Publication detail

Modeling Residential Electricity Consumption from Public Demographic Data for Sustainable Cities

Ali, M., Prakash, K., Macana, C., Bashir, A.K., Jolfaei, A., Bokhari, A., Klemeš, J.J., Pota, H.

Original Title

Modeling Residential Electricity Consumption from Public Demographic Data for Sustainable Cities

Type

journal article in Web of Science

Language

English

Original Abstract

Demographic factors, statistical information, and technological innovation are prominent factors shaping energy transitions in the residential sector. Explaining these energy transitions re-quires combining insights from the disciplines investigating these factors. The existing literature is not consistent in identifying these factors, nor in proposing how they can be combined. In this paper, three contributions are made by combining the key demographic factors of households to estimate household energy consumption. Firstly, a mathematical formula is developed by considering the demographic determinants that influence energy consumption, such as the number of persons per household, median age, occupancy rate, households with children, and number of bedrooms per household. Secondly, a geographical position algorithm is proposed to identify the geographical locations of households. Thirdly, the derived formula is validated by collecting demographic factors of five statistical regions from local government databases, and then compared with the electricity consumption benchmarks provided by the energy regulators. The practical feasibility of the method is demonstrated by comparing the estimated energy consumption values with the electricity consumption benchmarks provided by energy regulators. The comparison results indicate that the error between the benchmark and estimated values for the five different regions is less than 8% (7.37%), proving the efficacy of this method in energy consumption estimation processes.

Keywords

demographic data; energy transitions; information management; residential sector; smart cities

Authors

Ali, M., Prakash, K., Macana, C., Bashir, A.K., Jolfaei, A., Bokhari, A., Klemeš, J.J., Pota, H.

Released

16. 3. 2022

Publisher

MDPI

ISBN

1996-1073

Periodical

ENERGIES

Year of study

6

Number

15

State

Swiss Confederation

Pages from

2163

Pages to

2163

Pages count

16

URL

https://www.mdpi.com/1996-1073/15/6/2163

BibTex

@article{BUT177548,
  author="Syed Awais Ali Shah {Bokhari} and Jiří {Klemeš}",
  title="Modeling Residential Electricity Consumption from Public Demographic Data for Sustainable Cities",
  journal="ENERGIES",
  year="2022",
  volume="6",
  number="15",
  pages="2163--2163",
  doi="10.3390/en15062163",
  issn="1996-1073",
  url="https://www.mdpi.com/1996-1073/15/6/2163"
}