Cost and Performance Assumptions for Modeling Electricity Generation Technologies

Tidball, Rick¹  Bluestein, Joel¹  Rodriguez, Nick¹  Knoke, Stu¹ 

[1]ICF International, Fairfax, VA (United States)

关键词: cost and performance;    electricity generation;    power plants;    utility scale;    data;    model inputs;    model results;    learning by doing;    capacity factors;    levelized cost of energy (LCOE);    NEMS;    National Energy Modeling System;    EIA;    Energy Information Administrati;   

DOI  :  10.2172/1219277
RP-ID  :  NREL/SR--6A20-48595
PID  :  OSTI ID: 1219277
Others  :  Other: 5248

美国|英语

来源: SciTech Connect

【 摘 要 】

The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.