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Entropy
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Economics, Entropy, Energy Transition and Sustainability
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Economics, Entropy, Energy Transition and Sustainability

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Thermodynamics".

Deadline for manuscript submissions: closed (30 March 2022) | Viewed by 7835

Special Issue Editor

Prof. Dr. Fateh Belaid

E-Mail Website1 Website2
Guest Editor
Faculty of Management, Economics & Sciences, Lille Catholic University, F-59000 Lille, France
Interests: energy & environmental economics; energy efficiency; fuel poverty; energy policy; econometrics; smart & sustainable cities

Special Issue Information

Dear Colleagues,

Since the seminal work of Ayres and Kneese (1969) and Georgescu-Roegen (1971), various research studies have explored the consequences of the thermodynamic laws for economy. Recognizing the weak consequences of these laws in economic analysis, Robert Solow has formulated the mainstream opinion as follows: “… everything is subject to the entropy law, but this is of no immediate practical importance for modeling what is, after all, a brief instant of time in a small corner of the universe…” (Solow, 1997, p. 268).

This position has been strongly criticized, particularly by environmental and ecological economists. Contributing to this field of study, this Special Issue aims to explore a crucial topic that has been raised in recent years in both policy and economic literature: the consequences of the second law of thermodynamics for economic activities and sustainability. To reflect the interdisciplinary nature of entropy and its applications, this Special Issue will include works on the following main subjects: 

  • The role of the entropy law in shaping economic activities
  • Entropy and sustainable economic growth
  • Relevance of entropy to economics
  • Thermo-economics of energy efficiency
  • Energy transition: key challenges and lessons learned
  • Social entropy and social ecology
  • Economic and social impact of renewable energy sources
  • Sustainable energy efficiency financing and delivery mechanisms

Dr. Fateh Belaid
Guest Editor

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. Entropy is an international peer-reviewed open access monthly 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 transition 
  • sustainability 
  • entropy 
  • economic efficiency 
  • growth 
  • energy efficiency 
  • technical change 
  • exergy

Published Papers (3 papers)

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Research

27 pages, 2566 KiB  
Article
Two-Step Measurement of Water–Energy–Food Symbiotic Coordination and Identification of Key Influencing Factors in the Yangtze River Basin
by Weizhong Chen and Yan Chen
Entropy 2021, 23(7), 798; https://0-doi-org.brum.beds.ac.uk/10.3390/e23070798 - 23 Jun 2021
Cited by 14 | Viewed by 2121
Abstract
With the intensification of people’s production and life behaviors, the systemic risks of water, energy and food in the Yangtze River Basin have become increasingly prominent, which has become a bottleneck for sustainable development of social, economic and ecological in the basin. Therefore, [...] Read more.
With the intensification of people’s production and life behaviors, the systemic risks of water, energy and food in the Yangtze River Basin have become increasingly prominent, which has become a bottleneck for sustainable development of social, economic and ecological in the basin. Therefore, studying the symbiotic coordination between water, energy and food is of great significance to promoting regional sustainable development. First, from the perspective of water–energy–food symbiosis, with the water–energy–food ecosystem conceptual model as the nexus, the two-step measurement model of the symbiotic index and the symbiotic level index is used to study the water–energy–food symbiosis of the Yangtze River. Then, we use the BP-DEMATEL-GTCW model to identify the key influencing factors that affect the symbiotic security of the water–energy–food ecosystem. In this research, it is found that the average value of the symbiotic degree of the water–energy–food ecosystem of the 11 provinces or municipalities in the Yangtze River Basin only reached the risk grade. It can also be seen from the identification results of key influencing factors that energy microsystem-related indicators have a greater impact on the symbiotic development of the entire WEF ecosystem. Therefore, special attention needs to be paid to increasing energy sources and reducing expenditure. Relevant departments need to effectively develop primary energy production and expand energy-saving investment through multiple channels to expand energy self-sufficiency and ultimately promote the coordinated and effective development of water, energy and food in the Yangtze River Basin. Full article
(This article belongs to the Special Issue Economics, Entropy, Energy Transition and Sustainability)
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18 pages, 3540 KiB  
Article
Electricity, Heat, and Gas Load Forecasting Based on Deep Multitask Learning in Industrial-Park Integrated Energy System
by Linjuan Zhang, Jiaqi Shi, Lili Wang and Changqing Xu
Entropy 2020, 22(12), 1355; https://0-doi-org.brum.beds.ac.uk/10.3390/e22121355 - 30 Nov 2020
Cited by 27 | Viewed by 2537
Abstract
Different energy systems are closely connected with each other in industrial-park integrated energy system (IES). The energy demand forecasting has important impact on IES dispatching and planning. This paper proposes an approach of short-term energy forecasting for electricity, heat, and gas by employing [...] Read more.
Different energy systems are closely connected with each other in industrial-park integrated energy system (IES). The energy demand forecasting has important impact on IES dispatching and planning. This paper proposes an approach of short-term energy forecasting for electricity, heat, and gas by employing deep multitask learning whose structure is constructed by deep belief network (DBN) and multitask regression layer. The DBN can extract abstract and effective characteristics in an unsupervised fashion, and the multitask regression layer above the DBN is used for supervised prediction. Then, subject to condition of practical demand and model integrity, the whole energy forecasting model is introduced, including preprocessing, normalization, input properties, training stage, and evaluating indicator. Finally, the validity of the algorithm and the accuracy of the energy forecasts for an industrial-park IES system are verified through the simulations using actual operating data from load system. The positive results turn out that the deep multitask learning has great prospects for load forecast. Full article
(This article belongs to the Special Issue Economics, Entropy, Energy Transition and Sustainability)
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12 pages, 275 KiB  
Article
Measuring Carbon Market Transaction Efficiency in the Power Industry: An Entropy-Weighted TOPSIS Approach
by Jin Zhu, Huaping Sun, Nanying Liu, Dequn Zhou and Farhad Taghizadeh-Hesary
Entropy 2020, 22(9), 973; https://0-doi-org.brum.beds.ac.uk/10.3390/e22090973 - 31 Aug 2020
Cited by 7 | Viewed by 2214
Abstract
Carbon emission control is an urgent environmental issue that governments are paying increasing attention to. Improving carbon market transaction efficiency in the context of China’s power industry is important for green growth, low carbon transmission, and the realization of sustainable development goals. We [...] Read more.
Carbon emission control is an urgent environmental issue that governments are paying increasing attention to. Improving carbon market transaction efficiency in the context of China’s power industry is important for green growth, low carbon transmission, and the realization of sustainable development goals. We used the entropy-weighted Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method in this empirical study to analyze the carbon market transaction efficiency of China’s power industry. The results showed that the Beijing carbon market has the highest transaction efficiency, followed by those of Guangdong Province and Shenzhen City. Hubei Province also has a relatively high carbon market transaction volume and turnover; its transaction efficiency ranks fourth. Shanghai, Tianjin, and Chongqing are the lowest-ranked regions, having carbon markets with relatively low trading volume and turnover. We, therefore, recommend that to develop a unified national carbon market, governmental agencies at all levels should equitably allocate carbon; strict regulations and penalties are also needed. Full article
(This article belongs to the Special Issue Economics, Entropy, Energy Transition and Sustainability)
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