Research Article
Regression Model for Predicting Water and Energy Demand: A Case Study of Addis Ababa City in 2050
@INPROCEEDINGS{10.1007/978-3-030-80618-7_4, author={Bedassa Dessalegn Kitessa and Semu Moges Ayalew and Geremew Sahilu Gebrie and Solomon Tesfamariam Teferi}, title={Regression Model for Predicting Water and Energy Demand: A Case Study of Addis Ababa City in 2050}, proceedings={Advances of Science and Technology. 8th EAI International Conference, ICAST 2020, Bahir Dar, Ethiopia, October 2-4, 2020, Proceedings, Part II}, proceedings_a={ICAST PART 2}, year={2021}, month={7}, keywords={Socio-economic Regression model Water-energy demand}, doi={10.1007/978-3-030-80618-7_4} }- Bedassa Dessalegn Kitessa
Semu Moges Ayalew
Geremew Sahilu Gebrie
Solomon Tesfamariam Teferi
Year: 2021
Regression Model for Predicting Water and Energy Demand: A Case Study of Addis Ababa City in 2050
ICAST PART 2
Springer
DOI: 10.1007/978-3-030-80618-7_4
Abstract
Water and energy are so versatile that play great role in fulfilling the daily requirements of human life. Having knowledge on the future water and energy demand of the world, country, region and even a single city/town helps for planning and establishing water and energy policies. A regression model was used to estimate the energy and water demand considering the socio-economic drivers as parameters. An average population growth rate of 5.2% and a GDP growth rate of 11% were used as base scenarios to predict the residential, commercial and industrial energy demands. Population and GDP per capita based scenario was used to predict the transport (street-lighting) energy demand. The total energy demand for residential, commercial, industrial sectors and street-lighting was around 50 and 190 Peta Joule in 2030 and 2050 respectively. Additional, the energy requirement for water distribution, transmission, and water treatment was determined. Similarly, this scenario was used to determine residential, commercial and industrial water demand. The total water demand was predicted to be 0.4 and 0.68 billion cubic meters in 2030 and 2050 respectively.
