A multi-sector intertemporal optimization approach to assess the GHG implications of U.S. forest and agricultural biomass electricity expansion |
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| Authors: | Gregory S Latta Justin S Baker Robert H Beach Steven K Rose Bruce A McCarl |
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| Institution: | 1. Oregon State University, Department of Forest Engineering, Resources and Management, Corvallis, OR 97331, USA;2. Research Triangle Institute, Agricultural, Resource & Energy Economics and Policy Program, Research Triangle Park, NC 27709, USA;3. Electric Power Research Institute, Energy and Environmental Analysis Research Group, 2000 L Street NW, Suite 805, Washington, DC 20036, USA;4. Texas A&M University, Department of Agricultural Economics, College Station, TX 77843, USA |
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| Abstract: | This study applies an intertemporal partial equilibrium model of the U.S. Forest and Agricultural sectors to assess the market, land use, and greenhouse gas (GHG) implications of biomass electricity expansion. Results show how intertemporal optimization procedures can yield different biomass feedstock portfolios and GHG performance metrics at different points in time. We examine the implications of restricting feedstock eligibility, land use change, and commodity substitution to put our results in the context of previous forest-only modeling efforts. Our results highlight the importance of dynamic considerations and forest and agricultural sector interactions on projecting the GHG effects of biomass electricity expansion in the U.S. |
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| Keywords: | Renewable electricity Bioenergy Forest sector modeling Land-use change |
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