Importance of occupancy information when simulating energy demand of energy efficient house: A case study

Energy and Buildings

Volumn 101, Issue , 2015, Pages 64-75

  Martinaitis, Vytautas ^a   Zavadskas, Edmundas Kazimieras ^a   Motuziene, Violeta ^a   Vilutiene, Tatjana ^a  

^a VILNIUS GEDIMINAS TECHNICAL UNIVERSITY   (Lithuania)

Author keywords

3D model; Automated building energy systems; Auxilary energy; Comfort strategy; Energy efficient house; Occupancy profile; Overheating

Indexed keywords

BUILDINGS; COMPUTER SOFTWARE; ENERGY MANAGEMENT; ENERGY UTILIZATION; HOUSES; LIFE CYCLE; REGULATORY COMPLIANCE;

3-D MODELING; AUTOMATED BUILDINGS; AUXILARY ENERGY; COMFORT STRATEGY; ENERGY EFFICIENT; OCCUPANCY PROFILE; OVERHEATING;

ENERGY EFFICIENCY;

EID: 84930209469     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2015.04.031     Document Type: Article

References (54)

1. S. Asadi, S.S. Amiri, and M. Mottahedi On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design Energy Build. 85 2014 246 255 http://dx.doi.org/10.1016/j.enbuild.2014.07.096
2. H. Rothrock Sustainable housing: emergy evaluation of an off-grid residence Energy Build. 85 2014 287 292 http://dx.doi.org/10.1016/j.enbuild.2014.08.002
3. N. Wang, and H. Adeli Sustainable building design J. Civ. Eng. Manag. 20 1 2013 1 10 http://dx.doi.org/10.3846/13923730.2013.871330
4. D. Kaczorek, and H. Koczyk Structural solutions impact on thermal energy efficiency of heating surface at an open space J. Civ. Eng. Manag. 19 6 2013 883 893 10.3846/13923730.2013.840333
5. V. Žekas, V. Martinaitis, G. Streckiene, and T. Vilutiene A quantitative evaluation of theoretical renewable energy potential of the building site J. Civ. Eng. Manag. 20 6 2014 873 883 10.3846/13923730.2014.976589
6. A. Schlueter, and F. Thesseling Building information model based energy/exergy performance assessment in early design stages Autom. Constr. 18 2009 153 163
7. C. Bleil de Souza Contrasting paradigms of design thinking: the building thermal simulation tool user vs. the building designer Autom. Constr. 22 2012 112 122 http://dx.doi.org/10.1016/j.autcon.2011.09.008
8. TRNSYS TRNSYS - Simulation Environment for the Transient Simulation of Thermal Systems Including Multi-zone Buildings, Homepage 2014 Available from [cited 2014]
9. IES Virtual Environment IES Virtual Environment, Homepage 2014 Available from [cited 2014]
10. EnergyPlus EnergyPlus Energy Simulation Software, Homepage 2014 Available from [cited 2014]
11. Jan. L.M. Hensen, and R. Lamberts Building Performance Simulation for Design and Operation 2011 Spon Press Oxfordshire, UK ISBN: 13:978-0-415-47414-6(hbk), 13:978-0-203-89161-2(ebk)
12. V. Motuziene, and T. Vilutiene Modelling the effect of the domestic occupancy profiles on predicted energy demand of the energy efficient house Procedia Eng. 57 2013 798 807 http://dx.doi.org/10.1016/j.autcon.2012.01.001
13. C. Bleil de Souza Studies into the use of building thermal physics to inform design decision making Autom. Constr. 30 2013 81 93 http://dx.doi.org/10.1016/j.autcon.2012.11.026
14. S.F. Larsen, C. Filippin, A. Beascochea, and G. Lesino An experience on integrating monitoring and simulation tools in the design of energy-saving buildings Energy Build. 40 6 2008 987 997 http://dx.doi.org/10.1016/j.enbuild.2007.08.004
15. C.E. Ochoa, and I.G. Capeluto Advice for early design stages of intelligent facades based on energy and visual comfort Energy Build. 41 5 2009 480 488 http://dx.doi.org/10.1016/j.enbuild.2008.11.015
16. S. Petersen, and S. Svendsen Method and simulation program informed decisions in the early stages of building design Energy Build. 42 7 2010 1113 1119 http://dx.doi.org/10.1016/j.enbuild.2010.02.002
17. H. Kim, A. Stumpf, and W. Kim Analysis of an energy efficient building design through data mining approach Autom. Constr. 20 2011 37 43 http://dx.doi.org/10.1016/j.autcon.2010.07.006
18. A. Korjenic, and T. Bednar Validation and evaluation of total energy use in office buildings: a case study Autom. Constr. 23 2012 64 70 http://dx.doi.org/10.1016/j.autcon.2012.01.001
19. E. Azar, and C.C. Menassa A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings Energy Build. 55 2012 841 853 http://dx.doi.org/10.1016/j.enbuild.2012.10.002
20. F. Oldewurtel, D. Sturzenegger, and M. Morari Importance of occupancy information for building climate control Appl. Energy 101 2013 521 532 http://dx.doi.org/10.1016/j.apenergy.2012.06.014
21. T. de Meestera, A.-F. Mariqueb, A. De Herdea, and S. Reiterb Impacts of occupant behaviours on residential heating consumption for detached houses in a temperate climate in the northern part of Europe Energy Build. 57 2013 313 323 http://dx.doi.org/10.1016/j.enbuild.2012.11.005
22. D. Saelens, W. Parys, and R. Baetens Energy and comfort performance of thermally activated building systems including occupant behavior Build. Environ. 46 2011 835 848 http://dx.doi.org/10.1016/j.buildenv.2010.10.012
23. A.C. Menezes, A. Cripps, D. Bouchlaghem, and R. Buswell Predicted vs. actual energy performance of non-domestic buildings: using post- occupancy evaluation data to reduce the performance gap Appl. Energy 97 2012 355 364 http://dx.doi.org/10.1016/j.apenergy.2011.11.075
24. B. Bordass, R. Cohen, M. Standeven, and A. Leaman Assessing building performance in use 3: energy performance of the Probe buildings Build. Res. Inf. 29 2001 114 128 http://dx.doi.org/10.1080/09613210010008036
25. M. Sunikka-Blank, and R. Galvin Introducing the rebound effect: the gap between performance and actual energy consumption Buil. Res. Inf. 40 3 2012 260 273 http://dx.doi.org/10.1080/09613218.2012.690952
26. D. Majcen, L.C.M. Itard, and H. Visscher Theoretical vs. actual energy consumption of labelled dwellings in the Netherlands: discrepancies and policy implications Energy Policy 54 2013 125 136 http://dx.doi.org/10.1016/j.enpol.2012.11.008
27. B. Lin, and H. Liu A study on the energy rebound effect of China's residential building energy efficiency Energy Build. 86 2015 608 618 http://dx.doi.org/10.1016/j.enbuild.2014.10.049
28. A.-L. Lindén, A. Carlsson-Kanyama, and B. Eriksson Efficient and inefficient aspects of residential energy behaviour: what are the policy instruments for change? Energy Policy 34 2006 1918 1927 http://dx.doi.org/10.1016/j.enpol.2005.01.015
29. A. Carlsson-Kanyama, and A.-L. Lindén Energy efficiency in residences - challenges for women and men in the North Energy Policy 35 2007 2163 2172 http://dx.doi.org/10.1016/j.enpol.2006.06.018
30. R.V. Andersen, J. Toftum, K.K. Andersen, and B.W. Olesen Survey of occupant behaviour and control of indoor environment in Danish dwellings Energy Build. 41 2009 11 16 http://dx.doi.org/10.1016/j.enbuild.2008.07.004
31. J. Pett, and P. Guertler User behaviour in energy efficient homes Phase 2, Report 2004
32. S. Kelly, M. Shipworth, D. Shipworth, M. Gentry, A. Wright, M. Pollitt, D. Crawford-Brown, and K. Lomas Predicting the diversity of internal temperatures from the English residential sector using panel methods Appl. Energy 102 2012 601 621 http://dx.doi.org/10.1016/j.apenergy.2012.08.015
33. J. Torriti Demand side management for the European supergrid: occupancy variances of European single-person households Energy Policy 44 2012 199 206 http://dx.doi.org/10.1016/j.enpol.2012.01.039
34. Hetus, Harmonised European Time Use Survey. [online database version 2.0]. Created 2005-2007 by Statistics Finland and Statistics Sweden, http://www.tus.scb.se.
35. M. Santamouris, S.M. Alevizos, L. Aslanoglou, D. Mantzios, P. Milonas, I. Sarelli, S. Karatasou, K. Cartalis, and J.A. Paravantis Freezing the poor - indoor environmental quality in low and very low income households during the winter period in Athens Energy Build. 70 2014 61 70 http://dx.doi.org/10.1016/j.enbuild.2013.11.074
36. M. Santamouris On the energy impact of urban heat island and global warming on buildings Energy Build. 82 2014 100 113 http://dx.doi.org/10.1016/j.enbuild.2014.07.022
37. A. Mahdavi, and F. Tahmasebi Predicting people's presence in buildings: an empirically based model performance analysis Energy Build. 86 2015 349 355 http://dx.doi.org/10.1016/j.enbuild.2014.10.027
38. T. De Meester, A.-F. Marique, A. De Herde, and S. Reiter Impacts of occupant behaviours on residential heating consumption for detached houses in a temperate climate of the northern part of Europe Energy Build. 57 2012 313 323 http://dx.doi.org/10.1016/j.enbuild.2012.11.005
39. O. Guerra Santin, L. Itard, and H. Visscher The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock Energy Build. 41 2009 1223 1232 http://dx.doi.org/10.1016/j.enbuild.2009.07.002
40. M. Deurinck, D. Saelens, and S. Roels Assessment of the physical part of the temperature takeback for residential retrofits Energy Build. 52 2012 112 121
41. Z. Yu, B.C.M. Fung, F. Haghighat, H. Yoshino, and E. Morofsky A systematic procedure to study the influence of occupant behavior on building energy consumption Energy Build. 43 2011 1409 1417 http://dx.doi.org/10.1016/j.enbuild.2011.02.002
42. ISO 13790:2008 Energy Performance of Buildings - Calculation of Energy Use for Space Heating and Cooling 2008 ISO
43. J.A. Clarke Energy Simulation in Building Design second ed. 2013 Butterworth-Heinemann Oxford
44. V. Vakiloroaya, Q.P. Ha, and B. Samali Energy-efficient HVAC systems: simulation-empirical modelling and gradient optimization Autom. Constr. 31 2013 176 185 http://dx.doi.org/10.1016/j.autcon.2012.12.006
45. M. Kapsalaki, V. Leal, and M. Santamouris A methodology for economic efficient design of Net Zero Energy Buildings Energy Build. 55 2012 765 778 http://dx.doi.org/10.1016/j.enbuild.2012.10.022
46. C.P. Underwood, and F.W.H. Yik Modelling Methods for Energy in Buildings 2004 Blackwell Publishing Oxford
47. V. Lapinskiene, and V. Martinaitis The framework of an optimization model for building envelope Procedia Eng. 57 2013 670 677 10.1016/j.proeng.2013.04.085
48. R. Mikučioniene, V. Martinaitis, and E. Keras Evaluation of energy efficiency measures sustainability by decision tree method Energy Build. 76 2014 64 71 http://dx.doi.org/10.1016/j.enbuild.2014.02.048
49. IWEC Weather Files (International Weather for Energy Calculations) 2009 ASHRAE Atlanta, GA
50. STR STR 2.01.09:2012 Pastatų energinis naudingumas. Energinio naudingumo sertifikavimas The Energy Efficiency in Buildings. The Energy Certification of Buildings 2012
51. NorthPass, Principles of low-energy houses applicable in North European countries and their applicability throughout the EU, in: NorthPass project report, October 2010, http://www.buildup.eu/publicaions/28371.
52. STR STR 2.02.09:2005 Vienbučiai ir dvibučiai gyvenamieji pastatai One and Two Flat Dwellings 2005
53. HN HN 42:2009 Gyvenamųjų ir visuomeninių pastatų patalpų mikroklimatas Indoor Climate of Residential and Public Buildings 2009
54. ECOFYS Towards nearly zero-energy buildings - definition of common principles under the EPBD Final Report February 2013