Cost and Performance Assumptions for Modeling Electricity Generation Technologies

Tidball, R. ; Bluestein, J. ; Rodriguez, N. ; Knoke, S.

关键词: AVAILABILITY;    CAPACITY;    CAPITALIZED COST;    ELECTRICITY;    HEAT RATE;    LIFETIME;    MAINTENANCE;    MARKET;    PERFORMANCE;    POWER PLANTS;    SIMULATION COST AND PERFORMANCE;    ELEC;   

DOI  :  10.2172/993653
RP-ID  :  NREL/SR-6A20-48595
PID  :  OSTI ID: 993653
Others  :  Other: KACX-8-88312-04
Others  :  TRN: US201024%%107

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.