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- Title
Selecting working fluids in organic Rankine cycle (ORC) for waste heat applications and optimal cycle parameters for different hot source temperatures.
- Authors
Faghih, Saeed; Pourshaghaghy, Alireza
- Abstract
The high-temperature gas flows into the environment from many industries. Utilizing the Organic Rankine cycle (ORC) to generate electricity from this energy is worthwhile. In this study, the best thermodynamic conditions of ORC with 27 working fluids are presented. The considered temperatures for the heat sources were divided into low, medium, and high, with values of 50–90 ℃, 95–190 ℃, and 195–280 ℃, respectively. The optimization was carried out to get the maximum power through a genetic algorithm in MATLAB software. The optimization parameters included the inlet temperature of the turbine (Ttur), the pressure of the (Pcond), the pressure of the boiler (Pboil), and the outlet temperature of hot air (Thf, out). The results indicated that in low-temperature heat sources, R170 (144.13–209.87 kW) was the best fluid, and in the medium- and high-temperature heat sources, R227ea (1372.31–1533.86 kW) and R141b (6640.97–7524.6 kW) were the optimal fluids. Moreover, considering environmental issues and flammability, R744 (low-temperature), R1234ze (medium-temperature), and R245ca (high-temperature) were the best working fluids. In the low- and medium-temperature heat sources, T cri T hf , in for optimal fluids were 0.46–0.6 and 0.55–0.88, respectively. However, in the high-temperature heat source, this ratio was 0.72–0.78. As working fluids were selected, if T hf , in - T cri was above 100 ℃ or lower than 20 ℃, these working fluids were left out. In the future scope, finding a temperature for the heat source above which water is the suitable fluid compared to organic fluids and investigating the effect of changing heat carrier from air to combustion gases are proposed.
- Subjects
RANKINE cycle; WORKING fluids; WASTE heat; COMBUSTION gases; GAS flow; GENETIC algorithms; TEMPERATURE
- Publication
Journal of Thermal Analysis & Calorimetry, 2022, Vol 147, Issue 23, p13737
- ISSN
1388-6150
- Publication type
Academic Journal
- DOI
10.1007/s10973-022-11502-5