Energy Consumption Models at Urban Scale to Measure Energy Resilience

Mutani, Guglielmina; Todeschi, Valeria; Beltramino, Simone

doi:10.3390/su12145678

Cited by 25 publications

(24 citation statements)

References 42 publications

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“…This condition is marked by service centers for trade, industry, health facilities, and higher education. Large metropolitan cities have, a tendency to develop in all areas, and their spatial zoning gradually spreads out in all directions in a multi-layered circle, with the central area of activity as its core [74,75]. The development of new areas within a city gradually reproduces the characteristics of the other sectors due to similarities in land rent, transportation, communication, and other aspects [76,77].…”

Section: Energy Security and Urban System Sustainabilitymentioning

confidence: 99%

Economic Evaluation, Use of Renewable Energy, and Sustainable Urban Development Mamminasata Metropolitan, Indonesia

et al. 2021

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The acceleration of the development of the Metropolitan Mamminasata area has an impact on the socio-economic dynamics of the community and the use of excess energy resources. The purpose of this study was to analyze (1) economic growth and energy security work as determinants of urban development for Metropolitan Mamminasata, (2) the effect of economic growth, energy consumption, availability of transportation infrastructure, and renewable energy on the quality of the environment and the sustainability of the Metropolitan Mamminasata system, and (3) renewable energy management strategies and sustainable urban development for Metropolitan Mamminasata. An explanatory sequential approach was used. Data were obtained through observation, surveys, and documentation. The results showed that renewable energy which has the potential to used, in the Mamminasata Metropolitan urban area to support economic growth and increase urban productivity, namely water energy, wind energy, and biomass energy. Furthermore, it takes the effectiveness and efficiency of energy users toward improving environmental quality. Economic growth, energy consumption savings, the availability of transportation infrastructure, and renewable energy have a significant effect on environmental quality, with a determination coefficient of 82.3%, and the sustainability of the Metropolitan Mamminasata system, with a determination coefficient of 75.7%. Use of renewable energy in the management of urban development will require support from government policies, as well as community and business participation. This study recommends a renewable energy management strategy as an important part of supporting the sustainability of urban development in Metropolitan Mamminasata, Indonesia.

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Section: Energy Security and Urban System Sustainabilitymentioning

confidence: 99%

Economic Evaluation, Use of Renewable Energy, and Sustainable Urban Development Mamminasata Metropolitan, Indonesia

et al. 2021

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“…➢ CitySim is based on a simplified thermal-electrical analogy and takes into account the complexity of the urban environment, where the energy fluxes interact with each other [37,38]. ➢ GIS-based engineering model is a dynamic urban-scale energy model that simulates the space heating energy consumption of buildings considering the thermal balance of the built environment using the existing technical maps and databases available in the geoportal [39,40]. A fundamental tool to collect spatial information and process input data is a Geographic Information System (GIS) [41].…”

Section: Urban Energy and Climate Models And Toolsmentioning

confidence: 99%

“…assumed equal to 0.8 for grass and trees, 0.94 for playground, 0.95 for walls buildings and path [58]; ➢ is the direct and diffuse solar irradiance (W/m 2 ), the direct quota was calculated knowing the urban canyon high-to-width ratio (H/W), the solar height [39] and the time when the human body was shaded; this last variable was elaborated in arcGIS using the "points solar radiation" tool; ➢ is the long-wave radiation intensity of the sky (W/m 2 ) elaborated according to Eq. (3); ➢ is the long-wave radiation intensity of urban surfaces (W/m 2 ) elaborated according to Eq.…”

Section: Urban Climate Toolsmentioning

confidence: 99%

Roof-Integrated Green Technologies, Energy Saving and Outdoor Thermal Comfort: Insights from a Case Study in Urban Environment

Mutani¹,

Todeschi²

2021

IJSDP

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Green urban infrastructures have a significant impact on urban climate mitigation, on indoor and outdoor thermal comfort and on energy performance of buildings. In this paper, outdoor thermal comfort conditions and energy saving for space heating and cooling were investigated before and after the use of roof-integrated green technologies. Existing urban energy and climate models and tools were applied to an urban area located in a Turin (Italy). CitySim, ENVI-met and SOLWEIG tools and a GIS-based model were used to evaluate the mean radiant temperature and the thermal comfort of outdoor spaces before and after the use of vegetated roofs and green surfaces such as the predicted mean vote (PMV), the physiological equivalent temperature (PET) and the universal thermal climate index (UTCI). A GIS-based engineering model and CitySim tool were used to evaluate the energy saving and energy independence index for space heating and cooling after the use of green roofs and solar technologies. According to the shape and the suitability of rooftop elaborated with GIS tools, some roofs were identified as potential green roofs other as potential solar roofs for installing solar thermal collectors and photovoltaic panels. According to the results it is possible to confirm that the use of green roofs and urban greenery can decrease the mean radiant temperature until about 10℃ during summer season, improving outdoor thermal comfort conditions and energy savings with a reduction of 12% for space cooling energy consumption.

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“…The model was then optimised by replacing MOS and H/H avg with the solar height and H/W ratio. The incident solar irradiance on the envelope was assessed considering the variation in the shadow percentage for each building as a function of the solar height and the aspect H/W ratio (Mutani et al, 2020b).…”

Section: Monthly Engineering Modelmentioning

confidence: 99%

GIS-based urban energy modelling and energy efficiency scenarios using the energy performance certificate database

Mutani

Todeschi

2021

Energy Efficiency

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The EU building stock is 97% not energy efficient and the promotion of energy retrofitting strategies is a key way of reducing energy consumptions and greenhouse gas emission. In order to improve the energy performance of buildings, the European Union released the Energy Performance of Buildings and the Energy Efficiency Directives. The certification of the energy performance of a building is a central element of these Directives to monitor and promote energy performance improvements in buildings, with the aim of increasing their energy efficiency level, thereby reducing greenhouse gas emissions. This work evaluates the energy performance of existing residential buildings using the energy performance certificate database and identifies the more effective retrofitting interventions by applying an urban-scale energy model. The novelty of this study is that a new retrofitting database is created to improve the results of a building energy model at urban scale taking into account the real characteristics of the built environment. The here presented GIS-based monthly engineering model is flexible and easily applicable to different contexts, and was used to investigate energy efficiency scenarios by evaluating their effects of city scale. An urban energy atlas was designed for an Italian city, Turin, as a decision-making platform for policy makers and citizens. This energy platform can give information on energy consumption, production and productivity potential, but also on energy retrofitting scenarios. The results of this work show that it is possible to obtain energy savings for space heating of 79,064 MWh/year for the residential buildings connected to the district heating network in the city of Turin; these interventions refer mainly to thermal insulation of buildings envelope with windows replacement and allow a reduction in greenhouse gas emissions of 12,097 tonCO2eq/year.

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Energy Consumption Models at Urban Scale to Measure Energy Resilience

Cited by 25 publications

References 42 publications

Economic Evaluation, Use of Renewable Energy, and Sustainable Urban Development Mamminasata Metropolitan, Indonesia

Economic Evaluation, Use of Renewable Energy, and Sustainable Urban Development Mamminasata Metropolitan, Indonesia

Roof-Integrated Green Technologies, Energy Saving and Outdoor Thermal Comfort: Insights from a Case Study in Urban Environment

GIS-based urban energy modelling and energy efficiency scenarios using the energy performance certificate database

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