Multi-objective optimization of evaporator of organic Rankine cycle (ORC) for low temperature geothermal heat source

Muhammad Imran, Muhammad Usman, Byung Sik Park, Hyouck Ju Kim, Dong Hyun Lee

Research output: Contribution to journalJournal articleResearchpeer-review


Present study deals with the development of hydraulic and thermal design model of chevron type plate evaporator and optimization of its geometrical parameters for a low temperature geothermal ORC system. The optimization is performed using Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The primary geometrical parameters of evaporator are selected as decision variables which include length, width and plate spacing. The minimum cost of evaporator and minimum pressure drop are chosen as objective functions under restriction of constant amount of heat transfer. Since the objective functions are conflicting, a single value of decision variables cannot satisfy both objective functions simultaneously. Therefore optimization results are presented in the form of Pareto Front solution which is trade-off between pressure drop and cost of evaporator. The minimum cost evaporator is 1570$ corresponding to pressure drop of 125 kPa while the maximum cost is 6988$ corresponding to a pressure drop of 5.2 kPa. The sensitivity analysis shows that the plate length has promising effect on pressure drop and cost of evaporator. Furthermore, the effect of pressure drop on cost of evaporator and net power of ORC system is also investigated. The optimum value of allowable pressure drop is 30-40 kPa, corresponding to net power of 73-74 kW of ORC system and cost of evaporator 3000-3500$. (C) 2015 Elsevier Ltd. All rights reserved.
Original languageEnglish
JournalApplied Thermal Engineering
Pages (from-to)1-9
Publication statusPublished - 2015
Externally publishedYes


  • Evaporator
  • Geothermal energy
  • Multi objective genetic algorithm
  • Optimization
  • Organic Rankine cycle


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