Abstract
Taking the ratio of heat transfer area to net power and heat recovery efficiency into account, a multi-objective mathematical model was developed for organic Rankine cycle (ORC). Working fluids considered were R123, R134a, R141b, R227ea and R245fa. Under the given conditions, the parameters including evaporating and condensing pressures, working fluid and cooling water velocities were optimized by simulated annealing algorithm. The results show that the optimal evaporating pressure increases with the heat source temperature increasing. Compared with other working fluids, R123 is the best choice for the temperature range of 100–180 °C and R141b shows better performance when the temperature is higher than 180 °C. Economic characteristic of system decreases rapidly with the decrease of heat source temperature. ORC system is uneconomical for the heat source temperature lower than 100 °C.
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References
SCHUSTER A, KARELLAS S, KAKARAS E, SPLIETHOFF H. Energetic and economic investigation of organic Rankine cycle applications[J]. Applied Thermal Engineering, 2008, 31(8): 1–37.
MAGO P J, CHAMRA L M, SRINIVASAN K, SOMAYAJI C. An examination of regenerative organic Rankine cycles using dry fluids [J]. Applied Thermal Engineering, 2008, 28(8): 998–1007.
SALEH B, KOGLBAUER G, WENDLAND M, FISCHER J. Working fluids for low-temperature organic Rankine cycles [J]. Energy, 2007, 32(7): 1210–1221.
LAKEW A A, BOLLAND O. Working fluids for low-temperature heat source [J]. Applied Thermal Engineering, 2010, 30(10): 1262–1268.
MADHAWA HETTIARACHCHI H D, MIHAJLO G, WILLIAM M W, YASUYUKI I. Optimum design criteria for an organic Rankine cycle using low-temperature geothermal heat sources [J]. Energy, 2007, 32(9): 1698–1706.
DAI Yi-ping, WANG Jiang-feng, GAO Lin, 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.
SCHUSTER A, KARELLAS S, AUMANN R. Efficiency optimization potential in supercritical organic Rankine cycles [J]. Energy, 2010, 35(2): 1033–1039.
ROY J P, MISHRA M K, MISRA A. Parametric optimization and performance analysis of a waste heat recovery system using organic Rankine cycle [J]. Energy, 2010, 35(12): 5049–5062.
ZOU En, LI Xiang-fei, LIU Ou-geng, ZHANG Tai-shan. Optimization design for parameters of FNN: Learning algorithm of chaos simulated annealing [J]. Journal of Central South University: Science and Technology, 2004, 35(3): 443–447. (in Chinese)
ZHOU Long, MOU Yi, YOU Xin-ge. Application of simulated annealing algorithm in image segmentation of pests in stored grain [J]. Journal of Huazhong University of Science and Technology: Natural Science Edition, 2010, 38(5): 72–74. (in Chinese)
YANG Shi-ming, TAO Wen-quan. Heat trans-fer [M]. Shanxi: Northwest Industrial University Press, 2006: 177. (in Chinese)
WEI Dong-hong, Lu Xue-sheng, LU Zheng, GU Jian-ming. Dynamic modeling and simulation of an organic Rankine cycle (ORC) system for waste heat recovery [J]. Applied Thermal Engineering, 2008, 28(10): 1216–1224.
JENSEN J M. Dynamic modeling of thermo-fluid systems with focus on evaporators for refrigeration [D]. Denmark: Department of Mechanical Engineering, Technical University of Denmark, 2003.
QIAN Song-wen. Heat exchanger design handbook [M]. Beijing: Chemical Industry Press, 2002: 68. (in Chinese)
PAPADOPOULOS A I, STIJEPOVIC M, LINKE P. On the systematic design and selection of optimal working fluids for organic Rankine cycle [J]. Applied Thermal Engineering, 2010, 30(6): 760–769.
ZHANG Sheng-jun, WANG Huai-xin, GUO Tao. Performance comparison and parametric optimization of sub-critical organic Rankine cycle (ORC) and trans-critical power cycle system for low-temperature geothermal power generation [J]. Applied Energy, 2011, 88(8): 2740–2754.
LIU B T, CHIEN K H, WANG C C. Effect of working fluids on organic Rankine cycle for waste heat recovery [J]. Energy, 2004, 29(8): 1207–1217.
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Foundation item: Project(2009GK2009) supported by Science and Technology Department Funds of Hunan Province, China; Project(08C26224302178) supported by Innovation Fund for Technology Based Firms of China
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Wang, Zq., Zhou, Nj., Zhang, Jq. et al. Parametric optimization and performance comparison of organic Rankine cycle with simulated annealing algorithm. J. Cent. South Univ. 19, 2584–2590 (2012). https://doi.org/10.1007/s11771-012-1314-9
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DOI: https://doi.org/10.1007/s11771-012-1314-9