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Integrated energy efficiency evaluation of a multi-source multi-load desalination micro-energy network

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Integrated energy efficiency evaluation of a multi-source multi-load desalination micro-energy network

多源多负荷海水淡化微网综合能效评估

Dan Wang1, Jiancheng Yu2, Bo Liu1, Chao Long3, Peiyu Chen4, Zhiqiang Chong4

1.Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Nankai District, Tianjin 300072, P.R. China 2.State Grid Tianjin Electric Power Company, Hebei District, Tianjin 300010, P.R. China 3.Centre for Energy Systems and Strategy in School of Water, Energy and Environment, Cranfield University, College Road Cranfield MK43 0AL, United Kingdom 4.Electric Power Research Institute of State Grid Tianjin Electric Power Company, Xiqing District, Tianjin 300384, P.R. China

Abstract

With increasing global shortage of fresh water resources, many countries are prioritizing desalination as a means of utilizing abundantly available seawater resources. Integrated energy efficiency evaluation is a scientific method for the quantitative analysis of energy efficiency based on multiple indicators and is very useful for investment, construction, and scientific decision-making for desalination projects. In this paper, the energy efficiency evaluation of the micro energy network (MEN) of desalination for multi-source and multi-load is studied, and the basic idea of comprehensive energy efficiency evaluation is analyzed. The process includes the use of a MEN model to establish an integrated energy efficiency evaluation index system, taking into consideration energy, equipment, economic, environmental, and social factors. A combined evaluation method considering subjective and objective comprehensive weights for multi-source multi-load desalination MENs is proposed to evaluate the energy efficiency of desalination and from multiple perspectives.

Keywords

Seawater Desalination, Micro-energy Network, Integrated Energy Efficiency Evaluation, Index System, Evaluation Method.

Fig.1 Engineering model for membrane desalination

Fig.2 Engineering model for thermal desalination

Fig.3 Integrated energy efficiency evaluation of a multi- source multi-load desalination MEN

Fig.4 Integrated energy efficiency index system

本文引文信息

Wang D, Yu J, Liu B, Long C, Chen P, Chong Z (2020) Integrated energy efficiency evaluation of a multi-source multi-load desalination micro-energy network. Global Energy Interconnection, 3(2): 128-139

王丹,于建成,刘博,龙超,陈培育,崇志强 (2020) 多源多负荷海水淡化微网综合能效评估综述. 全球能源互联网(英文),3(2): 128-139

Biographies

Dan Wang

received a Ph.D. degree from Tianjin University, Tianjin, China, in 2009 and became an Associate Professor at Tianjin University in 2015. His research interests include integrated energy systems, distributed generation systems, microgrid modeling and simulation, demand-side management, and power system stability analysis.

Jiancheng Yu

received a Ph.D. degree from Tianjin University, Tianjin, China, in 2006 and he is currently working for the State Grid Tianjin Electric Power Company. His research interests include the energy internet, intelligent power generation technology, and demonstra- tion project construction.

Bo Liu

received a B.S. degree from the School of Mechano-Electronic Engineering at Xidian University, Shaanxi, China, in 2018 and he is now a graduate student at Tianjin University. His research interests include P2P energy transactions in microgrids,

Chao Long

received a PhD degree from Glasgow Caledonian University, United Kingdom, in 2014. He is a Lecturer in Digital Energy Systems at Cranfield University, United Kingdom. He is with Centre for Energy Systems and Strategy in School of Water, Energy and Environment (SWEE). His research focuses on P2P energy trading, EVs and Blockchain technology.

Peiyu Chen

received a M.S. degree from North China Electric Power University, Beijing, in 2007 and he is currently working for the Electric Power Research Institute of the State Grid Tianjin Electric Power Company. His research interests include power system analysis and renewable energy.

Zhiqiang Chong

received a M.S. degree from North China Electric Power University, Beijing, in 2015 and he is currently working for the Electric Power Research Institute of the State Grid Tianjin Electric Power Company. His research interests include analysis of power system security and stability.

Editor:Zhou Zhou