Influence of Buildings Configuration on the Energy Demand and Sizing of Energy Systems in an Urban Context

Mauree, Dasaraden; Perera, A.T.D.; Scartezzini, Jean-Louis

doi:10.1016/j.egypro.2017.12.206

Cited by 7 publications

(9 citation statements)

References 18 publications

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“…On the other hand, the peak heating demand for 2069 and 2099 with CIM increases by 10% and 16% (w.r.t the 2039 scenario). These increase in the peak demand will have a significant effect on the energy system sizing, as was demonstrated in previous studies [18,80].…”

Section: Energy Consumption For the Epfl Campussupporting

confidence: 52%

“…It is thus key to understand how local climate change affects building energy demand distinguishing between heating and cooling. Furthermore, it is critical to have a look at hourly data, as well as the peak demand (for peak demand is the most critical factor in the long-term planning of energy systems) [18,19]. Several impact assessment studies were conducted on buildings, with regard to the future energy demand and challenges [20][21][22], retrofitting buildings [23][24][25], as well as wind loads, rain and the microclimate [26][27][28][29].…”

Section: Changing Climate and Changing Buildingsmentioning

confidence: 99%

“…Time series of the hourly demand profile for heating and cooling should be accurately calculated in this context. Combining urban climate and building simulation models are important [18]. Similarly, renewable energy potentials for installation of wind turbines and solar PV/thermal should be considered to evaluate the potential of integrated renewable energy technologies [81].…”

Section: Energy System Designmentioning

confidence: 99%

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A New Framework to Evaluate Urban Design Using Urban Microclimatic Modeling in Future Climatic Conditions

et al. 2018

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Building more energy-efficient and sustainable urban areas that will both mitigate the effects of climate change and anticipate living conditions in future climate scenarios requires the development of new tools and methods that can help urban planners, architects and communities achieve this goal. In the current study, we designed a workflow that links different methodologies developed separately, to derive the energy consumption of a university school campus for the future. Three different scenarios for typical future years (2039, 2069, 2099) were run, as well as a renovation scenario (Minergie-P). We analyzed the impact of climate change on the heating and cooling demand of buildings and determined the relevance of taking into account the local climate in this particular context. The results from the simulations confirmed that in the future, there will be a constant decrease in the heating demand, while the cooling demand will substantially increase. Significantly, it was further demonstrated that when the local urban climate was taken into account, there was an even higher rise in the cooling demand, but also that a set of proposed Minergie-P renovations were not sufficient to achieve resilient buildings. We discuss the implication of this work for the simulation of building energy consumption at the neighborhood scale and the impact of future local climate on energy system design. We finally give a few perspectives regarding improved urban design and possible pathways for future urban areas.

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Section: Energy Consumption For the Epfl Campussupporting

confidence: 52%

Section: Changing Climate and Changing Buildingsmentioning

confidence: 99%

Section: Energy System Designmentioning

confidence: 99%

See 1 more Smart Citation

A New Framework to Evaluate Urban Design Using Urban Microclimatic Modeling in Future Climatic Conditions

et al. 2018

Self Cite

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show abstract

“…Time series of hourly demand profile for heating and cooling should be accurately calculated in this context. Combining urban climate and building simulation models are important in this context [12]. Similarly, renewable energy potentials for installation of wind turbines and solar PV/thermal should be considered in order to evaluate the potential to integrate renewable energy technologies [59].…”

Section: Energy System Designmentioning

confidence: 99%

“…It is thus key to understand how and local climate change affects building energy demand distinguish between heating and cooling. Furthermore, it is critical to have a look at data that are hourly, and that also look into peak demand (for peak demand is the most critical factor in the long-term planning for energy system capacity) [12]. There exist several impact assessment studies on buildings, about the future energy demand and challenges [13][14][15], retrofitting buildings [16][17][18], as well as wind loads, rain and the microclimate [19][20][21][22].…”

Section: Changing Climate and Changing Buildingsmentioning

confidence: 99%

A New Framework to Evaluate Urban Design Using Urban Microclimatic Modelling in Future Climatic Conditions

Mauree¹,

Coccolo²,

Perera³

et al. 2018

Preprint

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Building more energy efficient and sustainable urban areas that will both mitigate the effect of climate change and adapt for the future climate, requires the development new tools and methods that can help urban planners, architect and communities achieve this goal. In the current study, we designed a workflow that links different methodologies developed separately, to derive the energy consumption of a university school campus for the future. Three different scenarios for typical future years (2039, 2069, 2099) were run as well as a renovation scenario (Minergie-P). We analyse the impact of climate change on the heating and cooling demand of the buildings and determined the relevance of the accounting of the local climate in this particular context. The results from the simulations showed that in the future there will a constant decrease in the heating demand while for the cooling demand there will be a significant increase. It was further demonstrated that when the local climate was taken into account there was an even higher rise in the cooling demand but also that the proposed renovations were not sufficient to design resilient buildings. We then discuss the implication of this work on the simulation of building energy consumption at the neighbourhood scale and the impact of future local climate on energy system design. We finally give a few perspective regarding improved urban design and possible pathways for the future urban areas.

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Quantifying the impact of urban climate by extending the boundaries of urban energy system modeling

et al. 2018

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Rapid growth of cities, concerns on global warming and depletion of fossil fuel resources call for sustainable energy solutions for cities. Distributed energy systems such as energy hubs offer promising solutions in this context. Evaluating the energy demand at urban scale is vital to support the design of energy hubs. However, most of the recent studies are based on bottom-up models and do not consider the energy demand in detail. More specifically, the influence of the urban climate on urban energy demand has not been considered so far in the energy system design process. In order to address this research gap, a novel computational platform is developed in the first part of this study, combining an urban climate model with a building simulation tool and an energy system optimization model. The second part of the manuscript is devoted to quantifying the impact of urban climate on energy system design and assessing the consequences of neglecting this specific aspect on energy system performance. Three case studies are conducted considering three building densities for the city of Nablus (building density at the periphery, center and future center of the city) in Palestine. Three scenarios representing 1) standalone buildings (present practice) 2) shadowing and longwave reflection (radiation heat transfer from the walls and the roofs of the buildings to the urban climate and to the sky) of neighboring buildings and 3) urban climate are considered for each case study when computing the energy demand. Subsequently, the energy system is optimized considering Net Present Value (NPV) and system autonomy level as the objective functions (Pareto optimization). The results of the study reveal that the urban climate has a notable impact on the energy demand and energy system design. More importantly, it is shown that the influence of urban climate results in higher fluctuations in the energy demand, which in turn results in a notable increase in the NPV (by up to 40%). This further magnifies the increase in annual or peak demand. The study reveals that neglecting the influence of urban climate in the energy system design process can result in a performance gap in NPV, grid integration level, and greenhouse gas emissions and can impose reliability issues. The design tool introduced in this study can be used for urban planning to mitigate the aforementioned adverse effects.

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Influence of Buildings Configuration on the Energy Demand and Sizing of Energy Systems in an Urban Context

Cited by 7 publications

References 18 publications

A New Framework to Evaluate Urban Design Using Urban Microclimatic Modeling in Future Climatic Conditions

A New Framework to Evaluate Urban Design Using Urban Microclimatic Modeling in Future Climatic Conditions

A New Framework to Evaluate Urban Design Using Urban Microclimatic Modelling in Future Climatic Conditions

Quantifying the impact of urban climate by extending the boundaries of urban energy system modeling

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