scholarly journals Household Water and Energy Consumption Changes during COVID-19 Pandemic Lockdowns: Cases of the Kazakhstani Cities of Almaty, Shymkent, and Atyrau

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 663
Author(s):  
Aidana Tleuken ◽  
Galym Tokazhanov ◽  
Aray-Bibi Serikbay ◽  
Kuanysh Zhalgasbayev ◽  
Mert Guney ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Water Consumption ◽  
Statistical Tests ◽  
Residential Energy ◽  
Daily Consumption ◽  
Household Energy ◽  
Sustainable Resources ◽  
Service Companies ◽  
Consumption Energy ◽  
At Home

The COVID-19 pandemic has changed the daily behaviors of people by forcing them to spend the majority of their time in their residences, particularly during social distancing measures. The increased time spent at home is expected to influence, among other things, the daily consumption of utilities: specifically, water and energy. A prolonged presence of residents at home during COVID-19 lockdowns might increase strain on water and energy resources, which are mostly from non-renewable sources in several countries, including Kazakhstan; however, such potentially important effects have not yet been studied for the country. The present research aims to evaluate how the COVID-19 pandemic lockdowns have affected the water and energy consumption in residential housings in cities of varying sizes in Kazakhstan, providing a novel understanding of the effect of pandemic lockdowns on household energy and water consumption. Energy and water consumption data of Almaty, Shymkent, and Atyrau have been first obtained from the local service companies, and then, the usage behavior was analyzed for the periods before, during, and after the COVID-19 pandemic lockdown. After, statistical tests were conducted to check the hypotheses regarding the effect of COVID-19 pandemic lockdowns on the consumption of energy and water. The findings indicate that residential energy and water consumption increased during the lockdown periods in large and medium cities. Nevertheless, this growth is not highly significant compared to similar non-pandemic timeframes. This result could indicate a particular risk for sustainable resources consumption and put pressure on the supply companies. Moreover, in case of further lockdown measures, current building systems are at risk of increased pressure, and eventually, of failure.

scholarly journals Dilution effect of the building area on energy intensity in urban residential buildings

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Jingxin Gao ◽  
Xiaoyang Zhong ◽  
Weiguang Cai ◽  
Hong Ren ◽  
Tengfei Huo ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Intensity ◽  
Energy Savings ◽  
Residential Buildings ◽  
Dilution Effect ◽  
Building Energy ◽  
Residential Energy ◽  
Stirpat Model ◽  
Building Area ◽  
Consumption Energy

Abstract Urban residential buildings make large contributions to energy consumption. Energy consumption per square meter is most widely used to measure energy efficiency in urban residential buildings. This study aims to explore whether it is an appropriate indicator. An extended STIRPAT model was used based on the survey data from 867 households. Here we present that building area per household has a dilution effect on energy consumption per square meter. Neglecting this dilution effect leads to a significant overestimation of the effectiveness of building energy savings standards. Further analysis suggests that the peak of energy consumption per square meter in China’s urban residential buildings occurred in 2012 when accounting for the dilution effect, which is 11 years later than it would have occurred without considering the dilution effect. Overall, overlooking the dilution effect may lead to misleading judgments of crucial energy-saving policy tools, as well as the ongoing trend of residential energy consumption in China.

Understanding change and continuity in residential energy consumption

2011 ◽  
Vol 11 (1) ◽  
pp. 61-78 ◽  
Author(s):  
Kirsten Gram-Hanssen
Keyword(s):  
Energy Consumption ◽  
Consumer Goods ◽  
Practice Theory ◽  
New Technology ◽  
Residential Energy ◽  
Household Energy ◽  
Household Energy Consumption ◽  
Consumer Studies ◽  
The Individual

Practice theory has recently emerged within consumer studies as a promising approach that shifts focus from the individual consumer towards the collective aspects of consumption, and from spectacular and conspicuous dimensions of consumption towards routine and mundane aspects of consumption. Practice theory is, however, not a commonly agreed upon theory, but more like an approach, or a turn within contemporary social theory. When using practice theory in consumer studies, there are thus several conditions that need further clarification. The focus in this article is on how change and continuity in practices can be understood in practice theory. Discussions will include the balance between routinization and reflectivity as well as ways to understand the role of new technology in introducing change in consumer practices. One aspect of this is a discussion on how to include technologies and other types of material consumer goods in practice theory. Case studies on household energy consumption are used as an empirical basis for these discussions. Looking at household energy consumption through the theoretical lens of practice theory necessitates discussion on whether energy consumption should be viewed as one single practice or part of several different practices. The latter stimulates questioning on how these different consumer practices are related to each other horizontally and vertically, as parallel practices or as different levels of practices, and whether changes in one practice affect (or refrain from affecting) other related consumer practices, whether through reflexivity, routines or the materiality of consumer goods.

Outlook of Indian Household Energy and Emission Profile

2013 ◽  
Vol 768 ◽  
pp. 265-271
Author(s):  
Satish Kumar Yawale
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Energy Use ◽  
High Energy ◽  
Consumption Pattern ◽  
Residential Energy ◽  
Demand And Supply ◽  
Household Energy ◽  
Life Style Changes ◽  
Energy Consumption Pattern

With rapid growth in economy, energy consumption in developing countries like India is increasing at a fast rate primarily due to increase in demand in energy intensive sectors. The adverse impacts on the environment due to high energy demand are also becoming evident. Energy consumption in household sector can be defined as the energy consumed in homes to meet the needs of the residents themselves. To understand the residential energy consumption pattern it is important to identify the drivers of energy use in developing India. The basic drivers are population growth, household size, fuel and technology, income level and life style changes. Energy and climate change related concern of the Indian economy include the growing gap between demand and supply of energy, and environmental externalities associated with energy use. In this paper the drivers of energy consumption and emission are identified and the Indian household energy consumption pattern is analyzed.

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.

Residential Resource Consumption

2018 ◽  
pp. 251-287
Author(s):  
Maryam Saydi ◽  
Ian D. Bishop
Keyword(s):  
Energy Consumption ◽  
Water Use ◽  
Water Consumption ◽  
Census Data ◽  
Linear Regression Models ◽  
Residential Energy ◽  
Structure Factors ◽  
Socio Economic Variables ◽  
Highly Correlated ◽  
Scenario Testing

Residential energy and water consumption depend on dwelling structure and the behaviour of residents. Aspects of residential behaviour can be derived from census data. Dwelling information is harder to obtain. Using both aerial and street-level views from Google mapping products, exterior dwelling characteristics were captured in each of 40 postal areas in and around Melbourne, Australia. This approach saved the time and cost of travelling to the widely spread suburbs and provided data not otherwise available. The census and dwelling data were compared with resource usage statistics in linear regression models. It was found that energy and water use are highly correlated, with socio-economic variables better explaining water consumption and dwelling structure factors better explaining energy consumption. Nevertheless, the proportions of households that include a couple with children and have a swimming pool provided useful models of variations in both energy and water use. Applications to planning through spatially explicit scenario testing were developed in ArcGIS ModelBuilder.

scholarly journals Modeling Residential Energy Consumption

2021 ◽  
Vol 29 (2) ◽  
pp. 166-193
Author(s):  
Roya Gholami ◽  
Rohit Nishant ◽  
Ali Emrouznejad
Keyword(s):  
Energy Consumption ◽  
Service Providers ◽  
Electricity Consumption ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
Smart Meters ◽  
Household Energy ◽  
Consumption Behavior ◽  
Data Mining Approach ◽  
Residential Characteristics

Smart meters that allow information to flow between users and utility service providers are expected to foster intelligent energy consumption. Previous studies focusing on demand-side management have been predominantly restricted to factors that utilities can manage and manipulate, but have ignored factors specific to residential characteristics. They also often presume that households consume similar amounts of energy and electricity. To fill these gaps in literature, the authors investigate two research questions: (RQ1) Does a data mining approach outperform traditional statistical approaches for modelling residential energy consumption? (RQ2) What factors influence household energy consumption? They identify household clusters to explore the underlying factors central to understanding electricity consumption behavior. Different clusters carry specific contextual nuances needed for fully understanding consumption behavior. The findings indicate electricity can be distributed according to the needs of six distinct clusters and that utilities can use analytics to identify load profiles for greater energy efficiency.

scholarly journals Analisis Konsumsi Energi Rumah Tangga Perkotaan di Indonesia: Periode Tahun 2008 dan 2011

2016 ◽  
Vol 16 (2) ◽  
pp. 141-153 ◽  
Author(s):  
Muhammad Nazer ◽  
Hefrizal Handra
Keyword(s):  
Energy Consumption ◽  
Income Elasticity ◽  
Total Energy Consumption ◽  
Household Energy ◽  
Main Determinant ◽  
Urban Household ◽  
Household Energy Consumption ◽  
Energy Consumption Analysis ◽  
Consumption Energy ◽  
Determinant Factor

Urban Household Energy Consumption Analysis in Indonesia: Period of 2008 and 2011The goal of the study is to analyze the pattern and the change of urban household energy consumption and their determinant factors in Indonesia period of 2008 and 2011 using SUSENAS data of household budget survey. The concept of energy ladder and fuel stacking (multi fuel) are used to make a model of household energy consumption. The result of study shows that total energy consumption was increase in the period of 2008 and 2011. Coefficient of income elasticity toward both of modern and traditional energy consumption are positive, it means that there is rising consumption of energy along with the rising income. Household income is the main determinant factor of energy used by household besides other non-economic factors.Keywords: Energy Consumption; Energy Ladder; Household Energy AbstrakPenelitian ini bertujuan untuk menganalisis pola dan perubahan konsumsi energi rumah tangga daerah perkotaan di Indonesia serta faktor-faktor yang memengaruhinya tahun 2008 dan 2011 dengan memanfaatkan data hasil survei pengeluaran rumah tangga SUSENAS. Konsep energy ladder dan fuel stacking (multi-fuel) diaplikasikan untuk membuat model konsumsi energi rumah tangga. Hasil penelitian memperlihatkan bahwa konsumsi energi (total), modern, dan tradisional rumah tangga perkotaan mengalami kenaikan pada periode tahun 2008 dan 2011. Koefisien elastisitas pendapatan terhadap konsumsi energi modern dan tradisional bernilai positif, yang berarti bahwa terjadi peningkatan konsumsi energi modern dan tradisional sejalan dengan peningkatan pendapatan. Pendapatan rumah tangga adalah faktor yang paling menentukan konsumsi energi rumah tangga di samping faktor non-ekonomi lainnya seperti luas lantai rumah dan jumlah anggota rumah tangga.

Socio-Economic Factors Affecting Individual Household Energy Consumption: A Systematic Review

2011 ◽  
Author(s):  
Suchismita Bhattacharjee ◽  
Georg Reichard
Keyword(s):  
Energy Consumption ◽  
Research Study ◽  
Economic Factors ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
Household Energy ◽  
Factors Affecting ◽  
Household Energy Consumption ◽  
Residential Sector ◽  
Socio Economic Factors

Energy consumption in the United States’ residential sector has been marked by a steady growth over the past few decades, in spite of the implementation of several energy efficiency policies. To develop effective energy policies for the residential sector, it is of utmost importance to study the various factors affecting residential energy consumption. Earlier studies have identified and classified various individual factors responsible for the increment in household energy consumption, and have also analyzed the effect of socio-economic factors such as standard-of-living and income on overall household energy consumption. This research study identifies the socio-economic factors affecting household energy consumption. Potential reasons for the variation in residential energy efficiency consumption have been investigated in previous studies that only represent viewpoints of investigators analyzing specific problems. Additionally, a comprehensive review of literature failed to reveal existing research that had systematically explored the interdependencies among the various factors that could possibly affect residential energy consumption to give an overall perspective of these factors. Widely used academic and scholarly scientific databases were employed by two independent investigators to search for original research investigations. A total of more than 200 research studies were found by the investigators, with almost ninety percent agreement between the two investigators. Based on the inclusion and exclusion criteria of this research study the authors systematically reviewed 51 prominent research studies to create a comprehensive list of factors affecting residential energy consumption. The results are discussed in this review.

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