Konferensartikel

Predicting Thermal Losses in a Low-Energy Building

Jakob Pfaff
Department of Science and Industry Systems, University of South-Eastern Norway, Kongsberg, Norway

Elisabet Syverud
Department of Science and Industry Systems, University of South-Eastern Norway, Kongsberg, Norway

Dag A. H. Samuelsen
Department of Science and Industry Systems, University of South-Eastern Norway, Kongsberg, Norway

Ladda ner artikelhttps://doi.org/10.3384/ecp201769

Ingår i: Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland

Linköping Electronic Conference Proceedings 176:2, s. 9-14

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Publicerad: 2021-03-03

ISBN: 978-91-7929-731-2

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

Energy management of small-scale renewable energy systems (microgrid) requires control of the energy consumption. Commercial buildings are sized using energy consumption criteria from the building standards. The energy consumption of a building depends on a number of dynamic factors, including thermal loss, building climate control, and building utilization. This paper presents a simple model for predicting the thermal loss of a building. The basic simulation module is a single room model where the outer walls and windows are exposed to the ambient conditions without sun influx. We model the thermal loss based on building design data and validate the model using operational data for an actual low-energy building. The model prediction accuracy is within +/- 1°C for up to 7 days when predicting thermal losses in the building construction.

Nyckelord

energy management, powerhouse, thermal loss prediction, Matlab

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