TY - JOUR
T1 - Performance assessment and multi objective optimization of an Organic Rankine Cycle driven cooling air conditioning system
AU - Nasir, Muhammad Tauseef
AU - Ali, Muhammad Ansab
AU - Khan, Tariq S.
AU - Al-Hajri, Ebrahim
AU - Kadri, Muhammad Bilal
AU - Kim, Kyung Chun
N1 - Funding Information:
This research was supported by the International Research & Development Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT of Korea (NRF-2017K1A3A1A30084513) and partial support was also obtained from the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2011-0030013, No. 2018R1A2B2007117).
Funding Information:
This research was supported by the International Research & Development Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT of Korea ( NRF-2017K1A3A1A30084513 ) and partial support was also obtained from the National Research Foundation of Korea (NRF) grant funded by the Korean government ( MSIT ) (No. 2011-0030013 , No. 2018R1A2B2007117 ).
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/5/15
Y1 - 2019/5/15
N2 - Present work aims to investigate the thermal performance assessment of different combinations of working fluids for an Organic Rankine Cycle powered Vapor Compression Cycle (ORC-VCC) for air-conditioning applications. Analysis of system performance is conducted for a fixed cooling load of a small conditioned space having a sensible heat factor of 0.7, at different ambient conditions. A preliminary evaluation of the system at the baseline conditions was conducted considering the second law efficiency, overall heat capacity of exchangers, overall internal exergy destruction, and overall Coefficient of Performance. Afterwards, parametric study was performed for the best performing candidates from the preliminary analysis using second law efficiency and overall heat capacity of heat exchangers. The system parameters considered for the study include saturated temperatures of heat exchangers, ORC boiler superheat, pinch points and the sub-cooling of both the ORC and VCC condensers. Then, multi objective optimization was performed using Genetic Algorithm followed by multi-criteria decision-making using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to select the best optimal solutions from the Pareto front. Sixteen combinations comprising of four working fluids, R245fa, R600, R600a, and R134a were analyzed. The optimization results showed R245fa ORC-R600a VCC to be the best candidate at ambient conditions of 30 °C, while at 35 °C and 40 °C, R600a ORC-R245fa VCC was found to be the most suitable candidate.
AB - Present work aims to investigate the thermal performance assessment of different combinations of working fluids for an Organic Rankine Cycle powered Vapor Compression Cycle (ORC-VCC) for air-conditioning applications. Analysis of system performance is conducted for a fixed cooling load of a small conditioned space having a sensible heat factor of 0.7, at different ambient conditions. A preliminary evaluation of the system at the baseline conditions was conducted considering the second law efficiency, overall heat capacity of exchangers, overall internal exergy destruction, and overall Coefficient of Performance. Afterwards, parametric study was performed for the best performing candidates from the preliminary analysis using second law efficiency and overall heat capacity of heat exchangers. The system parameters considered for the study include saturated temperatures of heat exchangers, ORC boiler superheat, pinch points and the sub-cooling of both the ORC and VCC condensers. Then, multi objective optimization was performed using Genetic Algorithm followed by multi-criteria decision-making using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to select the best optimal solutions from the Pareto front. Sixteen combinations comprising of four working fluids, R245fa, R600, R600a, and R134a were analyzed. The optimization results showed R245fa ORC-R600a VCC to be the best candidate at ambient conditions of 30 °C, while at 35 °C and 40 °C, R600a ORC-R245fa VCC was found to be the most suitable candidate.
KW - Air conditioning
KW - Low grade heat
KW - Multi-objective optimization
KW - Organic Rankine Cycle
KW - Vapor compression cycle
UR - http://www.scopus.com/inward/record.url?scp=85062449794&partnerID=8YFLogxK
U2 - 10.1016/j.enbuild.2019.03.012
DO - 10.1016/j.enbuild.2019.03.012
M3 - Article
AN - SCOPUS:85062449794
SN - 0378-7788
VL - 191
SP - 13
EP - 30
JO - Energy and Buildings
JF - Energy and Buildings
ER -