Demand Forecasting Model and Economic Benefit of Charging Piles Based on BOT Mode

Hongyu Long (), Hongyong Liu (), Lei Liu () and Qinge Yang ()
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Hongyu Long: Southwest Petroleum University
Hongyong Liu: Southwest Petroleum University
Lei Liu: Chengdu Lvcheng Bashu Investment Co., Ltd.
Qinge Yang: Southwest Petroleum University

A chapter in Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 1093-1111 from Springer

Abstract: Abstract With the increase of energy and environmental pressures, the electric vehicle industry has developed rapidly under the support of national policies. At present, China's charging infrastructure and electric vehicle development are not coordinated, and the construction of charging infrastructure can help promote the development of the electric vehicle industry. Due to the high initial investment and operation and maintenance costs of the charging infrastructure construction project, it is necessary to conduct research on the financing method. This paper takes Southwest Petroleum University as an example to study the deployment strategy and financing methods of campus charging piles. Firstly, through the integer branch and bound method and field research, the demand forecasting model of the total amount for campus charging demand was created and solved, and the deployment strategy model was established with the lowest cost as the target to obtain the optimal solution of the charging piles. Then, based on the deployment strategy, the economic benefit analysis of the Build–Operate–Transfer (BOT) financing mode was carried out. Finally, suggestions for the future intelligent operation and maintenance management of charging piles were put forward. The conclusion of this paper complements the relevant literature of BOT charging pile project, which has theoretical contribution and practical significance.

Keywords: Charging infrastructure; Demand forecasting model; Economic benefit analysis; Build–operate–transfer (BOT); Electric vehicle (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-8892-1_77

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DOI: 10.1007/978-981-15-8892-1_77

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