Modeling methodology of the heating energy consumption and the potential reductions due to thermal improvements of staggered block buildings

Energy and Buildings

Volumn 125, Issue , 2016, Pages 244-253

  Stefanović, Andreja ^a   Gordić, Dušan ^b  

^a PE Urban Planning Dirct Kragujevac ^*  (Serbia)

^b UNIVERSITY OF KRAGUJEVAC   (Serbia)

Author keywords

Energy model; EnergyPlus; Heating energy consumption; Residential buildings; Thermal improvements

Indexed keywords

BUILDINGS; ENERGY CONSERVATION; ENERGY EFFICIENCY; HEATING; HOUSING; THERMAL INSULATION;

ENERGY MODEL; ENERGYPLUS; HEATING ENERGY CONSUMPTION; RESIDENTIAL BUILDING; THERMAL IMPROVEMENTS;

ENERGY UTILIZATION;

EID: 84971015087     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2016.04.058     Document Type: Article

References (35)

1. Energy efficiency market report 2015, International Energy Agency, OECD/IEA, 2015.
2. IEA Statistics, Serbia: Balances for 2013, , (accessed 08.01.2016).
3. L.G. Swan, and V.I. Ugursal Modeling of end-use energy consumption in the residential sector: a review of modeling techniques Renew. Sustain. Energy Rev. 13 2009 1819 1835
4. M. Kavgic, A. Mavrogianni, D. Mumovic, A. Summerfield, Z. Stevanovic, and M. Djurovic-Petrovic A review of bottom-up building stock models for energy consumption in the residential sector Build. Environ. 45 2010 1683 1697
5. F. Zhao, and et al. Reconstructing building stock to replicate energy consumption data Energy Build. 2015 10.1016/j.enbuild.2015.10.001
6. A. Mastrucci, O. Baume, F. Stazi, and U. Leopold Estimating energy savings for the residential building stock of an entire city: a GIS-based statistical downscaling approach applied to Rotterdam Energy Build. 75 2014 358 367
7. A.A. Famuyibo, A. Duffy, and P. Strachan Developing archetypes for domestic dwellings - an Irish case study Energy Build. 50 2012 150 157
8. Z. Kolter, and J. Ferreira A large-scale study on predicting and contextualizing building energy usage Proceedings of 25th AAAI Conference on Artificial Intelligence San Francisco CA 2011
9. I. Ballarini, S.P. Corgnati, and V. Corrado Use of reference buildings to assess the energy saving potentials of the residential building stock: the experience of TABULA project Energy Policy 68 2014 273 284
10. E.G. Dascalaki, K.G. Droutsa, C.A. Balaras, and S. Kontoyiannidis Building typologies as a tool for assessing the energy performance of residential buildings - a case study for the Hellenic building stock Energy Build. 43 2011 3400 3409
11. E. Mata, A. Sasic Kalagasidis, and F. Johnsson Energy usage and technical potential for energy saving measures in the Swedish residential building stock Energy Policy 55 2013 404 414
12. L.G. Swan, V.I. Ugursal, and I. Beausoleil-Morrison A database of house descriptions representative of the Canadian housing stock for coupling to building energy performance simulation J. Build. Perform. Simul. 2 2 2009
13. Y.J. Huang, and J. Brodrick A bottom-up engineering estimate of the aggregate heating and cooling loads of the entire US building stock Proceedings of the 2000 ACEEE Summer Study on Energy Efficiency in Buildings August 20-25, 2000 in Pacific Grove, CA 2000
14. E. Mata, A. Sasic Kalagasidis, and F. Johnsson Building-stock aggregation through archetype buildings: France, Germany, Spain and the UK Build. Environ. 81 2014 270 282
15. P. Tuominen, R. Holopainen, L. Eskola, J. Jokisalo, and M. Airaksinen Calculation method and tool for assessing energy consumption in the building stock Build. Environ. 75 2014 153 160
16. A. Parekh Development of archetypes of building characteristics libraries for simplified energy use evaluation of houses Ninth International IBPSA Conference Montréal Canada August 15-18 2005
17. M. Deru, K., Field, D., Studer, K., Benne, B., Griffith, P., Torcellini, B., Liu, M., Halverson, D., Winiarski, M., Rosenberg, M., Yazdanian, J., Huang, D. Crawley, U.S. Department of Energy Commercial Reference Building Models of the National Building Stock, NREL (2011) NREL/TP-5500-46861.
18. J. Kragh, and K.B. Wittchen Development of two Danish building typologies for residential buildings Energy Build. 68 2014 79 86
19. G. Caputo A supporting method for defining energy strategies in the building sector at urban scale Energy Policy 55 2013 261 270
20. 2 emission reductions in existing urban housing using a community domestic energy model Eleventh International IBPSA Conference Glasgow Scotland July 27-30 2009
21. G. Dall'O', A. Galante, and M. Torri A methodology for the energy performance classification of residential building stock on an urban scale Energy Build. 48 2012 211 219
22. Y. Shimoda, T. Asahi, A. Taniguchi, and M. Mizuno Evaluation of city-scale impact of residential energy conservation measures using the detailed end-use simulation model Energy 32 2007 1617 1633
23. Ordinance on energy efficiency of buildings (in Serbian), Official Gazette of RS; 61/2011.
24. EN ISO 13790, Energy performance of buildings - Calculation of energy use for space heating and cooling. 2008.
25. Ordinance on the conditions, content and method of publishing certificates of buildings energy performance (in Serbian), Official Gazette of RS; 69/2012.
26. L. Beccali Simplified models for building cooling energy requirement Proceedings of the 7th IBPSA Conference August 13-15, 2001. Rio de Janeiro, Brazil, 295-301 2001
27. V. Corrado, and E. Fabrizio Assessment of building cooling energy need through a quasi-steady state model: simplified correlation for gain-loss mismatch Energy Build. 39 2007 569 579
28. J. Jokisalo, and J. Kurnitski Performance of EN ISO 13790 utilisation factor heat demand calculation method in a cold climate Energy Build. 39 2007 236 247
29. G. Kokogiannakis, P. Strachan, and J. Clake Comparison of the simplified approach of the ISO 13790 standard and detailed modeling programs in a regulatory context J. Build. Perform. Simul. 1 2008 209 219
30. Y.J. Kim, S.H. Yoon, and C.S. Park Stochastic comparison between simplified energy calculation and dynamic simulation Energy Build. 64 2013 332 342
31. H. Zhao, and F. Magoules A review on the prediction of building energy consumption Renew. Sustain. Energy Rev. 16 2012 3586 3592
32. M. Jovanović Popović, D. Ignjatović, A. Radivojević, A. Rajčić, Lj. Djukanović, N. Ćuković, and M. Nedić Atlas of Multifamily Housing in Serbia 2013 University of Belgrade - Faculty of Architecture Serbian
33. The decision of thermal energy supply for the city of Kragujevac (in Serbian), Official Gazette of city of Kragujevac; 10/2009, 29/2010 and 8/2014.
34. Occupancy Schedules, Autodesk knowledge network. knowledge.autodesk.com/support/revit-products/learn-explore/caas/CloudHelp/cloudhelp/2015/ENU/Revit-Analyze/files/GUID-D72DDB68-621C-4258-96FE-BEAD337B960E-htm. (accessed 05.01.2016).
35. EN ISO 13789 Thermal Performance of buildings. Transmission and ventilation heat transfer coefficients. Calculation method. 2007.