Multi-objective optimizations and multi-criteria assessments for a nanofluid-aided geothermal PV hybrid system

Energy transition has brought widespread attentions to the concept of coupled utilization of the geothermal and solar energy. This paper provides an integrated assessment on developing a nanofluid geothermal-photovoltaic hybrid system that addresses the multi-objective optimization and multi-criteri...

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Main Authors: Zhengguang Liu, Xiaohu Yang, Hafiz Muhammad Ali, Ran Liu, Jinyue Yan
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722025586
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author Zhengguang Liu
Xiaohu Yang
Hafiz Muhammad Ali
Ran Liu
Jinyue Yan
author_facet Zhengguang Liu
Xiaohu Yang
Hafiz Muhammad Ali
Ran Liu
Jinyue Yan
author_sort Zhengguang Liu
collection DOAJ
description Energy transition has brought widespread attentions to the concept of coupled utilization of the geothermal and solar energy. This paper provides an integrated assessment on developing a nanofluid geothermal-photovoltaic hybrid system that addresses the multi-objective optimization and multi-criteria evaluation difficulties. The coupling system design and dispatch are optimized by considering the multiple objectives from the microscopic particles to the system. The life cycle cost, levelized cost of energy, levelized cost of heat, and the irreversibility are introduced in the optimization stage. The optimization parameters include the pipe arrangement, type of nanoparticles, and the concentration of the nanoparticles in nanofluids. A combined analysis including the energy, exergy, economy, and the environment is proposed to evaluate the various objectives and cases. The results show that the combination of 2% Al2O3 nanofluid and spiral pipe has the optimum performance. The monocrystalline solar panels with the nanofluids-aided heat pump create the least CO2 emissions (550 kg/year), the least LCOE (198.18 $), and the highest exergy efficiency. However, the LCOH (211.78 $/MWh) is still much high. Only when the electricity cost is higher than 0.11$/kWh, the proposed coupling system would show competitiveness. In summary, these results effectively prove the robustness and superiority of the hybrid system.
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spelling doaj.art-00c7732a679249ca8cf454182219a0b42023-07-13T05:28:33ZengElsevierEnergy Reports2352-48472023-12-01996113Multi-objective optimizations and multi-criteria assessments for a nanofluid-aided geothermal PV hybrid systemZhengguang Liu0Xiaohu Yang1Hafiz Muhammad Ali2Ran Liu3Jinyue Yan4Department of Energy and Electrical Engineering, Northwest A&F University, Yangling, Shaanxi, 712100, China; Institute of Building Environment and Sustainability Technology, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaInstitute of Building Environment and Sustainability Technology, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China; Corresponding authors.Mechanical Engineering Department, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi ArabiaInstitute of Scientific and Industrial Research, Osaka University, Mihogaoka 8-1, Ibaraki, Osaka 567-0047, JapanFuture Energy Profile, School of Business, Society and Engineering, Mälardalen University, Västerås, Sweden; Corresponding authors.Energy transition has brought widespread attentions to the concept of coupled utilization of the geothermal and solar energy. This paper provides an integrated assessment on developing a nanofluid geothermal-photovoltaic hybrid system that addresses the multi-objective optimization and multi-criteria evaluation difficulties. The coupling system design and dispatch are optimized by considering the multiple objectives from the microscopic particles to the system. The life cycle cost, levelized cost of energy, levelized cost of heat, and the irreversibility are introduced in the optimization stage. The optimization parameters include the pipe arrangement, type of nanoparticles, and the concentration of the nanoparticles in nanofluids. A combined analysis including the energy, exergy, economy, and the environment is proposed to evaluate the various objectives and cases. The results show that the combination of 2% Al2O3 nanofluid and spiral pipe has the optimum performance. The monocrystalline solar panels with the nanofluids-aided heat pump create the least CO2 emissions (550 kg/year), the least LCOE (198.18 $), and the highest exergy efficiency. However, the LCOH (211.78 $/MWh) is still much high. Only when the electricity cost is higher than 0.11$/kWh, the proposed coupling system would show competitiveness. In summary, these results effectively prove the robustness and superiority of the hybrid system.http://www.sciencedirect.com/science/article/pii/S2352484722025586Geothermal-photovoltaic system4E analysisPhotovoltaic-ground source heat pumpNanofluidsMulti-objective optimization
spellingShingle Zhengguang Liu
Xiaohu Yang
Hafiz Muhammad Ali
Ran Liu
Jinyue Yan
Multi-objective optimizations and multi-criteria assessments for a nanofluid-aided geothermal PV hybrid system
Energy Reports
Geothermal-photovoltaic system
4E analysis
Photovoltaic-ground source heat pump
Nanofluids
Multi-objective optimization
title Multi-objective optimizations and multi-criteria assessments for a nanofluid-aided geothermal PV hybrid system
title_full Multi-objective optimizations and multi-criteria assessments for a nanofluid-aided geothermal PV hybrid system
title_fullStr Multi-objective optimizations and multi-criteria assessments for a nanofluid-aided geothermal PV hybrid system
title_full_unstemmed Multi-objective optimizations and multi-criteria assessments for a nanofluid-aided geothermal PV hybrid system
title_short Multi-objective optimizations and multi-criteria assessments for a nanofluid-aided geothermal PV hybrid system
title_sort multi objective optimizations and multi criteria assessments for a nanofluid aided geothermal pv hybrid system
topic Geothermal-photovoltaic system
4E analysis
Photovoltaic-ground source heat pump
Nanofluids
Multi-objective optimization
url http://www.sciencedirect.com/science/article/pii/S2352484722025586
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