Abstract
This chapter provides an optimization model to aid with biomass co-firing decisions in coal fired power plants. Co-firing is a strategy that can be used to reduce greenhouse gas emissions at coal plants. Co-firing is a practice that impacts logistics-related costs, capital investments, plant efficiency, and tax credit collected. The linear mixed-integer programming model we present captures the relationship that exists between biomass usage and the corresponding costs and savings due to production of renewable electricity. We test the performance of the model proposed on a case study developed using data from the State of Mississippi. We perform a sensitivity analyses in order to evaluate the impact of biomass purchasing costs, biomass transportation costs, investment costs, and production tax credit on the cost of renewable electricity.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Caputo AC, Palumbo M, Pelagagge PM, Scacchia F (2005) Economics of biomass energy utilization in combustion and gasification plants: effects of logistic variables. Biomass Bioenergy 28:35–51
De S, Assadi M (2009) Impact of cofiring biomass with coal in power plants: a techno-economic assessment. Biomass Bioenergy 33:283–293
Energy Information Administration (2013a) Annual energy outlook 2013. Available on-line at: http://www.eia.gov/forecasts/aeo/MT-electric.cfm#solar−photo
Energy Information Administration (2013b) Annual energy outlook: energy markets summary. Available on-line at: http://www.eia.gov/forecasts/steo/tables/pdf/1tab.pdf
Energy Information Administration (2013c) Most states have renewable portfolio standards. http://www.eia.gov/todayinenergy/detail.cfm?id=4850
International Energy Agency (2009) World energy outlook. Available on-line at: http://www.worldenergyoutlook.org/media/weowebsite/2009/WEO2009.pdf
Knowledge Discovery Framework (2013) U.S. billion ton update. Available on line at: https://bioenergykdf.net/content/billiontonupdate
National Energy Technology Laboratory (2005) Available on-line at: http://www.netl.doe.gov/energyanalyses/hold/technology.html
Searcy E, Flynn P, Ghafoori E, Kumar A (2007) The relative cost of biomass energy transport. Appl Biochem Biotechnol 137:639–652
Sondreal EA, Benson SA, Hurley JP, Mann MD, Pavlish JH, Swanson ML (2001) Review of advances in combustion technology and biomass cofiring. Fuel Process Technol 71:7–38
Tillman DA (2000) Biomass cofiring: the technology, the experience, the combustion consequences. Biomass Bioenergy 19:365–384
Acknowledgments
This work was supported by NSF grant CMMI 1052671. This support is gratefully acknowledged.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Eksioglu, S.D., Karimi, H. (2014). An Optimization Model in Support of Biomass Co-firing Decisions in Coal Fired Power Plants. In: Pawlewski, P., Greenwood, A. (eds) Process Simulation and Optimization in Sustainable Logistics and Manufacturing. EcoProduction. Springer, Cham. https://doi.org/10.1007/978-3-319-07347-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-07347-7_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07346-0
Online ISBN: 978-3-319-07347-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)