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Dr. Lefkothea Papada
National Technical Univercity of Athens, Athens, Greece

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0 Energy Analysis
0 Energy Management
0 Energy Policy
0 energy poverty vulnerability inequality
0 Energy poverty

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Journal article
Published: 18 March 2021 in Energies
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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.

ACS Style

Dimitris Damigos; Christina Kaliampakou; Anastasios Balaskas; Lefkothea Papada. Does Energy Poverty Affect Energy Efficiency Investment Decisions? First Evidence from a Stated Choice Experiment. Energies 2021, 14, 1698 .

AMA Style

Dimitris Damigos, Christina Kaliampakou, Anastasios Balaskas, Lefkothea Papada. Does Energy Poverty Affect Energy Efficiency Investment Decisions? First Evidence from a Stated Choice Experiment. Energies. 2021; 14 (6):1698.

Chicago/Turabian Style

Dimitris Damigos; Christina Kaliampakou; Anastasios Balaskas; Lefkothea Papada. 2021. "Does Energy Poverty Affect Energy Efficiency Investment Decisions? First Evidence from a Stated Choice Experiment." Energies 14, no. 6: 1698.

Journal article
Published: 10 March 2021 in Energies
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The experience of operating an energy-related Living Lab (LL) in mountainous Greece is presented in this paper in an attempt to explore the dynamics of such initiatives to address energy vulnerability. The LL is situated in Metsovo, which is a typical mountainous town of Greece with increased vulnerability issues identified in previous studies. Since Greek mountainous societies have proved to be particularly exposed to energy poverty, the LL aimed to function as an exemplary case on how to tackle energy poverty issues in mountainous regions, mainly through reducing energy consumption and improving energy efficiency. The methodological context was based on a holistic LL approach consisting of various activities, such as conduction of energy cafés, questionnaire surveys, home visits from Energy Advisors, installation of monitoring equipment, ICT tools and processing, etc. In particular, the LL consisted of three independent rounds, each of which involved 50 households, with 30 of them being equipped with monitoring tools. Energy advisors repeatedly visited households to collect information (on heating expenses, behavioral aspects, etc.) and offer household-specific advice on potential energy savings measures. Overall, the LL operation proved to have benefited most participants (76%), especially households with monitoring equipment, as 85.5% of the last ones already applied energy-efficiency measures and 80% made further plans for future investments. Through the particular LL example, apart from the benefits delivered to the local society, useful information can be provided to policy-makers toward addressing more effectively energy vulnerability in mountainous societies.

ACS Style

Lefkothea Papada; Anastasios Balaskas; Nikolas Katsoulakos; Dimitris Kaliampakos; Dimitris Damigos. Fighting Energy Poverty Using User-Driven Approaches in Mountainous Greece: Lessons Learnt from a Living Lab. Energies 2021, 14, 1525 .

AMA Style

Lefkothea Papada, Anastasios Balaskas, Nikolas Katsoulakos, Dimitris Kaliampakos, Dimitris Damigos. Fighting Energy Poverty Using User-Driven Approaches in Mountainous Greece: Lessons Learnt from a Living Lab. Energies. 2021; 14 (6):1525.

Chicago/Turabian Style

Lefkothea Papada; Anastasios Balaskas; Nikolas Katsoulakos; Dimitris Kaliampakos; Dimitris Damigos. 2021. "Fighting Energy Poverty Using User-Driven Approaches in Mountainous Greece: Lessons Learnt from a Living Lab." Energies 14, no. 6: 1525.

Journal article
Published: 16 July 2020 in Sustainability
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In many European countries, energy poverty is measured on the basis of real energy bills, as theoretical energy costs are hard to calculate. The UK is an exception—the data inputs for the Low Income-High Cost (LIHC) indicator are based on reasonable energy costs, these data are collected through specially designed surveys, often an intensive and costly procedure. Approaches which calculate energy needs are valid when energy bill data are unreliable or where households restrict consumption. In this analysis, energy poverty levels are evaluated for Greece, the municipality of Évora (Portugal), and the Basque Country (Spain): energy bills are modeled based on building energy performance data and other energy uses, and adjusted according to socio-demographic variables. To this end, equivalization weights are calculated using socio-economic data from the aforementioned southern European countries/regions. Data are analyzed to compare measurements with actual versus modeled bills using the Ten-Percent Rule (TPR) and Hidden Energy Poverty (HEP) against twice the median (2M) indicator, enhancing the identification of households with low energy consumption. In conclusion, theoretical energy needs can be combined with socio-demographic data instead of actual energy bills to measure energy poverty in a simplified way, avoiding the problem of targeting households that under consume.

ACS Style

Iñigo Antepara; Lefkothea Papada; João Pedro Gouveia; Nikolas Katsoulakos; Dimitris Kaliampakos. Improving Energy Poverty Measurement in Southern European Regions through Equivalization of Modeled Energy Costs. Sustainability 2020, 12, 5721 .

AMA Style

Iñigo Antepara, Lefkothea Papada, João Pedro Gouveia, Nikolas Katsoulakos, Dimitris Kaliampakos. Improving Energy Poverty Measurement in Southern European Regions through Equivalization of Modeled Energy Costs. Sustainability. 2020; 12 (14):5721.

Chicago/Turabian Style

Iñigo Antepara; Lefkothea Papada; João Pedro Gouveia; Nikolas Katsoulakos; Dimitris Kaliampakos. 2020. "Improving Energy Poverty Measurement in Southern European Regions through Equivalization of Modeled Energy Costs." Sustainability 12, no. 14: 5721.

Journal article
Published: 04 February 2020 in Energy Research & Social Science
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Energy poverty has been studied through different indices over time, focusing largely, among others, on the high energy cost of households. This paper sheds light on a rather neglected but crucial aspect of energy poverty, largely invisible in many of the existing indices: the aspect of compression of energy needs, i.e. the situation in which a household spends a small amount of money on energy, due to its inability to afford energy cost. With the development of a new index, the “Degree of Coverage of Energy Needs” (DCEN), which is expressed as the ratio of “Actual/Required energy cost” of a household, three important behavioral patterns are quantified: “compression of energy needs”, “satisfaction of energy needs” and “energy wastage”. The index was applied to two case studies: the country of Greece and the mountainous areas of Greece, a vulnerable population group with special characteristics. The outcomes were interesting: 45–51.5% of the two samples compress their energy needs, while 34.5–38% of them waste energy. Only a small proportion (14–17%) manages to adequately meet energy needs. The DCEN index introduces a different view of energy poverty, highlighting vital aspects of the problem that should be definitely taken into account by policy makers.

ACS Style

Lefkothea Papada; Dimitris Kaliampakos. Being forced to skimp on energy needs: A new look at energy poverty in Greece. Energy Research & Social Science 2020, 64, 101450 .

AMA Style

Lefkothea Papada, Dimitris Kaliampakos. Being forced to skimp on energy needs: A new look at energy poverty in Greece. Energy Research & Social Science. 2020; 64 ():101450.

Chicago/Turabian Style

Lefkothea Papada; Dimitris Kaliampakos. 2020. "Being forced to skimp on energy needs: A new look at energy poverty in Greece." Energy Research & Social Science 64, no. : 101450.

Journal article
Published: 01 December 2018 in Energy and Buildings
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Beyond the definition and measurement of energy poverty, which have mainly attracted research interest over the last decades, attention has recently begun to turn to a broader notion of energy vulnerability. So far, this has mostly been approached on a theoretical base, suggesting the incorporation of broader socio-economic aspects into the energy poverty framework. However, the quantitative measurement of energy vulnerability is still an unexplored field of research. In this paper, the “Vulnerability Index” is developed, which, based on stochastic analysis, quantifies the vulnerability of a population to the energy poverty ratio, compared to a reference population. Moreover, Sensitivity Analysis quantifies the particular contribution of various parameters to the problem, by determining their weighting factors. As case study, the vulnerability of Greek mountainous regions with respect to the country level was studied. The results showed that households living in mountainous regions are more vulnerable versus those of the whole country, at 89.7%. It was also found that energy policy should focus on raising incomes of mountainous population and, afterwards, on energy saving measures and reduction of heating cost in mountains. The methodology suggested can address social inequalities of vulnerable population groups, in terms of energy poverty.

ACS Style

Lefkothea Papada; Dimitris Kaliampakos. Development of vulnerability index for energy poverty. Energy and Buildings 2018, 183, 761 -771.

AMA Style

Lefkothea Papada, Dimitris Kaliampakos. Development of vulnerability index for energy poverty. Energy and Buildings. 2018; 183 ():761-771.

Chicago/Turabian Style

Lefkothea Papada; Dimitris Kaliampakos. 2018. "Development of vulnerability index for energy poverty." Energy and Buildings 183, no. : 761-771.

Article
Published: 18 June 2017 in Journal of Mountain Science
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The paper studied the energy poverty in the mountainous areas of Greece through parallel primary surveys, in comparison with the country-level conditions. The surveys are based on objective financial and expenditure data as well as on subjective views about housing conditions. The objective approach showed that mountainous areas of Greece are burdened with much higher energy expenditure while also having lower annual incomes. Under these circumstances, the energy poverty rate skyrocketed to 73.5%. The subjective indicators reveal significant aspects of the problem, such as the intense problem of damp walls and mold growth at home or the restriction of other basic needs in order to cover heating needs. However, despite the proven high vulnerability of Greek mountainous areas, current energy policy actually ignores the special features of mountainous areas, implementing horizontal policies. Therefore, a specialized energy plan targeted to alleviating energy poverty in mountainous areas in Greece is an urgent imperative.

ACS Style

Lefkothea Papada; Dimitris Kaliampakos. Energy poverty in Greek mountainous areas: a comparative study. Journal of Mountain Science 2017, 14, 1229 -1240.

AMA Style

Lefkothea Papada, Dimitris Kaliampakos. Energy poverty in Greek mountainous areas: a comparative study. Journal of Mountain Science. 2017; 14 (6):1229-1240.

Chicago/Turabian Style

Lefkothea Papada; Dimitris Kaliampakos. 2017. "Energy poverty in Greek mountainous areas: a comparative study." Journal of Mountain Science 14, no. 6: 1229-1240.

Conference paper
Published: 15 December 2015 in Transactions on Petri Nets and Other Models of Concurrency XV
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Despite their rich energy renewable potential, mountainous areas suffer from energy poverty. A viable solution seems to be the radical turn towards renewable resources. Any tailor-cut energy planning for mountainous areas presupposes the adequate estimation of the energy demand of buildings, which in this case is hindered by the lack of long-term meteorological data, especially in remote, high altitude areas. In this paper four case studies, namely Switzerland, Austria, Greece and north Italy, are examined, applying the method of degree-days. The scarcity of meteorological stations at higher altitudes has been overcome by calculating the lapse rates (decrease of surface temperature with altitude) for each case, which were found to vary from the common “rule” of 6.5°C/km. Based on these findings, the air temperatures of all remote, mountainous spots can be calculated, and, therefore, the estimation of the energy needs of buildings has been provided, with a high level of accuracy.

ACS Style

Lefkothea Papada; Dimitris Kaliampakos. Quantifying Energy Demand in Mountainous Areas. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 31 -43.

AMA Style

Lefkothea Papada, Dimitris Kaliampakos. Quantifying Energy Demand in Mountainous Areas. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; ():31-43.

Chicago/Turabian Style

Lefkothea Papada; Dimitris Kaliampakos. 2015. "Quantifying Energy Demand in Mountainous Areas." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 31-43.