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dc.contributor.authorWegener, Moritz
dc.contributor.authorMalmquist, Anders
dc.contributor.authorIsalgué Buxeda, Antonio
dc.contributor.authorMartin, Andrew
dc.contributor.authorArranz Piera, Pol
dc.contributor.authorCamara Moreno, Osar
dc.contributor.authorVelo García, Enrique
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics
dc.date.accessioned2021-01-14T14:32:07Z
dc.date.available2022-11-01T01:32:33Z
dc.date.issued2020-08-07
dc.identifier.citationWegener, M. [et al.]. A techno-economic optimization model of a biomass-based CCHP/heat pump system under evolving climate conditions. "Energy conversion and management", 7 Agost 2020, vol. 223, p. 1-16.
dc.identifier.issn0196-8904
dc.identifier.urihttp://hdl.handle.net/2117/335352
dc.description.abstractAn innovative modelling approach for the design of biomass-based, solar-assisted combined cooling, heating, and power (CCHP) and heat pump (HP) systems for various climate scenarios is proposed in this work. The modelling approach is comprised of three sub-models (a demand sub-model, a supply sub-model, an economic sub-model) allowing for cost-optimal sizing of the system components based on net present cost (NPC). Subsequently a transient optimization model has been developed, which computes the technical and economic performance for each component size and for each ambient temperature of the different climate scenarios. Additionally, the model provides data on energy efficiency, exergy efficiency, and CO2-emissions of a given CCHP/HP system. The model has then been employed in a case study in order to analyse the performance of a CCHP/HP system for a tourist, museum, and guest accommodation structure located at the Montjuïc castle in Barcelona, Spain. The results show that the smallest simulated biomass-based CCHP system using a 25 kWe syngas-fuelled engine would reduce lifetime costs by 7% compared to an only-HP system while operating with a high total energy efficiency of over 60%. The combined CCHP/HP system would operate with an exergy efficiency of 18%. However, larger CCHP systems cannot offset the much higher capital costs despite increasing electricity sales. The findings also reveal that for the high climate change scenario the overall project costs drop by up to 2.5%, however the effects have little impact on the optimal CCHP/HP system sizing. Even the smallest CCHP system would reduce emissions already by 75% with an increasing trend for larger systems. Although CCHP/HP systems would lead to lower NPC and emissions, the high investment costs and the complexity of the combined system remain considerable obstacles.
dc.format.extent16 p.
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies::Energia de la biomassa
dc.subject.lcshHeat pumps
dc.subject.lcshBiomass energy
dc.subject.lcshBiomass
dc.subject.otherCCHP
dc.subject.otherheat pumps
dc.subject.otherbiomass
dc.subject.otherclimate scenarios
dc.titleA techno-economic optimization model of a biomass-based CCHP/heat pump system under evolving climate conditions
dc.typeArticle
dc.subject.lemacBombes de calor
dc.subject.lemacEnergia de la biomassa
dc.subject.lemacBiomassa
dc.contributor.groupUniversitat Politècnica de Catalunya. AIEM - Arquitectura, energia i medi ambient
dc.contributor.groupUniversitat Politècnica de Catalunya. EScGD - Engineering Sciences and Global Development
dc.identifier.doi10.1016/j.enconman.2020.113256
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S0196890420307998
dc.rights.accessOpen Access
local.identifier.drac29074604
dc.description.versionPostprint (author's final draft)
local.citation.authorWegener, M.; Malmquist, A.; Isalgue, A.; Martin, A.; Arranz, P.; Camara, O.; Velo, E.
local.citation.publicationNameEnergy conversion and management
local.citation.volume223
local.citation.startingPage1
local.citation.endingPage16


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