Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology |
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| Institution: | 1. Department of Energy Science and Engineering, Indian Institute of Technology, Bombay, Powai, Mumbai 400076, India;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, De La Salle University, Manila, 2401 Taft Avenue, 1004 Manila, Philippines;1. Process Systems Engineering Centre (PROSPECT), Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia;2. Chemical Engineering Department, Federal University of Technology Minna, P.M.B 65 Minna, Nigeria;1. Department of Chemical and Environmental Engineering, Centre of Excellence for Green Technologies, University of Nottingham Malaysia Campus, Broga Road, 43500 Semenyih, Selangor, Malaysia;2. Chemical Engineering Department, Center for Engineering and Sustainable Development Research, De La Salle University, 2401 Taft Avenue, 1004 Manila, Philippines;1. Chemical Engineering Department, Center for Engineering and Sustainable Development Research, De La Salle University, 2401 Taft Avenue, 1004 Manila, Philippines;2. Department of Chemical & Environmental Engineering, Centre of Excellence for Green Technologies, The University of Nottingham, Malaysia Campus, Selangor 43500, Malaysia;3. Department of Energy Science and Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India;1. Process Systems Engineering Centre (PROSPECT), Research Institute for Sustainable Environment, Universiti Teknologi Malaysia (UTM), 81310, UTM Johor Bahru, Johor, Malaysia;2. Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia (UTM), 81310, UTM Johor Bahru, Johor, Malaysia;3. Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter u. 50/a, 1083 Budapest, Hungary |
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| Abstract: | Carbon capture and storage (CCS) techniques are considered as one of the promising approaches to reduce carbon dioxide (CO2) emissions from fossil fuel based power generation, which still accounts for a significant portion of greenhouse gas emissions in the world. CCS technology can be used to mitigate greenhouse gas emissions, with the additional advantage that it allows continuing use reliable and inexpensive fossil fuels. However, CCS retrofit entails major capital costs as well as a reduction of overall thermal efficiency and power output. Thus, it is essential for planning purposes to implement the minimal extent of CCS retrofit while meeting the specified carbon emission limits for the power sector. At the same time, it is necessary to plan for compensatory power generation capacity to offset energy losses resulting from CCS retrofit. In this paper, an algebraic targeting technique is presented for planning of grid-wide CCS retrofits in the power generation sector with compensatory power. The targeting technique is developed based on pinch analysis. In addition, the proposed methodologies are illustrated through case studies based on grid data in India and the Philippines. Sensitivity analysis is carried out to determine the suitable CCS technology and compensatory power source which satisfy emission limits. |
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| Keywords: | Carbon capture and storage (CCS) Energy planning Pinch analysis Process integration Targeting Greenhouse gas emissions |
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