Optimal Green Facility Planning - Implementation Of Organic Rankine Cycle System For Factory Waste Heat Recovery
As global industry developed rapidly, the energy demand also rises simultaneously. In the production process, there’s a lot of energy consumed in the process. Formally, the energy used in generating the heat in the production process. In the total energy consumption, 40% of the heat was used in proc...
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| Format: | Text |
| Language: | English |
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Zenodo
2013
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| Online Access: | https://dx.doi.org/10.5281/zenodo.1087358 https://zenodo.org/record/1087358 |
| Summary: | As global industry developed rapidly, the energy demand also rises simultaneously. In the production process, there’s a lot of energy consumed in the process. Formally, the energy used in generating the heat in the production process. In the total energy consumption, 40% of the heat was used in process heat, mechanical work, chemical energy and electricity. The remaining 50% were released into the environment. It will cause energy waste and environment pollution. There are many ways for recovering the waste heat in factory. Organic Rankine Cycle (ORC) system can produce electricity and reduce energy costs by recovering the waste of low temperature heat in the factory. In addition, ORC is the technology with the highest power generating efficiency in low-temperature heat recycling. However, most of factories executives are still hesitated because of the high implementation cost of the ORC system, even a lot of heat are wasted. Therefore, this study constructs a nonlinear mathematical model of waste heat recovery equipment configuration to maximize profits. A particle swarm optimization algorithm is developed to generate the optimal facility installation plan for the ORC system. : {"references": ["", "Bureau of Energy, Ministry of Economic Affairs, Energy Statistics\nHandbook, Taiwan, R.O.C., 2011.", "C.-R. Kuo, Y.-R. Li, and S.-W. Hsu, \"Product Development and\nApplications of Organic Rankine Cycle Power Units\", Mechatronic\nIndustry, vol. 355, 2012, pp. 93-100.", "Bureau of Energy, Ministry of Economic Affairs, Energy Recycle Policy\nNews Press, No. 2011-0902, Taiwan, R.O.C., 2011.", "C.-R. Kuo and S.-T. Luo, \"Low Temperature Heat Power Generation\",\nEnergy Monthly, vol. 7, 2012, pp. 31-34.", "D. Wei, X. Lu, Z. Lu, and J. Gu, \"Performance analysis and optimization\nof organic Rankine cycle (ORC) for waste heat recovery\", Energy\nConversion and Management, vol. 48, 2007, pp. 1113-1119.", "Y.-R. Lee, C.-R. Kuo, S.-W. Hsu and Y.-L. Kuo, \"Development of ORC\nfor Low Grade Thermal Energy Conversion\", Mechatronic Industry, vol.\n343, 2011, pp.138-148.", "U. Drescher and D. Br\u00fcggemann, \"Fluid selection for the Organic\nRankine Cycle (ORC) in biomass power and heat plants\", Thermal\nEngineering, vol. 27, 2007, pp.223-228.", "A. Durmaz, R. Pugh, \u015e. Yazici, K. Erdo\u011fan, and A. Kosan, \"Novel\napplication of Organic Rankine Cycle (ORC) technology for waste heat\nrecovery from reheat furnace evaporative cooling system\", in 2012\nAISTech conference, pp. 1625-1634", "C. Somayaji, L.M. Chamra, P.J. Mago, \"Performance analysis of different\nworking fluids for use in Organic Rankine Cycles\", Power and Energy,\nvol. 221, 2007, pp. 255-263.\n[10] K.-H. Chang, C.-R. Kuo, S.-W. Hsu, and C.-C. Wang, \"Analysis of a\n50kW Organic Rankine Cycle system and its heat exchangers\", Energy &\nHVAC Engineering, vol. 72, 2011, pp. 45-56.\n[11] J. B. Fenn, Engines, Energy, and Entropy: A Thermodynamics Primer,\nGlobal View Publishing, USA, 2003.\n[12] J.-Y. Lee, Finite time endoreversible maximum useful energy rate\nanalysis of thermodynamics cogeneration cycles, Unpublished\ndissertation, National Cheng Kung University, Taiwan, 2009.\n[13] M. Lukawski, Design and optimization of standardized Organic Rankine\nCycle power plant for European conditions, Unpublished dissertation,\nUniversity of Akureyri, Iceland, 2009.\n[14] L. Meng and A.M. Jacobi, \"Optimization of polymer tube-bundle heat\nexchangers using a genetic algorithm\", in ASME 2011 international\nmechanical engineering congress and exposition, 2011.\n[15] W. Xia and Z. Wu, \"An effective hybrid optimization approach for\nmulti-objective flexible job-shop scheduling problems\", Computer and\nIndustrial Engineering, vol. 48, 2005, pp. 409-425.\n[16] J. Kennedy and R. Eberhart, \"Particle swarm optimization\", in 1995 IEEE\nInternational Conference on Neural Networks, vol. 4, 1995,\npp.1942-1948."]} |
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