Structure of the Dynamic Integrated Economy/Energy/Emissions Model: Electricity Component, DIEM-Electricity
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2014-12-08
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This paper, a companion to NI WP 14-12, describes the structure of, and data sources for, the electricity component of the Dynamic Integrated Economy/Energy/Emissions Model (DIEM), which was developed at the Nicholas Institute for Environmental Policy Solutions at Duke University. The DIEM model includes a macroeconomic, or computable general equilibrium (CGE), component and an electricity component that gives a detailed representation of U.S. regional electricity markets. The electricity model (DIEM-Electricity) discussed in thus paper can be run as a stand-alone model or can be linked to the DIEM-CGE macroeconomic model to incorporate feedbacks among economy-wide energy policies and electricity generation decisions and interactions between electricity-sector policies and the rest of the U.S and global economies. Broadly, DIEM-Electricity is a dynamic linear-programming model of U.S. wholesale electricity markets that represents intermediate- to long-run decisions about generation, capacity planning, and dispatch of units. It provides results for generation, capacity, investment, and retirement by type of plant. It also determines wholesale electricity prices, production costs, fuel use, and CO2 emissions. Currently, the model can consider, at a national policy level, renewable portfolio standards, clean energy standards, caps on electricity-sector CO2 emissions, and carbon taxes.
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Ross, Martin (2014). Structure of the Dynamic Integrated Economy/Energy/Emissions Model: Electricity Component, DIEM-Electricity. Retrieved from https://hdl.handle.net/10161/31709.
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Martin Ross
Martin Ross is a senior research economist at Duke University's Nicholas Institute for Environmental Policy Solutions, specializing in environmental and energy economics and macroeconomic-simulation modeling.
Prior to joining the Nicholas Institute at the end of 2011, he worked with RTI International where he developed the Applied Dynamic Analysis of the Global Economy (ADAGE) model, which is used by the U.S. Environmental Protection Agency (EPA) to respond to Congressional requests for legislative analyses. The ADAGE model can investigate many types of economic, energy, environmental, and trade policies at the international, national, and U.S. regional levels. It is particularly useful for examining how climate-change mitigation policies limiting carbon dioxide (CO2) emissions from energy consumption and non-CO2 greenhouse gas (GHG) emissions will affect all sectors of the economy, altering industrial and residential energy consumption and efficiency. Research conducted for the U.S. EPA Climate Change Division, the Stanford Energy Modeling Forum, and the Pew Center on Global Climate Change has involved using the ADAGE model to estimate U.S. macroeconomic impacts of legislative proposals to reduce GHG emissions. Other modeling by Ross has included developing a detailed technology model of electricity markets to examine how criteria pollutant and GHG policies affect capacity planning decisions and generation costs.
Prior to joining RTI, Ross spent several years at Charles River Associates where he developed regional models to look at effects of climate-change mitigation policies and macroeconomic impacts of electric-utility legislation. In addition to his legislative analysis, Ross has advised industry groups such as the Electric Power Research Institute and Edison Electric Institute on economic and electricity modeling, and is published in The Energy Journal, Energy Economics, and Climactic Change, among others.
Ross holds both a doctoral and master's degree in economics from the University of Colorado, Boulder, and a bachelor's degree in economics from Michigan State University.
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