TY - JOUR
T1 - How to design organic Rankine cycle system under fluctuating ambient temperature
T2 - A multi-objective approach
AU - Hu, Shuozhuo
AU - Li, Jian
AU - Yang, Fubin
AU - Yang, Zhen
AU - Duan, Yuanyuan
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/11/15
Y1 - 2020/11/15
N2 - Affected by the fluctuating ambient temperature, the organic Rankine cycle (ORC) system deviates from the design point during operation, resulting in the deterioration of system performance. How to design the best ORC system considering the fluctuating ambient temperature is an important and challenging topic. This study proposes a multi-objective approach to determine the optimal design of the ORC system, based on hourly off-design operating conditions. The concept of optimal design ambient temperature (Ta,optd) is introduced to represent the optimal design of multiple system parameters. Its specific value, the relationship with the ambient characteristics, and the variation for three different target variables and two ORC configurations are revealed. The results of 15 cities in different climate zones indicate that, although the average value of annual ambient temperature (Tav) itself is not the best system design point, it significantly affects the value of Ta,optd. To maximize the lifetime electricity generation, Ta,optd should be designed to be 5 °C lower than Tav. In contrast, if the optimization objective is to maximize the net present value, Ta,optd should be 5 °C higher than Tav. Moreover, compared with the conventional approach where the design ambient temperature is 20 °C or Tav, using Ta,optd can increase the electricity production by 7% and 0.8%, respectively. Furthermore, the effects of electricity market parameters including the discount rate and electricity price on the optimal design are also revealed in the sensitivity analysis.
AB - Affected by the fluctuating ambient temperature, the organic Rankine cycle (ORC) system deviates from the design point during operation, resulting in the deterioration of system performance. How to design the best ORC system considering the fluctuating ambient temperature is an important and challenging topic. This study proposes a multi-objective approach to determine the optimal design of the ORC system, based on hourly off-design operating conditions. The concept of optimal design ambient temperature (Ta,optd) is introduced to represent the optimal design of multiple system parameters. Its specific value, the relationship with the ambient characteristics, and the variation for three different target variables and two ORC configurations are revealed. The results of 15 cities in different climate zones indicate that, although the average value of annual ambient temperature (Tav) itself is not the best system design point, it significantly affects the value of Ta,optd. To maximize the lifetime electricity generation, Ta,optd should be designed to be 5 °C lower than Tav. In contrast, if the optimization objective is to maximize the net present value, Ta,optd should be 5 °C higher than Tav. Moreover, compared with the conventional approach where the design ambient temperature is 20 °C or Tav, using Ta,optd can increase the electricity production by 7% and 0.8%, respectively. Furthermore, the effects of electricity market parameters including the discount rate and electricity price on the optimal design are also revealed in the sensitivity analysis.
KW - Ambient temperature fluctuation
KW - Dual-pressure evaporation
KW - Multi-objective optimization
KW - Off-design performance
KW - Organic Rankine cycle (ORC)
KW - System design
UR - http://www.scopus.com/inward/record.url?scp=85089564091&partnerID=8YFLogxK
U2 - 10.1016/j.enconman.2020.113331
DO - 10.1016/j.enconman.2020.113331
M3 - Article
AN - SCOPUS:85089564091
SN - 0196-8904
VL - 224
JO - Energy Conversion and Management
JF - Energy Conversion and Management
M1 - 113331
ER -