Generation, analysis, and applications of high resolution electricity load profiles in Qatar

Islam Safak Bayram, Faraj Saffouri, Muammer Koc

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Qatar is known to be one of the most energy-intensive countries in the world, yet very little is known about its electricity consumption patterns. In this paper, we unfold the electricity sector in Qatar by presenting high-resolution electricity load profiles, analyzing the unique consumption patterns, and with case studies, showing how load profiles can be used in applications such as demand-side management, renewable energy integration, and mathematical modeling. Moreover, using load profiles, we propose a methodology to estimate the cooling demand which represents the largest portion of the domestic demand. The data used in this study is collected from the official website of the Gulf Cooperation Council Interconnection Authority (GCCIA), validated by the available public datasets, and span a 12 month period from February 2016 to January 2017. The present paper contains the first high-resolution dataset in the GCC region and the results will shed light into future research studies.

LanguageEnglish
Pages527-543
Number of pages17
JournalJournal of Cleaner Production
Volume183
Early online date15 Feb 2018
DOIs
Publication statusPublished - 10 May 2018

Fingerprint

electricity
Electricity
demand-side management
energy
cooling
methodology
Websites
modeling
Cooling
consumption pattern
demand
analysis
Qatar
Consumption patterns
co-operation
electricity consumption
gulf
world
public
Demand side management

Keywords

  • demand side management
  • duck curve
  • electricity load profiles
  • estimation of cooling load

Cite this

@article{431d055626ed447dab57f8c972cb04a3,
title = "Generation, analysis, and applications of high resolution electricity load profiles in Qatar",
abstract = "Qatar is known to be one of the most energy-intensive countries in the world, yet very little is known about its electricity consumption patterns. In this paper, we unfold the electricity sector in Qatar by presenting high-resolution electricity load profiles, analyzing the unique consumption patterns, and with case studies, showing how load profiles can be used in applications such as demand-side management, renewable energy integration, and mathematical modeling. Moreover, using load profiles, we propose a methodology to estimate the cooling demand which represents the largest portion of the domestic demand. The data used in this study is collected from the official website of the Gulf Cooperation Council Interconnection Authority (GCCIA), validated by the available public datasets, and span a 12 month period from February 2016 to January 2017. The present paper contains the first high-resolution dataset in the GCC region and the results will shed light into future research studies.",
keywords = "demand side management, duck curve, electricity load profiles, estimation of cooling load",
author = "Bayram, {Islam Safak} and Faraj Saffouri and Muammer Koc",
year = "2018",
month = "5",
day = "10",
doi = "10.1016/j.jclepro.2018.02.084",
language = "English",
volume = "183",
pages = "527--543",
journal = "Journal of Cleaner Production",
issn = "0959-6526",

}

Generation, analysis, and applications of high resolution electricity load profiles in Qatar. / Bayram, Islam Safak; Saffouri, Faraj; Koc, Muammer.

In: Journal of Cleaner Production, Vol. 183, 10.05.2018, p. 527-543.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Generation, analysis, and applications of high resolution electricity load profiles in Qatar

AU - Bayram, Islam Safak

AU - Saffouri, Faraj

AU - Koc, Muammer

PY - 2018/5/10

Y1 - 2018/5/10

N2 - Qatar is known to be one of the most energy-intensive countries in the world, yet very little is known about its electricity consumption patterns. In this paper, we unfold the electricity sector in Qatar by presenting high-resolution electricity load profiles, analyzing the unique consumption patterns, and with case studies, showing how load profiles can be used in applications such as demand-side management, renewable energy integration, and mathematical modeling. Moreover, using load profiles, we propose a methodology to estimate the cooling demand which represents the largest portion of the domestic demand. The data used in this study is collected from the official website of the Gulf Cooperation Council Interconnection Authority (GCCIA), validated by the available public datasets, and span a 12 month period from February 2016 to January 2017. The present paper contains the first high-resolution dataset in the GCC region and the results will shed light into future research studies.

AB - Qatar is known to be one of the most energy-intensive countries in the world, yet very little is known about its electricity consumption patterns. In this paper, we unfold the electricity sector in Qatar by presenting high-resolution electricity load profiles, analyzing the unique consumption patterns, and with case studies, showing how load profiles can be used in applications such as demand-side management, renewable energy integration, and mathematical modeling. Moreover, using load profiles, we propose a methodology to estimate the cooling demand which represents the largest portion of the domestic demand. The data used in this study is collected from the official website of the Gulf Cooperation Council Interconnection Authority (GCCIA), validated by the available public datasets, and span a 12 month period from February 2016 to January 2017. The present paper contains the first high-resolution dataset in the GCC region and the results will shed light into future research studies.

KW - demand side management

KW - duck curve

KW - electricity load profiles

KW - estimation of cooling load

UR - http://www.scopus.com/inward/record.url?scp=85043571413&partnerID=8YFLogxK

U2 - 10.1016/j.jclepro.2018.02.084

DO - 10.1016/j.jclepro.2018.02.084

M3 - Article

VL - 183

SP - 527

EP - 543

JO - Journal of Cleaner Production

T2 - Journal of Cleaner Production

JF - Journal of Cleaner Production

SN - 0959-6526

ER -