Climate change; Heating energy demand; Cooling energy demand; Building stock; Renovation strategies
Abstract :
[en] Climate change has a broad impact on different aspects of energy use in buildings. This study explores potential changes in future heating and cooling energy demands. Increasing comfort expectations resulting from events like the extraordinary summer heatwaves in Europe are accelerating this trend to develop future scenarios for a better understanding of the relationship between future climate changes and the cooling need. This study used future weather data to estimate the heating and cooling energy demands in the Belgian building stock by 2050 and 2100 under base and business-as-usual scenarios using a dynamic building simulation model. The study showed that heating energy demand in the base scenario is expected to decrease by 8% to 13% in the 2050s and 13% to 22% in the 2090s compared to the 2010s. Additionally, the cooling energy demand is expected to increase by 39% to 65% in the 2050s and by 61% to 123% in the 2090s compared to the 2010s. Retrofit strategies applied to different building types contribute to lower the increase in cooling energy demand in the business-as-usual scenario compared to the base scenario. The cooling energy demand for an average building in the business-as-usual scenario is expected to increase with a range of 25% to 71% in the 2050s compared to 45% to 92% in the base scenario and 77% to 154% in the 2090s compared to 72% to 198% in the base scenario compared to the 2010s. The findings of the study provide insights to mitigate the impacts of climate change on heating and cooling energy demands.
Disciplines :
Energy
Author, co-author :
El Nagar, Essam ; Université de Liège - ULiège > Aérospatiale et Mécanique (A&M)
Gendebien, Samuel ; Université de Liège - ULiège > Aérospatiale et Mécanique (A&M)
Georges, Emeline
Berardi, Umberto
Doutreloup, Sébastien ; Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Lemort, Vincent ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Thermodynamique appliquée
Language :
English
Title :
Framework to assess climate change impact on heating and cooling energy demands in building stock: A case study of Belgium in 2050 and 2100
Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press; 2021.
Eyring, V., Bony, S., Meehl, G.A., Senior, C.A., Stevens, B., Stouffer, R.J., Taylor, K.E., Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev. 9:5 (2016), 1937–1958.
Elnagar, E., Zeoli, A., Rahif, R., Attia, S., Lemort, V., A qualitative assessment of integrated active cooling systems: A review with a focus on system flexibility and climate resilience. Renew. Sustain. Energy Rev., 175, 2023, 113179, 10.1016/j.rser.2023.113179.
Ruosteenoja, K., Räisänen, P., Seasonal Changes in Solar Radiation and Relative Humidity in Europe in Response to Global Warming. J. Clim. 26 (2013), 2467–2481, 10.1175/JCLI-D-12-00007.1.
Karl, T.R., Melillo, J.M., Peterson, T.C., Global climate change impacts in the United States. 2009, Cambridge University Press.
Wyard, C., Doutreloup, S., Belleflamme, A., Wild, M., Fettweis, X., Global Radiative Flux and Cloudiness Variability for the Period 1959–2010 in Belgium: A Comparison between Reanalyses and the Regional Climate Model MAR. Atmos., 9, 2018, 262, 10.3390/atmos9070262.
Nakicenovic, N., Alcamo, J., Davis, G., de Vries, B., Fenhann, J., Gaffin, S., et al. Special Report on Emissions Scenarios. A SpecialReport of Working Group III of the Intergovernmental Panel on ClimateChange. 2000, Cambridge University Press, Cambridge, UK and New York, NY, USA.
Riahi, K., van Vuuren, D.P., Kriegler, E., Edmonds, J., O'Neill, B.C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp, A., Cuaresma, J.C., Kc, S., Leimbach, M., Jiang, L., Kram, T., Rao, S., Emmerling, J., Ebi, K., Hasegawa, T., Havlik, P., Humpenöder, F., Da Silva, L.A., Smith, S., Stehfest, E., Bosetti, V., Eom, J., Gernaat, D., Masui, T., Rogelj, J., Strefler, J., Drouet, L., Krey, V., Luderer, G., Harmsen, M., Takahashi, K., Baumstark, L., Doelman, J.C., Kainuma, M., Klimont, Z., Marangoni, G., Lotze-Campen, H., Obersteiner, M., Tabeau, A., Tavoni, M., The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Glob. Environ. Chang. 42 (2017), 153–168.
al J, Paasche Ø. IPCC [Intergovernmental Panel on Climate Change]. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the IPCC. Cambridge, United Kingdom Cambridge University Press. vol. 499–587, 2007, p. 434–97.
Ürge-Vorsatz, D., Cabeza, L.F., Serrano, S., Barreneche, C., Petrichenko, K., Heating and cooling energy trends and drivers in buildings. Renew. Sustain. Energy Rev. 41 (2015), 85–98, 10.1016/j.rser.2014.08.039.
Wang, H., Chen, Q., Impact of climate change heating and cooling energy use in buildings in the United States. Energ. Buildings 82 (2014), 428–436, 10.1016/j.enbuild.2014.07.034.
Frank, T.h., Climate change impacts on building heating and cooling energy demand in Switzerland. Energ. Buildings 37 (2005), 1175–1185, 10.1016/j.enbuild.2005.06.019.
Pérez-Andreu, V., Aparicio-Fernández, C., Martínez-Ibernón, A., Vivancos, J.-L., Impact of climate change on heating and cooling energy demand in a residential building in a Mediterranean climate. Energy 165 (2018), 63–74, 10.1016/j.energy.2018.09.015.
Berardi, U., Jafarpur, P., Assessing the impact of climate change on building heating and cooling energy demand in Canada. Renew. Sustain. Energy Rev., 121, 2020, 109681, 10.1016/j.rser.2019.109681.
Invidiata, A., Ghisi, E., Impact of climate change on heating and cooling energy demand in houses in Brazil. Energ. Buildings 130 (2016), 20–32, 10.1016/j.enbuild.2016.07.067.
Nik, V.M., Sasic, K.A., Impact study of the climate change on the energy performance of the building stock in Stockholm considering four climate uncertainties. Build. Environ. 60 (2013), 291–304, 10.1016/j.buildenv.2012.11.005.
Attia, S., Gobin, C., Climate Change Effects on Belgian Households: A Case Study of a Nearly Zero Energy Building. Energies, 13, 2020, 5357, 10.3390/en13205357.
Doutreloup, S., Fettweis, X., Rahif, R., Elnagar, E., Pourkiaei, M.S., Amaripadath, D., Attia, S., Historical and future weather data for dynamic building simulations in Belgium using the regional climate model MAR: typical and extreme meteorological year and heatwaves. Earth Syst. Sci. Data 14:7 (2022), 3039–3051.
Gendebien, S., Georges, E., Bertagnolio, S., Lemort, V., Methodology to characterize a residential building stock using a bottom-up approach: a case study applied to Belgium. Int. J. Sustain. Energy Plann. Manage., 2015:, 71, 10.5278/IJSEPM.2014.4.7.
Mastrucci, A., Marvuglia, A., Leopold, U., Benetto, E., Life Cycle Assessment of building stocks from urban to transnational scales: A review. Renew. Sustain. Energy Rev. 74 (2017), 316–332, 10.1016/j.rser.2017.02.060.
Kavgic, M., Mavrogianni, A., Mumovic, D., Summerfield, A., Stevanovic, Z., Djurovic-Petrovic, M., A review of bottom-up building stock models for energy consumption in the residential sector. Build. Environ. 45 (2010), 1683–1697, 10.1016/j.buildenv.2010.01.021.
Reiter, S., Marique, A.-F., Toward Low Energy Cities: A Case Study of the Urban Area of Liége, Belgium. J. Ind. Ecol. 16 (2012), 829–838, 10.1111/j.1530-9290.2012.00533.x.
Shorrock, L., Dunster, J., The physically-based model BREHOMES and its use in deriving scenarios for the energy use and carbon dioxide emissions of the UK housing stock. Energy Policy 25 (1997), 1027–1037, 10.1016/S0301-4215(97)00130-4.
Verellen, E., Allacker, K., Developing a Building Stock Model to Enable Clustered Renovation—The City of Leuven as Case Study. Sustainability, 14, 2022, 5769, 10.3390/su14105769.
Huang, Y.J., Brodrick, J., A bottom-up engineering estimate of the aggregate heating and cooling loads of the entire U.S. building stock, 2000.
Langevin, J., Reyna, J.L., Ebrahimigharehbaghi, S., Sandberg, N., Fennell, P., Nägeli, C., Laverge, J., Delghust, M., Mata, É., Van Hove, M., Webster, J., Federico, F., Jakob, M., Camarasa, C., Developing a common approach for classifying building stock energy models. Renew. Sustain. Energy Rev., 133, 2020, 110276.
Ghedamsi, R., Settou, N., Gouareh, A., Khamouli, A., Saifi, N., Recioui, B., Dokkar, B., Modeling and forecasting energy consumption for residential buildings in Algeria using bottom-up approach. Energ. Buildings 121 (2016), 309–317.
Nishimwe, A.M.R., Reiter, S., Building heat consumption and heat demand assessment, characterization, and mapping on a regional scale: A case study of the Walloon building stock in Belgium. Renew. Sustain. Energy Rev., 135, 2021, 110170, 10.1016/j.rser.2020.110170.
Reynders G, Diriken J, Saelens D. Bottom-up modeling of the Belgian residential building stock: influence of model complexity. Proceedings of the 9th International Conference on System Simulation in Buildings - SSB2014, 2014.
Georges E, Gendebien S, Dechesne B, Bertagnolio S, Lemort V. Impact of the integration of various heating technologies on the energy load profiles of the Belgian residential building stock. Proceedings of IRES 2013 conference, 2013.
Georges E, Gendebien S, Bertagnolio S, Lemort V. Modeling and simulation of the domestic energy use in Belgium following a bottom-up approach. Proceedings of the CLIMA 2013 11th REHVA World Congress & 8th International Conference on IAQVEC, 2013.
Protopapadaki C, Reynders G, Saelens D. Bottom-up modelling of the Belgian residential building stock: impact of building stock descriptions. Proceedings of the 9th International Conference on System Simulation in Buildings-SSB2014, Belgium; 2014.
Cyx W, Renders N, Van Holm M, Verbeke S. IEE TABULA-typology approach for building stock energy assessment. Mol, Belgium 2011.
Vanneste D, Thomas I, Goossens L. Enquête socio-économique 2001 - Monographie «Le logement en Belgique». SPF Economie, Direction generale Statistique et Information Economique (DGSIE), Politique scientifique fédérale; 2007.
Hens, H., Verbeeck, G., Verdonck, B., Impact of energy efficiency measures on the CO2 emissions in the residential sector, a large scale analysis. Energ. Buildings 33 (2001), 275–281, 10.1016/S0378-7788(00)00092-X.
Gendebien S. Economic and environmental impacts of several retrofit options for residential buildings 2011.
Allacker K. Sustainable Building: The Development of an Evaluation Method (Duurzaam bouwen: ontwikkeling van een evaluatiemethode op gebouwniveau). 2010.
Allacker, K., De Troyer, F., Trigaux, D., Geerken, T., Spirinckx, C., Debacker, W., et al. Sustainability, Financial and Quality evaluation of Dwelling Types - SuFiQuaD - FINAL REPORT. 2011, Belgian Science Policy Belspo, Brussels.
EUROSTAT. Statistics Belgium. EUROPEAN STATISTICAL RECOVERY DASHBOARD 2011. https://statbel.fgov.be/en.
Kints C. La rénovation énergétique et durable des logements Wallons. Analyse du bâti existant et mise en évidence de typologies de logements prioritaires. Architecture & Climat, Louvain-La-Neuve: 2008.
Elnagar E, Davila C, Lemort V. Impact of integration of electric and gas heat pumps on the final energy consumption of Belgian residential building stock. CLIMA 2022 conference, 2022. https://doi.org/10.34641/clima.2022.102.
Van Hecke E, Jean-Marie H, Decroly J-M, Mérenne-Schoumaker B. Noyaux d'habitat et Régions urbaines dans une Belgique urbanisée 2009.
Department of Energy and Sustainable Buildings - Office for Sustainable Buildings. WALLOON LONG-TERM BUILDING RENOVATION STRATEGY. 2021.
Boermans T, Bettgenhäuser K, Offermann M, Schimschar S. Renovation tracks for Europe up to 2050. 2012.
Verhoeven, R., Pathways to World-Class energy efficiency in Belgium. 2009, McKinsey & Company-2009, Belgium.
European Union. Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings. 2010.
Doutreloup, S., Wyard, C., Amory, C., Kittel, C., Erpicum, M., Fettweis, X., Sensitivity to Convective Schemes on Precipitation Simulated by the Regional Climate Model MAR over Belgium (1987–2017). Atmos., 10, 2019, 34, 10.3390/atmos10010034.
Wyard, C., Scholzen, C., Doutreloup, S., Hallot, É., Fettweis, X., Future evolution of the hydroclimatic conditions favouring floods in the south-east of Belgium by 2100 using a regional climate model. Int. J. Climatol. 41 (2021), 647–662, 10.1002/joc.6642.
Fettweis X, Wyard C, Doutreloup S, Belleflamme A. Noël 2010 en Belgique : neige en Flandre et pluie en Haute-Ardenne. https://popups.uliege.be/0770-7576 n.d. https://popups.uliege.be/0770-7576/index.php?id=4568&format=print (accessed January 20, 2022).
Doutreloup S, Bois B, Pohl B, Zito S, Richard Y. Climatic comparison between Belgium, Champagne, Alsace, Jura and Bourgogne for wine production using the regional model MAR. OENO One 2022;56:1–17. https://doi.org/10.20870/oeno-one.2022.56.3.5356.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., Thépaut, J.-N., The ERA5 global reanalysis. QJR Meteorol. Soc 146:730 (2020), 1999–2049.
Wu, T., Yu, R., Lu, Y., Jie, W., Fang, Y., Zhang, J., et al. BCC-CSM2-HR: A High-Resolution Version of the Beijing Climate Center Climate System Model. Clim. Earth Syst. Model., 2020, 10.5194/gmd-2020-284.
Gutjahr, O., Putrasahan, D., Lohmann, K., Jungclaus, J.H., von Storch, J.-S., Brüggemann, N., Haak, H., Stössel, A., Max Planck Institute Earth System Model (MPI-ESM1.2) for the High-Resolution Model Intercomparison Project (HighResMIP). Geosci. Model Dev. 12:7 (2019), 3241–3281.
Tatebe, H., Ogura, T., Nitta, T., Komuro, Y., Ogochi, K., Takemura, T., Sudo, K., Sekiguchi, M., Abe, M., Saito, F., Chikira, M., Watanabe, S., Mori, M., Hirota, N., Kawatani, Y., Mochizuki, T., Yoshimura, K., Takata, K., O'ishi, R., Yamazaki, D., Suzuki, T., Kurogi, M., Kataoka, T., Watanabe, M., Kimoto, M., Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6. Geosci. Model Dev. 12:7 (2019), 2727–2765.
Elnagar E, Doutreloup S, Lemort V. Modeling the impact of Climate Change on Future Heating Demand in Different Types of Buildings in the Belgian residential building stock, 2021. https://doi.org/10.26868/25222708.2021.30851.
Eyring, V., Gillett, N.P., Achutarao, K., Barimalala, R., Barreiro Parrillo, M., Bellouin, N., et al. Human Influence on the Climate System. ClImate Change 2021: the PhysIcal ScIence BasIs. ContrIbutIon of WorkIng Group I to the SIxth Assessment Report of the Intergovernmental Panel on ClImate Change, 2021, Cambridge University Press.
Wilcox S, Marion W. Users Manual for TMY3 Data Sets. National Renewable Energy Lab. (NREL), Golden, CO (United States); 2008. https://doi.org/10.2172/928611.
Barnaby, C.S., Crawley, U.B., Weather data for building performance simulation. 2011, Routledge, Building Performance Simulation for Design and Operation.
Ramon, D., Allacker, K., van Lipzig, N.P.M., De Troyer, F., Wouters, H., Future Weather Data for Dynamic Building Energy Simulations: Overview of Available Data and Presentation of Newly Derived Data for Belgium. Motoasca, E., Agarwal, A.K., Breesch, H., (eds.) Energy Sustainability in Built and Urban Environments, 2019, Springer Singapore, Singapore, 111–138, 10.1007/978-981-13-3284-5_6.
International Organization for Standardization. European Standard: ISO 15927-4 Hygrothermal performance of buildings — calculation and presentation of climatic data — Part 4: Hourly data for assessing the annual energy use for heating and cooling. 2005.
International Organization for Standardization. EN ISO 13790:2008 - Energy performance of buildings. Calculation of energy use for space heating and cooling: BSI British Standards; n.d. https://doi.org/10.3403/30133624.
Bruno, R., Pizzuti, G., Arcuri, N., The Prediction of Thermal Loads in Building by Means of the EN ISO 13790 Dynamic Model: A Comparison with TRNSYS. Energy Procedia 101 (2016), 192–199, 10.1016/j.egypro.2016.11.025.
Michalak, P., The simple hourly method of EN ISO 13790 standard in Matlab/Simulink: A comparative study for the climatic conditions of Poland. Energy 75 (2014), 568–578.
Vivian, J., Zarrella, A., Emmi, G., De Carli, M., An evaluation of the suitability of lumped-capacitance models in calculating energy needs and thermal behaviour of buildings. Energ. Buildings 150 (2017), 447–465, 10.1016/j.enbuild.2017.06.021.
Ballarini I, Costantino A, Fabrizio E, Corrado V. The Dynamic Model of EN ISO 52016-1 for the Energy Assessment of Buildings Compared to Simplified and Detailed Simulation Methods, Rome, Italy: n.d., p. 3847–54. https://doi.org/10.26868/25222708.2019.210431.
van Dijk D. EN ISO 52016 1: The new International Standard to calculate building energy needs for heating and cooling, internal temperature and heating and cooling loads. Proceedings of the Building Simulation, 2019.
Li, Y., O'Neill, Z., Zhang, L., Chen, J., Im, P., DeGraw, J., Grey-box modeling and application for building energy simulations - A critical review. Renew. Sustain. Energy Rev., 146, 2021, 111174, 10.1016/j.rser.2021.111174.
Jenkins, D., Liu, Y., Peacock, A.D., Climatic and internal factors affecting future UK office heating and cooling energy consumptions. Energy and Buildings 40 (2008), 874–881, 10.1016/j.enbuild.2007.06.006.
Jenkins, D.P., The importance of office internal heat gains in reducing cooling loads in a changing climate. International Journal of Low-Carbon Technologies 4 (2009), 134–140, 10.1093/ijlct/ctp019.
Statistics Belgium. 2011 census - Average size of private households n.d. https://www.census2011.be/data/fresult/householdsize_fr.html (accessed February 15, 2023).
International Standard Organization. ISO 17772-1:2017 Energy performance of buildings — Indoor environmental quality — Part 1: Indoor environmental input parameters for the design and assessment of energy performance of buildings 2017.
American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta. ASHRAE Handbook—1981 Fundamentals - Chapter 22 Ventilation and Infiltration. Building Services Engineering Research and Technology 1981;2:193–193.
Atamaca, M., Kalaycıoğlu, E., Yilmaz, Z., Evaluation of the Heating & Cooling Energy Demand of a Case Residential Building by Comparing The National Calculation Methodology of Turkey and EnergyPlus through Thermal Capacity Calculations. ICEBO - International Conference for Enhanced Building Operations, 2011.
Costantino, A., Fabrizio, E., Ghiggini, A., Bariani, M., Climate control in broiler houses: A thermal model for the calculation of the energy use and indoor environmental conditions. Energ. Buildings 169 (2018), 110–126, 10.1016/j.enbuild.2018.03.056.
Jafarpur, P., Berardi, U., Effects of climate changes on building energy demand and thermal comfort in Canadian office buildings adopting different temperature setpoints. Journal of Building Engineering, 42, 2021, 102725, 10.1016/j.jobe.2021.102725.
Elnagar, E., Köhler, B., Reduction of the Energy Demand With Passive Approaches in Multifamily Nearly Zero-Energy Buildings Under Different Climate Conditions. Front. Energy Res., 2020, 8, 10.3389/fenrg.2020.545272.
Elnagar E, Lemort V. Cooling Concepts for Residential Buildings: A Comparison Under Climate Change Scenarios. International High Performance Buildings Conference, 2022.
Tan, G., Glicksman, L.R., Application of integrating multi-zone model with CFD simulation to natural ventilation prediction. Energ. Buildings 37 (2005), 1049–1057, 10.1016/j.enbuild.2004.12.009.
Koeln, J., Keating, B., Alleyne, A., Price, C., Rasmussen, B.P., Multi-zone Temperature Modeling and Control. Wen, J.T., Mishra, S., (eds.) Intelligent Building Control Systems: A Survey of Modern Building Control and Sensing StrAtegies, 2018, Springer International Publishing, Cham, 139–166, 10.1007/978-3-319-68462-8_6.
Karger, D.N., Schmatz, D.R., Dettling, G., Zimmermann, N.E., High-resolution monthly precipitation and temperature time series from 2006 to 2100. Sci. Data, 7, 2020, 248, 10.1038/s41597-020-00587-y.
Collins, M., Ashok, K., Barreiro, M., Roxy, M.K., Kang, S.M., Frölicher, T.L., Wang, G., Tedeschi, R.G., Editorial: New Techniques for Improving Climate Models, Predictions and Projections. Front. Clim., 3, 2021, 811205, 10.3389/fclim.2021.811205.