Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries

Susan M. Kotikot; Christine Ajinjeru; Adewale Odukomaiya; Olufemi A. Omitaomu

doi:10.1109/PowerAfrica.2018.8521122

Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries

Susan M. Kotikot, Christine Ajinjeru, Adewale Odukomaiya, Olufemi A. Omitaomu

Computational Urban Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Access to reliable and affordable energy is the backbone of advanced economies all over the world. Such an access is limited in Sub-Saharan African countries such as Uganda, Kenya, Nigeria, and South Africa due to lack of inadequate energy generation infrastructure. Infrastructure planning for energy generation requires accurate estimations of potential energy demand profiles. Such demand profiles are lacking in many developing countries all over the world. This paper presents a geospatial framework for estimating household electricity demand that could inform infrastructure-planning tools. This is an extension of our initial effort to estimate household electricity demand for Uganda. This paper presents power demand estimates for four African countries - South Africa, Nigeria, Kenya, and Uganda. Electricity demand estimates are generated using three (low, average, and high) appliance usage profiles. The analyses indicate a deficit of about 22,630 MW (South Africa), 20,213 MW (Nigeria), 4,153 MW (Kenya), and 2,508 MW (Uganda) compared to the current installed capacity for the high usage profile scenario.

Original language	English
Title of host publication	2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	613-618
Number of pages	6
ISBN (Electronic)	9781538641637
DOIs	https://doi.org/10.1109/PowerAfrica.2018.8521122
State	Published - Nov 2 2018
Event	2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018 - Cape Town, South Africa Duration: Jun 26 2018 → Jun 29 2018

Publication series

Name	2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018

Conference

Conference	2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018
Country/Territory	South Africa
City	Cape Town
Period	06/26/18 → 06/29/18

Funding

This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. Accordingly, the United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

Keywords

Infrastructure planning
Kenya
Nigeria
South Africa
Uganda
load forecast
stable power supply

Access to Document

10.1109/PowerAfrica.2018.8521122

Cite this

Kotikot, S. M., Ajinjeru, C., Odukomaiya, A., & Omitaomu, O. A. (2018). Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries. In 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018 (pp. 613-618). Article 8521122 (2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PowerAfrica.2018.8521122

Kotikot, Susan M. ; Ajinjeru, Christine ; Odukomaiya, Adewale et al. / Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries. 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 613-618 (2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018).

@inproceedings{e5fca7d078c1453ba7652294010ee722,

title = "Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries",

abstract = "Access to reliable and affordable energy is the backbone of advanced economies all over the world. Such an access is limited in Sub-Saharan African countries such as Uganda, Kenya, Nigeria, and South Africa due to lack of inadequate energy generation infrastructure. Infrastructure planning for energy generation requires accurate estimations of potential energy demand profiles. Such demand profiles are lacking in many developing countries all over the world. This paper presents a geospatial framework for estimating household electricity demand that could inform infrastructure-planning tools. This is an extension of our initial effort to estimate household electricity demand for Uganda. This paper presents power demand estimates for four African countries - South Africa, Nigeria, Kenya, and Uganda. Electricity demand estimates are generated using three (low, average, and high) appliance usage profiles. The analyses indicate a deficit of about 22,630 MW (South Africa), 20,213 MW (Nigeria), 4,153 MW (Kenya), and 2,508 MW (Uganda) compared to the current installed capacity for the high usage profile scenario.",

keywords = "Infrastructure planning, Kenya, Nigeria, South Africa, Uganda, load forecast, stable power supply",

author = "Kotikot, {Susan M.} and Christine Ajinjeru and Adewale Odukomaiya and Omitaomu, {Olufemi A.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018 ; Conference date: 26-06-2018 Through 29-06-2018",

year = "2018",

month = nov,

day = "2",

doi = "10.1109/PowerAfrica.2018.8521122",

language = "English",

series = "2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "613--618",

booktitle = "2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018",

}

Kotikot, SM, Ajinjeru, C, Odukomaiya, A & Omitaomu, OA 2018, Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries. in 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018., 8521122, 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018, Institute of Electrical and Electronics Engineers Inc., pp. 613-618, 2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018, Cape Town, South Africa, 06/26/18. https://doi.org/10.1109/PowerAfrica.2018.8521122

Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries. / Kotikot, Susan M.; Ajinjeru, Christine; Odukomaiya, Adewale et al.
2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 613-618 8521122 (2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries

AU - Kotikot, Susan M.

AU - Ajinjeru, Christine

AU - Odukomaiya, Adewale

AU - Omitaomu, Olufemi A.

PY - 2018/11/2

Y1 - 2018/11/2

N2 - Access to reliable and affordable energy is the backbone of advanced economies all over the world. Such an access is limited in Sub-Saharan African countries such as Uganda, Kenya, Nigeria, and South Africa due to lack of inadequate energy generation infrastructure. Infrastructure planning for energy generation requires accurate estimations of potential energy demand profiles. Such demand profiles are lacking in many developing countries all over the world. This paper presents a geospatial framework for estimating household electricity demand that could inform infrastructure-planning tools. This is an extension of our initial effort to estimate household electricity demand for Uganda. This paper presents power demand estimates for four African countries - South Africa, Nigeria, Kenya, and Uganda. Electricity demand estimates are generated using three (low, average, and high) appliance usage profiles. The analyses indicate a deficit of about 22,630 MW (South Africa), 20,213 MW (Nigeria), 4,153 MW (Kenya), and 2,508 MW (Uganda) compared to the current installed capacity for the high usage profile scenario.

AB - Access to reliable and affordable energy is the backbone of advanced economies all over the world. Such an access is limited in Sub-Saharan African countries such as Uganda, Kenya, Nigeria, and South Africa due to lack of inadequate energy generation infrastructure. Infrastructure planning for energy generation requires accurate estimations of potential energy demand profiles. Such demand profiles are lacking in many developing countries all over the world. This paper presents a geospatial framework for estimating household electricity demand that could inform infrastructure-planning tools. This is an extension of our initial effort to estimate household electricity demand for Uganda. This paper presents power demand estimates for four African countries - South Africa, Nigeria, Kenya, and Uganda. Electricity demand estimates are generated using three (low, average, and high) appliance usage profiles. The analyses indicate a deficit of about 22,630 MW (South Africa), 20,213 MW (Nigeria), 4,153 MW (Kenya), and 2,508 MW (Uganda) compared to the current installed capacity for the high usage profile scenario.

KW - Infrastructure planning

KW - Kenya

KW - Nigeria

KW - South Africa

KW - Uganda

KW - load forecast

KW - stable power supply

UR - http://www.scopus.com/inward/record.url?scp=85057803063&partnerID=8YFLogxK

U2 - 10.1109/PowerAfrica.2018.8521122

DO - 10.1109/PowerAfrica.2018.8521122

M3 - Conference contribution

AN - SCOPUS:85057803063

T3 - 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018

SP - 613

EP - 618

BT - 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018

Y2 - 26 June 2018 through 29 June 2018

ER -

Kotikot SM, Ajinjeru C, Odukomaiya A, Omitaomu OA. Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries. In 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 613-618. 8521122. (2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018). doi: 10.1109/PowerAfrica.2018.8521122

Geospatial Framework for Estimating Household Electricity Demand for Urban Infrastructure Planning in Select African Countries

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this