Identifying Optimal Multi-state collaborations for reducing CO2 emissions by co-firing biomass in coal-burning power plants

• Published in: Computers & industrial engineering Vol. 101; pp. 403 - 415
• Main Authors: Dundar, Bayram, McGarvey, Ronald G., Aguilar, Francisco X.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.11.2016
• Subjects: Optimization; Renewable energy; Renewable energy; Optimization
• ISSN: 0360-8352
• DOI: 10.1016/j.cie.2016.09.028

•Identify min-cost approaches to reduce CO2 emissions via co-firing woody biomass.•Extend model to identify min-cost multi-state partnerships for emission reduction.•Apply model to 5 states, meets some (renewable energy) but not all (emission) goals. The US Environmental Protection Agency (EPA) has recently proposed a rule that aims to reduce carbon emissions from US coal-fired power plants. The proposed “Clean Power Plan” specifies state-specific rate-based goals to achieve a total US carbon emission reduction of 32% below 2005 levels by 2030. An increase in the co-firing of woody biomass with coal to generate biopower is one of the potential approaches that electricity providers could take to comply with EPA’s proposed rules. We develop a mixed integer linear programming (MILP) model to identify minimum-cost approaches for reducing CO2 emissions via co-firing biomass subject to spatially-explicit biomass availability constraints. An important feature of the EPA recommendations is an allowance for states to participate in multi-state compliance strategies. We extend the MILP model to optimize within a larger geographical framework that allows states to identify minimum-cost partnerships that meet aggregated emission reduction goals. We apply the MILP model to data for five Midwestern US states to determine the role that co-firing biomass could play in achieving their EPA-proposed emission reduction targets, and find that some states can meet their renewable energy generation targets through co-firing, although co-firing alone is not sufficient to achieve any state’s emission reduction targets.