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作者:

Ji, Ling (Ji, Ling.) (学者:嵇灵) | Wu, Yuxuan (Wu, Yuxuan.) | Xie, Yulei (Xie, Yulei.) | Sun, Lijian (Sun, Lijian.) | Huang, Guohe (Huang, Guohe.)

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EI Scopus SCIE

摘要:

Hybrid energy systems with renewable energy penetration have become popular solutions to improve energy se-curity and realize the carbon neural target in urban areas. In this paper, a holistic framework is proposed for the sustainable development of a neighborhood-scale energy system integrating rooftop PV and waste-to-energy technologies. Under this framework, potential assessment of local renewable energy, optimization approach, and sensitivity analysis are integrated for the optimal design and management of the hybrid energy system with uncertain analysis. Besides, the economic, efficiency, and environmental performance under grid -connected and off-grid operation modes are compared. This proposed framework is applied to a neighborhood area in Beijing. The results show that the grid-connected hybrid energy system will still rely on traditional energy supply with low cost but great carbon emissions. In the off-grid mode, 11 % of the rooftop area will be encouraged to deploy PV panels, which satisfying 39 % of the total electricity demand. Moreover, although decreasing the PV capital cost, raising the electricity price, and increasing carbon emission penalty cost will stimulate the develop-ment of local renewable energy, compulsive renewable energy penetration policy is more effective to promote the traditional energy system transformation and reduce carbon emissions. (c) 2022 International Energy Initiative. Published by Elsevier Inc. All rights reserved.

关键词:

Potential assessment Optimization Rooftop PV Waste-to-energy Hybrid energy system

作者机构:

  • [ 1 ] [Ji, Ling]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Wu, Yuxuan]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Xie, Yulei]Guangdong Univ Technol, Inst Environm & Ecol Engn, Guangzhou 510006, Guangdong, Peoples R China
  • [ 4 ] [Sun, Lijian]Chinese Acad Surveying & Mapping, Beijing 100830, Peoples R China
  • [ 5 ] [Huang, Guohe]Univ Regina, Fac Engn, Environm Syst Engn Program, Regina, SK S4S 0A2, Canada
  • [ 6 ] [Ji, Ling]Beijing Univ Technol, Sch Econ & Management, 100 Ping Yuan, Beijing 100124, Peoples R China

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来源 :

ENERGY FOR SUSTAINABLE DEVELOPMENT

ISSN: 0973-0826

年份: 2022

卷: 70

页码: 78-92

5 . 5

JCR@2022

5 . 5 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:49

JCR分区:2

中科院分区:3

被引次数:

WoS核心集被引频次: 16

SCOPUS被引频次: 16

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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