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Original Articles

The use of normative energy calculation beyond building performance rating

, &
Pages 282-292 | Received 01 May 2012, Accepted 09 Aug 2012, Published online: 05 Sep 2012

References

  • Augenbroe, G. , Lee, S. H. , and Lee, J. , 2010. Energy Performance Standard Calculation Toolkit . 2010, [online]. Available from: http://www.epsct.org/ [Accessed 16 August 2012].
  • Burhenne, S. , and Jacob, D. , 2008. Simulation models to optimize the energy consumption of buildings . Presented at 8th International Conference for Enhanced Building Operations. 20–22, October.
  • California Energy Commission and Itron, 2006. California commercial end-use survey – consultant report (2006).
  • Clarke, J. A. , et al., 2004. Using simulation to formulate domestic sector upgrading strategies for Scotland , Energy and Buildings 36 (8) (2004), pp. 759–770, (doi:10.1016/j.enbuild.2004.01.034).
  • Deru, M. , et al., 2011. U.S. Department of Energy commercial reference building models of the national building stock . Golden, CO: National Renewable Energy Laboratory; 2011.
  • de Wit, S. , and Augenbroe, G. , 2002. Analysis of uncertainty in building design evaluations and its implications , Energy and Buildings 34 (2002), pp. 951–958, (doi:10.1016/S0378-7788(02)00070-1).
  • DOE, 2009. Commercial reference buildings . 2009, [online], Available from: http://www1.eere.energy.gov/buildings/commercial_initiative/reference_buildings.html [Accessed 12 March 2012.].
  • European Commission, 2003. "Directive 2002/91/EC of the European Parliament and of the Council of 16 December 2002 on the energy performance of buildings". In: Official Journal of the European Communities . 2003. pp. 65–71, L 1.
  • Griffith, B. , et al., 2007. Assessment of the technical potential for achieving net zero-energy buildings in the commercial sector . Golden, CO: National Renewable Energy Laboratory; 2007.
  • Griffith, B. , et al., 2008. Methodology for modeling building energy performance across the commercial sector . USA: National Renewable Energy Laboratory, U.S. Department of Energy; 2008.
  • Hendron, R. , 2008. Building America research benchmark definition . Golden, CO: National Renewable Energy Laboratory; 2008.
  • Heo, Y. , 2011. Bayesian calibration of building energy models for energy retrofit decision-making under uncertainty . Georgia Institute of Technology; 2011, Thesis (PhD).
  • Hogeling, J. , and van Dijk, D. , 2008. P60 More information on the set of CEN standards for the EPBD. EPBD Building Platform. 3 October 2008. European Commission . 2008.
  • Hopfe, C. J. , 2009. Uncertainty and sensitivity analysis in building performance simulation for decision support and design optimization . Eindhoven University of Technology; 2009, Thesis (PhD).
  • Hu, H. , 2009. Risk-conscious design of off-grid solar energy houses . Georgia Institute of Technology; 2009, Thesis (PhD).
  • Huang, J. , and Franconi, E. , 1999. Commercial heating and cooling loads component analysis . Berkeley, CA: Lawrence Berkeley National Laboratory; 1999.
  • Huang, J. , 1991. 481 prototypical commercial buildings for 20 urban market areas . Berkeley, CA: Lawrence Berkeley National Laboratory; 1991.
  • Huang, J. , Roberson, J. A. , and Sezgen, O. , 2005. Analysis of 1999 CBECS data by commercial building type . Berkeley, CA: Lawrence Berkeley National Laboratory; 2005.
  • Jokisalo, J. , and Kurnitski, J. , 2007. Performance of EN ISO 13790 utilisation factor heat demand calculation method in a cold climate , Energy and Buildings 39 (2007), pp. 236–247, (doi:10.1016/j.enbuild.2006.06.007).
  • Kokogiannakis, G. , and Strachan, P. A. , 2007. Modelling of double ventilated facades according to CEN Standard 13790 method and detailed simulation. Building low energy cooling and advanced ventilation technologies in the 21st century . Presented at 2nd ALENC conference and 28th AIVC conference. 27–29, September.
  • Kokogiannakis, G. , Strachan, P. , and Clarke, J. , 2008. Comparison of the simplified methods of the ISO 13790 standard and detailed modelling programs in a regulatory context , Journal of Building Performance Simulation 1 (2008), pp. 209–219, (doi:10.1080/19401490802509388).
  • Leach, M. , 2010. Technical support document: strategies for 50% energy savings in large office buildings . 2010, National Renewable Energy Laboratory NREL/TP-550-49213.
  • Lee, S. H. , 2012. Management of building energy consumption and energy supply network on campus scale . Georgia Institute of Technology; 2012, Thesis (PhD).
  • Millet, J.-R. , 2007. The simple hourly method of prEN 13790: A dynamic method for the future . Presented at Clima 2007 WellBeing Indoors. 10–14, June.
  • Moon, H. J. , and Augenbroe, G. , 2007. Application of probabilistic simulation and Bayesian decision theory in the selection of mold remediation actions . Presented at Proceedings of the 10th international building performance association performance simulation association conference. 3–6, September.
  • Natarajan, S. , and Levermore, G. J. , 2007. Predicting future UK housing stock and carbon emissions , Energy Policy 35 (2007), pp. 5719–5722, (doi:10.1016/j.enpol.2007.05.034).
  • Orosa, J. A. , and Oliveira, A. C. , 2010. Implementation of a method in EN ISO 13790 for calculating the utilisation factor taking into account different permeability levels of internal coverings , Energy and Buildings 42 (2010), pp. 598–604, (doi:10.1016/j.enbuild.2009.10.030).
  • Parekh, A. , 2005. Development of archetypes of building characteristics libraries for simplified energy use evaluation of houses . Presented at Paper presented at the ninth international IBPSA conference. 15–18, August.
  • Pérez-Lombard, L. , et al., 2009. A review of benchmarking, rating and labelling concepts withing the framework of building energy certification schemes , Energy and Buildings 41 (2009), pp. 272–278, (doi:10.1016/j.enbuild.2008.10.004).
  • Ruchi, C. , 2012. Energy analysis of the non-domestic building stock of Greater London , Building and Environment 51 (2012), pp. 243–254, (doi:10.1016/j.buildenv.2011.10.006).
  • Ruiz-Pardo, A. , Domínguez, S.Á. , and Fernández, J.A.S. , 2010. Revision of the Trombe wall calculation method proposed by UNE-EN ISO 13790 , Energy and Buildings 42 (2010), pp. 763–773, (doi:10.1016/j.enbuild.2009.11.018).
  • Sansregret, S. , and Millette, J. , 2009. Development of a functionality generating simulations of commercial and institutional buildings having representative characteristcs of a real estate stock in Quebec (Canada) . Presented at IBPSA. 27–30, July.
  • Siren, K. , and Hasan, A. , 2007. Comparison of two calculation methods used to estimate cooling energy demand and indoor summer temperatures . Presented at Clima 2007 WellBeing Indoors. 10–14, June.
  • Stocki, M. , Curcija, D. C. , and Bhandari, M. S. , 2007. The development of standardized whole building simulation assumptions for energy analysis for a set of commercial buildings , ASHRAE Transactions 13 (2) (2007), pp. 422–435.
  • Sun, Y. , et al., 2011. Uncertainty quantification of microclimate variables in building energy simulation . Presented at Proceedings of Building Simulation 2011. 14–16, November.
  • van Dijk, H. , Spiekman, M. , and de Wilde, P. , 2005. A monthly method for calculating energy performance in the context of European building regulations . Presented at Ninth International IBPSA Conference. 15–18, August.
  • Yamaguchi, Y. , and Shimoda, Y. , 2009. Database and simulation model development for modelling the energy use of non-residential buildings . Presented at Eleventh international IBPSA conference. 27–30, July.
  • Yamaguchi, Y. , Shimoda, Y. , and Mizuno, M. , 2007. Proposal of a modeling approach considering urban form for evaluation of city level energy management , Energy and Buildings 39 (2007), pp. 580–592, (doi:10.1016/j.enbuild.2006.09.011).
  • Zhao, F. , 2012. Agent-based modeling of commercial building stocks for energy policy and demand response analysis . Georgia Institute of Technology; 2012, Thesis (PhD).
  • Zhao, F. , et al., 2010. Agent-based modeling of interaction between commercial building stocks and power grid . Presented at IEEE conference. 27–29, September.

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