Data-driven analysis of influential factors on residential energy end-use in the US

Kuang, Biao; Schelly, Chelsea; Ou, Ge; Sahraei-Ardakani, Mostafa; Tiwari, Shardul; Chen, Jianli

doi:10.1016/j.jobe.2023.106947

Cited by 7 publications

(4 citation statements)

References 67 publications

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“…However, natural gas consumption requires careful management due to its lower emissions but still significant impact [176]. When we assess Poland's reduction in hard coal consumption in relation to the European Union's decarbonization policy, we find a noteworthy alignment with the EU's overarching objective of gradually eliminating high-carbon fuels [177]. This synchronicity is particularly significant considering the EU's ambitious aim to achieve climate neutrality by 2050 [178].…”

Section: Discussionmentioning

confidence: 90%

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Gajdzik,

Jaciow,

Wolniak

et al. 2023

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The paper outlines the methodology employed for desk-based research, which involved gathering and analyzing empirical data on energy and heating consumption in the Polish small consumer sector. Secondary sources, including reports, documents, scientific publications, and public statistics, were utilized to ensure a comprehensive understanding of the subject matter. The research methodology ensured the acquisition and examination of reliable and extensive data regarding energy and heat consumption among small consumers in Poland. The study investigated consumption trends of hard coal, electricity, and natural gas in Polish households from 2006 to 2021. The findings revealed an increasing pattern in electricity and natural gas consumption, alongside a simultaneous decline in the usage of hard coal. Future consumption was estimated using trend models, and factors contributing to changes in energy consumption patterns were examined, with forecasts to 2027. To achieve decarbonization and address climate objectives, the study underscores the need to increase the proportion of renewable energy sources and boost energy efficiency. The significance of reducing household energy consumption through enhanced insulation, smart energy management systems, and low-carbon alternatives is emphasized. Additionally, the study addresses Poland’s future energy plans as a proactive step toward decarbonizing the national economy. In summary, the study furnishes valuable insights into energy consumption trends and their determinants in the Polish small consumer sector.

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Section: Discussionmentioning

confidence: 90%

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Gajdzik,

Jaciow,

Wolniak

et al. 2023

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“…While the total carbon emission in the United States (US) is gradually decreasing, the US still releases around 5 billion tons of carbon annually, accounting for ~14% of total global emissions [2,3] . In the US, the residential sector contributes to ~20% of annual total energy usage and ~19% of carbon emissions (including direct consumption of fossil fuels and indirect emission by electricity generation), showing great potential in decarbonization and energy-saving [4][5][6] . Carbon footprints demonstrate great regional differences due to the diversity of population density, economic activities, and energy sources [7,8] .…”

Section: Introductionmentioning

confidence: 99%

Regional Difference of US Residential Building Energy Usage and Carbon Footprint: State-Level Analysis

Chen,

Kuang

2024

Jounarl of Building Design and Environment

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United States (US) residential buildings demonstrate great decarbonization and energy-saving potential. However, research on the carbon footprint of residential buildings at the state level, especially consumption-based emissions, is limited. Therefore, this paper aims to quantify and compare the state-level carbon emissions and energy consumption of residential buildings in the US. Specifically, state carbon emission factors of electricity are estimated using area and population-based interpolations of eGRID regional carbon factors. Total carbon emissions and carbon intensity (e.g., carbon emission per household/ capita) of each state are then calculated based on the 2020 Residential Energy Consumption Survey dataset. Results of state carbon footprints demonstrate regional differences and spatial patterns: Texas and California stand out as the top energy consumers and contribute to the largest amount of carbon emissions, while Missouri has the highest carbon intensity on a household/ capita/ housing area basis. Also, west and east coastal states (e.g., California) exhibit lower carbon intensities than central states. Sensitivity analysis concludes that highly electrified states (e.g., Florida and Hawaii) are more sensitive to the carbon emission factor of electricity generation, with sensitivity degrees over 0.97. Furthermore, correlation analysis indicates that total carbon emission and its sensitivity to electricity carbon emission factor, as well as emission intensity positively correlate with state energy profile (e.g., gas ratio). Therefore, to achieve residential building decarbonization, besides energy-conservative measures, high gas-penetration states (e.g., Illinois) need to reduce direct fossil fuel use in residential energy services; states with high carbon emission factors and electrifications, e.g., Hawaii and Missouri, need to decarbonize electricity generation by adopting renewable energy as sources. The research findings contribute to understanding the regional variations in carbon footprints and energy usage of residential buildings, facilitating the development of tailored decarbonization and energy-saving measures for targeting states in the US.

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“…Specifically, outside temperatures [5] and climate zones (i.e., geographical location) [6] significantly affect energy needs and usage. Energy demands and consumption purposes vary greatly across different geographical locations [7]. In colder locations, more energy is used for heating, whereas warmer locations need more energy for cooling.…”

Section: Introductionmentioning

confidence: 99%

“…In colder locations, more energy is used for heating, whereas warmer locations need more energy for cooling. Secondly, building attributes, such as house size and age, number of rooms, building insulation, and construction materials, have been shown to be systematically related to the energy consumption of residential buildings [7]. Thirdly, the number and type of appliances significantly impact households' energy use [8].…”

Section: Introductionmentioning

confidence: 99%

Thermostat Anchors: Do Temperature Scale Characteristics Affect the Selection of Temperature Setpoints for Residential Homes?

Reimer,

Oh,

Loaiza-Ramírez

et al. 2024

Sustainability

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Characteristics of scales, such as the labels that are used on scales, have been shown to affect judgments. The scale-dependency hypothesis predicts specific effects of the properties of a temperature scale on residents’ choices of temperature setpoints. Based on the literature on anchoring in judgment and decision making, we assessed the effects of the displayed current temperature, midpoint, range, and increment of temperature scales on the selection of setpoint temperatures for residential homes. Participants (N = 384) were asked to imagine that they work as a manager of a residential apartment complex and to select, in this function, setpoint temperatures for incoming residents. The experiment revealed independent effects of the current temperature as well as the midpoint and range of the used scale on the selected setpoints. The scale increment did not systematically affect the chosen temperatures.

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Data-driven analysis of influential factors on residential energy end-use in the US

Cited by 7 publications

References 67 publications

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Regional Difference of US Residential Building Energy Usage and Carbon Footprint: State-Level Analysis

Thermostat Anchors: Do Temperature Scale Characteristics Affect the Selection of Temperature Setpoints for Residential Homes?

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