scholarly journals CONCEPT OF ENERGY POVERTY IN SLOVAKIA

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Richard Filčák ◽  
Dušana Dokupilová
Keyword(s):  
Energy Poverty

Measuring the Energy Poverty and the Accuracy in Korea

2019 ◽  
Vol 27 (4) ◽  
pp. 41-74
Author(s):  
Hahyun Jo ◽  
Hyungwoo Lim ◽  
Haedong Kim
Keyword(s):  
Energy Poverty

Green Sukuk, Energy Poverty, and Climate Change: A Roadmap for Sub-Saharan Africa

2018 ◽  
Author(s):  
Dalal Aassouli ◽  
Mehmet Asutay ◽  
Mahmoud Mohieldin ◽  
Tochukwu Chiara Nwokike
Keyword(s):  
Climate Change ◽  
Sub Saharan Africa ◽  
Energy Poverty ◽  
Sub Saharan

scholarly journals Behavior Patterns, Energy Consumption and Comfort during COVID-19 Lockdown Related to Home Features, Socioeconomic Factors and Energy Poverty in Madrid

2021 ◽  
Vol 13 (11) ◽  
pp. 5949
Author(s):  
Teresa Cuerdo-Vilches ◽  
Miguel Ángel Navas-Martín ◽  
Ignacio Oteiza
Keyword(s):  
Energy Consumption ◽  
Thermal Adaptation ◽  
Vulnerability Index ◽  
General Increase ◽  
Energy Poverty ◽  
Poor Households ◽  
Global Spread ◽  
Containment Measures ◽  
The Face ◽  
Future Harm

During spring 2020, the world was shocked at the imminent global spread of SARS-CoV-2, resorting to measures such as domestic confinement. This meant the reconfiguration of life in an unusual space; the home. However, not all households experienced it in the same way; many of them were vulnerable. A general increase in energy consumption and discomfort in many cases, led these families to suffer the ravages of confinement. This study analyzes the energy and comfort situation for the Madrid (Spain) population, according to the configuration of the homes, the characteristics of the dwellings, the vulnerability index by district, and energy poverty (measured with the 10% threshold of energy expenditure of home incomes). The results show a greater exposure, in confinement, of vulnerable and energy-poor households to scenarios of discomfort in the home, to which they could not respond, while energy consumption inevitably increased. Driven by need, energy-poor homes applied certain saving strategies, mainly resorting to thermal adaptation with clothing. This study shows the risk these households experienced in the face of an extreme situation, and invites reflection on preventive and containment measures that aim to avoid harming the disadvantaged in the future; harm that would also entail serious consequences on the health of their cohabitants.

scholarly journals Does Energy Poverty Affect Energy Efficiency Investment Decisions? First Evidence from a Stated Choice Experiment

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1698
Author(s):  
Dimitris Damigos ◽  
Christina Kaliampakou ◽  
Anastasios Balaskas ◽  
Lefkothea Papada
Keyword(s):  
Energy Efficiency ◽  
Choice Experiment ◽  
Alternative Energy ◽  
Investment Decisions ◽  
Heating System ◽  
Energy Poverty ◽  
Protection Measures ◽  
Information Campaigns ◽  
Effective Option ◽  
Vulnerable Households

Energy poverty is a multidimensional and continuously growing societal problem, with political roots. In pursuit of mitigating the problem, the European Commission has adopted a bundle of policies, such as consumer protection measures, short-term financial interventions, motivations for energy efficiency (e.g., energy retrofits and replacement of old household appliance) and information campaigns, among others. There is no doubt, however, that increasing the income of vulnerable households would be the most preferred and effective option. Focusing on energy efficiency, a measure typically incorporated in the National Energy and Climate Plans (NECPs) of many Member States as a means to fight energy poverty, this paper aims to shed light on the need to gradually move towards more localized—not to say personalized—actions. In this direction, a labeled choice-based experiment is used, which involves a hypothetical selection between three alternative energy interventions, i.e., house retrofit, upgrading of heating system and upgrading of household electrical appliances. The research aims to integrate the preferences of households from the choice experiment with indicators of energy poverty and establish a connection between energy poverty and energy efficiency investment decisions. The results demonstrate that households’ preferences are affected by qualitative and quantitative aspects of energy vulnerability and sociodemographic characteristics. Furthermore, vulnerable households seem to be more prone to the so-called “discounting gap”, as previous studies also suggest. These findings are worrisome because, without tailor-made support, these households may never escape the vicious circle of energy poverty. To this end, the survey could provide useful information to policy-makers towards developing more robust policies of energy poverty alleviation.

scholarly journals Exploring the complex origins of energy poverty in The Netherlands with machine learning

Energy Policy ◽  
2021 ◽  
Vol 156 ◽  
pp. 112373
Author(s):  
Francesco Dalla Longa ◽  
Bart Sweerts ◽  
Bob van der Zwaan
Keyword(s):  
Machine Learning ◽  
The Netherlands ◽  
Energy Poverty

scholarly journals Prediction of Fuel Poverty Potential Risk Index Using Six Regression Algorithms: A Case-Study of Chilean Social Dwellings

2021 ◽  
Vol 13 (5) ◽  
pp. 2426
Author(s):  
David Bienvenido-Huertas ◽  
Jesús A. Pulido-Arcas ◽  
Carlos Rubio-Bellido ◽  
Alexis Pérez-Fargallo
Keyword(s):  
Low Income ◽  
Potential Risk ◽  
Energy Use ◽  
Risk Index ◽  
Computing Time ◽  
Simulated Data ◽  
Real Data ◽  
Support Vector ◽  
Energy Poverty ◽  
Regression Algorithms

In recent times, studies about the accuracy of algorithms to predict different aspects of energy use in the building sector have flourished, being energy poverty one of the issues that has received considerable critical attention. Previous studies in this field have characterized it using different indicators, but they have failed to develop instruments to predict the risk of low-income households falling into energy poverty. This research explores the way in which six regression algorithms can accurately forecast the risk of energy poverty by means of the fuel poverty potential risk index. Using data from the national survey of socioeconomic conditions of Chilean households and generating data for different typologies of social dwellings (e.g., form ratio or roof surface area), this study simulated 38,880 cases and compared the accuracy of six algorithms. Multilayer perceptron, M5P and support vector regression delivered the best accuracy, with correlation coefficients over 99.5%. In terms of computing time, M5P outperforms the rest. Although these results suggest that energy poverty can be accurately predicted using simulated data, it remains necessary to test the algorithms against real data. These results can be useful in devising policies to tackle energy poverty in advance.

scholarly journals Expenditure-Based Indicators of Energy Poverty—An Analysis of Income and Expenditure Elasticities

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 8
Author(s):  
Johannes Thema ◽  
Florin Vondung
Keyword(s):  
Energy Expenditure ◽  
Micro Data ◽  
European Union Policy ◽  
Energy Poverty ◽  
Union Policy ◽  
Depth Sensitivity ◽  
Policy Agendas ◽  
Poverty Indicators ◽  
Specific Country ◽  
The Eu

Energy poverty is high up on national and European Union policy agendas. A number of possible indicators to measure the issue have been identified in the literature, but comparable data with European coverage is scarce. The EU Commission thus proposes four independent indicators on the “EU Energy Poverty Observatory” based on self-reported items from the pan-European surveys on income and living conditions (SILC) and household budgets (HBS). It is of increasing public interest to analyse social impacts of energy policies, and quantify energy poverty indicators also from modelling. This paper first shortly outlines how the expenditure-based indicators using HBS micro data may be directly linked to existing macroeconomic models through their defining variables (energy expenditure and income). As endogenous modelling based on micro data is difficult, the link may be country-specific elasticities. The main contribution of the paper is a systematic in-depth sensitivity analysis of the two indicators to changes in income and energy expenditure following varying patterns in the underlying distributions of the micro data. The results may be used by future soft links to models. The results display sometimes counterintuitive effects. We find that whether these indicators increase/decrease after a change of income or energy expenditure largely depends on the specific country-wise income and energy expenditure distribution between households on a micro-level. Due to their definition, the examined indicators are especially sensitive, when income changes alter the indicator threshold values, which in these cases are the median values in underlying distributions. We discuss these findings and relate them to several indicator shortcomings and potential remedies through changes in indicator definition.

scholarly journals Just Transition as a Tool for Preventing Energy Poverty among Women in Mining Areas—A Case Study of the Silesia Region, Poland

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3372
Author(s):  
Olga Janikowska ◽  
Joanna Kulczycka
Keyword(s):  
Age Groups ◽  
Single Women ◽  
Coal Industry ◽  
Major Conclusion ◽  
Energy Transformation ◽  
Energy Poverty ◽  
Mining Areas ◽  
Transition Strategy ◽  
Mining Regions

The inevitable energy transformation can be perceived as an opportunity and as a threat to the actions undertaken to prevent energy poverty in European mining regions. Silesia is a special exemplification of the European region whose economy has been based on coal industry for centuries. There are still about 70,000 miners and coal is also widely used for heating households. Based on developed map of jobs lost in mining and related industry and the demographic and social data the proposal of activities addressed to different group of people has been created. It was also indicated that energy poverty in Poland mainly concerns households inhabited by single women. Therefore, the major conclusion of the paper is postulated that the Just Transition strategy should be extended by issues strictly related to the situation of women in the future labor market. Additionally, the concept of a special hub for women, whose aim would be professional activation of women of various age groups, has been introduced.

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