Thermo-mathematical modeling and multi-objective programming of the solar-assisted heat pump system coupled to the multi-criteria decision analysis: a case study in Iran
By: Nasouri, Masoud
.
Contributor(s): Hoveidi, Hassan.
Publisher: USA Springer 2022Edition: Vol.103(6), Dec.Description: 1469-1484p.Subject(s): Mechanical EngineeringOnline resources: Click here
In:
Journal of the institution of engineers (India): Series CSummary: This research intends to present the thermo-mathematical modeling and multiple-objective optimization (MOO) of the indirect-expansion solar-assisted heat pump (IDX-SAHP) system. After verification of the proposed IDX-SAHP with the experimental results, the system performance is examined under the mild zone of Iran in the course of the year. Next, the sensitivity analysis (SA) is implemented via the one-parameter-at-a-time (OPAT) technique to examine the influences of diverse variables. Then, the single-objective optimizations (SOOs) and MOO processes are implemented through single- and multiple-objective particle swarm optimization (MOPSO) algorithms to maximize the coefficient of performance (COP) and the collector efficiency (CE), individually and simultaneously. The results achieved by the SOOs depict that the design of IDX-SAHP as per the COP-based SOO offers a better system in contrast to the CE-based SOO. Furthermore, the optimal solutions obtained by the MOO are presented in the form of Prato curve to depict the COP and CE interactions. Afterward, to achieve the final optimum layout, the multi-criteria decision analysis (MCDA) method is integrated with the MOO through MatLab programming language. The optimization results demonstrate that MOO gives better comprehensive performance in contrast to the SOOs in such a way that although the CE of the maximized IDX-SAHP reduces a little from 52 to 47%, its COP increases greatly from 3 to 7, resulting in reducing the total working hour up to 282 h in contrast to the initial system, and consequently, the overall power use of the maximized system largely reduces. This research reveals the importance of parametric analysis, multi-objective optimization, and multi-criteria decision analysis during the IDX-SAHP design to increase the efficiency and to decrease the power use of the system by selecting the most appropriate design parameters of the system.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2023-0537 |
This research intends to present the thermo-mathematical modeling and multiple-objective optimization (MOO) of the indirect-expansion solar-assisted heat pump (IDX-SAHP) system. After verification of the proposed IDX-SAHP with the experimental results, the system performance is examined under the mild zone of Iran in the course of the year. Next, the sensitivity analysis (SA) is implemented via the one-parameter-at-a-time (OPAT) technique to examine the influences of diverse variables. Then, the single-objective optimizations (SOOs) and MOO processes are implemented through single- and multiple-objective particle swarm optimization (MOPSO) algorithms to maximize the coefficient of performance (COP) and the collector efficiency (CE), individually and simultaneously. The results achieved by the SOOs depict that the design of IDX-SAHP as per the COP-based SOO offers a better system in contrast to the CE-based SOO. Furthermore, the optimal solutions obtained by the MOO are presented in the form of Prato curve to depict the COP and CE interactions. Afterward, to achieve the final optimum layout, the multi-criteria decision analysis (MCDA) method is integrated with the MOO through MatLab programming language. The optimization results demonstrate that MOO gives better comprehensive performance in contrast to the SOOs in such a way that although the CE of the maximized IDX-SAHP reduces a little from 52 to 47%, its COP increases greatly from 3 to 7, resulting in reducing the total working hour up to 282 h in contrast to the initial system, and consequently, the overall power use of the maximized system largely reduces. This research reveals the importance of parametric analysis, multi-objective optimization, and multi-criteria decision analysis during the IDX-SAHP design to increase the efficiency and to decrease the power use of the system by selecting the most appropriate design parameters of the system.
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