[en] Climate change and expected weather patterns in the long-term threaten the livelihood inside oases settlements in arid lands, particularly under the recurring heat waves during the harsh months. This paper investigates the impact of climate change on the outdoor thermal comfort within a multifamily housing neighbourhood that is considered the most common residential archetype in Algerian Sahara, under extreme weather conditions in the summer season, in the long- term. It focuses on assessing the outdoor thermal comfort in the long-term, based on the Perceived Temperature index (PT), using simulation software ENVI-met and calculation model RayMan. Three different stations in situ were conducted and combined with TMY weather datasets for 2020 and the IPCC future projections: A1B, A2, B1 for 2050, and 2080. The results are performed from two different perspectives: to investigate how heat stress evolution undergoes climate change from 2020 till 2080; and for the development of a mathematical algorithm to predict the outdoor thermal comfort values in short-term, medium-term and long-term durations. The results indicate a gradual increase in PT index values, starting from 2020 and progressively elevated to 2080 during the summer season, which refers to an extreme thermal heat-stress level with differences in PT index averages between 2020 and 2050 (+5.9 °C), and 2080 (+7.7 °C), meaning no comfortable thermal stress zone expected during 2080. This study gives urban climate researchers, architects, designers and urban planners several insights into predicted climate circumstances and their impacts on outdoor thermal comfort for the long-term under extreme weather conditions, in order to take preventive measures for the cities’ planning in the arid regions.
Research center :
Sustainable Building Design (SBD) Lab, Department of UEE, Faculty of Applied Sciences, Université de Liège, 4000 Liège, Belgium
Disciplines :
Architecture
Author, co-author :
Matallah, Mohamed Elhadi ; University of Biskra, Biskra 07000, Algeria > Laboratory of Design and Modelling of Architectural and Urban Forms and Ambiances (LACOMOFA), Department of Architecture
Department of Architecture, BUITEMS Quetta, Pakistan. Department of Architecture, DUET Karachi, Pakistan. Department of Architecture, University of Biskra, Algeria
Roshan, G.; Moghbel, M.; Attia, S. Evaluating the wind cooling potential on outdoor thermal comfort in selected Iranian climate types. J. Therm. Biol. 2020, 92, 102660.
Jamei, E.; Rajagopalan, P.; Seyedmahmoudian, M.; Jamei, Y. Review on the impact of urban geometry and pedestrian level greening on outdoor thermal comfort. Renew. Sustain. Energy Rev. 2016, 54, 1002–1017.
Roshan, G.; Almomenin, H.S.; da Silveira Hirashima, S.Q.; Attia, S. Estimate of outdoor thermal comfort zones for different climatic regions of Iran. Urban Clim. 2019, 27, 8–23.
Attia, S. Spatial and Behavioral Thermal Adaptation in Net Zero Energy Buildings: An Exploratory Investigation. Sustainability 2020, 12, 7961.
Attia, S.; Levinson, R.; Ndongo, E.; Holzer, P.; Kazanci, O.B.; Homaei, S.; Zhang, C.; Olesen, B.W.; Qi, D.; Hamdy, M.; et al. Resilient cooling of buildings to protect against heat waves and power outages: Key concepts and definition. Energy Build. 2021, 239, 110869.
Elnabawi, M.H.; Hamza, N. Behavioural perspectives of outdoor thermal comfort in urban areas: A critical review. Atmosphere 2020, 11, 51.
Nakicenovic, N.; Alcamo, J.; Davis, G.; Vries, B.D.; Fenhann, J.; Gaffin, S.; Gregory, K.; Grübler, A.; Jong, T.Y.; Kram, T.; et al. Special Report on Emissions Scenarios; Cambridge University Press: Cambridge, UK, 2000.
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 2019, 238, 696–720.
Hamstead, Z.A.; Iwaniec, D.M.; McPhearson, T.; Berbés‐Blázquez, M.; Cook, E.M.; Muñoz‐Erickson, T.A. Resilient Urban Fu-tures. 2021. Available online: https://www.springer.com/gp/book/9783030631307 (accessed on 13 March 2021).
Coccolo, S.; Kämpf, J.; Scartezzini, J.L.; Pearlmutter, D. Outdoor human comfort and thermal stress: A comprehensive review on models and standards. Urban. Clim. 2016, 18, 33–57.
Palme, M.; Salvati, A. Urban Microclimate Modelling for Comfort and Energy Studies; Springer International Publishing: Berlin/Hei-delberg, Germany, 2021.
Kenawy, I.; Lam, C.K.C.; Shooshtarian, S. Summer outdoor thermal benchmarks in Melbourne: Applications of different tech-niques. Build. Environ. 2021, 195, 107658.
Moazami, A.; Carlucci, S.; Causone, F.; Pagliano, L. Energy retrofit of a day care center for current and future weather scenarios. Procedia Eng. 2016, 145, 1330–1337.
Tootkaboni, M.P.; Ballarini, I.; Zinzi, M.; Corrado, V. A Comparative Analysis of Different Future Weather Data for Building Energy Performance Simulation. Climate 2021, 9, 37.
Nematchoua, M.K.; Yvon, A.; Kalameu, O.; Asadi, S.; Choudhary, R.; Reiter, S. Impact of climate change on demands for heating and cooling energy in hospitals: An in‐depth case study of six islands located in the Indian Ocean region. Sustain. Cities Soc. 2019, 44, 629–645.
Yau, Y.H.; Hasbi, S. A review of climate change impacts on commercial buildings and their technical services in the tropics. Renew. Sustain. Energy Rev. 2013, 18, 430–441.
de Wilde, P.; Coley, D. The implications of a changing climate for buildings. Build. Environ. 2012, 55, 1–7, doi:10.1016/j.build-env.2012.03.014.
Berger, T.; Amann, C.; Formayer, H.; Korjenic, A.; Pospischal, B.; Neururer, C.; Smutny, R. Impacts of climate change upon cooling and heating energy demand of office buildings in Vienna, Austria. Energy Build. 2014, 80, 517–530.
Guan, L. Preparation of future weather data to study the impact of climate change on buildings. Build. Environ. 2009, 44, 793– 800.
Roetzel, A.; Tsangrassoulis, A. Impact of climate change on comfort and energy performance in offices. Build. Environ. 2012, 57, 349–361.
Nicol, J.F.; Humphreys, M.A. Adaptive thermal comfort and sustainable thermal standards for buildings. Energy Build. 2002, 34, 563–572.
Bughio, M.; Schuetze, T.; Mahar, W.A. Comparative Analysis of Indoor Environmental Quality of Architectural Campus Build-ings’ Lecture Halls and its Perception by Building Users in Karachi, Pakistan. Sustainability 2020, 12, 2995.
Mahar, W.A. Methodology for the Design of Climate‐Responsive Houses for Improved Thermal Comfort in Cold Semi‐Arid Climates. Ph.D. Thesis, University of Liège, Liege, Belgium, 2021.
Mahar, W.A.; Amer, M.; Attia, S. Indoor thermal comfort assessment of residential building stock in Quetta, Pakistan. In Proceedings of the European Network for Housing Research (ENHR) Annual Conference 2018, Uppsala, Sweden, 27–29 June 2018. Available online: https://orbi.uliege.be/handle/2268/226537 (accessed on 13 March 2021).
de Freitas, C.R.; Grigorieva, E.A. A comprehensive catalogue and classification of human thermal climate indices. Int. J. Biome-teorol. 2015, 59, 109–120.
de Freitas, C.R.; Grigorieva, E.A. A comparison and appraisal of a comprehensive range of human thermal climate indices. Int. J. Biometeorol. 2017, 61, 487–512.
Budd, G.M. Wet‐bulb globe temperature (WBGT)—Its history and its limitations. J. Sci. Med. Sport 2008, 11, 20–32.
Thom, E.C. The discomfort index. Weatherwise 1959, 12, 57–61.
Höppe, P. The physiological equivalent temperature–a universal index for the biometeorological assessment of the thermal environment. Int. J. Biometeorol. 1999, 43, 71–75.
Staiger, H.; Laschewski, G.; Grätz, A. The perceived temperature–a versatile index for the assessment of the human thermal environment. Part. A Sci. Basics. Int. J. Biometeorol. 2012, 56, 165–176.
Staiger, H.; Laschewski, G.; Matzarakis, A. Selection of appropriate thermal indices for applications in human biometeorological studies. Atmosphere 2019, 10, 18.
Jendritzky, G.; Staiger, H.; Bucher, K.; Graetz, A.; Laschewski, G. The Perceived Temperature: The Method of the Deutscher Wetter-dienst for the Assessment of Cold Stress and Heat Load for the Human Body; Internet Workshop on Windchill, hosted by Environment Canada, 3–7 April 2000. Available online: https://www.semanticscholar.org/paper/The‐Perceived‐Temperature‐%3A‐The‐ Method‐of‐the‐for‐Jendritzky‐Staiger/f62308d669ed828021e90450c002f4e89d5355cd(accessed on 15 March 2021).
Matzarakis, A.; Rutz, F.; Mayer, H. Modelling radiation fluxes in simple and complex environments—Application of the Ray‐ Man model. Int. J. Biometeorol. 2007, 51, 323–334.
Matzarakis, A.; Rutz, F.; Mayer, H. Modelling radiation fluxes in simple and complex environments: Basics of the RayMan model. Int. J. Biometeorol. 2010, 54, 131–139.
Jendritzky, G.; Nübler, W. A model analysing the urban thermal environment in physiologically significant terms. Arch. Mete-orol. Geophys. Bioclimatol. Ser. B 1981, 29, 313–326.
Jendritzky, G. Perceived Temperature: Klima‐Michel‐Model, The Development of Heat Stress Watch Warning Systems. Health and Global Environment Change, Heat‐waves: Risks and responses. Freiburg 2003, 2, 39.
Gosling, S.; Bryce, E.K.; Dixon, P.G.; Gabriel, K.; Gosling, E.Y.; Hanes, J.M.; Hondula, D.M.; Liang, L.; Mac Lean, P.A.B.; Muthers, S.; et al. A glossary for biometeorology. Int. J. Biometeorol. 2014, 58, 277–308.
Byon, J.Y.; Kim, J.S.; Kim, J.Y.; Choi, B.C.; Choi, Y.J.; Graetz, A. A study on the characteristics of perceived temperature over the Korean peninsula during 2007 summer. Atmosphere 2008, 18, 137–146.
Lee, D.G.; Byon, J.Y.; Choi, Y.J.; Kim, K.R. Relationship between summer heat stress (perceived temperature) and daily excess mortality in Seoul during 1991~2005. J. Korean Soc. Atmos. Environ. 2010, 26, 253–264.
Wang, S.; Zhu, J. Amplified or exaggerated changes in perceived temperature extremes under global warming. Clim. Dyn. 2020, 54, 117–127.
Fang, Z.; Zheng, Z.; Feng, X.; Shi, D.; Lin, Z.; Gao, Y. Investigation of outdoor thermal comfort prediction models in South China: A case study in Guangzhou. Build. Environ. 2021, 188, 107424.
Cheung, C.S.C.; Hart, M.A. Climate change and thermal comfort in Hong Kong. Int. J. Biometeorol. 2014, 58, 137–148.
Liu, S.; Pan, W.; Zhao, X.; Zhang, H.; Cheng, X.; Long, Z.; Chen, Q. Influence of surrounding buildings on wind flow around a building predicted by CFD simulations. Build. Environ. 2018, 140, 1–10.
Nazarian, N.; Fan, J.; Sin, T.; Norford, L.; Kleissl, J. Predicting outdoor thermal comfort in urban environments: A 3D numerical model for standard effective temperature. Urban. Clim. 2017, 20, 251–267.
Kariminia, S.; Ahmad, S.S.; Omar, M.; Ibrahim, N. Urban outdoor thermal comfort prediction for public square in moderate and dry climate. In Proceedings of the 2011 IEEE Symposium on Business, Engineering and Industrial Applications (ISBEIA), Langkawi, Malaysia, 25–28 September 2011; pp. 308–313.
Semahi, S.; Benbouras, M.A.; Mahar, W.A.; Zemmouri, N.; Attia, S. Development of Spatial Distribution Maps for Energy Demand and Thermal Comfort Estimation in Algeria. Sustainability 2020, 12, 6066.
Lee, H. Intergovernmental Panel on Climate Change. World Merteorological Organization: Geneva, Switzerland, 2007. Available online: https://www.mdpi.com/journal/energies/special_issues/Social_Fuel_Cell (accessed on 13 March 2021).
Houghton, E. Climate Change 1995: The Science of Climate Change: Contribution of Working Group I to the Second Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK, 1996; Volume 2.
Bughio, M.; Khan, M.S.; Mahar, W.A.; Schuetze, T. Impact of passive energy efficiency measures on cooling energy demand in an architectural campus building in Karachi, Pakistan. Sustainability 2021, 13, 7251, doi:10.3390/su13137251.
Mahar, W.A.; Verbeeck GReiter, S.; Attia, S. Sensitivity analysis of passive design strategies for residential buildings in cold semi‐arid climates. Sustainability 2020, 12, 1091, doi:10.3390/su12031091.
Remund, J.; Müller, S.C.; Schilter, C.; Rihm, B. The use of Meteonorm weather generator for climate change studies. In Proceedings of the 10th EMS Annual Meeting Abstracts, Zürich, Switzerland, 13–17 September 2010; Volume 7, p. EMS2010‐417.
Crawley, D.B.; Lawrie, L.K. Rethinking the TMY: Is the ‘typical’meteorological year best for building performance simulation? In Proceedings of the 14th Conference of International Building Performance Simulation Association BS2015, Hyderabad, India, 7–9 December 2015; pp. 2655–2662.
Richter, M. Urban climate change‐related effects on extreme heat events in Rostock, Germany. Urban. Ecosyst. 2016, 19, 849–866.
Carter, J.G. Urban climate change adaptation: Exploring the implications of future land cover scenarios. Cities 2018, 77, 73–80.
Semahi, S.; Zemmouri, N.; Singh, M.K.; Attia, S. Comparative bioclimatic approach for comfort and passive heating and cooling strategies in Algeria. Build. Environ. 2019, 161, 106271.
Matallah, M.E.; Alkama, D.; Ahriz, A.; Attia, S. Assessment of the Outdoor Thermal Comfort in Oases Settlements. Atmosphere 2020, 11, 185.
Labdaoui, K.; Mazouz, S.; Acidi, A.; Cools, M.; Moeinaddini, M.; Teller, J. Utilising thermal comfort and walking facilities to propose a comfort walkability index (CWI) at the neighbourhood level. Build. Environ. 2021, 193, 107627.
Engl. VDI/DIN‐Kommission Reinhaltung der Luft (KRdL)‐Normenausschuss. 3787, Part 2: Environmental meteorology, methods for the human‐biometeorological evaluation of climate and air quality for the urban and regional planning at regional level. Part I: Climate. VDI/DIN‐Handb. Reinhalt. Luft. 2008, 1, 1–32.
Meteonorm Software. Available online: https://meteonorm.com/en/(accessed on 15 March 2021).
Matallah, M.E.; Alkama, D.; Teller, J.; Ahriz, A.; Attia, S. Quantification of the Outdoor Thermal Comfort within Different Oases Urban Fabrics. Sustainability 2021, 13, 3051.
ENVI‐Met Software. 2020. Available online: https://www.envi‐met.com/(accessed on 10 October 2020).
Bruse, M.; Fleer, H. Simulating surface–plant–air interactions inside urban environments with a three dimensional numerical model. Environ. Model. Softw. 1998, 13, 373–384.
Bruse, M. ENVI‐Met. 3.0: Updated Model. Overview; University of Bochum: Germany. Available online: www.envi‐met.com (ac-cessed on 15 June 2004).
ASHRAE. ASHRAE Guideline 14–2014, Measurement of Energy, Demand, and Water Savings; ASHRAE: Atlanta, GA, USA, 2014.
Matallah, M.E.; Ahriz, A.; Attia, S. Quantification of the Outdoor Thermal Comfort Process: Simulation & Calculation Data (No. 01/2020); Sustainable Building Design Lab; University of Liège: Belgium. 2020. Available online: http://hdl.han-dle.net/2268/250205 (accessed on 15 March 2021).
Vince, A. A framework for the greedy algorithm. Discret. Appl. Math. 2002, 121, 247–260.
Edmonds, J. Matroids and the greedy algorithm. Math. Program. 1971, 1, 127–136.
Pavlík, Z.; Jerman, M.; Fořt, J.; Černý, R. Monitoring thermal performance of hollow bricks with different cavity fillers in differ-ence climate conditions. Int. J. Thermophys. 2015, 36, 557–568.
Pavlík, Z.; Jerman, M.; Trník, A.; Kočí, V.; Černý, R. Effective thermal conductivity of hollow bricks with cavities filled by air and expanded polystyrene. J. Build. Phys. 2014, 37, 436–448.
Sovetova, M.; Memon, S.A.; Kim, J. Thermal performance and energy efficiency of building integrated with PCMs in hot desert climate region. Sol. Energy 2019, 189, 357–371.
Wahid, M.A.; Hosseini, S.E.; Hussen, H.M.; Akeiber, H.J.; Saud, S.N.; Mohammad, A.T. An overview of phase change materials for construction architecture thermal management in hot and dry climate region. Appl. Therm. Eng. 2017, 112, 1240–1259.
Memon, S.A. Phase change materials integrated in building walls: A state of the art review. Renew. Sustain. Energy Rev. 2014, 31, 870–906.
Nematchoua, M.K.; Noelson, J.C.V.; Saadi, I.; Kenfack, H.; Andrianaharinjaka, A.Z.F.; Ngoumdoum, D.F.; Sela, J.B.; Reiter, S. Application of phase change materials, thermal insulation, and external shading for thermal comfort improvement and cooling energy demand reduction in an office building under different coastal tropical climates. Sol. Energy 2020, 207, 458–470.
