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
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
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
AN - SCOPUS:85043571413
SN - 0959-6526
VL - 183
SP - 527
EP - 543
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -