Abstract
This chapter reviews the different approaches that currently exist to evaluate outdoor microclimates and their influence on building performance. Considering specific outdoor microclimates in building design flow can enable additional passive cooling strategies to mitigate climate risks in buildings and cities, improving their resilience capacity under extreme heat events. The available methods are defined and compared through different case studies of buildings with an inner courtyard, a traditional microclimate for passive cooling in hot climates. The results show the advantages and disadvantages of the different approaches and highlight the high interest in hybrid simulations coupling building energy simulation (BES) and computational fluid dynamics (CFD) tools for early design stages.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The aspect ratio is the relation between the width and the height of the courtyard, following the equation AR = Height/Width.
- 2.
Thermal gap is defined as the difference between the outdoor temperature and the temperature inside the courtyard, as follows: TG = Toutdoor -Tcourtyard.
References
Eurostat. Database—Eurostat. https://ec.europa.eu/eurostat/en/web/main/data/database. Accessed 14 December 2021
Global Alliance for Buildings and Construction. 2020 Global Status Report For Buildings And Construction Towards a Zero-Emissions, Efficient and Resilient Buildings and Construction Sector, 2020. www.globalabc.org. Accessed 14 December 2021
Santamouris M, Papanikolaou N, Livada I et al (2001) On the impact of urban climate on the energy consumption of building. Sol Energ 70(3):201–216. https://doi.org/10.1016/S0038-092X(00)00095-5
Directive (EU) 2018/844 of the European Parliament and of the Council of 30 May 2018 amending Directive 2010/31/EU on the energy performance of buildings and Directive 2012/27/EU on energy efficiency (Text with EEA relevance). Official Journal of the European Union, 2018
Lizana J, Lopez-Cabeza VP, Renaldi R, Diz-Mellado E, Rivera-Gomez C, Gal C (2021) Integrating courtyard microclimate in building performance simulation to mitigate extreme urban heat impacts. Sustain Cities Soc 2021:103590. https://doi.org/10.1016/j.scs.2021.103590
Li Y, Neill ZO, Zhang L, Chen J, Im P, Degraw J (2021) Grey-box modeling and application for building energy simulations—a critical review. 146
Coakley D, Raftery P, Keane M (2014) A review of methods to match building energy simulation models to measured data. Renew Sustain Energ Rev 37:123–141. https://doi.org/10.1016/j.rser.2014.05.007
Hamdaoui M-A, Benzaama M-H, El Mendili Y, Chateigner D (2021) A review on physical and data-driven modeling of buildings hygrothermal behavior: models, approaches and simulation tools. Energ Build 251:111343. https://doi.org/10.1016/j.enbuild.2021.111343
M’Saouri El Bat A, Romani Z, Bozonnet E, Draoui A (2021) Thermal impact of street canyon microclimate on building energy needs using TRNSYS: a case study of the city of Tangier in Morocco. Case Stud Therm Eng 24:100834. https://doi.org/10.1016/j.csite.2020.100834
Yang X, Zhao L, Bruse M, Meng Q (2012) An integrated simulation method for building energy performance assessment in urban environments. Energ Build 54:243–251. https://doi.org/10.1016/j.enbuild.2012.07.042
Natanian J, Auer T (2020) Beyond nearly zero energy urban design: a holistic microclimatic energy and environmental quality evaluation workflow. Sustain Cities Soc 56. https://doi.org/10.1016/j.scs.2020.102094
Perini K, Chokhachian A, Dong S, Auer T (2017) Modeling and simulating urban outdoor comfort: coupling ENVI-Met and TRNSYS by grasshopper. Energ Build 152:373–384. https://doi.org/10.1016/j.enbuild.2017.07.061
Mackey C, Galanos T, Norford L, Roudsari MS (2017) Wind, sun, surface temperature, and heat island: critical variables for high-resolution outdoor thermal comfort. In: Proceedings of the 15th IBPSA conference San Francisco, CA, USA, pp 985–993. https://doi.org/10.26868/25222708.2017.260
Soflaei F, Shokouhian M, Tabadkani A, Moslehi H, Berardi U (2020) A simulation-based model for courtyard housing design based on adaptive thermal comfort. J Build Eng 31:101335. https://doi.org/10.1016/j.jobe.2020.101335
Evola G, Costanzo V, Magrì C, Margani G, Marletta L, Naboni E (2020) A novel comprehensive workflow for modelling outdoor thermal comfort and energy demand in urban canyons: results and critical issues. Energ Build 216:109946. https://doi.org/10.1016/j.enbuild.2020.109946
Elwy I, Ibrahim Y, Fahmy M, Mahdy M (2018) Outdoor microclimatic validation for hybrid simulation workflow in hot arid climates against ENVI-met and field measurements. Energ Procedia. https://doi.org/10.1016/j.egypro.2018.10.009
Asfour OS (2020) A comparison between the daylighting and energy performance of courtyard and atrium buildings considering the hot climate of Saudi Arabia. J Build Eng 30:101299. https://doi.org/10.1016/J.JOBE.2020.101299
Soflaei F, Shokouhian M, Abraveshdar H, Alipour A (2017) The impact of courtyard design variants on shading performance in hot- arid climates of Iran. Energ Build. https://doi.org/10.1016/j.enbuild.2017.03.027
ASHRAE (2014) ASHRAE Guideline 14-2014. Measurement of energy, demand, and water savings. https://energywatch-inc.com/ashrae-guideline-14/
Sánchez de la Flor FJ, Ruiz-Pardo Á, Diz-Mellado E, Rivera-Gómez C, Galán-Marín C (2021) Assessing the impact of courtyards in cooling energy demand in buildings. J Cleaner Prod 320:128742. https://doi.org/10.1016/j.jclepro.2021.128742
Rojas JM, Galán-Marín C, Fernández-Nieto ED (2012) Parametric study of thermodynamics in the mediterranean courtyard as a tool for the design of eco-efficient buildings. Energies 5(7):2381–2403. https://doi.org/10.3390/en5072381
Toparlar Y, Blocken B, Maiheu B, van Heijst GJF (2017) A review on the CFD analysis of urban microclimate. Renew Sustain Energ Rev 80:1613–1640. https://doi.org/10.1016/j.rser.2017.05.248
López-Cabeza VP, Galán-Marín C, Rivera-Gómez C, Roa-Fernández J (2018) Courtyard microclimate ENVI-met outputs deviation from the experimental data. Build Environ 144:129–141. https://doi.org/10.1016/j.buildenv.2018.08.013
Huttner S (2012) Further development and application of the 3D microclimate simulation ENVI-met. Johannes Gutenberg-Universitat in Mainz, Mainz. http://ubm.opus.hbz-nrw.de/volltexte/2012/3112/
Lopez-Cabeza VP, Carmona-Molero FJ, Rubino S et al (2021) Modelling of surface and inner wall temperatures in the analysis of courtyard thermal performances in Mediterranean climates. J Build Perform Simul 14(2):181–202. https://doi.org/10.1080/19401493.2020.1870561
López-Cabeza VP, Diz-Mellado E, Rivera-Gómez C, Galán-Marín C, Samuelson HW (2022) Thermal comfort modelling and empirical validation of predicted air temperature in hot-summer Mediterranean courtyards. J Build Perform Simul 15(1):39–61. https://doi.org/10.1080/19401493.2021.2001571
Diz‐Mellado E, Rubino S, Fernández‐García S, Gómez‐Mármol M, Rivera‐Gómez C, Galán‐Marín C (2021) Applied machine learning algorithms for courtyards thermal patterns accurate prediction. Mathematics 9(10). https://doi.org/10.3390/math9101142
Azaïez M, Chacón Rebollo T, Gómez Mármol M et al (2021) Data-driven reduced order modeling based on tensor decompositions and its application to air-wall heat transfer in buildings. SeMA 78:213–232. https://doi.org/10.1007/s40324-021-00252-3
Acknowledgements
This work was supported by the grant RTI2018-093521-B-C33 funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe” and the Spanish Ministry of Education, Culture, and Sport via a pre-doctoral contract granted to V.P. L-C. (FPU17/05036) and E. D-M (FPU18/04783). The research was also supported by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 101023241.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
López-Cabeza, V.P., Lizana, J., Diz-Mellado, E., Rivera-Gómez, C., Galán-Marín, C. (2022). Outdoor Microclimate Influence on Building Performance: Simulation Tools, Challenges, and Opportunities. In: Bienvenido-Huertas, D., Moyano-Campos, J. (eds) New Technologies in Building and Construction. Lecture Notes in Civil Engineering, vol 258. Springer, Singapore. https://doi.org/10.1007/978-981-19-1894-0_7
Download citation
DOI: https://doi.org/10.1007/978-981-19-1894-0_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-1893-3
Online ISBN: 978-981-19-1894-0
eBook Packages: EngineeringEngineering (R0)