The determinants of residential energy expenditure in Italy

Besagni, Giorgio; Borgarello, Marco

doi:10.1016/j.energy.2018.09.108

Cited by 90 publications

(52 citation statements)

References 39 publications

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“…This study particularly points out the need for a more precise characterisation of the occupant behaviour. This characterisation could be inspired by methods developed in studies on the determinants of energy consumptions of the household sector [56][57][58][59]. Moreover, future buildings will be built with some connected objects, such as thermostats or CO 2 sensors.…”

Section: Resultsmentioning

confidence: 99%

Uncertainty and sensitivity analyses applied to a dynamic simulation of the carbon dioxide concentration in a detached house

Bouvier

Bontemps

Mora

2018

Int J Energy Environ Eng

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This paper aims to study the variability of indoor CO 2 concentration due to occupant behaviour and physical parameter uncertainties. A case study, conducted in a mechanically ventilated detached house, is presented with an uncertainty and sensitivity analysis (Monte Carlo method with a Latin hypercube sampling). Uncertainties related to occupant behaviour are described by combining four types of scenarios: occupation, generation of CO 2 per person, indoor doors, and outdoor windows' openings. The uncertainty analysis showed that despite an acceptable average room CO 2 concentration, large variations, due to input parameter uncertainties, are observed in CO 2 instantaneous concentrations. Moreover, during occupied periods, average value is relatively important (higher than 1300 ppm). Occupants spent around 30% of the time at CO 2 concentrations over 1500 ppm. Large output uncertainties are reached on the cumulative CO 2 concentration and time fraction spent over 1500 ppm. The sensitivity analysis highlights the strong influence of the parameters related to bedrooms (number of occupants, night generation of CO 2) and of the kitchen extracted airflow rate. It also shows that low-level air change rates in bedrooms are mainly caused by an incorrect air distribution in the building. Potential solutions to reduce both concentrations and uncertainties are discussed.

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Section: Resultsmentioning

confidence: 99%

Uncertainty and sensitivity analyses applied to a dynamic simulation of the carbon dioxide concentration in a detached house

Bouvier

Bontemps

Mora

2018

Int J Energy Environ Eng

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“…Effective demand-side management strategy design for the residential sector depends on proper identification of factors that are responsible for driving electricity demand at houses. A large and growing body of literature has investigated different household factors such as building characteristics, socio-demographic characteristics and found relationship in driving residential electricity demand [115][116][117][118][119][120][121]. For example, Brounen et al (2012) found that electricity consumption at houses varies predominantly due to family composition and income of the household [117].…”

Section: Factors Responsible For Residential Demandmentioning

confidence: 99%

Energy-saving behaviour as a demand-side management strategy in the developing world: the case of Bangladesh

Khan

2019

Int J Energy Environ Eng

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Although demand-side management (DSM) needs to be more customer centred, either with or without smart technologies (e.g. smart grid), less attention has been paid to the developing world in relation to DSM strategy development. The main reasons have been lack of appropriate technology and capital costs. Importantly, there are alternative DSM strategies that require minimum or no cost to implement and provide immediate results, of which energy-saving behaviour of the occupants at residences is one. This study explores the potentiality of this energy-saving behaviour as a DSM strategy for the least developed economies, focusing particularly on Bangladesh. The literature suggests that energy-saving behaviour could reduce energy demand by a maximum of 21.9%. However, this potential DSM scheme seems underestimated in the national DSM programme of Bangladesh. The Energy Efficiency and Conservation Master Plan (EECMP) of Bangladesh (a DSM program) shows that efficiency improvement in the use of home appliances could reduce electricity demand in the residential sector by about 28.8%, but this does require a long time to be implemented, whereas the inclusion of energy-saving behaviour as a demand response strategy in residences along with the EECMP might achieve demand reduction of up to 50.7%. Although the findings from this study are specific to Bangladesh, these could be useful guidelines for the policymakers of other developing nations where national DSM strategy development is underway.

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“…The data were collected from 15,015 households, in 502 different municipalities; for each household, more than 1264 variables are available concerning socio-demographic information, dwelling characteristics, appliances, and monthly expenditures. In our previous studies [24,25], different statistical methods have been used to determine the relationship between the energy expenditure and the household variables. In particular, it was found that building variables are significant determinants in defining the thermal energy expenditures/consumptions; on the other hand, socio-economic variables are significant determinants with respect to the electrical energy expenditures.…”

Section: Dataset and Household Segmentationmentioning

confidence: 99%

“…In particular, it was found that building variables are significant determinants in defining the thermal energy expenditures/consumptions; on the other hand, socio-economic variables are significant determinants with respect to the electrical energy expenditures. Subsequently, a segmentation of the Italian families has been obtained to study the energy consumption patterns in Italy, by using a segmentation-tree approach (see the outcomes of [24]).…”

Section: Dataset and Household Segmentationmentioning

confidence: 99%

“…It is important to observe that this study only relates to the use of energy for heating purposes, according to the typical research framework on fuel poverty. Different indicators are applied to the nationally-representative survey, the "Household Budget Survey" [23], and the results are presented from an aggregated point of view, by using the segmentation of the Italian households, proposed by Besagni et al [24], which takes into account the socio-demographic dimensions of fuel poverty [25]. It should be noted that the proposed assessment of fuel poverty scales up the "household scale" to consider the whole "country scale", by using the nationally-representative survey.…”

Section: Introductionmentioning

confidence: 99%

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Measuring Fuel Poverty in Italy: A Comparison between Different Indicators

Besagni

Borgarello

2019

Sustainability

Self Cite

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Fuel poverty is a cutting-edge topic in the broader framework of the human dimensions of energy use. Fuel poverty research activities couple the demand side with the supply side and scale up the “household scale” towards the “country scale”. This paper contributes to the present-day discussion regarding suitable indicators to quantify the incidence of fuel poverty and, in particular, it considers an Italian case study. The Italian case is peculiar, in terms of climatic conditions (encompassing a very broad range of conditions), dwelling types (in terms of construction periods and urban areas), and the many socio-demographic dimensions present. So far, a comprehensive assessment of fuel poverty in Italy is elusive and, to cover this gap in knowledge, this paper proposes a comparison between different types of indicators. To this end, different indicators taken from the literature have been considered and a novel indicator, based on the “minimum thermal comfort” constraint, has been further developed. All the proposed measures of fuel poverty have been applied to the “Household Budget Survey” (reference year: 2015) and the results have been coupled with a segmentation of Italian households, previously proposed by the authors. Using this method, the “household scale” has been scaled up to consider the whole “country scale”, in the process of identifying vulnerable households. The obtained results are of practical importance and provide a rational basis for policy-makers when planning strategies to tackle the incidence of fuel poverty in Italy.

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The determinants of residential energy expenditure in Italy

Cited by 90 publications

References 39 publications

Uncertainty and sensitivity analyses applied to a dynamic simulation of the carbon dioxide concentration in a detached house

Uncertainty and sensitivity analyses applied to a dynamic simulation of the carbon dioxide concentration in a detached house

Energy-saving behaviour as a demand-side management strategy in the developing world: the case of Bangladesh

Measuring Fuel Poverty in Italy: A Comparison between Different Indicators

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