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Energy Efficiency Assessment and Resource Optimization
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Energy Efficiency Assessment and Resource Optimization

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Resources and Sustainable Utilization".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 9303

Special Issue Editors

Prof. Dr. Zhiqiang Geng

E-Mail Website
Guest Editor
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
Interests: information domain; system modeling and optimization; renewable energy conversion; resource optimization and storage; CO2 reduction; data mining; big data and information process; energy efficiency assessment; chemical processess
Prof. Dr. Yongming Han

E-Mail Website1 Website2
Guest Editor
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
Interests: early warning modeling; safety analysis; efficiency evaluation and prediction; data fusion and fuzzy hierarchy fusion; software design and development; carbon emission reduction and system optimization
Special Issues, Collections and Topics in MDPI journals
Dr. Chong Chu

E-Mail Website
Guest Editor
Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
Interests: computational biology; bioinformatics; machine learning; energy efficiency evaluation; early warning modeling; biomedical informatics; software design and development

Special Issue Information

Dear Colleagues,

With the increase in human social activities, energy efficiency improvement and resource optimization have attracted more and more attention from environment and industrial process research communities, especially in the chemical process, input–output resources, renewable energy, and process industries, etc. Traditional mechanism model analysis and actual production verification methods lead to the disadvantages of difficult energy efficiency evaluation, high complexity, and excessive cost. Through data analysis and artificial intelligence technologies, such as neural networks, principal component analysis, and data computing, energy efficiency can be evaluated based on data-driven methods to achieve resource optimization. It can reduce the unnecessary influence factors in the actual energy efficiency evaluation process of process industries, and can quickly establish an energy efficiency assessment and resource optimization model, which is conducive to the realization of resource protection and emission reduction, and can thus improve the energy efficiency.

Prof. Dr. Zhiqiang Geng
Dr. Yongming Han
Dr. Chong Chu
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. 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

  • Data driven
  • Intelligent optimization
  • Efficiency evaluation
  • Artificial intelligence
  • Data mining and fusion
  • Environmental protection
  • Energy saving
  • Resource optimization
  • Mechanism model
  • Renewable energy conversion and utilization
  • High-efficiency energy device
  • Neural network
  • Deep learning
  • Environmental efficiency
  • Early warning modeling
  • Safety analysis
  • System optimization
  • Process industries

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Published Papers (4 papers)

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Research

14 pages, 1165 KiB  
Article
Risk Evaluation of Overseas Mining Investment Based on a Support Vector Machine
by Hujun He, Yichen Zhao, Hongxu Tian and Wei Li
Sustainability 2023, 15(1), 240; https://doi.org/10.3390/su15010240 - 23 Dec 2022
Cited by 4 | Viewed by 1564
Abstract
Analyzing the general method of establishing a support vector machine evaluation model, this paper discusses the application of this model in the risk assessment of overseas mining investment. Based on the analysis of the risk assessment index system of overseas mining investment, the [...] Read more.
Analyzing the general method of establishing a support vector machine evaluation model, this paper discusses the application of this model in the risk assessment of overseas mining investment. Based on the analysis of the risk assessment index system of overseas mining investment, the related parameters of the optimal model were ascertained by training the sample data of 20 countries collected in 2015 and 2016, and the investment risk of 8 test samples was evaluated. All 8 samples were correctly identified, with an error rate of 0. South Africa’s mining investment risk in 2016 was assessed using the risk evaluation model for overseas mining investment based on a support vector machine, and it was rated as grade IV (general investment risk). The results show that the model can provide a new solution for the judgment and deconstruction of the risk of overseas mining investment. Full article
(This article belongs to the Special Issue Energy Efficiency Assessment and Resource Optimization)
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19 pages, 2847 KiB  
Article
Experimental Research of Gaseous Emissions Impact on the Performance of New-Design Cylindrical Multi-Channel Cyclone with Adjustable Half-Rings
by Aleksandras Chlebnikovas, Dainius Paliulis, Kristina Kilikevičienė and Artūras Kilikevičius
Sustainability 2022, 14(2), 902; https://doi.org/10.3390/su14020902 - 13 Jan 2022
Cited by 3 | Viewed by 2133
Abstract
Cyclones are widely used for separating particles from gas in energy production objects. The efficiency of conventional centrifugal air cleaning devices ranges from 85 to 90%, but the weakness of many cyclones is the low collection efficiency of particles less than 10 μm [...] Read more.
Cyclones are widely used for separating particles from gas in energy production objects. The efficiency of conventional centrifugal air cleaning devices ranges from 85 to 90%, but the weakness of many cyclones is the low collection efficiency of particles less than 10 μm in diameter. The novelty of this work is the research of the channel-type treatment device, with few levels adapted for precipitation of fine particulate matter, acting by a centrifugal and filtration principle. Many factors have an impact on cyclone efficiency—humidity, temperature, gas (air) composition, airflow velocity and etc. Many scientists evaluated only the effect of origin and size of PM on cyclone efficiency. The effect of gas (air) composition and temperature, and humidity on the multi-channel cyclone-separator efficiency still demands contributions. Complex theoretical and experimental research on air flow parameters and the efficiency of a cylindrical eight-channel system with adjustable half-rings for removing fine-dispersive particles (<20 μm) was carried out. The impact of air humidity and temperature on air flow, and gaseous smoke components on the removal of wood ashes was analyzed. The dusty gas flow was regulated. During the experiment, the average velocity of the cyclone was 16 m/s, and the temperature was 20–50 °C. The current paper presents experimental research results of wood ash removal in an eight-channel cyclone and theoretical methodology for the calculation of airflow parameters and cyclone effectiveness. Full article
(This article belongs to the Special Issue Energy Efficiency Assessment and Resource Optimization)
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20 pages, 1625 KiB  
Article
Emergy-Based Assessment and Suggestions for Sustainable Development of Regional Ecological Economy: A Case Study of Anhui Province, China
by Cui Wang, Yingyan Zhang, Conghu Liu, Fagang Hu, Shuling Zhou and Juan Zhu
Sustainability 2021, 13(5), 2988; https://doi.org/10.3390/su13052988 - 9 Mar 2021
Cited by 12 | Viewed by 2870
Abstract
In view of the coordination of economy, society, and environment in the process of the rapid development of the regional economy, this study proposes the evaluation method of sustainable development of a regional economy on the basis of emergy. The study also constructed [...] Read more.
In view of the coordination of economy, society, and environment in the process of the rapid development of the regional economy, this study proposes the evaluation method of sustainable development of a regional economy on the basis of emergy. The study also constructed an evaluation index system of sustainable development of regional ecological economy from four aspects, namely, structural, functional, and ecological efficiency, and sustainable development index. The objective was to comprehensively evaluate the quality and environmental friendliness of regional economic development. On this basis, this study measured and evaluated the sustainable development of the ecological economy in Anhui Province by using emergy to analyze the statistical data of the economic development of Anhui Province, China, from 2010 to 2018. The study also provides targeted decision-making suggestions for the sustainable and high-quality development of the Anhui economy. Furthermore, this study provides a measure and evaluation method for the sustainable development of the regional economy and effective policy recommendations, which have important theoretical and practical significance. Full article
(This article belongs to the Special Issue Energy Efficiency Assessment and Resource Optimization)
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22 pages, 1879 KiB  
Article
On the Way to Integrate Increasing Shares of Variable Renewables in China: Experience from Flexibility Modification and Deep Peak Regulation Ancillary Service Market Based on MILP-UC Programming
by Yinhe Bu and Xingping Zhang
Sustainability 2021, 13(5), 2446; https://doi.org/10.3390/su13052446 - 24 Feb 2021
Cited by 1 | Viewed by 1642
Abstract
China has declared ambitious carbon emission reduction targets and will integrate increasing shares of variable renewables for the next decades. The implementation for flexibility modification of thermal power units and deep peak regulation ancillary service market alleviates the contradiction between rapid capacity growth [...] Read more.
China has declared ambitious carbon emission reduction targets and will integrate increasing shares of variable renewables for the next decades. The implementation for flexibility modification of thermal power units and deep peak regulation ancillary service market alleviates the contradiction between rapid capacity growth and limited system flexibility. This paper establishes three flexibility modification schemes and two price rules for simulation and proposes an analysis framework for unit commitment problem based on mixed-integer linear programming to evaluate the policy mix effects. Results confirm the promoting effects of flexibility modification on integrating variable renewables and illustrate diverse scheme selections under different renewables curtailment. Particularly, there is no need for selecting expensive schemes which contain more modified units and more developed flexibility, unless the curtailment decrement is compulsorily stipulated or worth for added modification cost. Similarly, results also prove the revenue loss compensation effect of deep peak regulation ancillary service market and illustrate diverse price rule selections under different curtailment intervals. Price rule with more subdivided load intervals and bigger price differences among them is more effective, especially under the higher requirement for curtailment rate. Therefore, the government should further enlarge flexibility modification via but not limited to more targeted compensation price, while generators should further consider a demand-based investment. Full article
(This article belongs to the Special Issue Energy Efficiency Assessment and Resource Optimization)
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