文献类型：期刊文献

中文题名：A review of uncertain factors and analytic methods in long-term energy system optimization models

作者：Siyu Feng[1];Hongtao Ren[1,3];Wenji Zhou[2]

机构：[1]School of Business,East China University of Science and Technology,Shanghai 200237,P.R.China;[2]School of Applied Economics,Renmin University of China,Beijing 100872,P.R.China;[3]International Institute for Applied Systems Analysis,Schlossplatz 1,Laxenburg A-2361,Austria

年份：2023

卷号：6

期号：4

起止页码：450

中文期刊名：Global Energy Interconnection

外文期刊名：全球能源互联网（英文版）

收录：CSTPCD;;Scopus;CSCD:【CSCD2023_2024】；

基金：supported by Global Energy Interconnection Group Co.,Ltd.:Assessment of China’s carbon neutrality implementation path and simulation research on policy tool combination(SGGEIG00JYJS2200059).

语种：英文

中文关键词：Long-term energy system optimization models;Uncertain factors;Uncertainty modeling

摘要：A larger number of uncertain factors in energy systems influence their evolution.Owing to the complexity of energy system modeling,incorporating uncertainty analysis to energy system modeling is essential for future energy system planning and resource allocation.This study focusses on long-term energy system optimization model.The important uncertain parameters in the model are analyzed and divided into policy,economic,and technical factors.This study specifically addresses the challenges related to carbon emission reduction and energy transition.It involves collecting and organizing relevant research on uncertainty analysis of long-term energy systems.Various energy system uncertainty modeling methods and their applications from the literature are summarized in this review.Finally,important uncertainty factors and uncertainty modeling methods for long-term energy system modeling are discussed,and future research directions are proposed.