A simplified building thermal model for the optimization of energy consumption: Use of a random number generator

Hasan, Ola Alhaj; Defer, Didier; Shahrour, Isam

doi:10.1016/j.enbuild.2014.07.023

Cited by 24 publications

(3 citation statements)

References 22 publications

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“…Additionally, improvements in the indoor thermal environment during periods without heating or cooling were verified for the ultimate optimized solution [21]. The model's accuracy has been substantiated both by simulations and preceding studies conducted by our team [2,[18][19][20][21][22].…”

Section: Walls Doors and Windows Roofmentioning

confidence: 75%

“…Numerous research and analytical studies have consistently indicated that energy consumption associated with buildings comprises more than 30% of global energy consumption, a figure that escalates to approximately 35-40% within developed nations [1]. To specify, a significant proportion of energy, ranging from 30% to 60%, is dedicated to enhancing the indoor thermal conditions within buildings [2]. Over the last 15 years, China has witnessed a 2.24-fold increase in its overall carbon emissions from the construction sector, demonstrating an average annual growth rate of 5.92%, surging from 2.234 billion tons of CO 2 to 4997 million tons of CO 2 [3].…”

Section: Introduction 1previous Studiesmentioning

confidence: 99%

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Passive Energy Conservation Strategies for Mitigating Energy Consumption and Reducing CO2 Emissions in Traditional Dwellings of Peking Area, China

Xie,

Fan,

Zhang

et al. 2023

Sustainability

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Within China, brick dwellings stand as archetypal relics of traditional habitation, embodying a “living fossil” status. The sustainability of these dwellings is contingent upon the integration of energy-conservation strategies. This study scrutinized and empirically assessed a representative dwelling in the Peking area. Using numerical simulations, the impact on energy consumption of factors such as insulation and glazing type, external wall thickness, insulation thickness, and solar energy utilization was evaluated. The outcomes reveal that introducing external thermal insulation—specifically, expanded polystyrene panels with a thickness of 60 mm and 40 mm for the roof and exterior walls, respectively—along with a sunspace of depth 1.5 m yielded superior energy efficiency. Additionally, substituting conventional roofing with solar tiles exhibited a potential annual electricity generation coupled with an annual solar radiation conversion efficiency of 17%. Collectively, these strategies induced a substantial reduction in annual energy consumption. This study presents tailored energy-conservation measures and provides design decision support for architects’ practical recommendations on thermal environment control of passive traditional dwellings in the Peking area.

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Section: Walls Doors and Windows Roofmentioning

confidence: 75%

Section: Introduction 1previous Studiesmentioning

confidence: 99%

Passive Energy Conservation Strategies for Mitigating Energy Consumption and Reducing CO2 Emissions in Traditional Dwellings of Peking Area, China

Xie,

Fan,

Zhang

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Building energy consumption, which has already taken as much as 40% of the total energy use and 36% of the carbon dioxide emissions all over the world [1] and is estimated to quickly augment with future building development, is a significant sector, influencing sustainable development of the whole society. Among all the buildings with different functions, office buildings have already been one of the fastest growing groups, especially in large cities.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Passive Envelop Energy Efficient Measures for Office Buildings in Different Climate Regions of China Based on Modified Sensitivity Analysis

Wang

Zhao

2018

Sustainability

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With the growing desire for new buildings and better indoor comfort, the amount of energy consumption of office buildings in China is increasing rapidly, which will lead to the great challenge for energy supply and sustainable development. Building passive envelop energy efficient measures (PEEEMs), mainly including exterior wall insulation, roof insulation, different glazing types, and shading system, were widely applied. However, the specific energy efficient performance of PEEEMs was various in different climate conditions that have not been evaluated clearly yet. The priority order of PEEEMs was not recommended in relative standards. The economic benefits cannot be considered synchronously with PEEEMs optimization. This paper modified the sensitivity analysis to fit the building energy efficiency evaluation. By combining the modified method with a simulation tool, the energy efficiency and economic effects of PEEEMs of office buildings in various climate regions can be considered at the same time. Four case buildings in Shenyang, Tianjin, Ningbo, and Shenzhen were proved to reach the energy-saving potentials of 9.44%, 7.75%, 20.87%, and 13.27% respectively, with the payback period of no more than 1.5 years. Finally, the recommended application priority rankings and the recommended ranges of thermal performance properties of PEEEMs in the four typical climate regions were presented.

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Building energy consumption flatness-based control using algebraic on-line estimation

Ola¹,

Abouaïssa²,

Shahrour³

et al. 2016

Energy Efficiency

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A simplified building thermal model for the optimization of energy consumption: Use of a random number generator

Cited by 24 publications

References 22 publications

Passive Energy Conservation Strategies for Mitigating Energy Consumption and Reducing CO2 Emissions in Traditional Dwellings of Peking Area, China

Passive Energy Conservation Strategies for Mitigating Energy Consumption and Reducing CO2 Emissions in Traditional Dwellings of Peking Area, China

Optimization of Passive Envelop Energy Efficient Measures for Office Buildings in Different Climate Regions of China Based on Modified Sensitivity Analysis

Building energy consumption flatness-based control using algebraic on-line estimation

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