An innovative Organic Rankine Cycle (ORC) based Ocean Thermal Energy Conversion (OTEC) system with performance simulation and multi-objective optimization. (25th December 2018)

• Record Type: Journal Article
• Authors: Wang, Meng; Jing, Rui; Zhang, Haoran; Meng, Chao; Li, Ning; Zhao, Yingru
• Is Part Of: Applied thermal engineering. Volume 145(2018)
• Page Start: 743
• Page End: 754
• Publication Date: 2018-12-25
• Subjects: OTEC -- ORC -- MOPSO -- Multi-objective optimization -- Pareto optimal solution; Heat engineering -- Periodicals; Heating -- Equipment and supplies -- Periodicals; Periodicals; 621.40205
• DOI: 10.1016/j.applthermaleng.2018.09.075
• Languages: English
• ISSNs: 1359-4311

Abstract

Highlights: Develop an integrated OTEC model considering local resource conditions. Optimize and analyze trade-offs between LCOE and exergy efficiency. Use LINMAP to identify Pareto optimal solution for six different working fluids. Rank six selected working fluids according to Pareto optimal solution. Abstract: Based on multi-objective particle swarm optimization (MOPSO) algorithm, with considering levelized cost of energy (LCOE) and exergy efficiency as two different objective functions, an innovative Organic Rankine Cycle (ORC) model based Ocean Thermal Energy Conversion (OTEC) system is investigated for trade-off Pareto optimization. In the present study, six key parameters including evaporating temperature, condensing temperature, warm seawater temperature at the outlet of evaporator, cool seawater temperature at the outlet of condenser, degree of superheat, and depth of cool seawater have been selected as decision variables. R717, R152a, R134a, R227ea, R600a and R601 are chosen as working fluids. Meanwhile, Linear Programming Technique for Multi-dimensional Analysis of Preference (LINMAP) is introduced in order to make decision for Pareto frontier. The results indicate that LCOE and exergy efficiency are two conflicting objectives, which are impossible to both achieve their optimal values simultaneously. According to the non-dominated sorting of Pareto optimal solution (POS) for the six working fluids, R717 and R601 have the best performance with 0.34 $/kWh of LCOE, 28.17% of exergy efficiency and 0.52 $/kWh of LCOE, 28.47% of exergy efficiency, respectively, followed by R152a, R600a and R134a which have relatively poor performance, but better than R227ea.