dc.creator | Ortiz Machado, Diogo | es |
dc.creator | Chicaiza Salazar, William David | es |
dc.creator | Escaño González, Juan Manuel | es |
dc.creator | Gallego Len, Antonio Javier | es |
dc.creator | Andrade, Gustavo A. de | es |
dc.creator | Normey Rico, Julio Elías | es |
dc.creator | Bordons Alba, Carlos | es |
dc.creator | Camacho, Eduardo F. | es |
dc.date.accessioned | 2023-04-20T09:16:32Z | |
dc.date.available | 2023-04-20T09:16:32Z | |
dc.date.issued | 2023-03 | |
dc.identifier.citation | Ortiz Machado, D., Chicaiza Salazar, W.D., Escaño González, J.M., Gallego Len, A.J., Andrade, G.A.d., Normey Rico, J.E.,...,Camacho, E.F. (2023). Digital twin of a Fresnel solar collector for solar cooling. Applied Energy, 339 (120944). https://doi.org/10.1016/j.apenergy.2023.120944. | |
dc.identifier.issn | 0306-2619 | es |
dc.identifier.issn | 1872-9118 | es |
dc.identifier.uri | https://hdl.handle.net/11441/144684 | |
dc.description.abstract | This work develops digital entities of a commercial Fresnel Solar Collector (FSC) installed in an absorption cooling plant. The objective is to create and validate models that describe the FSC dynamics across its whole operation range during the day and the night. Thus, the temperatures range between operation temperature of 180°
C and almost ambient temperature due to overnight heat losses. In the same sense, the flow range between zero to 13m³/h
. The idea is that the digital twin will aid start-up and shut-down optimization and control design reliability. The paper employs two modeling approaches, then evaluates their twinning/adaptation time and performance validation. One model uses phenomenological modeling through Partial Differential Equations (PDE) and parameters identification, and another uses a data-driven technique with Adaptive Neuro-Fuzzy Inference Systems (ANFIS). The available measurement data sets comprise 25 days of operation with a sampling time of 20 s which, after outlier removal, filtering and treatment, resulted in 108416 samples. The validation considers six separate operating days. Results show that both models can twinning/adapt considering measured data. The models present pretty good results and are suitable for control and optimization. Besides, this is the first paper considering the FSC mirror defocus action on dynamic modeling and validation. | es |
dc.format | application/pdf | es |
dc.format.extent | 14 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Applied Energy, 339 (120944). | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Absorption plant | es |
dc.subject | Adaptive neuro fuzzy inference system | es |
dc.subject | Distributed parameter dynamic model | es |
dc.subject | Dynamic modeling | es |
dc.subject | Validation | es |
dc.title | Digital twin of a Fresnel solar collector for solar cooling | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | PID2019-104149RB-I00/10.13039/501100011033 | es |
dc.relation.projectID | EU H2020 No 958339 | es |
dc.relation.projectID | OCONTSOLAR (789051) | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0306261923003082 | es |
dc.identifier.doi | 10.1016/j.apenergy.2023.120944 | es |
dc.contributor.group | Universidad de Sevilla. TEP116: Automática y Robótica Industrial | es |
dc.journaltitle | Applied Energy | es |
dc.publication.volumen | 339 | es |
dc.publication.issue | 120944 | es |
dc.contributor.funder | The Agencia Estatal de Investigación (AEI) of the Spanish Ministry of Science and Innovation - grant PID2019-104149RB-I00/10.13039/501100011033 | es |
dc.contributor.funder | European Union’s Horizon 2020 research and innovation programme under grant agreement No 958339 | es |
dc.contributor.funder | European Research Council under Advanced Research Grant OCONTSOLAR (789051) | es |