S. Andersson
Department of applied physics and electronics, Umeå, Sweden
J-U Sjögren
Department of applied physics and electronics, Umeå, Sweden
R. Östin
NCC Ltd, Stockholm, Sweden
T. Olofsson
Department of applied physics and electronics, Umeå, Sweden
I Morales
Andalusia Institute of Technology, Málaga, Spain
J. P. Jiménez
Andalusia Institute of Technology, Málaga, Spain
Arvind Chel
Centre for Energy Studies, Indian Institute of Technology Delhi, New Delhi, India
G. N. Tiwari
Centre for Energy Studies, Indian Institute of Technology Delhi, New Delhi, India
Priyantha D. C. Wijayatunga
Asian Development Bank, Manila, Philippines
Jae Woong Jung
Department of Materials Science and Engineering, Seoul National University, Seoul, Korea
Won Ho Ja
Department of Materials Science and Engineering, Seoul National University, Seoul, Korea
Jessica Webster
Natural Resources Canada, Ottawa, Canada
Brett Korteling
Vive le Monde Mapping, Gabriola Island, Canada
Brent Gilmour
The Canadian Urban Institute, Toronto, Canada
Katelyn Margerm
The Canadian Urban Institute, Toronto, Canada
John Beaton
Strait-Highlands Regional Development Agency, Port Hawkesbury, Canada
Martina Wikström
Chemical Engineering and Technology, Division of Energy Processes, Royal Institute of Technology, Stockholm, Sweden
Anders Folkesson
Sustainable Solutions, Buses and Coaches, Scania CV AB, Södertälje, Sweden
Per Alvfors
Chemical Engineering and Technology, Division of Energy Processes, Royal Institute of Technology, Stockholm, Sweden
Sharon J. Wagner
Carnegie Mellon University, Pittsburgh, PA, United States of America
Edward S. Rubin
Carnegie Mellon University, Pittsburgh, PA, United States of America
Christoph Stiller
Ludwig-Bölkow-Systemtechnik GmbH, Germany
Patrick Schmidt
Ludwig-Bölkow-Systemtechnik GmbH, Germany
Jan Michalski
Ludwig-Bölkow-Systemtechnik GmbH, Germany
Abdullrahman H. Maghrabi
National Centre For Mathematics and Physics, King Abdulaziz City For Science and Technology, Riyadh , Saudi Arabia
Vladimir I. Kuprianov
School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology Thammasat University, Thailand
Porametr Arromdee
School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology Thammasat University, Thailand
Songpol Chakritthakul
School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology Thammasat University, Thailand
Rachadaporn Kæwklum
Department of Mechanical Engineering, Faculty of Engineering, Burapha University, Thailand
Kasama Sirisomboon
Department of Mechanical Engineering, Faculty of Engineering and Industrial Technology, Silpakorn University, Thailand
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http://dx.doi.org/10.3384/ecp11057899Published in: World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden
Linköping Electronic Conference Proceedings 64:20, p. 899-906
With increasing liability for builders; the need for evaluation methods that focuses on the building’s performance and thus excludes the impact from residents’ behavior increases. This is not only of interest for new buildings but also when retrofitting existing buildings in order to reduce energy end-use.
The investigation in this paper is based on extensive measurements on two fairly representative type of buildings; a single family building in Ekerö; Stockholm built 2000 and two apartment buildings in Umeå (1964) in order to extract key energy performance parameters such as the building’s heat loss coefficient; heat transfer via the ground and heat gained from the sun and used electricity.
With access to pre-processed daily data from a 2-month periods; located close to the winter solstice; a robust estimate of the heat loss coefficient was obtained based on a regression analysis. For the single family building the variation was within 1% and for the two heavier apartment buildings an average variation of 2%; with a maximum of 4%; between different analyzed periods close to the winter solstice.
The gained heating from the used electricity in terms of a gain factor could not be unambiguously extracted and therefore could only a range for the heat transfer via ground be estimated. The estimated range for the transfer via ground for the two apartment buildings were in very good agreement with those calculated according to EN ISO 13 370 and corresponded to almost 10% of the heating demand at the design temperature. For the single family building with an insulated slab and parts of the walls below ground level; the calculations gave slightly higher transfer than what was obtained from the regression analysis. For the estimated gained solar radiation no comparison has been possible to make; but the estimated gain exhibited an expected correlation with the global solar radiation data that was available for the two apartment buildings.
Regression analysis; Heat loss coefficient; Heat transfer via ground; Gained heat
