Affiliation:
1. North China Electric Power University
Abstract
Organic Rankine Cycle (ORC) is widely used in the field of low temperature waste heat recovery, including solar, biomass and geothermal energy, among others. Based on the thermodynamic model of ORC system built up in Matlab, this study employ Genetic Algorithm (GA) on ORC system for parametric optimization and select a ratio of heat transfer area to total net power output as the performance evaluation criterion to predict the economy of system. R11, R113, R123 and isopentane are choosed as the working medium. The results show that the ORC system with isopentane has the minimum objective function value of 0.429m2/kw. The corresponding condensing temperature and degree of supercooling are generally located at lower boundary over their parametric design ranges, and the corresponding pinch point temperature difference are located at upper boundary. For different working fluids, there exist an optimum evaporating temperature and degree of superheat.
Publisher
Trans Tech Publications, Ltd.
Reference9 articles.
1. Dai Y, Wang J, Gao L. Parametric optimization and comparative study of organic Rankine cycle (ORC) for low grade waste heat recovery [J]. Energy Conversion and Management. 2009, 50(3): 576-582.
2. Bahaa Salehl, Gerald Koglbauer, Martin Wendland, et al. Working fluids for low-temperature organic Rankine cycles [J]. Energy. 2007, 32(7): 1210-1221.
3. Cayer E, Galanis N, Desilets M, et al. Analysis of a carbon dioxide transcritical power cycle using a low temperature source [J]. Applied Energy, 2009, 86(7-8): 1055-1063.
4. YingChun Zhao. et al. Parametric optimization of Organic Rankine Cycle for Middle-Grade Waste Heat Recovery by Ant Colony Algorithm [J]. Journal of Xi'an Jiaotong University, 2013, 47(11).
5. ZhiQi Wang. et al. Parametric optimization and performance comparison of organic Rankine cycle with simulated annealing algorithm [J]. Journal of Central South University, 2012, 19(9): 2584-2590.
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2 articles.
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