Linking the urban-scale building energy demands with city breathability and urban form characteristics

Mouzourides, Petros; Kyprianou, Andreas; Neophytou, Marina; Ching, Jason; Choudhary, Ruchi

doi:10.1016/j.scs.2019.101460

Cited by 16 publications

(9 citation statements)

References 43 publications

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“…The main urban area is composed of buildings, and the building density of the surrounding neighborhoods significantly affects the natural ventilation of the area and the shadows between buildings [ 13 , 37 , 38 ]. The wind and shadows created by surroundings play a significant role in affecting the convective heat transfer coefficients at the exterior surfaces of a building [ 39 ], which in turn affects the heating load of the building [ 40 ].…”

Section: Methodsmentioning

confidence: 99%

“…Besides the physical condition of a building, such as the building type [ 5 ], construction [ 6 ], and HVAC (Heating, Ventilation and Air Conditioning) system [ 7 ], and its energy consumption patterns (ECP) [ 8 , 9 ], such as energy-use behavior and lifestyles, numerous studies have observed that the surrounding environment is critical in influencing the building heating energy consumption ( Figure 1 ) [ 10 , 11 , 12 ]. Urban morphology and climatic conditions have been identified as key environmental factors that affect the overall heating demand in cities [ 13 , 14 , 15 ]. Considering urban morphology, Mouzourides et al [ 13 ] performed a multiscale analysis on a validated dataset of urban energy demands to investigate the effects of building height and building density on heating and cooling demand.…”

Section: Introductionmentioning

confidence: 99%

“…Urban morphology and climatic conditions have been identified as key environmental factors that affect the overall heating demand in cities [ 13 , 14 , 15 ]. Considering urban morphology, Mouzourides et al [ 13 ] performed a multiscale analysis on a validated dataset of urban energy demands to investigate the effects of building height and building density on heating and cooling demand. Ahn and Sohn [ 16 ] also confirmed that building height is a potential driver of the energy demand of a building.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Urban Morphology and Climate on Heating Energy Consumption of Buildings in Severe Cold Regions

Song

Han³

et al. 2020

IJERPH

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This study aims to acquire a better understanding of the quantitative relationship between environmental impact factors and heating energy consumption of buildings in severe cold regions. We analyze the effects of five urban morphological parameters (building density, aspect ratio, building height, floor area ratio, and shape factor) and three climatic parameters (temperature, wind speed, and relative humidity) on the heating energy use intensity (EUI) of commercial and residential buildings in a severe cold region. We develop regression models using empirical data to quantitatively evaluate the impact of each parameter. A stepwise approach is used to ensure that all the independent variables are significant and to eliminate the effects of multicollinearity. Finally, a spatial cluster analysis is performed to identify the distribution characteristics of heating EUI. The results indicate that the building height, shape factor, temperature, and wind speed have a significant impact on heating EUI, and their effects vary with the type of building. The cluster analysis indicated that the areas in the north, east, and along the river exhibited high heating EUI. The findings obtained herein can be used to evaluate building energy efficiency for urban planners and heating companies and departments based on the surrounding environmental conditions.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of Urban Morphology and Climate on Heating Energy Consumption of Buildings in Severe Cold Regions

Song

Han³

et al. 2020

IJERPH

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“…In terms of urban energy forecasting, Yeo I A et al [9] categorized urban facilities according to energy use characteristics and were modeled to make forecasts of energy demand. Mouzourides P et al [10] investigated the link between urban form characteristics with the associated urban energy demands for heating and cooling. Rok Hribar et al [11] implemented and compared different forecast models for residential natural gas demand of an urban area.…”

Section: Literature Reviewmentioning

confidence: 99%

Bi-level Planning Model for Urban Energy Steady State Optimal Configuration

Wang

Zhou

Dong

et al. 2020

Preprint

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BackgroundWith the rapid development of social economy, energy consumption has continued to grow, and the contradiction between energy supply and demand has become increasingly tense. Cities account for two-thirds of global primary energy demand that makes urban energy systems become a center of sustainable transitions.MethodsThis paper builds a bi-level planning model for steady state optimal configuration to realize the reasonable planning of the urban energy structure. The first level mainly analyzes the relationship between coal, petroleum, natural gas, and renewable energy when the energy system is in a stable state. Based on the steady-state relationship of multiple energy sources, the second level is mainly aiming at energy allocation of the city, to achieve the minimization of construction and operating costs of the urban energy system, as well as the pollutant emissions. And nonlinear system dynamics and the non-dominated sorting genetic algorithm II (NSGA-II) algorithm are implemented to solve the model.ResultsThe model studies the interaction between four energy sources to find out the demand of each energy source when the urban energy system is in a stable state. To illustrate the advantage of the method, the application of the planning model proposed in this paper is discussed in the energy system of city J of China. Under the premise of ensuring the stability of the urban energy system, the city J has two energy planning schemes: mainly coal or mainly high-quality energy.ConclusionThe coal-based energy structure can save economic costs. However, from the perspective of actual demand or ecological environment, the urbanization level of city J is relatively high, and the coal-based energy structure is unreasonable and may cause greater environmental pollution. Under the type of high-quality energy development model, city J should continue to strengthen the adjustment of the industrial structure and optimize and upgrade the urban development path. The focus is on strengthening the use of clean energy and improving energy efficiency, thereby further reducing the demand for traditional fossil energy in the process of economic development.

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“…The impact of urban development has been explored in terms of urban form and morphology influencing building energy demand (Ewing & Rong, 2008;Quan & Li, 2021), with studies often investigating the links between different urban form characteristics (e.g., density, building heights, etc. ), the associated urban energy demand for space heating and cooling and urban solar energy (Mouzourides et al, 2019;Shi et al, 2021). In one of the limited studies looking at urban development alternatives while assessing the energy performance of buildings and cities, authors have documented that urban development scenarios such as infill development and consolidated development are urban alternatives that can potentially yield the most relevant energy savings (M. Silva et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Energy Futures of Representative Swiss Communities Under Influence of Urban Development, Building Retrofit, and Climate Change

Oraiopoulos¹,

Hsieh²,

Schuelter³

2022

SSRN Journal

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Linking the urban-scale building energy demands with city breathability and urban form characteristics

Cited by 16 publications

References 43 publications

Impact of Urban Morphology and Climate on Heating Energy Consumption of Buildings in Severe Cold Regions

Impact of Urban Morphology and Climate on Heating Energy Consumption of Buildings in Severe Cold Regions

Bi-level Planning Model for Urban Energy Steady State Optimal Configuration

Energy Futures of Representative Swiss Communities Under Influence of Urban Development, Building Retrofit, and Climate Change

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