Thermal comfort; Global warming; Overheating; Cooling strategy; Climate change
Abstract :
[en] Over the last decades overheating in buildings has become a major concern. The situation is expected to worsen due to the current rate of climate change. Many efforts have been made to evaluate the future thermal performance of buildings and cooling technologies. In this paper, the term “climate change overheating resistivity” of cooling strategies is defined, and the calculation method is provided. A comprehensive simulation-based framework is then introduced, enabling the evaluation of a wide range of active and passive cooling strategies. The framework is based on the Indoor Overheating Degree (IOD), Ambient Warmness Degree (AWD), and Climate Change Overheating Resistivity (CCOR) as principal indicators allowing a multi-zonal approach in the quantification of indoor overheating risk and resistivity to climate change. To test the proposed framework, two air-based cooling strategies including a Variable Refrigerant Flow (VRF) unit coupled with a Dedicated Outdoor Air System (DOAS) (C01) and a Variable Air Volume (VAV) system (C02) are compared in six different locations/climates. The case study is a shoe box model representing a double-zone office building. In general, the C01 shows higher CCOR values between 2.04 and 19.16 than the C02 in different locations. Therefore, the C01 shows superior resistivity to the overheating impact of climate change compared to C02. The maximum CCOR value of 37.46 is resulted for the C01 in Brussels, representing the most resistant case, whereas the minimum CCOR value of 9.24 is achieved for the C02 in Toronto, representing the least resistant case.
Research Center/Unit :
Sustainable Building Design Lab
Disciplines :
Energy
Author, co-author :
Rahif, Ramin ; Université de Liège - ULiège > Département ArGEnCo > Techniques de construction des bâtiments
Hamdy, Mohamed; Norwegian University of Science and Technology > Department of Civil and Environmental Engineering
Homaei, Shabnam; Norwegian University of Science and Technology > Department of Civil and Environmental Engineering
Zhang, Chen; Aalborg University > Department of the Built Environment
Holzer, Peter; Institute of Building Research and Innovation, Vienna, Austria
Attia, Shady ; Université de Liège - ULiège > Département ArGEnCo > Techniques de construction des bâtiments
Language :
English
Title :
Simulation-based framework to evaluate resistivity of cooling strategies in buildings against overheating impact of climate change
Publication date :
15 January 2022
Journal title :
Building and Environment
ISSN :
0360-1323
eISSN :
1873-684X
Publisher :
Elsevier, United Kingdom
Volume :
208
Pages :
108599
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
[OCCuPANt] Impacts of climate change on buildings in Belgium during summer
Attia, S., et al. Resilient cooling of buildings to protect against heat waves and power outages: key concepts and definition. Energy Build., Mar. 2021, 110869, 10.1016/j.enbuild.2021.110869.
Hooyberghs, H., Verbeke, S., Lauwaet, D., Costa, H., Floater, G., De Ridder, K., Influence of climate change on summer cooling costs and heat stress in urban office buildings. Climatic Change 144:4 (Oct. 2017), 721–735, 10.1007/s10584-017-2058-1.
Khosla, R., et al. Cooling for sustainable development. Nat. Sustain 4:3 (2021), 201–208, 10.1038/s41893-020-00627-w.
C. Zhang et al., “Resilient cooling strategies- a critical review and qualitative assessment,” Energy Build., In press., 2021.
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.
Izar-Tenorio, J., Jaramillo, P., Griffin, W.M., Small, M., Impacts of projected climate change scenarios on heating and cooling demand for industrial broiler chicken farming in the Eastern US. J. Clean. Prod., 255, 2020, 120306, 10.1016/j.jclepro.2020.120306.
Larsen, M.A.D., Petrović, S., Radoszynski, A., McKenna, R., Balyk, O., Climate change impacts on trends and extremes in future heating and cooling demands over Europe. Energy Build., 226, 2020, 110397, 10.1016/j.enbuild.2020.110397.
Luan, W., Li, X., Rapid urbanization and its driving mechanism in the Pan-Third Pole region. Sci. Total Environ., 750, Jan. 2021, 141270, 10.1016/j.scitotenv.2020.141270.
O’ Donovan, A., Murphy, M.D., O'Sullivan, P.D., Passive control strategies for cooling a non-residential nearly zero energy office: simulated comfort resilience now and in the future. Energy Build., 231, Jan. 2021, 110607, 10.1016/j.enbuild.2020.110607.
Chiesa, G., Zajch, A., Contrasting climate-based approaches and building simulations for the investigation of Earth-to-air heat exchanger (EAHE) cooling sensitivity to building dimensions and future climate scenarios in North America. Energy Build., 227, 2020, 110410, 10.1016/j.enbuild.2020.110410.
Rey-Hernández, J.M., Yousif, C., Gatt, D., Velasco-Gómez, E., San José-Alonso, J., Rey-Martínez, F.J., Modelling the long-term effect of climate change on a zero energy and carbon dioxide building through energy efficiency and renewables. Energy Build. 174 (2018), 85–96, 10.1016/j.enbuild.2018.06.006.
Ibrahim, A., Pelsmakers, S.L., Low-energy housing retrofit in North England: overheating risks and possible mitigation strategies. Build. Serv. Eng. Technol., 39(2), Mar. 2018, 10.1177/0143624418754386 Art. no. 2.
Feist, W., Kaufmann, B., Schnieders, J., Kah, O., Passive House Planning Package. 2015, Passive House Institute, Darmstadt, Germany.
Hamdy, M., Carlucci, S., Hoes, P.-J., Hensen, J.L.M., The impact of climate change on the overheating risk in dwellings—a Dutch case study. Build. Environ. 122 (Sep. 2017), 307–323, 10.1016/j.buildenv.2017.06.031.
Lomas, K.J., Ji, Y., Resilience of naturally ventilated buildings to climate change: advanced natural ventilation and hospital wards. Energy Build. 41:6 (Jun. 2009), 629–653, 10.1016/j.enbuild.2009.01.001.
Hanby, V.I., Smith, S.T., Simulation of the future performance of low-energy evaporative cooling systems using UKCP09 climate projections. Build. Environ. 55 (2012), 110–116, 10.1016/j.buildenv.2011.12.018.
Lomas, K.J., Giridharan, R., Thermal comfort standards, measured internal temperatures and thermal resilience to climate change of free-running buildings: a case-study of hospital wards. Build. Environ. 55 (Sep. 2012), 57–72, 10.1016/j.buildenv.2011.12.006.
Gupta, R., Gregg, M., Using UK climate change projections to adapt existing English homes for a warming climate. Build. Environ. 55 (2012), 20–42, 10.1016/j.buildenv.2012.01.014.
Sajjadian, S.M., Lewis, J., Sharples, S., The potential of phase change materials to reduce domestic cooling energy loads for current and future UK climates. Energy Build. 93 (2015), 83–89, 10.1016/j.enbuild.2015.02.029.
Pagliano, L., Carlucci, S., Causone, F., Moazami, A., Cattarin, G., Energy retrofit for a climate resilient child care centre. Energy Build. 127 (Sep. 2016), 1117–1132, 10.1016/j.enbuild.2016.05.092.
Barbosa, R., Vicente, R., Santos, R., Climate change and thermal comfort in Southern Europe housing: a case study from Lisbon. Build. Environ. 92 (Oct. 2015), 440–451, 10.1016/j.buildenv.2015.05.019.
Congedo, P.M., Baglivo, C., Seyhan, A.K., Marchetti, R., Worldwide dynamic predictive analysis of building performance under long-term climate change conditions. J. Build Eng., 42, Oct. 2021, 103057, 10.1016/j.jobe.2021.103057.
Dodoo, A., Gustavsson, L., Bonakdar, F., Effects of future climate change scenarios on overheating risk and primary energy use for Swedish residential buildings. Energy. Procedia 61 (Jan. 2014), 1179–1182, 10.1016/j.egypro.2014.11.1048.
Alves, C.A., Duarte, D.H.S., Gonçalves, F.L.T., Residential buildings' thermal performance and comfort for the elderly under climate changes context in the city of São Paulo, Brazil. Energy Build. 114 (Feb. 2016), 62–71, 10.1016/j.enbuild.2015.06.044.
Peacock, A.D., Jenkins, D.P., Kane, D., Investigating the potential of overheating in UK dwellings as a consequence of extant climate change. Energy Pol. 38:7 (Jul. 2010), 3277–3288, 10.1016/j.enpol.2010.01.021.
Van Vuuren, D.P., et al. The representative concentration pathways: an overview. Climatic Change 109:1 (2011), 5–31, 10.1007/s10584-011-0148-z.
Cibse Guide, A., Cibse Guide, A., Environmetnal Design. 2006, 2006, Chartered Institution of Building Services Engineers, London, UK.
Herrera, M., et al. A review of current and future weather data for building simulation. Build. Serv. Eng. Technol. 38:5 (2017), 602–627, 10.1177/0143624417705937.
Moazami, A., Nik, V.M., Carlucci, S., Geving, S., Impacts of future weather data typology on building energy performance – investigating long-term patterns of climate change and extreme weather conditions. Appl. Energy 238 (Mar. 2019), 696–720, 10.1016/j.apenergy.2019.01.085.
Bravo Dias, J., Carrilho da Graça, G., Soares, P.M.M., Comparison of methodologies for generation of future weather data for building thermal energy simulation. Energy Build., 206, Jan. 2020, 109556, 10.1016/j.enbuild.2019.109556.
Ansi/Ashrae Standard 169.1. Standard 169.1-2013: climatic data for building design standards. Climatic Data. Build. Des. Stand., 2013.
Mohajerani, A., Bakaric, J., Jeffrey-Bailey, T., The urban heat island effect, its causes, and mitigation, with reference to the thermal properties of asphalt concrete. J. Environ. Manag. 197 (2017), 522–538, 10.1016/j.jenvman.2017.03.095.
Ansi/Ashrae Standard 90.1. Standard 90.1-2013: energy standards for buildings except low-rise residential buildings. Climatic Data. Build. Des. Stand., 2019.
ISO 18523-1, “"ISO 18523-1: Energy Performance of Buildings — Schedule and Condition of Building, Zone and Space Usage for Energy Calculation — Part 1: Non-residential buildings.,” P. Geneva, Switzerland, 2016.
ISO 18523-2, “"ISO 18523-2: Energy Performance of Buildings — Schedule and Condition of Building, Zone and Space Usage for Energy Calculation — Part 2: Residential buildings.,” P. Geneva, Switzerland, 2017.
ISO 17772-1, “ISO 17772-1: Energy Performance of Buildings - Indoor Environmental Quality. Part 1: Indoor Environmental Input Parameters for the Design and Assessment of Energy Performance in Buildings”. Geneva, Switzerland, 2017.
Corgnati, S.P., Fabrizio, E., Filippi, M., Monetti, V., Reference buildings for cost optimal analysis: method of definition and application. Appl. Energy 102 (2013), 983–993, 10.1016/j.apenergy.2012.06.001.
Guolo, Erika, Pistore, Lorenza, Romagnoni, Piercarlo, The role of the reference building in the evaluation of energy efficiency measures for large stocks of public buildings. E3S Web Conf., 111, 2019, 3017, 10.1051/e3sconf/201911103017.
Attia, S., Shadmanfar, N., Ricci, F., Developing two benchmark models for nearly zero energy schools. Appl. Energy, 263, Apr. 2020, 114614, 10.1016/j.apenergy.2020.114614.
Marrone, P., Gori, P., Asdrubali, F., Evangelisti, L., Calcagnini, L., Grazieschi, G., Energy benchmarking in educational buildings through cluster analysis of energy retrofitting. Energies, 11(3), 2018, 649, 10.3390/en11030649.
Hernandez, P., Burke, K., Lewis, J.O., Development of energy performance benchmarks and building energy ratings for non-domestic buildings: an example for Irish primary schools. Energy Build. 40:3 (Jan. 2008), 249–254, 10.1016/j.enbuild.2007.02.020.
Khoshbakht, M., Gou, Z., Dupre, K., Energy use characteristics and benchmarking for higher education buildings. Energy Build. 164 (2018), 61–76, 10.1016/j.enbuild.2018.01.001.
Park, H.S., Lee, M., Kang, H., Hong, T., Jeong, J., Development of a new energy benchmark for improving the operational rating system of office buildings using various data-mining techniques. Appl. Energy 173 (2016), 225–237, 10.1016/j.apenergy.2016.04.035.
Shahrestani, M., Yao, R., Cook, G.K., A review of existing building benchmarks and the development of a set of reference office buildings for England and Wales. Intell. Build. Int. 6:1 (2014), 41–64, 10.1080/17508975.2013.828586.
Us Doe, Commercial prototype building models. Build. Energy. Codes. Progr., 2020 [Online]. Available: https://www.energycodes.gov/development/commercial/prototype_models.
Us Doe, Residential prototype building models. Build. Energy. Codes. Progr., 2020 [Online]. Available: https://www.energycodes.gov/development/residential/iecc_models.
ISO 17772-2, “ISO 17772-2: Energy Performance of Buildings - Overall Energy Performance Assessment Procedures. Part 2: Guideline for Using Indoor Environmental Input Parameters for the Design and Assessment of Energy Performance of Buildings”. Geneva, Switzerland, 2018.
Parkinson, T., de Dear, R., Brager, G., Nudging the adaptive thermal comfort model. Energy Build., 206, 2020, 109559, 10.1016/j.enbuild.2019.109559.
Rahif, R., Amaripadath, D., Attia, S., Review on time-integrated overheating evaluation methods for residential buildings in temperate climates of Europe. Energy Build., 252, Dec. 2021, 111463, 10.1016/j.enbuild.2021.111463.
Carlucci, S., Pagliano, L., A review of indices for the long-term evaluation of the general thermal comfort conditions in buildings. Energy Build. 53 (Oct. 2012), 194–205, 10.1016/j.enbuild.2012.06.015.
ASHRAE, ANSI/ASHRAE Standard 55-2017, Thermal Environmental Conditions for Human Occupancy, 2017, ASHRAE, Atlanta.
ISO 7730, ISO 7730: Ergonomics Of the Thermal Environment. Analytical Determination and Interpretation of Thermal Comfort Using Calculation of the PMV and PPD Indices and Local Thermal Comfort Criteria, 2004, International Standards Organization Geneva.
Hendel, M., Azos-Diaz, K., Tremeac, B., Behavioral adaptation to heat-related health risks in cities. Energy Build. 152 (Oct. 2017), 823–829, 10.1016/j.enbuild.2016.11.063.
Yang, L., Yan, H., Lam, J.C., Thermal comfort and building energy consumption implications – a review. Appl. Energy 115 (Feb. 2014), 164–173, 10.1016/j.apenergy.2013.10.062.
Andreasi, W.A., Lamberts, R., Cândido, C., Thermal acceptability assessment in buildings located in hot and humid regions in Brazil. Build. Environ., 45(5), May 2010, 10.1016/j.buildenv.2009.11.005 Art. no. 5.
De Dear, R., Brager, G.S., “Developing an adaptive model of thermal comfort and preference,” UC Berkeley: center for the Built Environment. [Online]. Available: https://escholarship.org/uc/item/4qq2p9c6, 1998. (Accessed 3 February 2020)
Fanger, P.O., Toftum, J., Extension of the PMV model to non-air-conditioned buildings in warm climates. Energy Build. 34:6 (2002), 533–536, 10.1016/S0378-7788(02)00003-8.
Khovalyg, D., et al. Critical review of standards for indoor thermal environment and air quality. Energy Build., 2020, 109819, 10.1016/j.enbuild.2020.109819.
Carlucci, S., Bai, L., de Dear, R., Yang, L., Review of adaptive thermal comfort models in built environmental regulatory documents. Build. Environ. 137 (Jun. 2018), 73–89, 10.1016/j.buildenv.2018.03.053.
Crawley, D.B., Hand, J.W., Kummert, M., Griffith, B.T., Contrasting the capabilities of building energy performance simulation programs. Build. Environ. 43:4 (2008), 661–673, 10.1016/j.buildenv.2006.10.027.
ANSI/ASHRAE Handbook, “Handbook–2017: Fundamentals,” American Society of Heating, Refrigerating and Air Conditioning Engineers: Atlanta, GA, USA, 2009.
D. Kim, S. J. Cox, H. Cho, and P. Im, “Evaluation of energy savings potential of variable refrigerant flow (VRF) from variable air volume (VAV) in the U.S. climate locations,” Energy Rep., vol. 3, pp. 85–93, Nov. 2017, doi: 10.1016/j.egyr.2017.05.002.
Witte, M.J., Henninger, R.H., Crawley, D.B., Experience testing energyplus with the iea hvac bestest E300-E545 series and iea hvac bestest fuel-fired furnace series. Proc. Sim. Build 2:1 (2006), 1–8.
Zhou, X., Hong, T., Yan, D., Comparison of HVAC System Modeling in EnergyPlus, DeST and DOE-2.1 E, 7, 2014, 21–33, 10.1007/s12273-013-0150-7 1.
ISO 15927-4, “‘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’.” P. Geneva, Switzerland, 2005.
Ipcc and Core Writing Team, Summary for policymakers. Clim. Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 2014, 2–34.
Taylor, K.E., Stouffer, R.J., Meehl, G.A., An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93:4 (2012), 485–498, 10.1175/BAMS-D-11-00094.1.
Judkoff, R., Nevmark, J., International Energy Agency Building Energy Simulation Test (BESTEST) and Diagnostic Method (No. NREL/TP–472-6231). 1995, National Renewable Energy Lab. Colorado, United States.
Raustad, R.A., A Variable Refrigerant Flow Heat Pump Computer Model in EnergyPlus. 2013, Univ. of Central Florida, Orlando, FL (United States).
Zhang, R., Sun, K., Hong, T., Yura, Y., Hinokuma, R., A novel Variable Refrigerant Flow (VRF) heat recovery system model: development and validation. Energy Build. 168 (Jun. 2018), 399–412, 10.1016/j.enbuild.2018.03.028.
Lu, D.B., Warsinger, D.M., Energy savings of retrofitting residential buildings with variable air volume systems across different climates. J. Build Eng., 30, Jul. 2020, 101223, 10.1016/j.jobe.2020.101223.
Aynur, T.N., Hwang, Y., Radermacher, R., Simulation of a VAV air conditioning system in an existing building for the cooling mode. Energy Build. 41:9 (2009), 922–929, 10.1016/j.enbuild.2009.03.015.
Goel, S., et al. “Enhancements to ASHRAE Standard 90.1 Prototype Building Models,” Pacific Northwest National Lab.(PNNL), Richland, WA (United States). 2014.
Thornton, B.A., et al. “Achieving the 30% Goal: Energy and Cost Savings Analysis of ASHRAE Standard 90.1-2010,” Pacific Northwest National Lab.(PNNL), Richland, WA (United States). 2011.
Corgnati, S.P., Fabrizio, E., Raimondo, D., Filippi, M., Categories of Indoor Environmental Quality and Building Energy Demand for Heating and Cooling, 4, 2011, 97–105, 10.1007/s12273-011-0023-x 2.
Attia, S., Net Zero Energy Buildings (NZEB): Concepts, Frameworks and Roadmap for Project Analysis and Implementation. 2018, Butterworth-Heinemann, Quebec, Canada.
Fumo, N., Mago, P., Luck, R., Methodology to estimate building energy consumption using EnergyPlus Benchmark Models. Energy Build. 42:12 (2010), 2331–2337, 10.1016/j.enbuild.2010.07.027.
Hendron, R., Anderson, R., Christensen, C., Eastment, M., Reeves, P., Development of an Energy Savings Benchmark for All Residential End-Uses. 2004, National Renewable Energy Lab., Golden, CO (US).
Torcelini, P., et al. DOE Commercial Building Benchmark Models. 2008, National Renewable Energy Lab.(NREL), Golden, CO (United States).
Luo, X., Hong, T., Chen, Y., Piette, M.A., Electric load shape benchmarking for small-and medium-sized commercial buildings. Appl. Energy 204 (2017), 715–725, 10.1016/j.apenergy.2017.07.108.
Evers, J., Struck, C., van Herpen, R., Hensen, J., Wijsman, A., Plokker, W., Robuustheid voor klimaatvariaties: een vergelijking van klimatiseringsconcepten met behulp van gebouwsimulatie. Bouwfysica 20:3 (2009), 2–7.
Eskin, N., Türkmen, H., Analysis of annual heating and cooling energy requirements for office buildings in different climates in Turkey. Energy Build. 40:5 (2008), 763–773, 10.1016/j.enbuild.2007.05.008.
Ke, M.-T., Weng, K.-L., Chiang, C.-M., Performance evaluation of an innovative fan-coil unit: low-temperature differential variable air volume FCU. Energy Build. 39:6 (2007), 702–708, 10.1016/j.enbuild.2006.06.011.
Pan, Y., Zhou, H., Huang, Z., Zeng, Y., Long, W., Measurement and simulation of indoor air quality and energy consumption in two Shanghai office buildings with variable air volume systems. Energy Build. 35:9 (2003), 877–891, 10.1016/S0378-7788(02)00245-1.
Sekhar, S., Yat, C.J., Energy simulation approach to air-conditioning system evaluation. Build. Environ. 33:6 (1998), 397–408, 10.1016/S0360-1323(97)00056-5.
Yuan, S., Perez, R., Multiple-zone ventilation and temperature control of a single-duct VAV system using model predictive strategy. Energy Build. 38:10 (2006), 1248–1261, 10.1016/j.enbuild.2006.03.007.
Nik, V.M., Coccolo, S., Kämpf, J., Scartezzini, J.-L., Investigating the importance of future climate typology on estimating the energy performance of buildings in the EPFL campus. Energy. Procedia 122 (2017), 1087–1092, 10.1016/j.egypro.2017.07.434.
