Indoor climatic conditions are strongly influenced by outdoor meteorological conditions. It is thus expected that the combined effect of climate change and the urban heat island effect negatively influences working conditions in urban office buildings. Since office buildings are particularly vulnerable to overheating because of the profound internal heat gains, this is all the more relevant. The overheating in office buildings leads to elevated cooling costs or, because additional work breaks are required by legislation in some countries, productivity losses. We have developed a methodology incorporating urban climate modelling and building energy simulations to assess cooling costs and lost working hours in office buildings, both for current-day and future climate, extending towards the end of the twenty-first century. The methodology is tailored to additionally assess the impact and benefits of adaptation measures, and it is designed to be transferable from one city to another. Results for a prototype building located in three different European cities (Antwerp, Bilbao and London) illustrate the challenge in keeping Western-European office buildings comfortable until the end of the twenty-first century without adaptation measures, and the beneficial effect of adequate adjustments. The results further illustrate the large decreases in cooling costs (up to 30%) caused by the introduction of (external) shading and increased night-time ventilation in actively cooled buildings, and the improvements in working conditions in free-running buildings caused by moving workers to cooler locations and splitting workdays in morning and evening shifts.
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American Society of Heating, Refrigerating and Air-Conditioning Engineers (2013). ASHRAE handbook: fundamentals.
Atzeri A, Cappelletti F, Gasparella A (2014) Internal versus external shading devices performance in office buildings. Energy Procedia 45:463–472. https://doi.org/10.1016/j.egypro.2014.01.050
Berger T, Amann C, Formayer H, Korjenic A, Pospichal B, Neururer C, Smutny R (2014) Impacts of urban location and climate change upon energy demand of office buildings in Vienna, Austria. Build Environ 81:258–269. https://doi.org/10.1016/j.buildenv.2014.07.007
Bernard TE, Pourmoghani M (1999) Prediction of workplace wet bulb global temperature. Appl Occup Environ Hyg 14:126–134. https://doi.org/10.1080/104732299303296
Buchin O, Jänicke B, Meier F, Scherer D, Ziegler F (2016) The role of building models in the evaluation of heat-related risks. Nat Hazards Earth Syst Sci 16:963–976. https://doi.org/10.5194/nhess-16-963-2016
Budd GM (2008) Wet-bulb globe temperature (WBGT)—its history and its limitations. J Sci Med Sport 11:20–32. https://doi.org/10.1016/j.jsams.2007.07.003
Collins L, Natarajan S, Levermore G (2010) Climate change and future energy consumption in UK housing stock. Build Serv Eng Res Technol 31:75–90. https://doi.org/10.1177/0143624409354972
Costa H, Floater G (2015) RAMSES project report D5.2: economic costs of heat and flooding in cities: cost and economic data for the European Clearinghouse databases. http://www.ramses-cities.eu/fileadmin/uploads/Deliverables_Uploaded/RAMSES_D5.2.pdf
Crawley DB, Lawrie LK, Winkelmann FC, Buhl WF, Huang YJ, Pedersen CO, Strand RK, Liesen RJ, Fisher DE, Witte MJ, Glazer J (2001) EnergyPlus: creating a new-generation building energy simulation program. Energy Build 33:319–331. https://doi.org/10.1016/S0378-7788(00)00114-6
Crawley DB, Hand JW, Kummert M, Griffith BT (2008) Contrasting the capabilities of building energy performance simulation programs. Build Environ 43:661–673. https://doi.org/10.1016/j.buildenv.2006.10.027
de Dear RJ, Brager GS (1998) Towards an adaptive model of thermal comfort and preference. ASHRAE Trans 104(1):145–167
De Ridder K, Lauwaet D, Maiheu B (2015) UrbClim—a fast urban boundary layer climate model. Urban Clim 12:21–48. https://doi.org/10.1016/j.uclim.2015.01.001
de Wilde P, Coley D (2012) The implications of a changing climate for buildings. Build Environ 55:1–7. https://doi.org/10.1016/j.buildenv.2012.03.014
de Wilde P, Tian W (2010) Predicting the performance of an office under climate change: a study of metrics, sensitivity and zonal resolution. Energy Build 42:1674–1684. https://doi.org/10.1016/j.enbuild.2010.04.011
Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda MA, Balsamo G, Bauer P, Bechtold P, Beljaars ACM, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer AJ, Haimberger L, Healy SB, Hersbach H, Hólm EV, Isaksen L, Kållberg P, Köhler M, Matricardi M, McNally AP, Monge-Sanz BM, Morcrette J-J, Park B-K, Peubey C, de Rosnay P, Tavolato C, Thépaut J-N, Vitart F (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597. https://doi.org/10.1002/qj.828
Diffenbaugh NS, Giorgi F (2012) Climate change hotspots in the CMIP5 global climate model ensemble. Clim Chang 114:813–822. https://doi.org/10.1007/s10584-012-0570-x
Dunne JP, John JG, Adcroft AJ, Griffies SM, Hallberg RW, Shevliakova E, Stouffer RJ, Cooke W, Dunne KA, Harrison MJ, Krasting JP, Malyshev SL, Milly PCD, Phillipps PJ, Sentman LT, Samuels BL, Spelman MJ, Winton M, Wittenberg AT, Zadeh N, Dunne JP, John JG, Adcroft AJ, Griffies SM, Hallberg RW, Shevliakova E, Stouffer RJ, Cooke W, Dunne KA, Harrison MJ, Krasting JP, Malyshev SL, Milly PCD, Phillipps PJ, Sentman LT, Samuels BL, Spelman MJ, Winton M, Wittenberg AT, Zadeh N (2012) GFDL’s ESM2 global coupled climate–carbon earth system models. Part I: physical formulation and baseline simulation characteristics. J Clim 25:6646
Frank T (2005) Climate change impacts on building heating and cooling energy demand in Switzerland. Energy Build 37:1175–1185. https://doi.org/10.1016/j.enbuild.2005.06.019
Gratia E, De Herde A (2004) Natural cooling strategies efficiency in an office building with a double-skin façade. Energy Build 36:1139–1152. https://doi.org/10.1016/j.enbuild.2004.05.004
Guan L-S (2006) The implication of global warming on the energy performance and indoor thermal environment of air-conditioned office buildings in Australia. Queensland University of Technology, Brisbane
Henninger RH, Witte MJ, Crawley DB (2004) Analytical and comparative testing of EnergyPlus using IEA HVAC BESTEST E100–E200 test suite. Energy Build 36:855–863. https://doi.org/10.1016/j.enbuild.2004.01.025
Hensen JLM, Lamberts R (eds) (2011) Building performance simulation for design and operation. Spon Press, London
IPCC, Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (2013) IPCC, 2013: climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. IPCC AR5:1535
Jentsch MF, Bahaj AS, James PAB (2008) Climate change future proofing of buildings—generation and assessment of building simulation weather files. Energy Build 40:2148–2168. https://doi.org/10.1016/j.enbuild.2008.06.005
Kjellstrom T, Holmer I, Lemke B (2009) Workplace heat stress, health and productivity—an increasing challenge for low and middle-income countries during climate change. Glob Health Action. https://doi.org/10.3402/gha.v2i0.2047
Kolokotroni M, Aronis A (1999) Cooling-energy reduction in air-conditioned offices by using night ventilation. Appl Energy 63:241–253. https://doi.org/10.1016/S0306-2619(99)00031-8
Lauwaet D, Hooyberghs H, Maiheu B, Lefebvre W, Driesen G, Van Looy S, De Ridder K (2015) Detailed urban heat island projections for cities worldwide: dynamical downscaling CMIP5 global climate models. Climate 3:391–415. https://doi.org/10.3390/cli3020391
Leaman A, Bordass B (1999) Productivity in buildings: the “killer” variables. Build Res Inf 27:4–19. https://doi.org/10.1080/096132199369615
Lemke B, Kjellstrom T (2012) Calculating workplace WBGT from meteorological data: a tool for climate change assessment. Ind Health 50:267–278
Li DHW, Yang L, Lam JC (2012) Impact of climate change on energy use in the built environment in different climate zones—a review. Energy 42:103–112. https://doi.org/10.1016/j.energy.2012.03.044
Mavrogianni A, Davies M, Taylor J, Chalabi Z, Biddulph P, Oikonomou E, Das P, Jones B (2014) The impact of occupancy patterns, occupant-controlled ventilation and shading on indoor overheating risk in domestic environments. Build Environ 78:183–198. https://doi.org/10.1016/j.buildenv.2014.04.008
Meehl GA, Tebaldi C (2004) More intense, more frequent, and longer lasting heat waves in the 21st century. Science 305:994–997. https://doi.org/10.1126/science.1098704
Nicol JF, Humphreys MA (2002) Adaptive thermal comfort and sustainable thermal standards for buildings. Energy Build 34:563–572. https://doi.org/10.1016/S0378-7788(02)00006-3
Oke TR (1973) City size and the urban heat island. Atmos Environ 7:769–779. https://doi.org/10.1016/0004-6981(73)90140-6
Oke TR (1982) The energetic basis of the urban heat island. Q J R Meteorol Soc 108:1–24. https://doi.org/10.1002/qj.49710845502
Peters GP, Andrew RM, Boden T, Canadell JG, Ciais P, Le Quéré C, Marland G, Raupach MR, Wilson C (2012) The challenge to keep global warming below 2 °C. Nat Clim Chang 3:4–6. https://doi.org/10.1038/nclimate1783
Roaf S, Nicol F, Humphreys M, Tuohy P, Boerstra A (2010) Twentieth century standards for thermal comfort: promoting high energy buildings. Archit Sci Rev 53:65–77. https://doi.org/10.3763/asre.2009.0111
Scalfani A (2010) Assessing the impact of climate change on long-term energy savings with eQUEST. Energy Engineering 107:8–27. https://doi.org/10.1080/01998595.2010.10012622
Seppänen O, Fisk WJ, Faulkner D (2003) Cost benefit analysis of the night-time ventilative cooling in office buildings. In: Proceedings of the Healthy Buildings 2003 Conference, Singapore
van Moeseke G, Bruyère I, De Herde A (2007) Impact of control rules on the efficiency of shading devices and free cooling for office buildings. Build Environ 42:784–793. https://doi.org/10.1016/j.buildenv.2005.09.015
Yaglou CP, Minard D (1956) Prevention of heat casualties at Marine Corps training centers. Harvard School of Public Health, Boston. The document is available online at http://www.dtic.mil/dtic/tr/fulltext/u2/099920.pdf
Zhou B, Lauwaet D, Hooyberghs H, De Ridder K, Kropp JP, Rybski D, Zhou B, Lauwaet D, Hooyberghs H, De Ridder K, Kropp JP, Rybski D (2016) Assessing seasonality in the surface urban heat island of London. J Appl Meteorol Climatol 55:493
The work described in this paper has received funding from the European Community’s 7th Framework Program under grant agreement nos. 308497 (RAMSES) and 308299 (NACLIM). The work in this paper reflects the authors’ views. The authors thank Ryan Waters and Joel Parker at Seneca Consultants for the underlying research on worker productivity loss functions.
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Hooyberghs, H., Verbeke, S., Lauwaet, D. et al. Influence of climate change on summer cooling costs and heat stress in urban office buildings. Climatic Change 144, 721–735 (2017). https://doi.org/10.1007/s10584-017-2058-1