Time-series analysis of the effects of building and household features on residential end-use energy

Lee, Soojin; Song, Seung-Yeong

doi:10.1016/j.apenergy.2022.118722

Cited by 8 publications

(6 citation statements)

References 27 publications

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“…Carbon emissions are also influenced by the number of household appliances owned [ 41 ]. Based on Tran and Lee’s argument, it can be shown that the more household appliances used in a household, the greater the impact on carbon emissions [ 42 , 43 ].…”

Section: Discussionmentioning

confidence: 99%

Influencing Factors of Direct Carbon Emissions of Households in Urban Villages in Guangzhou, China

Chen

Jiang

2022

IJERPH

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China’s household energy consumption has obvious regional differences, and rising income levels and urbanization have changed the ability of households to make energy consumption choices. In this paper, we analyze the energy consumption characteristics of urban village residents based on microlevel household survey data from urban villages in Guangzhou, China. Then, the results of modeling the material flows of per capita carbon emissions show the most dominant type of energy consumption. OLS is applied to analyze the influencing factors of carbon emissions. We find that the per capita household carbon emissions in urban villages are 722.7 kg/household.year, and the average household carbon emissions are 2820.57 kg/household.year. We also find that household characteristics, household size, household appliance numbers, and carbon emissions have a significant positive correlation, while income has no significant effect on carbon emissions. What is more, the size and age of the house have a positive impact on carbon emissions. Otherwise, the new finding is the demonstration that income is not significantly correlated with household carbon emissions, which is consistent with the characteristics of urban villages described earlier. On the basis of this study, we propose more specific recommendations regarding household energy carbon emissions in urban villages.

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Section: Discussionmentioning

confidence: 99%

Influencing Factors of Direct Carbon Emissions of Households in Urban Villages in Guangzhou, China

Chen

Jiang

2022

IJERPH

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“…Cooking/hot water usage constitute essential components of daily energy consumption activities within Chinese households, with the rich culinary culture encouraging households to dedicate relatively more time to cooking (Zheng et al, 2014). In the study conducted by (Lee and Song, 2022b), the household size of and household income are identified as pivotal factors influcing cooking energy consumption. However, this study does not show the determinants related to the spatial differences affecting household cooking energy consumption.…”

Section: Cooking/hot Watermentioning

confidence: 99%

“…This may be due to the inconsistency in the division of end-use energy consumption and the study regions. Additionally, in the study by (Lee and Song, 2022b), only the energy consumption of cooking appliance was considered, and data on the consumption of fossil fuels such as coal and natural gas were not included.…”

Section: Cooking/hot Watermentioning

confidence: 99%

“…The second is a study of the end-use energy consumption of households and the key drivers. It is possible to maximize the understanding of household energy use characteristics (Daioglou et al, 2012) and effectively guide the energy saving behavior of residents (Lee and Song, 2022b). It can be considered that clarifying the characteristics of energy consumption and the end-use energy of households are the primary tasks in achieving energy saving in households.…”

Section: Introductionmentioning

confidence: 99%

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Subdividing end-use energy consumption based on household characteristics and climate conditions: insights from urban China

Wang,

Zhao,

Gao

et al. 2023

Front. Energy Res.

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Rapidly increasing household energy consumption poses significant challenges to global warming mitigation and the transition to low-carbon economies, particularly in China. This paper addresses this issue by introducing a comprehensive segmentation model which effectively subdivides household energy usage into five end-uses: cooking/hot water, heating, cooling, lighting, and power. The segmentation model uncovers compelling insights into urban end-use energy consumption patterns across China and variations among provinces. We observe a consistent increase in urban household end-use energy consumption and per capita energy consumption levels over the past decade. Heating and cooking/hot water emerge as the dominant contributors to household energy consumption, accounting for 26% and 40% of the total, respectively. Furthermore, it is found that higher levels of urbanization and improved living conditions are positively correlated with increased power energy consumption. The declining number of household members, primarily due to the prevalence of nuclear families, has resulted in higher energy end-use, particularly in both developed and underdeveloped economic areas. This paper serves as a valuable foundation for understanding and quantifying household end-use energy consumption. The findings contribute to a more comprehensive understanding of energy consumption patterns, facilitating a cleaner and more sustainable transformation of energy consumption structures.

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“…Many authors [2][3][4] also emphasised the role of the end-up activities in the process of intensifying the decarbonisation process. Important factors include patterns of operation of heating, cooling systems, and domestic hot water (e.g., usable temperature, use of local temperature control-thermostats), lighting, way of cooking, and equipping the building with appliances.…”

Section: Introductionmentioning

confidence: 99%

Deterministic Mathematical Model of Energy Demand of Single-Family Building with Different Parameters and Orientation of Windows in Climatic Conditions of Poland

Jezierski,

Święcicki,

Werner-Juszczuk

2024

Energies

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Location is crucial when it comes to reducing the energy demand of buildings. Deterministic mathematical models of the energy demand of a single-family building were developed for the cities of Wrocław and Suwałki, representing the mild and severe climatic conditions of Poland, respectively, and compared with energy demand for Białystok, representing medium conditions. Models include the windows area, heat transfer coefficient, solar radiation transmittance of glazing, and orientation of windows. For medium conditions (Białystok), the energy demand is 18.3% higher than for mild conditions (Wrocław) and 7.3% lower than for severe climate conditions (Suwałki). Location does not influence the nature of the effect of the factors on energy demand, which increases with an increase in heat transfer coefficient and a decrease in window area, glazing solar radiation transmittance, and orientation change from north to south. The large impact of solar gains was proved. The optimisation procedure was performed and mathematical descriptions of recommended parameters were created to ensure the equivalent energy efficiency of windows for each orientation and location. For Bialystok, north-facing windows can have an area 1.32 times larger and south-facing windows 1.48 times smaller than east-facing windows to ensure a building’s energy demand remains constant.

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Time-series analysis of the effects of building and household features on residential end-use energy

Cited by 8 publications

References 27 publications

Influencing Factors of Direct Carbon Emissions of Households in Urban Villages in Guangzhou, China

Influencing Factors of Direct Carbon Emissions of Households in Urban Villages in Guangzhou, China

Subdividing end-use energy consumption based on household characteristics and climate conditions: insights from urban China

Deterministic Mathematical Model of Energy Demand of Single-Family Building with Different Parameters and Orientation of Windows in Climatic Conditions of Poland

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