Bioclimatic design recommendations for novel cluster analysis-based mapping for humid climates with altitudinal gradient variations

Mejía-Parada, Cristian; Mora-Ruiz, Viviana; Attia, Shady

doi:10.1016/j.jobe.2023.108262

Article (Scientific journals)

Bioclimatic design recommendations for novel cluster analysis-based mapping for humid climates with altitudinal gradient variations

Mejía-Parada, Cristian; Mora-Ruiz, Viviana; Attia, Shady

2024 • In Journal of Building Engineering, 82, p. 108262

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/309659

DOI
10.1016/j.jobe.2023.108262

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Keywords :

Altitudinal gradient; Bioclimatic design; Passive strategies; Clustering analysis; Thermal floors

Abstract :

[en] Proper planning of urban environments in construction projects requires an accurate understanding of the prevailing climates in an area. However, the need for sufficient climate records in the Global South countries can make this characterization difficult. This study proposes using satellite information and cluster analysis to define the climatic behavior in Colombia, specifically in areas with intertropical climates with altitudinal gradient impact. The methodology used the statistical analysis of hourly temperature and relative humidity data for recent typical meteorological year (TMY) files. These data were obtained from the National Renewable Energy Laboratory (NREL). Subsequently, cluster analysis was applied to group regions with similar climatic characteristics. Standardization of the climatic variables ensured that all contributed equally to the research. The study results present an atlas with nine different climatic strategy zones, turning Colombia's climate into eight main clusters, each with specific characteristics and recommendations for the passive design of buildings. Identifying these zones made it possible to define the distribution of bioclimatic strategies in the different thermal floors of the region studied. This approach provides a framework for urban planners and city officials to develop climate-responsive building design guidelines adapted to the specific climatic conditions of each zone.

Research Center/Unit :

Sustainable Building Design Lab

Disciplines :

Architecture

Author, co-author :

Mejía-Parada, Cristian

Mora-Ruiz, Viviana

Attia, Shady ; Université de Liège - ULiège > Département ArGEnCo > Techniques de construction des bâtiments

Language :

English

Title :

Bioclimatic design recommendations for novel cluster analysis-based mapping for humid climates with altitudinal gradient variations

Publication date :

01 April 2024

Journal title :

Journal of Building Engineering

eISSN :

2352-7102

Publisher :

Elsevier BV

Volume :

Pages :

108262

Peer reviewed :

Peer Reviewed verified by ORBi

Development Goals :

11. Sustainable cities and communities

Additional URL :

https://www.sciencedirect.com/science/article/abs/pii/S2352710223024452

Available on ORBi :

since 10 December 2023

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Bibliography

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, 10.1016/j.buildenv.2019.106271.
Briggs, R.S., Lucas, R.G., Taylor, Z.T., Climate Classification for Building Energy Codes and Standards: Part 2-zone Definitions, Maps, and Comparisons. 2003, ASHRAE Transactions.
Kottek, M., Grieser, J., Beck, C., Rudolf, B., Rubel, F., World map of the Köppen-Geiger climate classification updated. Meteorol. Z. 15 (2006), 259–263, 10.1127/0941-2948/2006/0130.
Campagna, L.M., Fiorito, F., On the impact of climate change on building energy consumptions: a meta-analysis. Energies, 15, 2022, 10.3390/en15010354.
Bai, L., Yang, L., Song, B., Liu, N., A new approach to developing a climate classification for building energy efficiency addressing Chinese climate characteristics. Energy, 195, 2020, 10.1016/j.energy.2020.116982.
Praene, J.-P., Malet-Damour, B., Harimisa Radanielina, M., Fontaine, L., Riviere, G., Philippe Praene, J., Rivière, G., GIS-based approach to identify climatic zoning: a hierarchical clustering on principal component analysis. Build. Environ., 2019, 164, 10.1016/j.buildenv.2019.106330ï.
Roshan, G., Farrokhzad, M., Attia, S., Climatic clustering analysis for novel atlas mapping and bioclimatic design recommendations. Indoor Built Environ. 30 (2021), 313–333, 10.1177/1420326X19888572.
Feng, W., Zhang, Q., Ji, H., Wang, R., Zhou, N., Ye, Q., Hao, B., Li, Y., Luo, D., Lau, S.S.Y., A review of net zero energy buildings in hot and humid climates: experience learned from 34 case study buildings. Renew. Sustain. Energy Rev., 114, 2019, 10.1016/j.rser.2019.109303.
Harkouss, F., Fardoun, F., Biwole, P.H., Passive design optimization of low energy buildings in different climates. Energy 165 (2018), 591–613, 10.1016/j.energy.2018.09.019.
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, 10.3390/su12156066.
Mahar, W.A., Verbeeck, G., Singh, M.K., Attia, S., An investigation of thermal comfort of houses in dry and semi-arid climates of Quetta, Pakistan. Sustainability, 2019, 11, 10.3390/su11195203.
Elshafei, G., Bioclimatic design strategies recommendations for thermal comfort using mahoney Tables in hot desert bioclimatic region. J.Urban Res., 39, 2021, 10.21608/jur.2021.39201.1019.
Bennich, T., Weitz, N., Carlsen, H., Deciphering the scientific literature on SDG interactions: a review and reading guide. Sci. Total Environ., 2020, 72, 10.1016/j.scitotenv.2020.138405.
Mobolade, T.D., Pourvahidi, P., Bioclimatic approach for climate classification of Nigeria. Sustainability, 2020, 12, 10.3390/su12104192.
Departamento Nacional de Planeación (DNP). Colombia potencia mundial de la vida: Plan Nacional de Desarrollo: 2022-2026, Bogotá. 2022, Departamento Nacional de Planeación, 137–145.
Watson, D., Bioclimatic design. Encyclopedia of Sustainability Science and Technology, 2017, Springer, New York, 1–24, 10.1007/978-1-4939-2493-6_225-3.
Daemei, A.B., Eghbali, S.R., Khotbehsara, E.M., Bioclimatic design strategies: a guideline to enhance human thermal comfort in Cfa climate zones. J. Build. Eng., 25, 2019, 10.1016/j.jobe.2019.100758.
Tamaskani Esfahankalateh, A., Farrokhzad, M., Saberi, O., Ghaffarianhoseini, A., Achieving wind comfort through window design in residential buildings in cold climates, a case study in Tabriz city. Int. J. Low Carbon Technol. 16 (2021), 502–517, 10.1093/ijlct/ctaa082.
Olgyay, V., Design with Climate: Bioclimatic Approach to Architectural Regionalism. 2015, Princeton university press.
Givoni, B., Man, Climate and Architecture. 1969, Elsevier.
Teitelbaum, E., Jayathissa, P., Miller, C., Meggers, F., Design with Comfort: expanding the psychrometric chart with radiation and convection dimensions. Energy Build., 209, 2020, 10.1016/j.enbuild.2019.109591.
Givoni, B., Comfort, climate analysis and building design guidelines. Energy Build., 1992, 11–23, 10.1016/0378-7788(92)90047-K.
Manzano-Agugliaro, F., Montoya, F.G., Sabio-Ortega, A., García-Cruz, A., Review of bioclimatic architecture strategies for achieving thermal comfort. Renew. Sustain. Energy Rev. 49 (2015), 736–755, 10.1016/j.rser.2015.04.095.
DeKay, M., Brown, G.Z., Sun, Wind, and Light: Architectural Design Strategies. 2013, John Wiley & Sons.
Attia, S., Lacombe, T., Rakotondramiarana, H.T., Garde, F., Roshan, G.R., Analysis tool for bioclimatic design strategies in hot humid climates. Sustain. Cities Soc. 45 (2019), 8–24, 10.1016/j.scs.2018.11.025.
Attia, S., Lacombe, T., Architect-friendly climate analysis tool for bioclimatic design in hot humid climates. Building Simulation Conference Proceedings, 2019, International Building Performance Simulation Association, 4785–4792, 10.26868/25222708.2019.210521.
Bhatnagar, M., Mathur, J., Garg, V., Climate zone classification of India using new base temperature. Building Simulation Conference Proceedings, 2019, International Building Performance Simulation Association, 4841–4845, 10.26868/25222708.2019.211159.
Sengupta, M., Xie, Y., Lopez, A., Habte, A., Maclaurin, G., Shelby, J., The national solar radiation data base (NSRDB). Renew. Sustain. Energy Rev. 89 (2018), 51–60, 10.1016/j.rser.2018.03.003.
Sengupta, M., Habte, A., Xie, Y., Lopez, A., Gueymard, C.A., The national solar radiation data base (NSRDB) for CSP applications. AIP Conference Proceedings, 2019, American Institute of Physics Inc., 10.1063/1.5117712.
Givoni, B., Climate Considerations in Building and Urban Design. 1998, John Wiley & Sons.
Mejia-Parada, C., Mora-Ruiz, V., Attia, S., Dataset of temperature and relative humidity for a TMY in Colombia updated to 2021. Harvard Dataverse, V1, 2023, 10.7910/DVN/WECGSV.
Li, H., Huang, J., Hu, Y., Wang, S., Liu, J., Yang, L., A new TMY generation method based on the entropy-based TOPSIS theory for different climatic zones in China. Energy, 231, 2021, 10.1016/j.energy.2021.120723.
Yang, L., Lam, J.C., Liu, J., Tsang, C.L., Building energy simulation using multi-years and typical meteorological years in different climates. Energy Convers. Manag. 49 (2008), 113–124, 10.1016/j.enconman.2007.05.004.
Siu, C.Y., Liao, Z., Is building energy simulation based on TMY representative: a comparative simulation study on doe reference buildings in Toronto with typical year and historical year type weather files. Energy Build., 211, 2020, 109760, 10.1016/j.enbuild.2020.109760.
Li, H., Huo, Y., Fu, Y., Yang, Y., Yang, L., Improvement of methods of obtaining urban TMY and application for building energy consumption simulation. Energy Build., 295, 2023, 113300, 10.1016/j.enbuild.2023.113300.
Liu, Y., Stouffs, R., Tablada, A., Wong, N.H., Zhang, J., Comparing micro-scale weather data to building energy consumption in Singapore. Energy Build. 152 (2017), 776–791, 10.1016/j.enbuild.2016.11.019.
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, 2020, 109556, 10.1016/j.enbuild.2019.109556.
Casini, M., Active dynamic windows for buildings: a review. Renew. Energy 119 (2018), 923–934, 10.1016/j.renene.2017.12.049.
Fotopoulou, A., Semprini, G., Cattani, E., Schihin, Y., Weyer, J., Gulli, R., Ferrante, A., Deep renovation in existing residential buildings through façade additions: a case study in a typical residential building of the 70s. Energy Build. 166 (2018), 258–270, 10.1016/j.enbuild.2018.01.056.
Li, G., Xuan, Q., Akram, M.W., Golizadeh Akhlaghi, Y., Liu, H., Shittu, S., Building integrated solar concentrating systems: a review. Appl. Energy, 260, 2020, 10.1016/j.apenergy.2019.114288.
Xiong, J., Yao, R., Grimmond, S., Zhang, Q., Li, B., A hierarchical climatic zoning method for energy efficient building design applied in the region with diverse climate characteristics. Energy Build. 186 (2019), 355–367, 10.1016/j.enbuild.2019.01.005.
Gardner, A.S., Maclean, I.M.D., Gaston, K.J., A new system to classify global climate zones based on plant physiology and using high temporal resolution climate data. J. Biogeogr. 47 (2020), 2091–2101, 10.1111/jbi.13927.
Li, T., Rezaeipanah, A., Tag El Din, E.S.M., An ensemble agglomerative hierarchical clustering algorithm based on clusters clustering technique and the novel similarity measurement. J. King Saud Univ. Comput.Inform. Sci. 34 (2022), 3828–3842, 10.1016/j.jksuci.2022.04.010.
Dinh, D.T., Fujinami, T., Huynh, V.N., Estimating the optimal number of clusters in categorical data clustering by silhouette coefficient. Communications in Computer and Information Science, 2019, Springer Science and Business Media Deutschland GmbH, 1–17, 10.1007/978-981-15-1209-4_1.
Brusco, M.J., Steinley, D., A comparison of heuristic procedures for minimum within-cluster sums of squares partitioning. Psychometrika 72 (2007), 583–600, 10.1007/s11336-007-9013-4.
Mirrahimi, S., Mohamed, M.F., Haw, L.C., Ibrahim, N.L.N., Yusoff, W.F.M., Aflaki, A., The effect of building envelope on the thermal comfort and energy saving for high-rise buildings in hot–humid climate. Renew. Sustain. Energy Rev. 53 (2016), 1508–1519, 10.1016/J.RSER.2015.09.055.
Lotfabadi, P., Hançer, P., A comparative study of traditional and contemporary building envelope construction techniques in terms of thermal comfort and energy efficiency in hot and humid climates. Sustainability, 2019, 11, 10.3390/su11133582.
Sudhakar, K., Winderl, M., Shanmuga Priya, S., Net-zero building designs in hot and humid climates: a state-of-art. Case Stud. Therm. Eng., 13, 2019, 100400.
Alberto, A., Ramos, N.M.M., Almeida, R.M.S.F., Parametric study of double-skin facades performance in mild climate countries. J. Build. Eng. 12 (2017), 87–98, 10.1016/j.jobe.2017.05.013.
Verbeke, S., Audenaert, A., Thermal inertia in buildings: a review of impacts across climate and building use. Renew. Sustain. Energy Rev. 82 (2018), 2300–2318, 10.1016/j.rser.2017.08.083.
Chenari, B., Dias Carrilho, J., Gameiro Da Silva, M., Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: a review. Renew. Sustain. Energy Rev. 59 (2016), 1426–1447, 10.1016/j.rser.2016.01.074.
Sun, X., Gou, Z., Lau, S.S.Y., Cost-effectiveness of active and passive design strategies for existing building retrofits in tropical climate: case study of a zero energy building. J. Clean. Prod. 183 (2018), 35–45, 10.1016/j.jclepro.2018.02.137.
El-Darwish, I., Gomaa, M., Retrofitting strategy for building envelopes to achieve energy efficiency. Alex. Eng. J. 56 (2017), 579–589, 10.1016/J.AEJ.2017.05.011.
Administrativo Nacional de Estadística (Dane) de Colombia, Departamento, Informe Comité Nacional de Expertos para la Evaluación del Censo Nacional de Población y Vivienda de Colombia. DANE, 2019.
Instituto de Hidrología. Meteorología y estudios ambientales(IDEAM). Segundo Congreso Nacional del Clima 2011 adaptación de Colombia – Clasificación Climatológica de Colombia, 2011, Grupo de Climatología y Agrometereología – IDEAM.