Rights statement: This is the author’s version of a work that was accepted for publication in Sustainable Energy Technologies and Assessments. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Sustainable Energy Technologies and Assessments, 53, 2022 DOI: 10.1016/j.seta.2022.102684
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Dynamic simulation and exergy analysis of an Organic Rankine Cycle integrated with vapor compression refrigeration system
AU - Malwe, P.D.
AU - Shaikh, J.
AU - Gawali, B.S.
AU - Panchal, H.
AU - Dalkilic, A.S.
AU - Rahman, S.
AU - Alrubaie, A.J.
N1 - This is the author’s version of a work that was accepted for publication in Sustainable Energy Technologies and Assessments. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Sustainable Energy Technologies and Assessments, 53, 2022 DOI: 10.1016/j.seta.2022.102684
PY - 2022/10/31
Y1 - 2022/10/31
N2 - Organic Rankine Cycle (ORC) has consistently been demonstrated to be one of the most effective and reliable methods for extracting low-grade waste heat energy. The objective of this study is to analyze the integrated vapor compression refrigeration system (VCRS)-ORC system. A custom and verified dynamic model is built using MATLAB-Simulink. The methodology used by the dynamic model is to vary the system parameters of the VCRS system for 150 pairs of VCRS-ORC refrigerant combinations to calculate the Coefficient of Performance (COP), exergy efficiency, and exergy destruction for the integrated system. For dynamic simulation, the VCRS load, evaporator, and condenser temperatures are varied from 1 TR to 10 TR, 0 °C to 10 °C, and 45 °C to 60 °C, respectively. The best performance is obtained for the R141b–R1234ze(Z) refrigerant pair for ORC and VCRS respectively, since a maximum system overall exergy efficiency of 33.045 %, a maximum net COP of 4.593, and the least exergy destruction of 2.591 kW is obtained. The net COP increases from 3.9 to 5.5 as the evaporator temperature rises; the turbine work decreases from 84.5 W to 78.5 W. The integrated VCRS-ORC system has a 10.62 % higher COP than the VCRS alone for the best refrigerant pair.
AB - Organic Rankine Cycle (ORC) has consistently been demonstrated to be one of the most effective and reliable methods for extracting low-grade waste heat energy. The objective of this study is to analyze the integrated vapor compression refrigeration system (VCRS)-ORC system. A custom and verified dynamic model is built using MATLAB-Simulink. The methodology used by the dynamic model is to vary the system parameters of the VCRS system for 150 pairs of VCRS-ORC refrigerant combinations to calculate the Coefficient of Performance (COP), exergy efficiency, and exergy destruction for the integrated system. For dynamic simulation, the VCRS load, evaporator, and condenser temperatures are varied from 1 TR to 10 TR, 0 °C to 10 °C, and 45 °C to 60 °C, respectively. The best performance is obtained for the R141b–R1234ze(Z) refrigerant pair for ORC and VCRS respectively, since a maximum system overall exergy efficiency of 33.045 %, a maximum net COP of 4.593, and the least exergy destruction of 2.591 kW is obtained. The net COP increases from 3.9 to 5.5 as the evaporator temperature rises; the turbine work decreases from 84.5 W to 78.5 W. The integrated VCRS-ORC system has a 10.62 % higher COP than the VCRS alone for the best refrigerant pair.
KW - Dynamic simulation
KW - Exergy analysis
KW - Exergy efficiency
KW - Organic Rankine Cycle
KW - Vapor compression refrigeration system
KW - Waste heat
U2 - 10.1016/j.seta.2022.102684
DO - 10.1016/j.seta.2022.102684
M3 - Journal article
VL - 53
JO - Sustainable Energy Technologies and Assessments
JF - Sustainable Energy Technologies and Assessments
M1 - 102684
ER -