scholarly journals Multi-Objective Optimization of Organic Rankine Cycle Power Plants Using Pure and Mixed Working Fluids

Energies ◽  
2016 ◽  
Vol 9 (5) ◽  
pp. 322 ◽  
Author(s):  
Jesper Andreasen ◽  
Martin Kærn ◽  
Leonardo Pierobon ◽  
Ulrik Larsen ◽  
Fredrik Haglind
Keyword(s):  
Power Plants ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Multi Objective Optimization ◽  
Working Fluids ◽  
Multi Objective

scholarly journals Multi-Objective Optimization of Organic Rankine Cycle for Low-Grade Waste Heat Recovery

2019 ◽  
Vol 118 ◽  
pp. 03053
Author(s):  
Ruijie Wang ◽  
Jingquan Zhao ◽  
Lei Zhu ◽  
Guohua Kuang
Keyword(s):  
Waste Heat ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Exergy Efficiency ◽  
Condensation Temperature ◽  
Low Grade ◽  
Multi Objective Optimization ◽  
Working Fluids ◽  
Multi Objective ◽  
Evaporation Temperature

The organic Rankine cycle (ORC) is considered as one of the most viable technology to recover low-grade waste heat. A multi-objective optimization model is established to simultaneously derive the maximum exergy efficiency and the minimum electricity production cost (EPC) of a specific ORC system by employing the genetic algorithm (GA). Evaporation temperature and condensation temperature are selected as decision variables. At first, variations of exergy efficiency and EPC with evaporation temperature and condensation temperature are investigated respectively using R245fa, R245ca, R600, R600a, R601 and R601a as working fluids. Subsequently, a multi-objective optimization is performed and the Pareto frontiers for various working fluids are obtained. Results indicate that performance of the specific ORC system with R245fa as working fluid is better that with other working fluids.

scholarly journals Multi-objective optimization of ORC geothermal conversion system integrated with life cycle assessment

2018 ◽  
Vol 70 ◽  
pp. 01012
Author(s):  
Dominika Matuszewska ◽  
Marta Kuta ◽  
Jan Górski
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Geothermal System ◽  
Geothermal Systems ◽  
Multi Objective Optimization ◽  
Geothermal Resources ◽  
Multi Objective ◽  
Conversion Technology

This paper details the development of a systematic methodology to integrated life cycle assessment (LCA) with thermo-economic models and to thereby identify the optimal exploitation schemes of geothermal resources. Overall geothermal systems consist of a superstructure of geothermal exploitable resources, a superstructure of conversion technology and multiple demand profiles for Swiss city. In this paper, an enhanced geothermal system has been chosen as exploitable resources. The energy conversion technology used in modelling is an organic Rankine cycle, which can be used to supply heat and electricity. In the Swiss case four demand profiles periods are considered: summer, interseason, winter and extreme winter, the city Nyon serving for the example case study. The multi-objective optimization system, that uses an evolutionary algorithm, is employed to determine the optimal scheme for some of the prepared models, with exergy efficiency and environmental impact as objectives.

Sign in / Sign up

Export Citation Format

Share Document