|Table of Contents|

Analytic hierarchy process evaluation method of development potential of solar energy resources in highway areas(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2024年5期
Page:
57-70
Research Field:
交通能源融合技术专题
Publishing date:

Info

Title:
Analytic hierarchy process evaluation method of development potential of solar energy resources in highway areas
Author(s):
HAN Zhen-qiang1; 2;  LAN Chen-rui1;  HU Li-qun1; 2;  ZHOU Wei-dong3;  SHA Ai-min1; 2
(1. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China; 2. Key Laboratory of Highway Engineering in Special Region, Ministry of Education, Chang'an University, Xi'an 710064, Shaanxi, China; 3. Anhui Transport Consulting & Design Institute Co., Ltd., Hefei 230088, Anhui, China)
Keywords:
road engineering;  development of solar energy resources;  assessment of photovoltaic power generation potential;  analytic hierarchy process evaluation method;  economic evaluation of photovoltaic utilization;  power supply and demand matching
PACS:
U45
DOI:
10.19721/j.cnki.1671-8879.2024.05.006
Abstract:
To achieve large-scale development and utilization of solar energy resources in highway domains, a layered evaluation method for power generation potential was established based on the spatial distribution, physical composition, and energy characteristics of highway infrastructure. The highway infrastructure system was categorized into three types, connecting facilities, maintenance facilities, and service facilities. The composition of each type, the technical complexity of photovoltaic power generation applications, and the available boundary conditions were analyzed. Based on the solar irradiance calculation model, a layered evaluation calculation model for the power generation potential of highway solar energy resources was proposed, which includes three levels, preliminary potential evaluation, general potential evaluation, and application potential evaluation. The preliminary potential refered to the evaluation of regional solar irradiance levels, using the total regional horizontal irradiance, the stability of total horizontal irradiance, and the direct ratio of solar energy resources, weighted and scored according to their impact to form the evaluation indicators. The general potential involved evaluating the spatiotemporal distribution and overall economic benefits of photovoltaic power generation in the highway domain, with power generation calculated using the horizontal projection area within the highway domain and horizontal irradiance. The application potential involved the refined calculation of photovoltaic power generation for typical scenarios in the highway domain and the evaluation of the power supply and demand relationship. For key areas, inclined irradiance and the photovoltaic layout area were used to calculate power generation potential, and storage facility capacity configuration guidance was provided based on supply-demand matching constraints. An empirical analysis of a stratified evaluation method for photovoltaic power generation potential was conducted for a 150 km section of a highway in Shaanxi. The results show that the preliminary assessment of the photovoltaic development potential for this highway section scores an average of 71.18 points, exceeding the threshold of 60 points, suggesting a certain level of photovoltaic development potential. The general potential evaluation shows an estimated annual power generation of approximately 3.36×108 kW·h, with an overall input-output ratio of 0.68, indicating good economic feasibility for development. The application potential in service area 2 is estimated to have an annual power generation of about 1.14×106 kW·h, and under typical energy use conditions, it requires an energy storage capacity of 5.57×103 kW·h. The stratified evaluation method for assessing the development potential of roadside photovoltaic resources established in this paper is considered highly feasible and can provide theoretical support for the large-scale utilization and planning of solar clean energy in the highway transportation system.7 tabs, 10 figs, 35 refs.

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Last Update: 2024-10-20