Stakeholders, researchers and designers apply different overheating metrics because they follow different comfort theories or comply with different regulations and standards. As a result, there is no common ground for generalization, intercomparison and final concordance of their conclusions. Correlation of indices would simplify the analysis being conducted during the design (optimization process) or operational (comfort assessment) phase of buildings. This research compares and statistically correlates results of seven widely used long-term overheating indices on four ‘free-running’ representative dwellings and characteristic climatic conditions of central Europe (Denmark, United Kingdom, Austria and France). Different renovation steps and passive cooling strategies were applied on these case studies creating 66 variants for comfort assessment. The analyses were conducted with the use of a dynamic energy performance engine and widely accepted calculation methods and statistical tools. The statistical analyses show that dynamic indices originate from the same adaptive comfort theory directly related with each other. In addition, it is possible to create general and widely applied relationships between static overheating indices independently of the case study and climatic condition.
Economidou M, Atanasiu B, Despret C, Maio J, Nolte I, Rapf O, Laustsen J, Ruyssevelt P, Staniaszek D, Strong D and Zinetti S. Europe’s buildings under the microscope. A country by country review of the energy performance of buildings. Report, Buildings Performance Institute of Europe, Belgium, October 2011. ISBN: 9789491143014.
2.
Paulou J, Lonsdale J, Jamieson M, Neuweg I, Trucco P, Maio P, Blom M and Warringa G. Financing the energy renovation of buildings with Cohesion Policy funding. Report, European Commission, Belgium, 2014. ISBN: 978-92-79-35999-6, DOI.10.2833/18766.
3.
Larsen TS, Jensen LR and Daniels O. The comfort houses: measurements and analysis of the indoor environment and energy consumption in 8 Passive Houses 2008–2011. DCE Technical Report No. 145, University of Aalborg, Aalborg, Denmark, January 2012. ISSN 1901-726X.
4.
AECOM. Investigation into overheating in homes. Analysis of gaps and recommendations. Report for the Department for Communities and Local Government of United Kingdom, London, July 2012.
5.
AttiaSCarlucciS. Impact of different thermal comfort models on zero energy residential buildings in hot climate. Energy Build2015; 102: 117–128.
6.
CarlucciSPaglianoL. A review of indices for the long-term evaluation of the general thermal comfort conditions in buildings. Energy Build2012; 53: 194–205.
7.
CarlucciSPaglianoLSangalliA. Statistical analysis of the ranking capability of long-term thermal discomfort indices and their adoption in optimization processes to support building design. Build Environ2014; 75: 114–131.
8.
Nicol F. The limits of thermal comfort: avoiding overheating in European buildings. Technical Memorandum for the Chartered Institution of Building Services Engineer. No 52, London, July 2013.
9.
Pane W. Thermal mass and overheating-provide modelling support to guidance on overheating in dwellings. Report for the British Research Establishment, Watford. Available at: www.sipcrete.com/PDF%20Downloads/Thermal_Mass_and_Overheating.pdf (2005, accessed 17 November 2016).
10.
SchniedersJ. Passive houses in South West Europe-a quantitative investigation of some passive and active space conditioning techniques for highly energy efficient dwellings in the South West European region, 2nd ed. Darmstadt: Passivhaus Institut, 2009.
11.
Grignon-Massé L, Marchio D, Pietrobon M and Pagliano L.Evaluation of energy savings related to building envelope retrofit techniques and ventilation strategies for low energy cooling in offices and commercial sector. In: 6th International conference on improving energy efficiency in commercial building, Frankfurt, Germany, April 13–14 2010, Joint Research Center European Commission, https://hal-sde.archives-ouvertes.fr/file/index/docid/509445/filename/IEECB10.pdf (accessed 17 November 2016).
12.
Di PernaCStaziFCasalenaUAD’OrazioM. Influence of the internal inertia of the building envelope on summertime comfort in buildings with high internal heat loads. Energy Build2011; 43: 200–206.
13.
Carlucci S and Pagliano L. An optimization procedure based on thermal discomfort minimization to support the design of comfortable net zero energy buildings. In: 13th conference of the International Building Performance Simulation Association, Chambery, France, August 25–28 2013, IBPSA Association, pp.3690–3697.
14.
EpsteinYMoranD. Thermal comfort and the heat stress indices. Industrial Health2006; 4: 388–398.
15.
BS EN 15251:2007. Indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor air quality, thermal environment, lighting and acoustics, London: BSI, 2007.
16.
ISO 7730:2005. Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria. Ergonomics of the thermal environment, Geneva: the International Organization for Standardization, 2005.
17.
PeetersLde DearRHensenJD’haeseleerW. Thermal comfort in residential buildings: comfort values and scales for building energy simulation. Appl Energy2009; 86: 772–780.
18.
prEN 16798-1:2016. Energy performance of buildings – Part 1: indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor air quality, thermal environment, lighting and acoustics, Brussels: CEN, 2016.
19.
FigueiredoAFigueiraJVicenteRMaioR. Thermal comfort and energy performance: sensitivity analysis to apply the Passive House concept to the Portuguese climate. Build Environ2016; 103: 276–288.
20.
JiYFittonRSwanWWebsterP. Assessing overheating of the UK existing dwellings. A case study of replica Victorian end terrace house. Build Environ2014; 77: 1–11.
21.
SameniSMTGaterellMMontazamiAAhmedA. Overheating investigation in UK social housing flats built to the Passivhaus standard. Build Environ2015; 92: 222–235.
22.
AdekunleTONikolopoulouM. Thermal comfort, summertime temperatures and overheating in prefabricated timber housing. Build Environ2016; 103: 21–35.
23.
PeelMCFinlaysonBLMcMahonTA. Updated world map of the Koeppen–Geiger climate classification. Hydrol Earth Syst Sci2007; 11: 1633–1644.
Energy Performance of Buildings Directive (recast). Cost optimal calculations: UK report to European Commission. Department for Communities and Local Government, London, May 2013.
26.
Dokument zum Nachweis der Kostenoptimalität der Anforderungen der OIB-RL6 bzw. Artikel 4 (2) zu 2010/31/EU.Österreichisches Institut für Bautechnik, Vienna, March 2013.
27.
PsomasTHeiselbergPDuerKBjørnE. Overheating risk barriers to energy renovations of single family houses. Multicriteria analysis and assessment. Energy Build2016; 117: 138–148.
Intelligent Energy-IEE. Residential monitoring to decrease energy use and carbon emissions in Europe. Remodece Project. Report, University of Coimbra, Coimbra, Portugal, 2008.
31.
Jensen RL. Person og forbrugsprofiler: bygningsintegreret energiforsyning. Report, University of Aalborg, Aalborg, Denmark, August 2011.
