dc.contributor.author | Bengoetxea Larrea, Aritz | |
dc.contributor.author | Fernández Andrés, Marta | |
dc.contributor.author | Pérez Iribarren, Estibaliz | |
dc.contributor.author | González Pino, Iker | |
dc.contributor.author | Las Heras Casas, Jesús | |
dc.contributor.author | Ercoreca González, Aitor | |
dc.date.accessioned | 2024-02-02T14:39:58Z | |
dc.date.available | 2024-02-02T14:39:58Z | |
dc.date.issued | 2020-02-20 | |
dc.identifier.citation | Energy Conversion and Management 208 : (2020) // Article ID 112549 | es_ES |
dc.identifier.issn | 0196-8904 | |
dc.identifier.uri | http://hdl.handle.net/10810/64588 | |
dc.description.abstract | Hybrid systems for space heating and Domestic Hot Water (DHW) production are an attractive option for buildings to decrease their CO2 emissions. In this research, the operation variables of an installation, composed of a Stirling engine, a condensing boiler and a thermal storage tank, were optimized to supply heating and DHW demands of a virtual detached house. For this purpose, in an experimental installation operated with common control set points, the hybrid system was tested during the week of highest demand. Then the installation was modelled in TRNSYS, calibrated and validated against the experimental data and, finally, different multi-objective optimizations were carried out on the model to optimize the operation set points. The results obtained show that solely by optimizing the control variables of the calibrated model of the actual installation gives a reduction of 7% in cost and an improvement of 3.9% in exergy efficiency. Thus, it can be concluded that simply optimizing control variables in this type of hybrid systems can lead to low cost reductions. By reducing the thermal losses of the calibrated model from the experimental 17% of energy consumed to 5% and then optimizing it, a reduction of 17% in cost and an improvement of 23% in exergy efficiency were obtained. Different model insulation levels were tested, and two interesting conclusions were found from this analysis: until the level of transmission losses is below 5% of the energy consumed, the optimized operation conditions lead to a negligible use of the thermal storage, after which it increases drastically. On the other hand, it can be concluded that the cost optimization that optimizes the adiabatic model of the analysed hybrid system is insensitive to the selected control variables | es_ES |
dc.description.sponsorship | This work was supported by the Spanish Economy and Competitiveness Ministry and the European Regional Development Fund through the IMMOEN project ‘Implementation of automated calibration and multi-objective optimization techniques applied to Building Energy Model simulations by means of monitored buildings’, project reference: ENE2015-65999-C2-2-R and ENE2015-65999-C2-1-R (MINECO/FEDER); by the Spanish Ministry of Science, Innovation and Universities and the European Regional Development Fund through the MONITHERM project ‘Investigation of monitoring techniques of occupied buildings for their thermal characterization and methodology to identify their key performance indicators’, project reference: RTI2018-096296-B-C22 (MCIU/AEI/FEDER, UE). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/ENE2015-65999-C2-2-R | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/ENE2015-65999-C2-1-R | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Micro-combined heat and power | es_ES |
dc.subject | hybrid installation | es_ES |
dc.subject | thermal insulation | es_ES |
dc.subject | thermal energy storage | es_ES |
dc.subject | multi-objective optimization | es_ES |
dc.title | Control strategy optimization of a Stirling based residential hybrid system through multi-objective optimization | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2020 Elsevier Ltd under CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) | es_ES |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0196890420300856?via%3Dihub | es_ES |
dc.identifier.doi | 10.1016/j.enconman.2020.112549 | |
dc.departamentoes | Máquinas y motores térmicos | es_ES |
dc.departamentoeu | Makina eta motor termikoak | es_ES |