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Product Details


TitleCost and Performance Assumptions for Modeling Electricity Generation Technologies
DescriptionThe 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.
File Name 
Product TypeReport/Plans
URL http://www.eere.energy.gov/analysis/pdfs/48595.pdf
Num of Pages211
Document Size1.65 MB
First Received11/17/2011 12:00:00 AM
Program NameEnergy Analysis
Keywordscost 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 Administration; MARKAL; Market Allocation International Energy Agency; ReEDS; Regional Energy Deployment System; MiniCAM; Mini Climate Assessment Model; IPM; Integrated Planning Model; MERGE; Model for Estimating the Regional and Global Effects of Greenhouse Gas Reductions
Print Date11/1/2010 12:00:00 AM
Product ID5248
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