Journal Home > Volume 10 , Issue 6

The objective of obtaining high performance energy buildings can be reached considering the contemporaneous effects of technical characteristics and occupancy. Recent studies report that as buildings become more energy efficient, the behavior of occupants plays an increasing role in consumption. Therefore, a construction designed to be a Nearly Zero Energy Building (nZEB) might generate higher consumption than expected if the assumptions made in the simulation process are not respected during the real use. The occupant can modify the control strategies of internal variables (heating/cooling system operation, set point temperature, ventilation, lighting) and the users’ behavior has a high impact on the utilization of plants and equipment. A significant contribution is also represented by the internal gains that have a direct relation with occupancy. The aim of this study is to assess the influence of housing occupancy patterns on the definition of residential nZEB in Italian climatic conditions. The investigation has been carried out considering a case study consisting of a building designed according to the National Standards. Successively, different conditions of the building usage are analyzed using dynamic energy simulations that allow exploration of the different occupation modes. The variability of the family composition and the occupancy scenarios are defined based on the data collected in the specific context. The investigation provides information regarding the effects of human variables (occupants’ needs and preferences) on the final energy performance of low energy buildings and highlights the combination of variables that are important in the definition of nZEB as net zero source energy.


menu
Abstract
Full text
Outline
About this article

Behavioral variables and occupancy patterns in the design and modeling of Nearly Zero Energy Buildings

Show Author's information Cristina Carpino1Dafni Mora1,2Natale Arcuri1Marilena De Simone1( )
Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria, P. Bucci 46/C, 87036, Rende (CS), Italy
Hydraulic and Hydrotechnical Research Center (CIHH)—Technological University of Panama, Avenida Domingo Diaz, Panama City, Panama

Abstract

The objective of obtaining high performance energy buildings can be reached considering the contemporaneous effects of technical characteristics and occupancy. Recent studies report that as buildings become more energy efficient, the behavior of occupants plays an increasing role in consumption. Therefore, a construction designed to be a Nearly Zero Energy Building (nZEB) might generate higher consumption than expected if the assumptions made in the simulation process are not respected during the real use. The occupant can modify the control strategies of internal variables (heating/cooling system operation, set point temperature, ventilation, lighting) and the users’ behavior has a high impact on the utilization of plants and equipment. A significant contribution is also represented by the internal gains that have a direct relation with occupancy. The aim of this study is to assess the influence of housing occupancy patterns on the definition of residential nZEB in Italian climatic conditions. The investigation has been carried out considering a case study consisting of a building designed according to the National Standards. Successively, different conditions of the building usage are analyzed using dynamic energy simulations that allow exploration of the different occupation modes. The variability of the family composition and the occupancy scenarios are defined based on the data collected in the specific context. The investigation provides information regarding the effects of human variables (occupants’ needs and preferences) on the final energy performance of low energy buildings and highlights the combination of variables that are important in the definition of nZEB as net zero source energy.

Keywords: occupant behavior, electricity consumption, zero energy building, occupancy profiles

References(43)

VM Barthelmes, C Becchio, SP Corgnati (2016). Occupant behavior lifestyles in a residential nearly zero energy building: Effect on energy use and thermal comfort. Science and Technology for the Built Environment, 22: 960-975.
C Becchio, C Bello, SP Corgnati, L Ingaramo (2016). Influence of occupant behaviour lifestyle on an Italian social housing. In: Proceedings of the 71st Conference of the Italian Thermal Machines Engineering Association (ATI2016), Turin, Italy.
DOI
S Berry, D Whaley, K Davidson, W Saman (2014). Near zero energy homes—What do users think? Energy Policy, 73: 127-137.
R Brahme, ZO Neill, W Sisson, K Otto (2009). Using existing whole building energy tools for designing net-zero energy buildings— Challenges and workarounds. In: Proceedings of the 11th International IBPSA Building Simulation Conference, Glasgow, UK.
MJ Brandemuehl, KM Field (2011). Effects of variations of occupant behavior on residential building net zero energy performance. In: Proceedings of the 12th International IBPSA Building Simulation Conference, Sidney, Australia.
CEN (2008). CEN. EN ISO 13790: Energy Performance of Buildings— Calculation of Energy Use for Space Heating and Cooling. European Commitee for Standardization.
J Chen, X Wang, K Steemers (2013). A statistical analysis of a residential energy consumption survey study in Hangzhou, China. Energy and Buildings, 66: 193-202.
Commission of the European Communities (1992). Council Directive 92/75/EEC of 22 september 1992 on the indication by labelling and standard product information of the consumption of energy and other resources by household applilances. Official Journal of the European Communities, 297: 16-19.
D.Lgs. 28/2011 (2011). Decreto Legislativo 3 marzo 2011, n.28 Attuazione della direttiva 2009/28/CE sulla promozione dell’uso dell’energia da fonti rinnovabili, recante modifica e successiva abrogazione delle direttive 2001/77/CE e 2003/30/CE. Gazzetta Ufficiale Italiana 29/3/11 no. 7. (in Italian)
D.M. 26/6/2015-1 (2015). Applicazione delle metodologie di calcolo delle prestazioni energetiche e definizione delle prescrizioni e dei requisiti minimi degli edifici. Gazzetta Ufficiale Italiana 26/6/15 (in Italian).
T de Meester, A-F Marique, A De Herde, S Reiter (2013). Impacts of occupant behaviours on residential heating consumption for detached houses in a temperate climate in the northern part of Europe. Energy and Buildings, 57: 313-323.
P de Wilde (2014). The gap between predicted and measured energy performance of buildings: A framework for investigation. Automation in Construction, 41: 40-49.
DesignBuilder (2015). DesignBuilder Version 4.6.0.015. DesignBuilder Software Ltd.
DPR 412/93 (1993). Regolamento recante norme per la progettazione, l’installazione, l’esercizio e la manutenzione degli impianti termici degli edifici ai fini del contenimento dei consumi di energia, in attuazione dell’art. 4, comma 4, della legge 9 gennaio 1991. (in Italian)
ENEA (2013). L’etichetta energetica. National Agency for new Technologies EE and Sustainable Economic Development. Available at http://www.enea.it/it/pubblicazioni/pdf-opuscoli/OpuscoloEtichettaEnergetica.pdf. Accessed 1 Feb 2016.
ENEA (2015). Energy Efficiency Annual Report 2015-Executive summary. National Agency for new Technologies Energy Efficiency and Sustainable Economic Development, Rome, Italy.
Engineering & Construction (2010). Acqua Calda Sanitaria. Available at http://www.engicos.it/acquacaldasanitaria.htm. Accessed 7 May 2015.
European Parliament (2010). Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings (recast). Belgium.
M Frontczak, P Wargocki (2011). Literature survey on how different factors influence human comfort in indoor environments. Building and Environment, 46: 922-937.
ZM Gill, MJ Tierney, IM Pegg, N Allan (2010). Low-energy dwellings: The contribution of behaviours to actual performance. Building Research & Information, 38: 491-508.
T Hong, H-W Lin (2012). Occupant behavior: Impact on energy use of private offices. In: Proceedings of ASim IBSPA Asia Conference. Shanghai, China.
IEA (2015). IEA-EBC Annex 66: Definition and Simulation of Occupant Behavior in Buildings. Available at http://www.annex66.org.
ISTAT (2014a). National Institute of Statistics. Available at http://www.istat.it/it. Accessed 15 Mar 2016.
ISTAT (2014b). National Institute of Statistics I.stat. Available at http://dati.istat.it. Accessed 21 Jul 2016.
K Judd, T Sanquist, M Zalesny, N Fernandez (2013). The role of occupant behavior in achieving net zero energy: A demonstration project at Fort Carson. US Department of Energy.
DOI
M Kottek, J Grieser, C Beck, B Rudolf, F Rubel (2006). World map of the Köppen-Geiger climate classification updated. Meteorologische Zeitschrift, 15: 259-263.
A Lenoir, S Cory, M Donn, F Garde (2011). Users’ behaviour and energy performances of net zero energy buildings. In: Proceedings of the 12th International IBPSA Building Simulation Conference, Sidney, Australia, pp. 1527-1534.
J Love (2012). Mapping the impact of changes in occupant heating behaviour on space heating energy use as a result of UK domestic retrofit. In: Proceedings of Retrofit 2012, Manchester, UK.
E Marshall, JK Steinberger, V Dupont, TJ Foxon (2016). Combining energy efficiency measure approaches and occupancy patterns in building modelling in the UK residential context. Energy and Buildings, 111: 98-108.
V Martinaitis, EK Zavadskas, V Motuziene, T Vilutiene (2015). Importance of occupancy information when simulating energy demand of energy efficient house: A case study. Energy and Buildings, 101: 64-75.
F McLoughlin, A Duffy, M Conlon (2012). Characterising domestic electricity consumption patterns by dwelling and occupant socio-economic variables: An Irish case study. Energy and Buildings, 48: 240-248.
Meteonorm (2016). Meteonorm Global Meteorogical Database Version 7.1.8. Available at http://meteonorm.com/downloads. Accessed 10 Feb 2016.
E Mlecnik, T Schütze, SJT Jansen, G de Vries, HJ Visscher, A van Hal (2012). End-user experiences in nearly zero-energy houses. Energy and Buildings, 49: 471-478.
G Murano, V Corrado, D Dirutigliano (2016). The new Italian climatic data and their effect in the calculation of the energy performance of buildings. Energy Procedia, 101: 14-16.
B Poel, G van Cruchten, CA Balaras (2007). Energy performance assessment of existing dwellings. Energy and Buildings, 39: 393-403.
I Sartori, A Napolitano, K Voss (2012). Net zero energy buildings: A consistent definition framework. Energy and Buildings, 48: 220-232.
P Torcellini, S Pless, M Deru, D Crawley (2006). Zero energy buildings: A critical look at the definition. In: Proceedings of ACEEE Summer Study, Pacific Grove, California, USA, p NREL/ CP-550-39833.
UNI (1994). UNI 10349: Heating and Cooling of Buildings—Climatic Data.
UNI (2014a). UNI/TS 11300-1: Energy Performance of Buildings. Part 1: Evaluation of Energy Need for Space Heating and Cooling.
UNI (2014b). UNI/TS 11300-2: Energy Performance of Buildings. Part 2: Evaluation of Primary Energy Need and System Efficiencies for Space Heating, Domestic Hot Water Production, Ventilation and Lighting for Non-residential Buildings.
S Wei, R Jones, P de Wilde (2014). Driving factors for occupant-controlled space heating in residential buildings. Energy and Buildings, 70: 36-44.
J Williams, R Mitchell, V Raicic, M Vellei, G Mustard, A Wismayer, X Yin, S Davey, M Shakil, Y Yang, A Parkin, D Coley (2016). Less is more: A review of low energy standards and the urgent need for an international universal zero energy standard. Journal of Building Engineering, 6: 65-74.
D Yan, W O’Brien, T Hong, X Feng, HB Gunay, F Tahmasebi, A Mahdavi (2015). Occupant behavior modeling for building performance simulation: Current state and future challenges. Energy and Buildings, 107: 264-278.
Publication history
Copyright

Publication history

Received: 28 November 2016
Revised: 27 March 2017
Accepted: 31 March 2017
Published: 27 April 2017
Issue date: December 2017

Copyright

© Tsinghua University Press and Springer-Verlag GmbH Germany 2017
Return