Optimal Green Facility Planning - Implementation of Organic Rankine Cycle System for Factory Waste Heat Recovery
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Optimal Green Facility Planning - Implementation of Organic Rankine Cycle System for Factory Waste Heat Recovery

Authors: Chun-Wei Lin, Yu-Lin Chen

Abstract:

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.

Keywords: Green facility planning, organic rankine cycle, particle swarm optimization, waste heat recovery.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1087358

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1939

References:


[1] Bureau of Energy, Ministry of Economic Affairs, Energy Statistics Handbook, Taiwan, R.O.C., 2011.
[2] C.-R. Kuo, Y.-R. Li, and S.-W. Hsu, "Product Development and Applications of Organic Rankine Cycle Power Units", Mechatronic Industry, vol. 355, 2012, pp. 93-100.
[3] Bureau of Energy, Ministry of Economic Affairs, Energy Recycle Policy News Press, No. 2011-0902, Taiwan, R.O.C., 2011.
[4] C.-R. Kuo and S.-T. Luo, "Low Temperature Heat Power Generation", Energy Monthly, vol. 7, 2012, pp. 31-34.
[5] D. Wei, X. Lu, Z. Lu, and J. Gu, "Performance analysis and optimization of organic Rankine cycle (ORC) for waste heat recovery", Energy Conversion and Management, vol. 48, 2007, pp. 1113-1119.
[6] Y.-R. Lee, C.-R. Kuo, S.-W. Hsu and Y.-L. Kuo, "Development of ORC for Low Grade Thermal Energy Conversion", Mechatronic Industry, vol. 343, 2011, pp.138-148.
[7] U. Drescher and D. Brüggemann, "Fluid selection for the Organic Rankine Cycle (ORC) in biomass power and heat plants", Thermal Engineering, vol. 27, 2007, pp.223-228.
[8] A. Durmaz, R. Pugh, Ş. Yazici, K. Erdoğan, and A. Kosan, "Novel application of Organic Rankine Cycle (ORC) technology for waste heat recovery from reheat furnace evaporative cooling system", in 2012 AISTech conference, pp. 1625-1634
[9] C. Somayaji, L.M. Chamra, P.J. Mago, "Performance analysis of different working fluids for use in Organic Rankine Cycles", Power and Energy, vol. 221, 2007, pp. 255-263.
[10] K.-H. Chang, C.-R. Kuo, S.-W. Hsu, and C.-C. Wang, "Analysis of a 50kW Organic Rankine Cycle system and its heat exchangers", Energy & HVAC Engineering, vol. 72, 2011, pp. 45-56.
[11] J. B. Fenn, Engines, Energy, and Entropy: A Thermodynamics Primer, Global View Publishing, USA, 2003.
[12] J.-Y. Lee, Finite time endoreversible maximum useful energy rate analysis of thermodynamics cogeneration cycles, Unpublished dissertation, National Cheng Kung University, Taiwan, 2009.
[13] M. Lukawski, Design and optimization of standardized Organic Rankine Cycle power plant for European conditions, Unpublished dissertation, University of Akureyri, Iceland, 2009.
[14] L. Meng and A.M. Jacobi, "Optimization of polymer tube-bundle heat exchangers using a genetic algorithm", in ASME 2011 international mechanical engineering congress and exposition, 2011.
[15] W. Xia and Z. Wu, "An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems", Computer and Industrial Engineering, vol. 48, 2005, pp. 409-425.
[16] J. Kennedy and R. Eberhart, "Particle swarm optimization", in 1995 IEEE International Conference on Neural Networks, vol. 4, 1995, pp.1942-1948.