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Development of a space heating model suitable for the automated model generation of existing multifamily buildings: a case study in Nordic climate
Mälardalens högskola, Framtidens energi, Västerås, Sweden; Eskilstuna Kommunfastighet AB, Eskilstuna, Sweden.ORCID iD: 0000-0003-3530-0209
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Energy Systems and Building Technology.ORCID iD: 0000-0001-9076-0801
Mälardalens högskola, Framtidens energi, Västerås, Sweden.ORCID iD: 0000-0002-8034-4043
2019 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 12, no 3, article id 485Article in journal (Refereed) Published
Abstract [en]

Building energy performance modeling is essential for energy planning, management, and efficiency. This paper presents a space heating model suitable for auto-generating baseline models of existing multifamily buildings. Required data and parameter input are kept within such a level of detail that baseline models can be auto-generated from, and calibrated by, publicly accessible data sources. The proposed modeling framework consists of a thermal network, a typical hydronic radiator heating system, a simulation procedure, and data handling procedures. The thermal network is a lumped and simplified version of the ISO 52016-1:2017 standard. The data handling consists of procedures to acquire and make use of satellite-based solar radiation data, meteorological reanalysis data (air temperature, ground temperature, wind, albedo, and thermal radiation), and pre-processing procedures of boundary conditions to account for impact from shading objects, window blinds, wind- and stack-driven air leakage, and variable exterior surface heat transfer coefficients. The proposed model was compared with simulations conducted with the detailed building energy simulation software IDA ICE. The results show that the proposed model is able to accurately reproduce hourly energy use for space heating, indoor temperature, and operative temperature patterns obtained from the IDA ICE simulations. Thus, the proposed model can be expected to be able to model space heating, provided by hydronic heating systems, of existing buildings to a similar degree of confidence as established simulation software. Compared to IDA ICE, the developed model required one-thousandth of computation time for a full-year simulation of building model consisting of a single thermal zone. The fast computation time enables the use of the developed model for computation time sensitive applications, such as Monte-Carlo-based calibration methods. 

Place, publisher, year, edition, pages
MDPI, 2019. Vol. 12, no 3, article id 485
Keywords [en]
Energy performance modeling, Gray box, ISO 52016-1, Meteorological reanalysis data, Satellite-based solar radiation data, Atmospheric temperature, Buildings, Computer software, Data handling, Energy efficiency, Heating equipment, Hot water heating, Ice, Monte Carlo methods, Solar radiation, Space heating, Energy performance, Reanalysis, Solar radiation data, Climate models
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:hig:diva-29506DOI: 10.3390/en12030485ISI: 000460666200153Scopus ID: 2-s2.0-85060858444OAI: oai:DiVA.org:hig-29506DiVA, id: diva2:1307989
Available from: 2019-02-15 Created: 2019-04-30 Last updated: 2019-08-13Bibliographically approved

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Lundström, LukasAkander, JanZambrano, Jesus

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