Impacts of considering electric sector variability and reliability in the MESSAGE model

被引：79

作者：

Sullivan, Patrick ^{[1
]}

Krey, Volker ^{[2
]}

Riahi, Keywan ^{[2
]}

机构：

[1] Natl Renewable Energy Lab, Golden, CO 80401 USA

[2] Int Inst Appl Syst Anal, Laxenburg, Austria

来源：

ENERGY STRATEGY REVIEWS | 2013年 / 1卷 / 03期

关键词：

Variable renewable technologies; Electric sector reliability; Grid integration; Optimization model; SCENARIOS; MITIGATION; ENERGY;

D O I：

10.1016/j.esr.2013.01.001

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper introduces a methodology for incorporating metrics for electric-sector reliability into a global Integrated Assessment Model. Using load, resource availability, and system dispatch data with high temporal resolution, we designed a set of reduced-form constraints that guide investment and usage decisions among power plants in IIASA's MESSAGE model. The analysis examines how such reliability metrics impact modeled system build-out, including in scenarios with greenhouse gas (GHG) limits. Scenarios show how carefully chosen model constraints can allow a flexible approach to treating integrations concerns of variable renewable technologies into the electric sector in a high-level energy model. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：157 / 163

页数：7

共 23 条

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