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Reducing the energy penalty of CO2 capture and compression using pinch analysis
Authors:Trent Harkin  Andrew Hoadley  Barry Hooper
Institution:1. Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC), the University of Melbourne, Melbourne, Vic 3010, Australia;2. Department of Chemical Engineering, Monash University, Clayton, Vic 3800, Australia;1. College of Environment and Safety Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China;2. Department of Chemical and Environmental Engineering/Centre of Excellence for Green Technologies, University of Nottingham Malaysia, Broga Road, 43500, Semenyih, Selangor, Malaysia;3. Chemical Engineering Department/Center for Engineering and Sustainable Development Research, De La Salle University, 2401 Taft Avenue, 0922, Manila, Philippines;1. School of Chemical Engineering, College of Engineering, University of Tehran, Tehran, Iran;2. Department of Energy Engineering, Graduate School of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran;1. Energy and Power Engineering Division, School of Engineering, Cranfield University, Bedford, Bedfordshire MK43 0AL, UK;2. Institute of Thermal Technology, Faculty of Power and Environmental Engineering, Silesian University of Technology, Gliwice, Poland;1. Zhejiang Gongshang University, China;2. Vilnius University, Lithuania
Abstract:Integration of CO2 capture and storage (CCS) into coal-fired power stations is seen as a way of significantly reducing the carbon emissions from stationary sources. A large proportion of the estimated cost of CCS is because of the additional energy expended to capture the CO2 and compress it for transport and storage, reducing the energy efficiency of the power plant. This study uses pinch analysis and heat integration to reduce the overall energy penalty and, therefore, the cost of implementing CCS for power plants where the additional heat and power for the CCS plant will be provided by the existing power plant. A combined pinch analysis and linear programming optimisation are applied to determine targets for the energy penalty of existing power plants. Two existing pulverised brown coal power plants with new CCS plants using solvent absorption are used as the basis for the study that show the energy penalty can be reduced by up to 50% by including effective heat integration. The energy penalty can be further reduced by pre-drying the coal.
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