Evaluation of the heating share of household electricity consumption using statistical analysis: a case study of Tirana, Albania
Main Article Content
Abstract
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.
Article Details
Articles published in International Journal of Sustainable Energy Planning and Management are following the license Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License: Attribution - NonCommercial - NoDerivs (by-nc-nd). Further information about Creative Commons
Authors can archive post-print (final draft post-refereering) on personal websites or institutional repositories under these conditions:
- Publishers version cannot be stored elsewhere but on publishers homepage
- Published source must be acknowledged
- Must link to publisher version