화학공학소재연구정보센터
Energy & Fuels, Vol.27, No.8, 4290-4301, 2013
Comparative Performance and Cost Assessments of Coal- and Natural-Gas-Fired Power Plants under a CO2 Emission Performance Standard Regulation
State and federal governments are considering performance standards to limit carbon dioxide (CO2) emissions from new fossil-fuel-fired electric-generating units. This study employs a newly developed computational tool to compare the performance and cost impacts of applying a technology-neutral CO2 emission performance standard to pulverized coal (PC) and natural gas combined cycle (NGCC) power plants and to evaluate the role of CO2 utilization in accelerating carbon capture and storage (CCS) deployments. We explore the impacts of performance standards between 1000 and 300 lb of CO2/MWh gross, a range more stringent than the recently proposed standard by the United Stated Environmental Protection Agency (U.S. EPA). Meeting such standard would require CO2 emission reductions of roughly 45-85% for new PC baseload plants and 0-65% for new NGCC baseload plants. Adding current amine-based CGS to meet these standards increases the plant levelized cost of electricity by 35-66% for PC plants and 0-26% for NGCC plants. On an absolute basis, meeting the most stringent standard of 300 lb/MWh gross would add $38.9/MWh to the cost of the PC plant but only $16.5/MWh for the NGCC plant. This cost advantage of NGCC plants relative to PC plants is strongly affected by plant capacity factor and natural gas price and could be diminished by gas prices above approximately $9.0/GJ for new baseload plants subject to a range of performance standards. Our analysis of the enhanced oil recovery (EOR) option shows that, at a price of roughly $40/metric ton of CO2, the revenue from selling the captured CO2 for the EOR could fully offset the capture cost for PC plants. Higher CO2 prices would be required to fully pay for CO2 capture at NGCC plants. Using the captured CO2 for EOR thus would facilitate continued coal use for low-carbon electricity generation, even under the most stringent performance standard modeled.