Evaluation of the heating share of household electricity consumption using statistical analysis: a case study of Tirana, Albania

Albania’s residential sector represents a large share of the country’s energy consumption, especially of electric power. Other important characteristics of the sector include fast growing energy demand and a high level of energy losses, which challenge the possibility of sustainable development. A l...

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Main Authors: Flamur Bidaj, Ramadan Alushaj, Luela Prifti, Anna Chittum
Format: Article
Language:English
Published: Aalborg University Press 2015-06-01
Series:International Journal of Sustainable Energy Planning and Management
Subjects:
Online Access:https://journals.aau.dk/index.php/sepm/article/download/690/956
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spelling doaj-cb1f5e970d1f4022af515136419b100a2020-11-25T00:36:52ZengAalborg University PressInternational Journal of Sustainable Energy Planning and Management2246-29292246-29292015-06-01531410.5278/ijsepm.2015.5.2 Evaluation of the heating share of household electricity consumption using statistical analysis: a case study of Tirana, Albania Flamur BidajRamadan AlushajLuela PriftiAnna ChittumAlbania’s residential sector represents a large share of the country’s energy consumption, especially of electric power. Other important characteristics of the sector include fast growing energy demand and a high level of energy losses, which challenge the possibility of sustainable development. A large share of the electricity demand is used for heating purposes – a demand that could potentially be met in a more energy efficient manner. However, the precise portion of electricity used to meet heat needs is unknown. The main objective of this article is thus to determine the share of electricity used for heating in the largest Albanian city Based on a sample of households in Tirana, a statistical model is established and applied to perform a regression analysis to derive an estimation of household electricity demand. The heating share of the domestic electricity consumption is then quantified using additional information validated by actual measurements. The distribution of the electricity consumption data is better understood through an analysis of heat-related electricity consumption. Additionally, the monthly relative share of household electricity consumption reveals the number of households with electricity demand above the monthly 300kWh limit established by the Albanian Energy Regulatory Authority, which must be met in order to avoid triggering a higher electricity tariff. It is suggested that household electricity consumption will continue to grow in the near future, due to rising incomes and changing climatic conditions that are influencing the amount of heat used by Albanians, who rely primarily on electricity to heat their homes.https://journals.aau.dk/index.php/sepm/article/download/690/956Household energy consumptionregression analysisheating engery policy
collection DOAJ
language English
format Article
sources DOAJ
author Flamur Bidaj
Ramadan Alushaj
Luela Prifti
Anna Chittum
spellingShingle Flamur Bidaj
Ramadan Alushaj
Luela Prifti
Anna Chittum
Evaluation of the heating share of household electricity consumption using statistical analysis: a case study of Tirana, Albania
International Journal of Sustainable Energy Planning and Management
Household energy consumption
regression analysis
heating engery policy
author_facet Flamur Bidaj
Ramadan Alushaj
Luela Prifti
Anna Chittum
author_sort Flamur Bidaj
title Evaluation of the heating share of household electricity consumption using statistical analysis: a case study of Tirana, Albania
title_short Evaluation of the heating share of household electricity consumption using statistical analysis: a case study of Tirana, Albania
title_full Evaluation of the heating share of household electricity consumption using statistical analysis: a case study of Tirana, Albania
title_fullStr Evaluation of the heating share of household electricity consumption using statistical analysis: a case study of Tirana, Albania
title_full_unstemmed Evaluation of the heating share of household electricity consumption using statistical analysis: a case study of Tirana, Albania
title_sort evaluation of the heating share of household electricity consumption using statistical analysis: a case study of tirana, albania
publisher Aalborg University Press
series International Journal of Sustainable Energy Planning and Management
issn 2246-2929
2246-2929
publishDate 2015-06-01
description Albania’s residential sector represents a large share of the country’s energy consumption, especially of electric power. Other important characteristics of the sector include fast growing energy demand and a high level of energy losses, which challenge the possibility of sustainable development. A large share of the electricity demand is used for heating purposes – a demand that could potentially be met in a more energy efficient manner. However, the precise portion of electricity used to meet heat needs is unknown. The main objective of this article is thus to determine the share of electricity used for heating in the largest Albanian city Based on a sample of households in Tirana, a statistical model is established and applied to perform a regression analysis to derive an estimation of household electricity demand. The heating share of the domestic electricity consumption is then quantified using additional information validated by actual measurements. The distribution of the electricity consumption data is better understood through an analysis of heat-related electricity consumption. Additionally, the monthly relative share of household electricity consumption reveals the number of households with electricity demand above the monthly 300kWh limit established by the Albanian Energy Regulatory Authority, which must be met in order to avoid triggering a higher electricity tariff. It is suggested that household electricity consumption will continue to grow in the near future, due to rising incomes and changing climatic conditions that are influencing the amount of heat used by Albanians, who rely primarily on electricity to heat their homes.
topic Household energy consumption
regression analysis
heating engery policy
url https://journals.aau.dk/index.php/sepm/article/download/690/956
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