|Table of Contents|

Comprehensive energy efficiency evaluation method for expressway self-contained energy systems(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:
27-35
Research Field:
交通能源融合技术专题
Publishing date:

Info

Title:
Comprehensive energy efficiency evaluation method for expressway self-contained energy systems
Author(s):
LIU Yi-yan;  HAO Ting-nan;  LI Yan-bo;  LIU Bai-song
(School of Energy and Electrical Engineering, Chang'an University, Xi'an 710064, Shaanxi, China)
Keywords:
road engineering;  highway energy system;  energy efficiency evaluation;  analytic hierarchy process-entropy weight-CRITIC combination weighting method;  TOPSIS method
PACS:
U411
DOI:
10.19721/j.cnki.1671-8879.2024.05.003
Abstract:
In order to solve the evaluation problem of the special energy consumption scenario of the highway energy system, the analytic hierarchy process-entropy weight-CRITIC combination weighting method was used as the basic evaluation and analysis framework, and a comprehensive energy efficiency evaluation system for the highway self consistent energy system was established. Firstly, the comprehensive energy efficiency of the highway energy system was selected as the primary evaluation indicator. Energy efficiency, economic viability, and reliability were selected as secondary evaluation indicators, while 11 indicators including the comprehensive energy utilization rate and the proportion of renewable energy were chosen as tertiary evaluation indicators. The combined analytic hierarchy process-entropy weight-CRITIC weighting method was employed to calculate the weights of each tertiary evaluation indicator. Then, the TOPSIS method was used to evaluate the four systems based on the Euclidean distance between the selected indicators and the ideal and negative ideal solutions. Finally, four different systems were comprehensively evaluated using the analytic hierarchy process, entropy method, CRITIC method, and the combination of analytic hierarchy process-entropy weight-CRITIC method. The results show that the evaluation method in this paper assigns a higher weight to investment and operation costs, as well as energy purchasing costs, while placing lower emphasis on indicators such as load shedding rate, power outage recovery time, renewable energy utilization rate, and pollution treatment costs. By applying the TOPSIS method, the Euclidean distance and closeness degree of the four systems are calculated, and system 2 exhibits better economic and energy performance compared to the other systems, while its reliability is on par with the others. The proposed method allows for the full utilization of indicator data, reduces subjective preferences, and improves the objectivity of evaluation results. It demonstrates high scientific and practical value.7 tabs, 5 figs, 25 refs.

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Last Update: 2024-10-20