scholarly journals A Hedonic Analysis of the Impact of Tree Shade on Summertime Residential Energy Consumption

2010 ◽  
Vol 36 (2) ◽  
pp. 73-80
Author(s):  
Ram Pandit ◽  
David Laband
Keyword(s):  
Energy Consumption ◽  
Statistical Model ◽  
Empirical Model ◽  
Hedonic Analysis ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
Large Sample ◽  
The Impact ◽  
Suburban Environment

Trees cast shade on homes and buildings, lowering the inside temperatures and thus reducing the demand for power to cool these buildings during hot times of the year. Drawing from a large sample of residences in Auburn, Alabama, U.S., a statistical model was developed to produce specific estimates of the electricity savings generated by shade-producing trees in a suburban environment. This empirical model links residential energy consumption to hedonic characteristics of the structures, characteristics/ behaviors of the occupants, and the extent and density of shade cast on the structures at different times of the day.

scholarly journals Empirical Analysis of the Impact of COVID-19 Social Distancing on Residential Electricity Consumption Based on Demographic Characteristics and Load Shape

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7523
Author(s):  
Minseok Jang ◽  
Hyun Cheol Jeong ◽  
Taegon Kim ◽  
Dong Hee Suh ◽  
Sung-Kwan Joo
Keyword(s):  
Energy Consumption ◽  
Electricity Consumption ◽  
Time Varying ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
Household Energy ◽  
Social Distancing ◽  
Household Energy Consumption ◽  
Load Shape ◽  
The Impact

Since January 2020, the COVID-19 pandemic has been impacting various aspects of people’s daily lives and the economy. The first case of COVID-19 in South Korea was identified on 20 January 2020. The Korean government implemented the first social distancing measures in the first week of March 2020. As a result, energy consumption in the industrial, commercial and educational sectors decreased. On the other hand, residential energy consumption increased as telecommuting work and remote online classes were encouraged. However, the impact of social distancing on residential energy consumption in Korea has not been systematically analyzed. This study attempts to analyze the impact of social distancing implemented as a result of COVID-19 on residential energy consumption with time-varying reproduction numbers of COVID-19. A two-way fixed effect model and demographic characteristics are used to account for the heterogeneity. The changes in household energy consumption by load shape group are also analyzed with the household energy consumption model. There some are key results of COVID-19 impact on household energy consumption. Based on the hourly smart meter data, an average increase of 0.3% in the hourly average energy consumption is caused by a unit increase in the time-varying reproduction number of COVID-19. For each income, mid-income groups show less impact on energy consumption compared to both low-income and high-income groups. In each family member, as the number of family members increases, the change in electricity consumption affected by social distancing tends to decrease. For area groups, large area consumers increase household energy consumption more than other area groups. Lastly, The COVID-19 impact on each load shape is influenced by their energy consumption patterns.

scholarly journals Analysis of the EU Residential Energy Consumption: Trends and Determinants

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1065 ◽  
Author(s):  
Sofia Tsemekidi Tzeiranaki ◽  
Paolo Bertoldi ◽  
Francesca Diluiso ◽  
Luca Castellazzi ◽  
Marina Economidou ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Complex Dynamics ◽  
Decomposition Analysis ◽  
Weather Conditions ◽  
The European Union ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
The Impact ◽  
The Eu

This article analyses the status and trends of the European Union (EU) residential energy consumption in light of the energy consumption targets set by the EU 2020 and 2030 energy and climate strategies. It assesses the energy efficiency progress from 2000 to 2016, using the official Eurostat data. In 2016, the residential energy consumption amounted to 25.71% of the EU’s final energy consumption, representing the second largest consuming sector after transport. Consumption-related data are discussed together with data on some main energy efficiency policies and energy consumption determinants, such as economic and population growth, weather conditions, and household and building characteristics. Indicators are identified to show the impact of specific determinants on energy consumption and a new indicator is proposed, drawing a closer link between energy trends and policy and technological changes in the sector. The analysis of these determinants highlights the complex dynamics behind the demand of energy in the residential sector. Decomposition analysis is carried out using the Logarithmic Mean Divisia Index technique to provide a more complete picture of the impact of various determinants (population, wealth, intensity, and weather) on the latest EU-28 residential energy consumption trends. The article provides a better understanding of the EU residential energy consumption, its drivers, the impact of current policies, and recommendations on future policies.

scholarly journals Estimating the impact of heat accounting on Italian residential energy consumption in different scenarios

2018 ◽  
Vol 168 ◽  
pp. 385-398 ◽  
Author(s):  
L. Canale ◽  
M. Dell'Isola ◽  
G. Ficco ◽  
B. Di Pietra ◽  
A. Frattolillo
Keyword(s):  
Energy Consumption ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
The Impact

scholarly journals Beyond the City: Effects of Urbanization on Rural Residential Energy Intensity and CO2 Emissions

2019 ◽  
Vol 11 (8) ◽  
pp. 2421 ◽  
Author(s):  
Qiu Chen ◽  
Haoran Yang ◽  
Wenguo Wang ◽  
Tianbiao Liu
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Energy Intensity ◽  
Biomass Energy ◽  
Mitigation Strategies ◽  
Net Income ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
The Impact

Trends of rural residential energy consumption and CO2 emission should be evaluated in a broader context of urbanization, especially in developing countries where urbanization is in its expanding stage. In this study, we use the STIRPAT model and various panel regression techniques to explore the impact of urbanization on rural residential energy consumption and CO2 emission by using data from Southwest China. The results show that a higher urbanization level contributes to higher total residential energy intensity. Increases in net income per capita can decrease the intensities of traditional biomass energy and non-biomass energy, while industrialization has a negative effect only on non-biomass energy intensity. Land use change driven by urbanization can also lower the intensities of total residential energy, traditional biomass energy and non-biomass energy. Moreover, the impact of total residential energy intensity on emissions is positive. Particularly, traditional biomass energy accounts for most of CO2 emissions derived from the use of residential energy. As urbanization is expected to increase in the developing world and lead to more CO2 emissions from rural areas, policies which intend to reduce the intensity of traditional biomass energy, promote biogas and industrialization, and raise net income of rural residents can be used as effective mitigation strategies.

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