Simulation of combined cycle power plants using the ASPEN PLUS shell |
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| Institution: | 1. Division of Energy Technology, Department of Space, Earth and Environment, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden;2. Department of Chemical Engineering and Analytical Science, The University of Manchester, Sackville Street, M13 9PL, Manchester, United Kingdom;1. Department of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesha, 40132 Bandung, Indonesia;2. Department of Chemical with Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, 43500 Semenyih, Selangor, Malaysia;1. Department of Energy Science & Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India;2. Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India;1. Department of Electronics and Instrumentation Engineering, Vignan Institute of Technology and Science, Deshmukhi, Hyderabad 508284, India;2. Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India;3. Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India;1. Sustainable Energy and Environment Research Group, School of Chemical Engineering, University of Witwatersrand, PO Box 3, Johannesburg, Wits, 2050, South Africa;2. Department of Chemical Engineering Technology, University of Johannesburg, South Africa |
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| Abstract: | A computer simulation model in ASPEN PLUS shell has been developed to simulate the performance of IGCC and IGHAT cycle power plants. The model was used to study the effects of design and performance parameters on the efficiency and emissions from IGCC and IGHAT cycles. The simulation models are capable of performing mass, energy and exergy balances which may be used to trace system inefficiencies to their source component thereby providing insights into component interactions within the cycles and act as pointers to system optimization trade-offs. |
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