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中国省级发电来源排名:基于决策者偏好的综合多准则框架。

Ranking provincial power generation sources of China: a decision-maker preferences based integrated multi-criteria framework.

机构信息

Center for Energy Environmental Management and Decision-making, China University of Geosciences, Wuhan, 430074, China.

School of Economics and Management, China University of Geosciences, Wuhan, 430074, China.

出版信息

Environ Sci Pollut Res Int. 2020 Oct;27(29):36391-36410. doi: 10.1007/s11356-020-09609-z. Epub 2020 Jun 19.

Abstract

The ranking of power generation sources is a very important prerequisite for power generation installation planning and power supply security. This study proposed a new multi-criteria system for ranking regional power generation sources in one country, including resources, economy, technology, environment, and society, using 11 sub-criteria. Based on the system, a novel decision-maker (DMs) preference-based integrated MCDM framework involving four methods (Visekriterijumsko Kompromisno Rangiranje (VIKOR), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), and Weighted Sum Method (WSM)) was developed for ranking six power generation sources (thermal, nuclear, wind, hydro, solar PV, and biomass) at the level of China's 30 provinces. Six different preferences of DMs are considered in the ranking according to five criteria. The results show that wind should be the power generation source given the top priority in most provinces in China whereas nuclear power and thermal power are the last choice for 26 provinces. Biomass is the most preferable power source for 17 provinces based on technological preference in which DMs regard the technology criteria is prior to all other criteria. Thermal power would still the preferred or secondary power source for provinces rich in coal resources such as Shanxi, Inner Mongolia, Henan, and Shaanxi.

摘要

发电来源的排名是发电安装规划和供电安全的一个非常重要的前提。本研究提出了一种新的多标准系统,用于对一个国家的区域发电来源进行排名,包括资源、经济、技术、环境和社会,使用了 11 个子标准。基于该系统,开发了一种新的决策者(DMs)偏好集成多标准决策分析(MCDM)框架,涉及四种方法(Visekriterijumsko Kompromisno Rangiranje(VIKOR)、Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)、Preference Ranking Organization Method for Enrichment Evaluations(PROMETHEE)和Weighted Sum Method(WSM)),用于对中国 30 个省份的六种发电来源(热能、核能、风能、水能、太阳能光伏和生物质能)进行排名。根据五个标准,在排名中考虑了 DMs 的六种不同偏好。结果表明,在中国大多数省份,风能应该是优先考虑的发电来源,而核能和热能是 26 个省份的最后选择。根据技术偏好,生物质能是 17 个省份最优选的能源,其中 DMs 认为技术标准优先于其他所有标准。对于山西、内蒙古、河南和陕西等煤炭资源丰富的省份来说,热能仍然是首选或次要的能源。

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