply the tip of the iceberg, with the deeper reasons rooted in political obstacles. Specifically, seven critical obstacles are lack of standards and regulations, inadequate legal and regulatory framework, insufficient incentive policies, limited carbon dioxide conversion efficiency, high energy consumption, low rate of return on investments and low investment enthusiasm of enterprise. We conclude with a series of recommendations to address these obstacles, and these findings can be used as a guide for government regulation and business practice. Full article
(This article belongs to the Special Issue Novel Fuzzy Multi-Criteria Decision Making Method and Its Application in Energy Economics under the Goal of Carbon Neutrality)
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18 pages, 1088 KiB  
Article
Organizational Performance Evaluation of Coal-Fired Power Enterprises Using a Hybrid Model
by Shunkun Yu and Yuqing Song
Energies 2022, 15(9), 3175; https://doi.org/10.3390/en15093175 - 26 Apr 2022
Cited by 4 | Viewed by 1489
Abstract
Carbon peaking and carbon neutrality goals have proposed by many countries, including China. Meanwhile, China has also proposed the construction of a new-type electric power system with new energy as the main body, which will have great impacts on coal-fired power generation enterprises. [...] Read more.
Carbon peaking and carbon neutrality goals have proposed by many countries, including China. Meanwhile, China has also proposed the construction of a new-type electric power system with new energy as the main body, which will have great impacts on coal-fired power generation enterprises. The transformation of coal-fired power enterprises is imperative, and the evaluation of the organizational performance of coal-fired power enterprises is urgent, which can accurately determine the development status and even can find issues related to the transformation of coal-fired power enterprises. In this paper, a hybrid evaluation model is proposed based on the Variational Auto-Encoder algorithm and fuzzy comprehensive evaluation method improved by a vague set to comprehensively evaluate the organizational performance of coal-fired power enterprises. Eight coal-fired power enterprises in North China are selected for empirical analysis. The results show that the YC coal-fired power enterprise has the best organizational performance, while the NK coal-fired power enterprise has the worst organizational performance. Moreover, sensitivity and comparative analyses are carried out to verify the robustness of the evaluation result using the proposed hybrid method in this paper. This paper focuses on the organizational performance evaluation of coal-fired power enterprises, which can provide a reference for the smooth transformation and sustainable development of coal-fired power enterprises in the context of “Dual-Carbon” goals. Full article
(This article belongs to the Special Issue Novel Fuzzy Multi-Criteria Decision Making Method and Its Application in Energy Economics under the Goal of Carbon Neutrality)
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17 pages, 2445 KiB  
Article
A Hybrid MCDM Model for Evaluating the Market-Oriented Business Regulatory Risk of Power Grid Enterprises Based on the Bayesian Best-Worst Method and MARCOS Approach
by Zhuola Zhang, Shiyuan Lin, Yingjin Ye, Zhao Xu, Yihang Zhao, Huiru Zhao and Jingqi Sun
Energies 2022, 15(9), 2978; https://doi.org/10.3390/en15092978 - 19 Apr 2022
Cited by 8 | Viewed by 1743
Abstract
As a result of the deepening of China’s power system reform, the market-oriented business development of power grid enterprises is in full swing. However, most of the existing research has focused on the regulatory risks of the regulatory business for power grid enterprises, [...] Read more.
As a result of the deepening of China’s power system reform, the market-oriented business development of power grid enterprises is in full swing. However, most of the existing research has focused on the regulatory risks of the regulatory business for power grid enterprises, while ignoring the regulatory risks faced by market-oriented businesses. In order to promote the sustainable development of market-oriented business, a comprehensive regulatory risk assessment framework was constructed for the market business of power grid enterprises. First, the risk assessment index system was constructed from the perspectives of policy risk, business isolation risk, market risk, and safety risk. Then, a novel hybrid multi-criteria decision-making (MCDM) model based on the Bayesian best-worst method and the measurement alternatives and ranking according to the compromise solution approach, was adopted. Finally, eight market-oriented businesses were selected as case studies. The result indicates that organizational isolation risk and operational security risk are the key regulatory risks of the market-oriented business for power grid enterprises. Compared with two other MCDM models, the proposed hybrid MCDM model has good applicability and effectiveness for risk evaluation of the regulatory business. The results of this research can provide support for power enterprises to deal with market-oriented business supervision, and can also provide a reference for power industry regulators. Full article
(This article belongs to the Special Issue Novel Fuzzy Multi-Criteria Decision Making Method and Its Application in Energy Economics under the Goal of Carbon Neutrality)
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