Exploring the impact of temperature change on residential electricity consumption in China: the ‘crowding-out’ effect of income growth

2021 ◽  
pp. 111040
Author(s):  
Mingyang Zhang ◽  
Yuling Chen ◽  
Wuyang Hu ◽  
Nanxin Deng ◽  
Wenjian He
Keyword(s):  
Temperature Change ◽  
Electricity Consumption ◽  
Income Growth ◽  
Crowding Out ◽  
Residential Electricity ◽  
Residential Electricity Consumption ◽  
The Impact

Quantitative estimation of the impact of climate change on residential electricity demand for the city of Greater Accra, Ghana

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Timothy King Avordeh ◽  
Samuel Gyamfi ◽  
Alex Akwasi Opoku
Keyword(s):  
Climate Change ◽  
Energy Demand ◽  
Electricity Consumption ◽  
Electricity Demand ◽  
Content Type ◽  
Residential Electricity ◽  
The Government ◽  
Residential Electricity Consumption ◽  
The Impact ◽  
The City

Purpose The purpose of this paper is to investigate the impact of temperature on residential electricity demand in the city of Greater Accra, Ghana. It is believed that the increasing trend of temperatures may significantly affect people’s lives and demand for electricity from the national grid. Given the recurrent electricity crisis in Ghana, this study will investigate both the current and future residential energy demands in the light of temperature fluctuations. This will inform future power generation using renewable energy resources mix to find a sustainable solution to the recurrent energy demand challenges in Ghana. This study will help the Government of Ghana to better understand the temperature dependence of residential energy demand, which in turn will help in developing behavioral modification programs aimed at reducing energy consumption. Monthly data for the temperature and residential electricity consumption for Greater Accra Region from January 2007 to December 2018 obtained from the Ghana Meteorological Service (GMS) and Ghana Grid Company (Gridco), respectively, are used for the analysis. Design/methodology/approach This study used monthly time series data from 2007 to 2018. Data on monthly electricity demand and temperature are obtained from the Ghana Grid Company and GMS. The theoretical framework for residential electricity consumption, the log-linear demand equation and time series regression approaches was used for this study. To demonstrate certain desirable properties and to produce good estimators in this study, an analysis technique of ordinary least squares measurement was also applied. Findings This study showed an impact on residential electricity requirements in the selected regions of Greater Accra owing to temperature change. The analysis suggests a substantial positive response to an increase in temperature demand for residential electricity and thus indicates a growth of the region’s demand for electricity in the future because of temperature changes. As this analysis projects, the growth in the electricity demand seems too small for concern, perhaps because of the incoherence of the mechanisms used to regulate the temperature by the residents. However, two points should be considered when drawing any conclusions even in the case of Greater Accra alone. First, the growth in the demand for electricity shown in the present study is the growth of demand due only to increasing temperatures that do not consider changes in all the other factors driving the growth of demand. The electricity demand will in the future increase beyond what is induced by temperature, due to increasing demand, population and mechanization and other socioeconomic factors. Second, power consumption understated genuine electricity demand, owing to the massive shedding of loads (Dumsor) which occurred in Ghana from 2012 to 2015 in the analysis period that also applies in the Greater Accra region. Given both of these factors, the growth in demand for electricity is set to increase in response to climate change, which draws on the authorities to prepare more critically on capacity building which loads balancing. The results also revealed that monthly total residential electricity consumption, particularly the monthly peak electricity consumption in the city of Accra is highly sensitive to temperature. Therefore, the rise in temperature under different climate change scenarios would have a high impact on residential electricity consumption. This study reveals that the monthly total residential electricity demand in Greater Accra will increase by up to 3.1%. Research limitations/implications The research data was largely restricted to only one region in Ghana because of the inconsistencies in the data from the other regions. The only climate variable use was temperature because it was proven in the literature that it was the most dominant variable that affects electricity demand, so it was not out of place to use only this variable. The research, however, can be extended to capture the entire regions of the country if sponsorship and accurate data can be obtained. Practical implications The government as the policy and law-making authority has to play the most influential role to ensure adaptation at all levels toward the impact of climate change for residential consumers. It is the main responsibility of the government to arrange enough supports to help residential consumers adapt to climate change and try to make consumers self-sufficient by modification of certain behaviors rather than supply dependent. Government bodies need to carefully define their climate adaptation supports and incentive programs to influence residential-level consumption practices and demand management. Here, energy policies and investments need to be more strategic. The most critical problem is to identify the appropriate adaptation policies that favor the most vulnerable sectors such as the residential sector. Social implications To evaluate both mitigation and adaptation policies, it is important to estimate the effect of climate change on energy usage around the world. Existing empirical figures, however, are concentrated in Western nations, especially the USA. To predict how electricity usage will shift in the city of Greater Accra, Ghana, the authors used regular household electricity consumption data. Originality/value The motivation for this paper and in particular the empirical analysis for Ghana is originality for the literature. This paper demonstrates an adequate understanding of the relevant literature in modern times.

The impact of age groups on consumption of residential electricity in Azerbaijan

2017 ◽  
Vol 50 (4) ◽  
pp. 339-351 ◽  
Author(s):  
Fakhri J. Hasanov ◽  
Jeyhun I. Mikayilov
Keyword(s):  
Age Groups ◽  
Electricity Consumption ◽  
Correction Method ◽  
Small Samples ◽  
Bounds Testing ◽  
Residential Electricity ◽  
Working Age ◽  
Residential Electricity Consumption ◽  
Social Environmental ◽  
The Impact

In this study, we examined the impacts of population age groups of 0–14, 15–64 and 65-above on residential electricity consumption in Azerbaijan within the STIRPAT framework. Unlike many prior studies of STIRPAT framework, we analyzed this impact, employing co-integration and error correction method in order to rule out possible spurious estimation results caused by non-stationary data used. Results from the Autoregressive Distributed Lags Bounds Testing approach, which is the preferred method among alternatives in the case of small samples, indicated that the affluence together with age groups have significant impact on the residential electricity consumption in Azerbaijan and the biggest effect comes from the age group of 15–64, which is the working age population. Another finding of the study is that if there is any (economic, social, environmental, etc.) shock to the system that initially affect residential electricity consumption and affluence, the whole shock will be absorbed by the system less than in one year. Findings of the study may be useful in making appropriate decisions in the fields of residential electricity consumption.

scholarly journals How Population Age Distribution Affects Future Electricity Demand in Korea: Applying Population Polynomial Function

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5360 ◽  
Author(s):  
Ha-Hyun Jo ◽  
Minwoo Jang ◽  
Jaehyeok Kim
Keyword(s):  
Energy Demand ◽  
Total Population ◽  
Polynomial Function ◽  
Age Distribution ◽  
Electricity Consumption ◽  
Residential Electricity ◽  
Variable Population ◽  
Temperature Impact ◽  
Residential Electricity Consumption ◽  
The Impact

Mounting evidence shows that economic and climate variables such as income, energy price, and temperature impact energy demand. We examined another variable, population age distribution, which has rarely been considered, that could affect energy demand. We employ population polynomials to account for the impact of population age distribution on residential electricity consumption in Korea. Using panel data from 1990 to 2016, we verify that populations aged 20~44, and those over 60, raise residential electricity consumption. We additionally evaluate the impact of population age distribution in forecasting future electricity consumption and conclude that age distribution effects dominate total population growth effects.

scholarly journals Heterogeneous Study of Multiple Disturbance Factors Outside Residential Electricity Consumption: A Case Study of Beijing

2021 ◽  
Vol 13 (6) ◽  
pp. 3335
Author(s):  
Yaqing Sheng ◽  
Jinpeng Liu ◽  
Delin Wei ◽  
Xiaohua Song
Keyword(s):  
Electricity Consumption ◽  
Measurement Model ◽  
Power Demand ◽  
Regional Power ◽  
Residential Electricity ◽  
Optimization Management ◽  
Multiple Disturbance ◽  
Residential Electricity Consumption ◽  
The Impact

Residential electricity consumption is an important part of the electricity consumption of the whole society. The systematic analysis of the influence mechanism of the external complex factors of residential electricity consumption is significant for scientific and effective power demand side optimization management. From the socio-economic and climate perspectives, Spearman’s correlation was used to analyze external multiple disturbance indicators, and principal component analysis (PCA) was used to reduce data dimensionality. The multi-factor residential electricity measurement model (PCA-MCA) was established to explore the heterogeneity of influence mechanisms. Taking Beijing as a case study, the results show that the sensitivity of residential electricity consumption of Beijing to socio-economic indicators is greater than that of climate indicators, and the two influencing factors are obviously heterogeneous. The impact of socio-economic factors on residential electricity consumption appears to have continuous and stable characteristics, but climate factors are more volatile. This paper discusses factors and disturbance mechanisms of regional residential electricity consumption, fully considering the actual situation in Beijing. Taking the realization of regional power demand lateral optimization management as the idea, the paper proposes some optimization strategies to achieve regional power availability. This provides an analysis basis and practical reference for sustainable development of regional power.

scholarly journals Nexus between residential electricity consumption and household characteristics: heterogeneous urban and rural panel evidences from North China

2021 ◽  
Vol 257 ◽  
pp. 02011
Author(s):  
Mingliang Liang ◽  
Wenxuan Li ◽  
Jie Ji ◽  
Lili Liu ◽  
Shiying Zhang ◽  
...  
Keyword(s):  
Influencing Factors ◽  
North China ◽  
Electricity Consumption ◽  
Rural Residents ◽  
The Sustainable Development ◽  
Household Characteristics ◽  
Residential Electricity ◽  
Per Capita ◽  
Residential Electricity Consumption ◽  
The Impact

With the growth of residential electricity consumption and the development of power energy conservation, exploring the factors that affect residential electricity consumption is of great significance for promoting the sustainable development of the regional economy-power system. This paper examines the influencing factors of residential electricity consumption according to the data in 6 provinces in North China over 2008-2018, and two panels named urban panel and rural panel are constructed. Three conventional influencing factors are selected in this paper, namely, population (POP), per capita disposable income (DI) and per capita consumption expenditure (PCCE). Furthermore, considering that household characteristics have an impact on residential electricity consumption, this paper adds the number of household appliances (HA) and the per capita housing area (LS) into the factor set. Heterogeneous panel analysis techniques are applied to achieve the analysis, finding that household characteristics have significant impacts on electricity consumption of urban and rural residents, and the impact on electricity consumption of urban residents is greater than that on rural residents. Based on the empirical results, this paper puts forward several policy recommendations to effectively improve the residential electricity consumption and reduce the gap between urban and rural residential electricity consumption.

Sign in / Sign up

Export Citation Format

Share Document