Multi-objective optimizations and multi-criteria assessments for a nanofluid-aided geothermal PV hybrid systemShow others and affiliations
2023 (English)In: Energy Reports, E-ISSN 2352-4847, Vol. 9, p. 96-113Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
Elsevier Ltd , 2023. Vol. 9, p. 96-113
Keywords [en]
4E analysis, Geothermal-photovoltaic system, Multi-objective optimization, Nanofluids, Photovoltaic-ground source heat pump, Alumina, Aluminum oxide, Costs, Electric load dispatching, Exergy, Geothermal energy, Geothermal heat pumps, Hybrid systems, Life cycle, Nanofluidics, Nanoparticles, Solar energy, Solar panels, 4e analyse, Coupling systems, Groundsource heat pump (GSHP), Multi-objectives optimization, Optimization criteria, Photovoltaic systems, Photovoltaics, Multiobjective optimization
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:mdh:diva-61354DOI: 10.1016/j.egyr.2022.11.170ISI: 000904641000008Scopus ID: 2-s2.0-85143714991OAI: oai:DiVA.org:mdh-61354DiVA, id: diva2:1721222
2022-12-212022-12-212023-02-01Bibliographically approved