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Estimating Emissions from Electricity Generation Using Electricity Dispatch Models: the Importance of System Operating Constraints

dc.contributor.authorRaichur, Vineet
dc.contributor.authorCallaway, Duncan
dc.contributor.authorSkerlos, Steve
dc.date.accessioned2014-10-07T21:01:46Z
dc.date.available2014-10-07T21:01:46Z
dc.date.issued2014-08-25
dc.identifier.urihttps://hdl.handle.net/2027.42/108711
dc.descriptionThis posting contains the supporting information for the research article titled “Estimating Emissions from Electricity Generation Using Electricity Dispatch Models: the Importance of System Operating Constraints” forthcoming in the Journal of Industrial Ecology. The model used in the article was set up in Matlab. The downloadable zipped folder contains all the Matlab files and spreadsheets with input data necessary to run the model. These files are currently set up to run the model to simulate electricity production scenario in Electric Reliability Council of Texas (ERCOT) region for the year 2004.en_US
dc.description.abstractThe article presents a modeling approach for estimating emissions (e.g., CO2) from electricity generation system mainly consisting of nuclear, coal, natural gas and hydropower generators in reaction to short-term changes to electricity demand. The modeling approach accounts for a set of Operating Constraints (OCs) including scheduled maintenance, forced outage, spinning reserves, fuel switching, seasonal output capacities, and seasonal hydro resource availability. It is found that these OCs are important to achieve reasonable estimates of electricity production by fuel type as well as associated emissions. This conclusion follows from an analysis of electric power generation by networks of power plants in Texas and New York in 2004 and 2005. The inputs to the model with operating constraints (OC Model) developed in this paper include hourly electricity demand, fuel costs, a list of power plants in the network, their basic generation characteristics, and the set of OCs developed in this paper. Given these inputs the OC Model estimates the hourly amount of electricity generation by each power plant in the network, which leads to estimates of marginal resource consumption and emissions. Our central result is that historical annual and monthly generation by fuel type and efficiency are well estimated by the OC Model and that the exclusion of OCs leads to poor estimates.en_US
dc.language.isoen_USen_US
dc.subjectElectricity Dispatchen_US
dc.subjectMarginal Emissionsen_US
dc.subjectVineet Raichur, Duncan S. Callaway, and Steven J. Skerlos, “Estimating Emissions from Electricity Generation Using Electricity Dispatch Models: the Importance of System Operating Constraints”, Journal of Industrial Ecology (Accepted for Publication, Under Review).en_US
dc.titleEstimating Emissions from Electricity Generation Using Electricity Dispatch Models: the Importance of System Operating Constraintsen_US
dc.typeSoftwareen_US
dc.subject.hlbsecondlevelMechanical Engineering
dc.subject.hlbtoplevelEngineering
dc.contributor.affiliationumStudent, Design Science Programen_US
dc.contributor.affiliationumProfessor, Mechanical Engineering Departmenten_US
dc.contributor.affiliationotherProfessor, Energy and Resources Group, University of California, Berkeleyen_US
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/108711/1/Electricity Dispatch OC Model.zip
dc.description.filedescriptionDescription of Electricity Dispatch OC Model.zip : The zipped folder contain all matlab files and spreadsheets with input data necessary to run the OC Model set up for ERCOT 2004 production scenario.
dc.owningcollnameMechanical Engineering, Department of


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