V. Ingram
Heriot-Watt University, Edinburgh, UK
P. F. G. Banfill
Heriot-Watt University, Edinburgh, UK
C. Kennedy
Historic Scotland, Edinburgh, UK
A. Almodares
University of Isfahan, Isfahan, Iran
M. S. Hatamipour
University of Isfahan, Isfahan, Iran
Alvaro Gomes
Department of Electrical Engineering and Computers – University of Coimbra, Coimbra, Portugal \ INESC Coimbra, Coimbra, Portugal
Luís Pires
Department of Electrical Engineering and Computers – University of Coimbra, Coimbra, Portugal
Maria-Christina P. Georgiadou
Centre for Sustainable Development, Engineering Department, University of Cambridge, United Kingdom
Theophilus Hacking
Development Director, University of Cambridge Programme for Sustainability Leadership, United Kingdom
Kwanchai Kraitong
School of Computing, Engineering and Information Sciences, Northumbria University, Newcastle upon tyne, UK
Khamid Mahkamov
School of Computing, Engineering and Information Sciences, Northumbria University, Newcastle upon tyne, UK
Janet Stephenson
Centre for the Study of Agriculture, Food and Environment, University of Otago, Dunedin, New Zealand
Rob Lawson
Marketing Department, University of Otago, Dunedin, New Zealand
Gerry Carrington
Physics Department, University of Otago, Dunedin, New Zealand
Barry Barton
School of Law, University of Waikato, Hamilton, New Zealand
Paul Thorsnes
Economics Department, University of Otago, Dunedin, New Zealand
Jaap C. Jansen
Energy research Centre of the Netherlands , Petten, the Netherlands
Sander M. Lensink
Energy research Centre of the Netherlands , Petten, the Netherlands
Adriaan J. van der Welle
Energy research Centre of the Netherlands , Petten, the Netherlands
Download article
http://dx.doi.org/10.3384/ecp110572018Published in: World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden
Linköping Electronic Conference Proceedings 57:36, p. 2018-2025
Published: 2011-11-03
ISBN: 978-91-7393-070-3
ISSN: 1650-3686 (print), 1650-3740 (online)
All dwellings in the UK are required to have an Energy Performance Certificate (EPC) when sold or let; giving potential owners or tenants information on the cost and associated CO2 emissions of heat and power. The Scottish traditional construction of solid stone walls tends to get unfavourable EPC ratings; leading to a perception that ‘old is cold’: this paper uses alternative calculation methods to question that perception.
The difference in results from steady-state and dynamic energy assessment methods is investigated for a dwelling with high thermal mass. The study focuses on modelled data and concludes that SAP 2009’s monthly assessment estimates lower energy use and therefore gives a more favourable EPC rating than the annually based RdSAP 2005; and further that the application of dynamic simulation models may not be the optimum solution to further understanding energy efficiency of this type of dwelling.
[1] SHCS. 2010. Scottish House Condition Survey: Key findings for 2009. http://www.scotland.gov.uk/Topics/Statistics/SHCS/Downloads Accessed 14 December 2010
[2] BRE; 2010a. The Government’s Standard Assessment Procedure for Energy Rating of Dwellings. 2009 Edition. Available at http://www.bre.co.uk/sap2009/page.jsp?id=1642 Accessed 3 May 2010
[3] BRE. 2009. Standard Assessment Procedure 2005 v9.83. Available at www.bre.co.uk/sap2005 Accessed 12 March 2010
[4] Barnham; B.; Heath; N.; Pearson; G. 2008. Energy modelling analysis of a traditionally built Scottish tenement flat. Edinburgh; Changeworks
[5] IES. 2009. ApacheSim Calculation Methods 5.9. Integrated Environmental Solutions Limited
[6] IES. 2010. About Us [online content]. Available at http://www.iesve.com/About-us Accessed 14 December 2010
[7] Hughes; A.M. 2010. Discussion on QA/Audit process for Scottish energy assessments. [Telephone conversation] (Personal communication; 05 May 2010)
[8] Caldera; M.; Corgnati; S.P.; Filippi; M. 2008. Energy demand for space heating through a statistical approach: application to residential buildings. Energy & Buildings 40(11) pp1972-1983
doi: 10.1016/j.enbuild.2008.05.005.
[9] Jaffal; I.; Inard; C.; Ghiaus; C. 2009. Fast method to predict building heating demand based on the design of experiments. Energy & Buildings 41(6) pp669-677.
doi: 10.1016/j.enbuild.2009.01.006.
