Energy poverty: An overview

González-Eguino, Mikel

doi:10.1016/j.rser.2015.03.013

Cited by 633 publications

(243 citation statements)

References 21 publications

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“…Bouzarovski [4] mentions the existence of a separate category of studies focused on the developing world that discuss "energy poverty" in a different sense than that used in the current paper. In fact, this distinction can be directly observed both in academic research papers and reports on the topic [7,[15][16][17][18]. It is estimated that around 100 million people are affected by energy poverty in Europe [19], and that close to 1.2 billion people worldwide do not have access to electricity [20].…”

Section: Terminology and Definitionmentioning

confidence: 99%

Implications and Measurement of Energy Poverty across the European Union

et al. 2016

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Energy poverty, or the inability of households to afford adequate access to energy services, is an issue that can have a significant effect on the quality of life and even the state of health of individuals and even the overall development of a nation. Since it was first brought into focus more than two decades ago in the UK, this topic has gradually gained the attention of academics and policy makers all across the EU and beyond. The current paper addresses the topic by providing not only a renewed discussion, but also an improved energy poverty indicator (with clear and relevant results at the EU level): the Compound Energy Poverty Indicator (CEPI). Moreover, knowing that the risk of poverty and social exclusion, efficiency of heating systems, total consumption of energy per household and rising energy prices tend to increase the severity of this problem in some countries, CEPI is then included into an econometric model so as to determine some possible factors that tend to put pressure on an already existing issue of energy poverty. The results of this research are expected to be relevant not only for academics (as it offers insights into the structure and severity of this topic within the European Union), but also for national and EU policymakers who are confronted in the field with the problem of sustainable development.

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Section: Terminology and Definitionmentioning

confidence: 99%

Implications and Measurement of Energy Poverty across the European Union

et al. 2016

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“…For educational degrees above junior high school level, the proportion is smallest in the Qinling piedmont area (43.98%) and highest in the plain area (68.16%), with the loess tableland area being intermediate (60.25%). Studies have shown that people with little education use more biomass energy than those who are more highly educated [50][51][52]. Using a large amount of biomass energy with larger emission coefficients and lower thermal efficiency generates more emissions.…”

Section: Analysis Of Influence Factors Of Emission Disparitiesmentioning

confidence: 99%

Regional Disparities in Emissions of Rural Household Energy Consumption: A Case Study of Northwest China

et al. 2017

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Abstract:The purpose of this paper is to present the emissions status of multiple rural areas from the perspective of a field survey and make up for the defects of the traditional emission cognition of single type of area. The basic data in the lower reaches of the Weihe River of Northwest China were collected through household questionnaire surveys, and emissions from rural household energy consumption were calculated in the paper. In addition, the grey relational analysis method was used to identify influential factors of emission disparities. The results show that the total emissions of the plain, loess tableland, and Qinling piedmont areas are 1863.20, 1850.43, and 2556.68 kg, respectively. Regional disparities in emissions of rural household energy consumption vary greatly. CO 2 emissions are highest in the Qinling piedmont area, followed by the loess tableland area. For other emissions, there is no fixed order of the three areas, which suggests that disparities in emissions are connected with the dominant type of energy consumption. Diversification of energy use might not necessarily produce higher emissions, but the traditional biomass energy pattern does generate more emissions. The regional supply capacity of household energy is the original influence factor of disparities in emissions, and factors that influence these disparities are directly related to differences among farmers, followed by the age structure, educational background, income level, occupation, and so on.

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“…where Q h,c is cumulative monthly heating or cooling energy (MWh), α x , is the emission of x gas per annum and EF x is emission coefficient of x gas, which could be CO 2 , CH 4 , NO x , SO x , etc. Emission factors are usually determined per annum and they vary from one country to another as they are influenced by the primary means of energy production.…”

Section: Greenhouse Gas Emissionmentioning

confidence: 99%

“…across the opaque components of the thermal envelope. To estimate the thermal load of the house due to its thermal behavior, the heating and cooling degree-hours was first determine using Equations (3) and (4). Traditionally, degree-hours is simply the sum of the difference between the average outdoor air temperature and reference temperature.…”

Section: Heating and Cooling Loadmentioning

confidence: 99%

“…Energy poverty can be defined as a state whereby occupants or households lack access or resource to afford basic energy services. Over two billion people worldwide live without electricity and rely on solid fuels such as biomass fuels and coal for their energy needs [4]. According to the World Health Organization (WHO), indoor air pollution increases the risk of pneumonia among children and chronic respiratory diseases for adults.…”

Section: Introductionmentioning

confidence: 99%

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Thermal, Economic and Environmental Analysis of a Low-Cost House in Alice, South Africa

2017

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Indoor and outdoor temperature variation results in heat transfer between the inner and outer space of a house, subsequently drifting the indoor temperature out of the thermal comfort zone. This leads to occupants spending a significant amount of their income on space heating and cooling to achieve thermal comfort. The aim of this study is to analyze the thermal, economic and environmental impact of a low-cost house. A low-cost house located in Golf Course, Alice was used as a case study. The outdoor and indoor weather conditions of the house were monitored for periods covering summer and winter seasons. To maintain indoor thermal comfort, 3412.57 kWh of heating and 3214.75 kWh cooling energy were required in winter and summer seasons, respectively. At a rate of 1 ZAR equal to 13.34 USD and 29.39 c/kWh, the energy consumption results in $1003.02 worth of heating energy in winter and $944.88 of cooling energy in summer. In both seasons, to supply the equivalent amount of thermal energy used in the house from a coal-fired power plant, 9.65 ton of CO 2 , 81.71 kg of SO 2 and 39.50 kg of NO 2 gases will be emitted into the atmosphere. Promoting and enforcing energy efficient design in low-cost housing will not only bring about energy savings, but will also provide a year-round indoor thermal comfort.

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Energy poverty: An overview

Cited by 633 publications

References 21 publications

Implications and Measurement of Energy Poverty across the European Union

Implications and Measurement of Energy Poverty across the European Union

Regional Disparities in Emissions of Rural Household Energy Consumption: A Case Study of Northwest China

Thermal, Economic and Environmental Analysis of a Low-Cost House in Alice, South Africa

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