Abstract
Currently, the energy consumption study in buildings is critical in fulfilling the EU objectives to achieve carbon neutrality. There are several building energy simulation tools and other spreadsheets available on the market. One of the main software tools, the EnergyPlus software, and two Excel spreadsheets developed in Portugal to assess the thermal loads and annual energy consumption in commercial and service buildings are used and compared in this work. A simple 3D building was modeled using SketchUp2017, and the schedules, materials, and thermal loads were defined for a typical residential and service building to perform this analysis.
Concerning the thermal loads, the simulation of a building without insulation using EnergyPlus showed results for heating and cooling, respectively 10% lower and 6% higher when compared with those predicted by RECS with the transient spreadsheet. Comparing with the simplified spreadsheet for the REH, the discrepancy is more significant. These discrepancies occur because RECS and REH use a simple methodology compared with EnergyPlus. The results for heating and cooling in EnergyPlus when a building has insulation show that the heating and cooling demand is 46% lower and 25% higher compared with the results with RECS, respectively. These results show that insulation reduces the heating demand although it impairs the cooling demand when compared with the building without insulation.
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References
EU Commission, Energy-European Commision 2021. https://ec.europa.eu/info/index_pt. Accessed 26 Mar 2021
Pérez-Lombard, L., Ortiz, J., Pout, C.: A review on buildings energy consumption information. Energy Build. 40(3), 394–398 (2008)
EU Commission, Energy performance of buildings directive 2021. https://ec.europa.eu/energy/topics/energy-efficiency/energy-efficient-buildings/energy-performance-buildings-directive_en. Accessed 16 Jun 2021
Economidou, M., et al.: Review of 50 years of EU energy efficiency policies for buildings. Energy Build. 225, 110322 (2020)
Hashempour, N., Taherkhani, R., Mahdikhani, M.: Energy performance optimization of existing buildings: a literature review. Sustain. Cities Soc. 54, 101967 (2020)
De Boeck, L., Verbeke, S., Audenaert, A., De Mesmaeker, L.: Improving the energy performance of residential buildings: a literature review. Renew. Sustain. Energy Rev. 52, 960–975 (2015)
Ahern, C., Norton, B.: Energy performance certification: misassessment due to assuming default heat losses. Energy Build. 224, 110229 (2020)
Verichev, K., Zamorano, M., Carpio, M.: Assessing the applicability of various climatic zoning methods for building construction: case study from the extreme southern part of Chile. Build. Environ. 160, 106165 (2019)
Gonzalez-Caceres, A., Lassen, A.K., Nielsen, T.R.: Barriers and challenges of the recommendation list of measures under the EPBD scheme: a critical review. Energy Build. 223, 110065 (2020)
Sanhudo, L., et al.: BIM framework for the specification of information requirements in energy-related projects, Eng. Constr. Archit. Manag. (2020)
Ríos-Fernández, J.C., et al.: Evaluating European directives impacts on residential buildings energy performance: a case study of Spanish detached houses, Clean Technol. Environ. Policy (2021)
Shrivastava, R.L., Vinod, K., Untawale, S.P.: Modeling and simulation of solar water heater: a TRNSYS perspective. Renew. Sustain. Energy Rev. 67, 126–143 (2017)
Sadeghifam, A.N., Zahraee, S.M., Meynagh, M.M., Kiani, I.: Combined use of design of experiment and dynamic building simulation in assessment of energy efficiency in tropical residential buildings. Energy Build. 86, 525–533 (2015)
Silva, J., Brás, J., Noversa, R., Rodrigues, N., Martins, L., Teixeira, J., Teixeira, S.: Energy performance of a service building: comparison between energyplus and revit. In: Gervasi, O. (ed.) Computational Science and Its Applications – ICCSA 2020. LNCS, vol. 12254, pp. 201–213. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58817-5_16
Esteves, D., Silva, J., Rodrigues, N., Martins, L., Teixeira, J., Teixeira, S.: Simulation of PMV and PPD thermal comfort using energyplus. In: Misra, S. (ed.) Computational Science and Its Applications – ICCSA 2019. LNCS, vol. 11624, pp. 52–65. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24311-1_4
Noversa, R., Silva, J., Rodrigues, N., Martins, L., Teixeira, J., Teixeira, S.: Thermal simulation of a supermarket cold zone with integrated assessment of human thermal comfort. In: Gervasi, O. (ed.) Computational Science and Its Applications – ICCSA 2020. LNCS, vol. 12254, pp. 214–227. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58817-5_17
Despacho no 15793-F, Zonamento Climático, Diário da República, 2(234), 26–31 (2013)
Diário da Républica, Decreto-Lei n.o 118/2013, DE 20 DE agosto (desempenho energético dos edifícios), Diário da República, 159, 4988–5005 (2013)
Do Emprego, M.D.E.E.: Portaria n.o 349-D/2013, de 2 de dezembro, Diário da Répuplica, 40, 40–73 (2013)
ISO ISO 13790:2008-Energy performance of buildings. calculation of energy use for space heating and cooling (2016)
Berkeley, L., et al., EnergyPlus Essentials (2019)
Brackney, L., Parker, A., Macumber, D., Benne, K.: Building Energy Modeling with OpenStudio. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-77809-9
Berkeley, L., et al.: Engineering Reference (2019)
Acknowledgments
The authors would like to express their gratitude for the support given by FCT within the R&D Units Project Scope UIDB/00319/2020 (ALGORITMI) and R&D Units Project Scope UIDP/04077/2020 (MEtRICs).
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Esteves, D., Silva, J., Martins, L., Teixeira, J., Teixeira, S. (2021). Building Energy Performance: Comparison Between EnergyPlus and Other Certified Tools. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12949. Springer, Cham. https://doi.org/10.1007/978-3-030-86653-2_36
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