A meta-analysis over geometric modeling simplifications in ENVI-met urban climate simulation

Favretto, Ana Paula Oliveira; Souza, Léa Cristina Lucas

doi:10.1590/s1678-86212019000100298

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Articles • Ambient. constr. 19 (1) • Jan-Mar 2019 • https://doi.org/10.1590/s1678-86212019000100298 copy

A meta-analysis over geometric modeling simplifications in ENVI-met urban climate simulation

Uma meta-análise sobre simplificações da modelagem geométrica em simulações do clima urbano com o software ENVI-met

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

Environmental modelling requires, among other aspects, a description of the built geometry. However, the complexity of the urban tissue draws uncertainties about the building form and locations. Therefore, during the planning process generic simplified geometry models may be more appropriate than the detailed ones. This research shows a meta-analysis performed by comparing the results of detailed and simplified geometric models. The prediction deviations that may arise from using geometric simplifications on ENVI-met modelling were evaluated, considering the output data from different building typologies (one and ten-storey buildings) and urban scenarios (with and without internal squares). Three metrics were analysed: air temperature, wind speed, and sky view factor (SVF). These metrics were normalized between 0 and 1 for comparison and performance assessment. The results indicated that the most adequate simplification models are those that that have kept the building perimeter of the blocks unchanged in relation to the corresponding detailed models.

Keywords:
Urban Climate Models; Simplified Geometric Models; ENVI-met

Module	Group	Field	Value	Value Source
Time and Date, Output	Start and duration of model run	Start Date	18 July 2016	-
		Start Time	7am	-
		Total simulation Time	72h	-
Meteorology: Basic Settings	Wind uvw^* * by convention, in wind vector studies, the coordinate system is called 'uvw' where the 'u', 'v', and 'w' refers, respectively to the 'x', 'y', and 'z' axes.	Wind speed measured in 10m height (m/s)	1.99	Average of July, 2016 data from INMET station: FRANCA-SP (OMM:83630)
		Wind direction (deg)	90	-
		Roughness length	0.01	Surface roughness below the receptors: smooth concrete (FRANSCISCO, 2012FRANCISCO, R. C. A. Clima Urbano: um estudo aplicado a Belo Horizonte, MG. Belo Horizonte, 2012. 122 f. Dissertação (Mestrado em ) - Escola de Arquitetura, Universidade Federal de Minas Gerais, Belo Horizonte, 2012.)
	Humidity	Specific humidity at model top (2500m, g/Kg)	6.12	Average from the 00Z and 12Z July, 2016 data collected at 83779 SBMT Campo de Marte Airport available at: <http://weather.uwyo.edu/upperair/sounding.html>
	Humidity	Relative humidity in 2m (%)	47.7	Average of July, 2016 data from INMET station: FRANCA - SP (OMM:83630)
Further Settings	Solar Radiation	Adjustment factor	1.0	ENVI-met Default values
	Clouds	No clouds ins model run (default)		ENVI-met Default values
Soils and Plants	Initial conditions for soil	Soil Wetness(%)/Initial temperature(K)		ENVI-met Default values
		Upper Layer(0-20cm)	50%/293K
		Middle Layer(20-50cm)	60%/293K
		Deep Layer(50-200cm)	60%/293K

Detailed Model	Simplified Model	Deviation	Set 01			Set 02
Detailed Model	Simplified Model	Deviation	Wind Speed [m/s], [ ]	Air Temp. [ºC], [ ]	SVF [ ]	Wind Speed [m/s], [ ]	Air Temp. [ºC], [ ]	SVF [ ]
One-Storey Detached House	SM01	Max. Deviation	-0.37	0.03	-0.07	0.14	0.46	0.03
		Abs. Deviation Average	0.19	0.02	0.05	0.06	0.34	0.02
		Normalized Abs. Deviation Average	0.11	0.01	0.03	0.04	0.20	0.01
	SM02	Max Deviation	0.17	0.01	0.03	0.17	0.18	0.03
		Abs. Deviation Average	0.07	0.00	0.02	0.07	0.13	0.02
		Normalized Abs. Deviation Average	0.04	0.00	0.01	0.04	0.08	0.01
	SM03	Max Deviation	0.18	0.01	0.03	0.18	0.01	0.03
		Abs. Deviation Average	0.09	0.00	0.02	0.08	0.00	0.02
		Normalized Abs. Deviation Average	0.05	0.00	0.01	0.04	0.00	0.01
	SM04	Max Deviation	0.11	0.04	0.03	0.10	0.04	0.03
		Abs. Deviation Average	0.07	0.02	0.02	0.05	0.02	0.02
		Normalized Abs. Deviation Average	0.04	0.01	0.01	0.03	0.01	0.01
Ten-Storey Tower	SM05	Max Deviation	-1.14	-0.18	-0.30	0.32	2.35	0.02
		Abs. Deviation Average	0.65	0.07	0.27	0.11	1.68	0.00
		Normalized Abs. Deviation Average	0.39	0.04	0.16	0.06	1.00	0.00
	SM06	Max Deviation	-0.39	0.61	-0.13	-0.52	1.98	0.04
		Abs. Deviation Average	0.24	0.42	0.09	0.23	1.31	0.02
		Normalized Abs. Deviation Average	0.14	0.25	0.05	0.13	0.78	0.01
	SM07	Max Deviation	0.97	+/- 0.03	-0.34	-0.69	2.73	0.04
		Abs. Deviation Average	0.77	0.01	0.25	0.28	1.64	0.02
		Normalized Abs. Deviation Average	0.46	0.01	0.15	0.16	0.98	0.01
	SM 08	Max Deviation	-0.97	-0.13	0.06	-0.85	0.15	0.05
		Abs. Deviation Average	0.52	0.08	0.04	0.38	0.08	0.04
		Normalized Abs. Deviation Average	0.31	0.05	0.02	0.23	0.05	0.02
	SM09	Max Deviation	-0.88	-0.14	0.05	-0.84	-0.17	0.05
		Abs. Deviation Average	0.49	0.09	0.04	0.38	0.07	0.04
		Normalized Abs. Deviation Average	0.29	0.05	0.02	0.23	0.04	0.02

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[1] Ana Paula Oliveira Favretto

Laboratório de Conforto e Eficiência Energética no Ambiente construído, Departamento de Engenharia Civil | Universidade Federal de São Carlos | Rodovia Washington Luís, SP-310, Km 235 | São Carlos - SP - Brasil | CEP 13566-590 | Tel.: (16) 3351-8111 Ramal 6586 | E-mail: ana.favretto@gmail.com