Neighborhood designs for low-density social housing energy efficiency: Case study of an arid city in Argentina

Sosa, María Belén; Correa, Érica Norma; Cantón, María Alicia

doi:10.1016/j.enbuild.2018.03.006

Cited by 40 publications

(23 citation statements)

References 33 publications

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“…-Architectural and urban design by orienting housings to the south for maximum capture during the winter, this orientation also facilitates protection against the sun's rays during the summer [27,28]. This hypothesis is also proved by the research of Sosa et al (2018) and Montarry (2005), where they reflect that the architectural and urban design is the primary element for a better energy efficiency [26,32]. Also energy savings in addition to the thermal comfort are depends on a suitable layout and street orientation, urban trees, and the albedo of the building materials.…”

Section: Resultsmentioning

confidence: 98%

“…The authors recommend that for retrofit strategies to be effective, appropriate informative tools must be developed at an early stage to promote behavioural change for responsible energy use [25]. Sosa et al (2018) investigated the thermal behaviour and energy consumption of different urban scenarios for lowdensity social housing neighbourhoods in Mendoza, Argentina. The results show that, Energy savings depend on a suitable layout and street orientation, urban trees, and the albedo of the building materials [26].…”

Section: Introductionmentioning

confidence: 99%

“…Sosa et al (2018) investigated the thermal behaviour and energy consumption of different urban scenarios for lowdensity social housing neighbourhoods in Mendoza, Argentina. The results show that, Energy savings depend on a suitable layout and street orientation, urban trees, and the albedo of the building materials [26].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation Study of Energy Performance and Conformity to Regulations for Ordinary and HEP Housings: Case Study Based on Measurements at Djelfa City, Algeria

Mouffok¹,

Aidaoui²,

Zemmouri³

2019

I2M

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The aim of this study is to evaluate the constructions quality in addition to the energy consumption at a residential sector in a cold region. Djelfa is a medium sized town located at the centre of Algeria and characterized by cold climate for more than six months a year and high seasonal temperature variation. Consequently, citizens must adapt their constructions depending to this hostile climate. During the period 2013-2017, MNO (Meteorological National Office) data at Djelfa station revealed a cold period with measured temperatures in January goes from -0.6 to 13.6 °C . In this project, experimental study, calculation, questionnaire and numerical simulation were performed. Considered buildings are two standards housings: HEP housing (High Energy Performance) and an ordinary housing, both buildings have the same architectural context. Obtained results from real measurements demonstrate that only 1.3 % increase is recorded in the gas consumption for ordinary housing compared to HEP. While the computation based on the Algerian thermal regulatory show that the HEP can save up to 48 % of heating energy compared to ordinary housing, which is different to real measurements. Besides, the difference in electricity consumption is 35 % saving in favour of the HEP due to the use of economical instruments. Finally, several propositions such as; the use of solar panels, trompe wall can be investigated in order to obtain more performed buildings in terms of energy.

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Section: Resultsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Evaluation Study of Energy Performance and Conformity to Regulations for Ordinary and HEP Housings: Case Study Based on Measurements at Djelfa City, Algeria

Mouffok¹,

Aidaoui²,

Zemmouri³

2019

I2M

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“…It involved providing access to open spaces, improving walkability, and setting up community terraces [42]. Similarly, bioclimatic design strategies at a neighbourhood level in Argentina's social-housing showed lowering of outdoor temperatures that, in turn, improved thermal comfort and reduced cooling energy demand [43]. In social housing of India, Bardhan, Debnath, Malik, and Sarkar (2018) [44] have shown that effective geometric and spatial arrangements of these housing units can improve the overall quality of life.…”

Section: Built Environment and Its Influence On Cultural Energy Servicesmentioning

confidence: 99%

Energy Justice in Slum Rehabilitation Housing: An Empirical Exploration of Built Environment Effects on Socio-Cultural Energy Demand

et al. 2020

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The interaction of energy and buildings institutes a complex socio-technical system that influences the eudemonic well-being of the occupants. Understanding these drivers become even more necessary in impoverished areas where occupants struggle to avail essential energy services. The literature indicates that energy injustice can be addressed through provisioning of comfort, cleanliness, and convenience (3Cs) as critical cultural energy services in low-income areas. This study investigates the socio-architectural influence for slum rehabilitation housing (SRH) on cultural energy services that can promote distributive justice. The methodology adopts an empirical route using data from 200 household surveys from SRH in Mumbai, India, and João Pessoa, Brazil. A model between the 3Cs and socio-architectural elements was established using Firth's binary logistic regression. The survey results showed that the SRH in Brazil had twice the appliance ownership as compared to the Mumbai SRH. There were distinct energy service preferences in the study areas, despite common poverty burdens. The empirical results showed that the lack of socio-architectural design elements like open spaces, privacy, and walkability in the study areas demanded specific comfort and convenience appliances as a counter-response. A critical policy implication drawn was on the need for socio-architectural inclusive energy planning for distributive justice in poverty. Mitigating rising energy demand through appropriate built environment design of slum rehabilitation housing can contribute to fulfilling the UN's SDG 7 (clean and affordable energy) and 11 (sustainable cities and communities) goals.Sustainability 2020, 12, 3027 2 of 27 that determine the energy culture of a place [3]. Understanding energy culture can aid in designing "just" policies in a bottom-up targeted manner for equitable distribution of energy resources, especially for poverty alleviation [4,5].Energy cultures are derived from everyday energy practices, norms, and the material reality of the built environment that drives the need for specific energy services [6]. An energy culture translates everyday energy consumption into household welfare, which promotes energy justice. It is the responsibility of an energy-just system to increase welfare by improving individuals' capabilities for maximising utility [7]. Distributive energy justice entitles people to a basic set of minimum energy services that enhance their eudemonic well-being [8]. However, the current literature lacks evidence on the thresholds of a minimum of energy services as energy consumption at a household level is principally viewed as a physical quantity that is measured in a standardised unit (kilowatt-hour (kWh)) [9].Besides, at the individual level, energy is consumed in the form of "cultural energy services", which is driven by a complex socio-technical system of energy and built environment interaction [6,10,11]. This complex system is collectively referred to as human-scale energy services (HUSES) [12]. Anthropolo...

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“…1 software is a holistic three-dimensional non-hydrostatic model that is able to simulate the plant-surface-air interactions. It has been used for several types of urban analysis, among them, the assessment of the urban geometry impact on the thermal comfort and climate conditions by simulating hypothetical (ALI-TOUDERT; MAYER, 2006;KOCH et al, 2018) urban scenarios or multiple design alternative (GOLDBERG; KURBJUHN;BERNHOFER, 2013;MIDDEL et al, 2014;SOSA;CORREA;CANTÓN, 2018).…”

Section: Introductionmentioning

confidence: 99%

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

Favretto

Souza

2019

Ambient. constr.

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A meta-analysis over geometric modeling simplifications in ENVI-met urban climate simulationUma meta-análise sobre simplificações da modelagem geométrica em simulações do clima urbano com o software ENVI-met Abstract nvironmental 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.

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Neighborhood designs for low-density social housing energy efficiency: Case study of an arid city in Argentina

Cited by 40 publications

References 33 publications

Evaluation Study of Energy Performance and Conformity to Regulations for Ordinary and HEP Housings: Case Study Based on Measurements at Djelfa City, Algeria

Evaluation Study of Energy Performance and Conformity to Regulations for Ordinary and HEP Housings: Case Study Based on Measurements at Djelfa City, Algeria

Energy Justice in Slum Rehabilitation Housing: An Empirical Exploration of Built Environment Effects on Socio-Cultural Energy Demand

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

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