Open Access
| Issue |
E3S Web Conf.
Volume 172, 2020
12th Nordic Symposium on Building Physics (NSB 2020)
|
|
|---|---|---|
| Article Number | 25005 | |
| Number of page(s) | 8 | |
| Section | Energy performance simulation and assessment | |
| DOI | https://doi.org/10.1051/e3sconf/202017225005 | |
| Published online | 30 June 2020 | |
- EPBD 2002/91/EC, Directive 2002/91/EC of the European Parliament and of the Council of 16 December 2002 on the energy performance of buildings. 2002, pp. 65–71. [Google Scholar]
- A. Philippe, “Annex 53 - Total energy use in buildings - Energy performance analysis Separate Document Volume VI,” 2013. [Google Scholar]
- S. Imam, D. A. Coley, and I. Walker, “The building performance gap: Are modellers literate?,” Build. Serv. Eng. Res. Technol., vol. 38, no. 3, pp. 351–375, 2017. [Google Scholar]
- A. Nilsson, “Energy use in newly built apartment buildings on the Bo01 area in Malmö (Energianvändning i nybyggda flerbostadshus på Bo01-området i Malmö) in Swedish,” Lund University, Lund, 2003. [Google Scholar]
- J. Wellholm, “Deviations between calculated and actual energy use in buildings - A case study of a property built in 2012 (in Swedish),” Uppsala, 2015. [Google Scholar]
- P. Filipsson and J.-O. Dalenbäck, “Energiberäkningar Avvikelser mellan projekterat och uppmätt energibehov,” Göteborg, 2014. [Google Scholar]
- P. De Wilde, “The gap between predicted and measured energy performance of buildings: A framework for investigation,” Autom. Constr., vol. 41, pp. 40–49, 2014. [CrossRef] [Google Scholar]
- H. Yoshino, T. Hong, and N. Nord, “IEA EBC annex 53: Total energy use in buildings—Analysis and evaluation methods,” Energy Build., vol. 152, no. March 2013, pp. 124–136, 2017. [Google Scholar]
- T. Hong, J. Langevin, and K. Sun, “Building simulation: Ten challenges,” Build. Simul., vol. 11, no. 5, pp. 871–898, 2018. [Google Scholar]
- I. A. Macdonald, “Quantifying the Effects of Uncertainty in Building Simulation,” University of Strathclyde, 2002. [Google Scholar]
- R. Rezaee, J. Brown, J. Haymaker, and G. Augenbroe, “A new approach to performance-based building design exploration using linear inverse modeling,” J. Build. Perform. Simul., vol. 12, no. 3, pp. 246–271, 2019. [Google Scholar]
- B. and P. Boverket (Swedish National Board of Housing, “The Swedish National Board of Housing, Building and Planning’s regulations on amendments to the building regulations (Sv: Boverkets föreskrifter om ändring i verkets byggregler (2011:6),” pp. 1–16, 2017. [Google Scholar]
- U. Jansson, “Appropriate safety margins in energy calculations - safety margin for uncertainties in input data (Lämpliga säkerhetsmarginaler i energiberäkningar – säkerhetsmarginal för osäkerheter i indata) in Swedish,” 2017. [Google Scholar]
- S. Burke, J. Kronvall, M. Wiktorsson, P. Sahlin, and A. Ljungberg, “Method for probabilistic energy use in residential buildings (Beräkningsmetod för sannolik energianvändning i bostadshus) in Swedish,” 2017. [Google Scholar]
- Sveby, “Energy agreement 12 for agreement on energy use (Energiavtal 12 för överenskommelse om energianvändning), in Swedish,” 2012. [Google Scholar]
- S. Burke, J. Kronvall, M. Wiktorsson, P. Sahlin, and A. Ljungberg, “Method for Probabilistic Energy Calculations — Passive House Case Study,” in Cold Climate HVAC 2018, 2019, pp. 645–652. [CrossRef] [Google Scholar]
- EQUA Simulation AB, “IDA Indoor Climate and Energy (Version 4.8).” p. Detailed and dynamic multi-zone simulation applica, 2016. [Google Scholar]
- M. Erlandsson, S. Ruud, E. Sandberg, M. Wall, H. Eek, and Å. Wahlström, “FEBY Specification of requirements for Passive House (FEBY kravspecifikation för Passivhus - FEBY09), in Swedish,” 2009. [Google Scholar]
- E. Fahlén et al., “Vallda Heberg - Sweden’s largest passive house area with renewable energy (Vallda Heberg – Sveriges största passivhusområde med förnybar energi), in Swedish,” 2014. [Google Scholar]
- R. Westin, “Household electricity in newly built multi-family buildings (Hushållsel i nybyggda flerbostadshus), in Swedish,” 2019. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.