LITHEUM. A web-based lighting and thermal urban model for city energy assessment
| UDC.coleccion | Investigación | |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | |
| UDC.departamento | Proxectos Arquitectónicos, Urbanismo e Composición | |
| UDC.grupoInv | Laboratorio de Bases de Datos (LBD) | |
| UDC.institutoCentro | CITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación | |
| UDC.journalTitle | Sustainable Cities and Society | |
| UDC.startPage | 106603 | |
| UDC.volume | 130 | |
| dc.contributor.author | Rodríguez-Álvarez, Jorge | |
| dc.contributor.author | Rodríguez Luaces, Miguel | |
| dc.contributor.author | Varela Rodeiro, Tirso | |
| dc.contributor.author | Alvaredo López, Natalia | |
| dc.contributor.author | Lamas Sardiña, Víctor Juan | |
| dc.date.accessioned | 2025-07-17T09:52:10Z | |
| dc.date.available | 2025-07-17T09:52:10Z | |
| dc.date.issued | 2025-07-15 | |
| dc.description | Financiado para publicación en acceso aberto: Universidade da Coruña/CISUG | |
| dc.description.abstract | [Abstract]: This study presents Litheum (LIghting and THErmal Urban Model), an online urban building energy modelling (UBEM) tool that integrates morphological sensitivity analysis with interactive scenario development. By leveraging Geographic Information Systems and open-source technologies, the model addresses the accessibility challenges of previous UBEM tools, offering an intuitive web-based application suitable for diverse users, from homeowners to planners and policymakers, without requiring prior energy modelling expertise. Litheum applies a novel algorithm to calculate solar obstruction, optimizing computational requirements while capturing the spatial and temporal dynamics of urban contexts, an area where data-driven models often fall short. The energy calculation methods follow the EN ISO 52016–1 standard, balancing precision, flexibility, and reproducibility for large-scale applications. Unlike detailed dynamic building simulation tools, Litheum is optimized for urban energy planning and policy development. Pilot studies in three Spanish cities—Pontevedra, A Coruña, and Madrid—demonstrated the model's adaptability across varying urban scales. Feedback informed enhancements, including a solar control mode functionality for warmer climates. The online platform's design enables seamless interaction and rapid deployment in diverse urban settings. Future efforts will focus on expanding the platform's deployment in additional cities, integrating artificial intelligence to infer key building characteristics, such as glazing ratios, to improve robustness and processing efficiency. Litheum exemplifies the potential of open-source UBEM tools to facilitate energy assessment, fostering widespread adoption and better informed planning decisions. | |
| dc.description.sponsorship | The research reported in this article was funded by MCIN/ AEI/10.13039/501100011033/ and by “European Union NextGenerationEU/PRTR, with the Grant TED2021–130779A-I00 The CITIC Database Lab authors acknowledge the support by the CITIC, as a center accredited for excellence within the Galician University System and a member of the CIGUS Network, receives subsidies from the Department of Education, Science, Universities, and Vocational Training of the Xunta de Galicia. Additionally, it is co-financed by the EU through the FEDER Galicia 2021–27 operational program (Ref. ED431G 2023/01); and by MCIN/ AEI/10.13039/501100011033 ([EXTRA-Compact: PID2020–114635RB-I00]; “NextGenerationEU”/PRTR [SIGTRANS: PDC2021–120917-C21], [PLAGEMIS: TED2021–129245B-C21]; EU/ERDF A way of making Europe [EarthDL: PID2022–141027NB-C21] partially funded by MCIN/AEI/10.13039/501100011033 and EU/ERDF A way of making Europe); by GAIN/Xunta de Galicia [GRC: ED431C 2021/53]; by UE FEDER [0079_ATEMPO_6_E], [0064_GRESINT_1_E] and by INE [CIDMEFEO]. Jorge Rodríguez-Álvarez acknowledges the support of the Ministry for Digital Transformation and Civil Service and Next-GenerationEU/RRF under Grant TSI-100925–2023–1 to support the development of the model with AI techniques; and MCIN/ AEI/10.13039/501100011033/and by ERDF A way of making Europe for the assistance in the continuation of the project for the adaptation of the model to rural areas with the Grant PID2021‐123961OA‐I00. Funding for open access charge: Universidade da Coruña/CISUG. | |
| dc.identifier.citation | Jorge Rodríguez-Álvarez, Miguel Ángel Rodríguez-Luaces, Tirso Varela-Rodeiro, Natalia Alvaredo-Lopez, Víıctor Lamas-Sardina, LITHEUM. A Web-based Lighting and Thermal Urban Model for City Energy Assessment, Sustainable Cities and Society (2025), doi: https://doi.org/10.1016/j.scs.2025.106603 | |
| dc.identifier.doi | 10.1016/j.scs.2025.106603 | |
| dc.identifier.issn | 2210-6715 | |
| dc.identifier.uri | https://hdl.handle.net/2183/45521 | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021–130779A-I00/ES/MODELO URBANO DE ENERGIA TERMICA Y LUMINICA/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114635RB-I00/ES/EXPLOTACION ENRIQUECIDA DE TRAYECTORIAS CON ESTRUCTURAS DE DATOS COMPACTAS Y GIS/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PDC2021-120917-C21/ES/SIGTRANS-UDC | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-129245B-C21/ES/PLATAFORMA PARA LA GENERACIÓN AUTOMÁTICA DE SISTEMAS DE INFORMACIÓN DE LA MOVILIDAD ENERGÉTICAMENTE EFICIENTES, BASADOS EN ESTRUCTURAS DE DATOS COMPACTAS Y GIS (PLAGEMIS) | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-141027NB-C21/ES/MODELADO, DESCUBRIMIENTO, EXPLORACION Y ANALISIS DE DATA LAKES MEDIOAMBIENTALES [UDC] | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MTDPF//TSI-100925-2023-1/ES/CÁTEDRA UDC-INDITEX DE IA EN ALGORITMOS VERDES | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123961OA-I00/ES/ENFOQUE SOCIAL PARA LA MEJORA AMBIENTAL DE ASENTAMIENTOS RURALES TRADICIONALES | |
| dc.relation.uri | https://doi.org/10.1016/j.scs.2025.106603 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Urban building energy models | |
| dc.subject | UBEM | |
| dc.subject | Urban morphology | |
| dc.subject | Energy assessment | |
| dc.subject | web-GIS | |
| dc.subject | Computer simulation | |
| dc.title | LITHEUM. A web-based lighting and thermal urban model for city energy assessment | |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication.latestForDiscovery | 25f9ef49-2b6a-4d4c-800e-6e58d7bd2763 |
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