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dc.contributor.authorGonzález, Arnau
dc.contributor.authorRiba Ruiz, Jordi-Roger
dc.contributor.authorRius Carrasco, Antoni
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2016-12-16T10:23:20Z
dc.date.available2019-12-16T01:28:00Z
dc.date.issued2016-10-22
dc.identifier.citationGonzález, A., Riba, J., Rius, A. Combined heat and power design based on environmental and cost criteria. "Energy", 22 Octubre 2016, vol. 116, p. 922-932.
dc.identifier.issn0360-5442
dc.identifier.urihttp://hdl.handle.net/2117/98444
dc.description.abstractThis paper proposes a hybrid renewable energy system (HRES) consisting of photovoltaic (PV), wind and forest wood biomass power for cogeneration, and applies a multi-objective optimization methodology to study the trade-offs between life-cycle cost and environmental impact (EI) of such a system. The optimization is achieved by applying an operation strategy that maximizes the efficiency of the biomass power subsystem coupled with an optimization model based on the use of genetic algorithm (GA) to obtain the optimal system sizing. The system is designed to supply the electricity demand of a rural township and the thermal demand – both heating and sanitary hot water (SHW) – of a neighborhood in a district heating (DH) scheme. Indigenously available renewable energy sources (RES) are used, taking special care in the case of biomass to not exceed the self-growth rate of local tree species. Results show that by taking advantage of the thermal energy produced, the payback time of the investment required to install the system is significantly reduced, being profitable after 9 years. Furthermore, it is also observed that layouts with low costs have greater EI and vice versa. However, it is shown that moderate cost increases have great returns on EI reduction.
dc.format.extent11 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies::Recursos energètics renovables::Biomassa forestal i agrícola
dc.subjectÀrees temàtiques de la UPC::Energies::Recursos energètics renovables::Recursos solars fotovoltaics
dc.subjectÀrees temàtiques de la UPC::Energies::Energia eòlica
dc.subject.lcshRenewable energy sources
dc.subject.lcshBiomass energy
dc.subject.lcshPhotovoltaic power systems
dc.subject.lcshWind power
dc.subject.lcshGenetic algorithms
dc.titleCombined heat and power design based on environmental and cost criteria
dc.typeArticle
dc.subject.lemacEnergies renovables
dc.subject.lemacEnergia solar fotovoltaica
dc.subject.lemacEnergia de la biomassa
dc.subject.lemacEnergia eòlica
dc.subject.lemacAlgorismes genètics
dc.contributor.groupUniversitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
dc.contributor.groupUniversitat Politècnica de Catalunya. GIR - GIR Ambiental
dc.identifier.doi10.1016/j.energy.2016.10.025
dc.rights.accessOpen Access
drac.iddocument19332708
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorGonzález, A.; Riba, J.; Rius, A.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameEnergy
upcommons.citation.volume116
upcommons.citation.startingPage922
upcommons.citation.endingPage932


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