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A Decision-making Framework for the Site Selection of PV Deployment along High-speed Railway
School of Business, Shandong University at Weihai, Weihai, 264209, China.
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Mälardalen University, School of Business, Society and Engineering. Key Laboratory of Pressure Systems and Safety (MOE), School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China.
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2021 (English)In: Energy Proceedings, Scanditale AB , 2021, Vol. 15Conference paper, Published paper (Refereed)
Abstract [en]

The development of photovoltaic industry can effectively alleviate the energy crisis and environmental pollution. The deployment of photovoltaic power stations along the high-speed railway is a new mode combining photovoltaic new energy with infrastructure. This paper constructs a comprehensive decision-making framework for the site selection of PV power station along high-speed railway combining the subjective method and the objective method. A scientific and reasonable evaluation index system comprehensively considering multiple factors is constructed in this framework. Analytic hierarchy process and Entropy weight method are combined to determine the weight of every index, which combines the expert knowledge and data information effectively, relatively reducing systematic error and random error. Grey relational analysis is used to choose scheme among several alternatives, which greatly deal with the strong grey correlations among indexes. The framework established in this paper is used to select PV power stations along the Beijing-Shanghai high-speed railway, which also verifies the effectiveness of the framework.

Place, publisher, year, edition, pages
Scanditale AB , 2021. Vol. 15
Keywords [en]
Decision-making framework, High-speed railway, PV integration, site selection
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-66495DOI: 10.46855/energy-proceedings-8553Scopus ID: 2-s2.0-85190400784OAI: oai:DiVA.org:mdh-66495DiVA, id: diva2:1854398
Conference
Applied Energy Symposium: Low carbon cities and urban energy systems, 2021, Matsue, September 4-8, 2021
Note

Conference code: 310729

Available from: 2024-04-25 Created: 2024-04-25 Last updated: 2025-01-09Bibliographically approved

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Jiang, Mingkun

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CiteExportLink to record
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  • apa
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  • de-DE
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