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Analysis, Planning and Management of Energy and Atmospheric Systems

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 945

Special Issue Editor

School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
Interests: system analysis of energy and atmospheric environment; environmental pollution control technology; multiple uncertainty expression; system optimization; etc

Special Issue Information

Dear Colleagues,

We invite you to submit your papers to this Special Issue of Sustainability, entitled "Analysis, Planning and Management of Energy and Atmospheric Systems".

The world is facing an energy crisis across aspects of society ranging from citizens to countries, and air pollution produced from processes of energy utilization has been of universal concern. An energy atmospheric system is a system that considers and resolves atmospheric environmental pollution problems of energy exploitation, energy transportation, energy conversion, energy distribution and energy utilization, etc. Energy atmospheric systems play a vital role in reducing, analyzing and resolving the atmospheric pollution problems that have emerged from the process of energy utilization. In such a system, reducing energy consumption and increasing energy efficiency are the two primary means of alleviating atmospheric pollution, and technical measures and non-technical measures are often used for this purpose. Planning belongs to the non-technical measures, often used in the optimization of design, resource allocation and management. Planning is also used to predict the effect of the measures adopted. By comparing the simulation effects of different measures, decision makers can obtain an optimal plan and apply it to the energy atmosphere system, achieving the goals of energy utilization and atmosphere protection in parallel. Then the solution is given through the analysis of the atmospheric pollution problems encountered in the process of system operation, providing a reference for system management and long-term sustainability.

The papers are welcome if one or more of the following approaches are adopted:

  • Ÿ energy industry technologies enabling atmospheric pollution prevention and sustainability;
  • Ÿ sustainability impacts of new technologies in energy atmospheric system;
  • Ÿ developing new modeling methods for energy atmospheric systems;
  • Ÿ life cycle approaches to energy atmospheric system sustainability;
  • Ÿ application of existing planning methods to and/or analysis of methods for the pollution prediction and control of energy atmospheric systems;
  • Ÿ contribution of energy atmospheric system technologies and practices to sustainable development goals;
  • Ÿ proposing new indicators and/or sustainability performance benchmarking for energy atmospheric systems.

Articles focusing on other topics and approaches relevant to this Special Issue but not included in the list above will also be considered.

Dr. Ying Zhu
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. 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

  • energy and atmospheric system
  • energy planning
  • energy system management
  • energy and atmospheric modelling
  • energy atmospheric pollution prevention
  • sustainability

Published Papers (1 paper)

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Research

22 pages, 5973 KiB  
Article
Analysis of Extreme Random Uncertainty in Energy and Environment Systems for Coal-Dependent City by a Copula-Based Interval Cost–Benefit Stochastic Approach
by Yanzheng Liu, Jicong Tan, Zhao Wei, Ying Zhu, Shiyu Chang, Yexin Li, Shaoyi Li and Yong Guo
Sustainability 2024, 16(2), 745; https://doi.org/10.3390/su16020745 - 15 Jan 2024
Viewed by 531
Abstract
Extreme random events will interfere with the inversion analysis of energy and environment systems (EES) and make the planning schemes unreliable. A Copula-based interval cost–benefit stochastic programming (CICS) is proposed to deal with extreme random uncertainties. Taking Yulin city as an example, there [...] Read more.
Extreme random events will interfere with the inversion analysis of energy and environment systems (EES) and make the planning schemes unreliable. A Copula-based interval cost–benefit stochastic programming (CICS) is proposed to deal with extreme random uncertainties. Taking Yulin city as an example, there are nine constraint-violation scenarios and six coal-reduction scenarios are designed. The results disclose that (i) both system cost and pollutant emission would decrease as the industrial energy supply constraint-violation level increases; (ii) when the primary and secondary energy output increases by 9% and 13%, respectively, and industrial coal supply decreases by 40%, the coal-dependent index of the system would be the lowest, and the corresponding system profitability could reach [29.3, 53.0] %; (iii) compared with the traditional chance-constrained programming, Copula-based stochastic programming can reflect more uncertain information and achieve a higher marginal net present value rate. Overall, the CICS-EES model offers a novel approach to gain insight into the tradeoff between system reliability and profitability. Full article
(This article belongs to the Special Issue Analysis, Planning and Management of Energy and Atmospheric Systems)
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