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High-Resolution Household Load Profiling and Evaluation of Rooftop PV Systems in Selected Houses in Qatar

Author

Listed:
  • Omar Alrawi

    (Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University. Doha 34110, Qatar)

  • I. Safak Bayram

    (Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University. Doha 34110, Qatar
    Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Doha 34110, Qatar)

  • Sami G. Al-Ghamdi

    (Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University. Doha 34110, Qatar)

  • Muammer Koc

    (Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University. Doha 34110, Qatar)

Abstract

Even though Qatar’s per capita electricity consumption is one of the highest in the world, little is currently known about behind-the-meter power consumption. The residential sector is the largest consumer of electricity, accounting for approximately 59% of the overall consumption of electricity. As energy subsidies lead to budget deficits and overconsumption of carbon resources, there is a pressing need to examine the residential load profile to better understand consumption patterns and uncover potential solutions for more efficient usage. Residential load profiles are typically influenced by seasonal and socio-economic factors. Furthermore, household load profiles can be used to examine the viability of rooftop photovoltaic (PV) systems. In this study, a total of 10 houses in Qatar were chosen, and their power demand was monitored for over a year using smart energy monitors. This empirical research was conducted to achieve the following goals: (1) creation of the first high-resolution residential load profiles in Qatar and in the Gulf region; (2) analyses of the acquired load profiles and the determining factors that affect energy consumption; and (3) calculation of self-consumption values, analysis of the viability of household rooftop PV systems, and discussing potential use-cases for energy storage systems. Investigation of this topic is particularly important for Qatar as the country is adopting a sizable portion of PV systems (5% by 2021) and promotes sustainable energy options as a part of a national development strategy. Results show that there are significant differences between per-household and per-capita consumption due to factors such as electricity subsidies, household income and size, and air-conditioner type. Moreover, due to high electricity consumption, distributed energy storage units for bill management applications have limited applicability with current pricing tariffs. To the best of authors’ knowledge, this is the first study conducted in Qatar and in the Gulf region where a growing amount of interest is given to measure and improve building energy performance.

Suggested Citation

  • Omar Alrawi & I. Safak Bayram & Sami G. Al-Ghamdi & Muammer Koc, 2019. "High-Resolution Household Load Profiling and Evaluation of Rooftop PV Systems in Selected Houses in Qatar," Energies, MDPI, vol. 12(20), pages 1-25, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3876-:d:276080
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    References listed on IDEAS

    as
    1. Esa, Nur Farahin & Abdullah, Md Pauzi & Hassan, Mohammad Yusri, 2016. "A review disaggregation method in Non-intrusive Appliance Load Monitoring," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 163-173.
    2. Alasseri, Rajeev & Tripathi, Ashish & Joji Rao, T. & Sreekanth, K.J., 2017. "A review on implementation strategies for demand side management (DSM) in Kuwait through incentive-based demand response programs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 617-635.
    3. Bayram, Islam Safak & Ustun, Taha Selim, 2017. "A survey on behind the meter energy management systems in smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1208-1232.
    4. Vine, Edward L., 1996. "International DSM and DSM program evaluation: An indeep assessment," Energy, Elsevier, vol. 21(10), pages 983-996.
    5. Khalilpour, Kaveh Rajab & Vassallo, Anthony, 2016. "Technoeconomic parametric analysis of PV-battery systems," Renewable Energy, Elsevier, vol. 97(C), pages 757-768.
    6. Chen, Victor L. & Delmas, Magali A. & Kaiser, William J. & Locke, Stephen L., 2015. "What can we learn from high-frequency appliance-level energy metering? Results from a field experiment," Energy Policy, Elsevier, vol. 77(C), pages 164-175.
    7. Mohandes, Nassma & Sanfilippo, Antonio & Al Fakhri, Marwa, 2019. "Modeling residential adoption of solar energy in the Arabian Gulf Region," Renewable Energy, Elsevier, vol. 131(C), pages 381-389.
    8. Nyholm, Emil & Goop, Joel & Odenberger, Mikael & Johnsson, Filip, 2016. "Solar photovoltaic-battery systems in Swedish households – Self-consumption and self-sufficiency," Applied Energy, Elsevier, vol. 183(C), pages 148-159.
    9. Hosseini, Sayed Saeed & Agbossou, Kodjo & Kelouwani, Sousso & Cardenas, Alben, 2017. "Non-intrusive load monitoring through home energy management systems: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1266-1274.
    10. Dulleck, Uwe & Kaufmann, Sylvia, 2004. "Do customer information programs reduce household electricity demand?--the Irish program," Energy Policy, Elsevier, vol. 32(8), pages 1025-1032, June.
    11. Shin-ichi Inage, 2010. "Modelling Load Shifting Using Electric Vehicles in a Smart Grid Environment," IEA Energy Papers 2010/7, OECD Publishing.
    12. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    13. Al-Iriani, Mahmoud A., 2005. "Climate-related electricity demand-side management in oil-exporting countries--the case of the United Arab Emirates," Energy Policy, Elsevier, vol. 33(18), pages 2350-2360, December.
    14. Hoevenaars, Eric J. & Crawford, Curran A., 2012. "Implications of temporal resolution for modeling renewables-based power systems," Renewable Energy, Elsevier, vol. 41(C), pages 285-293.
    15. Martín-Pomares, Luis & Martínez, Diego & Polo, Jesús & Perez-Astudillo, Daniel & Bachour, Dunia & Sanfilippo, Antonio, 2017. "Analysis of the long-term solar potential for electricity generation in Qatar," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1231-1246.
    16. Cao, Sunliang & Sirén, Kai, 2014. "Impact of simulation time-resolution on the matching of PV production and household electric demand," Applied Energy, Elsevier, vol. 128(C), pages 192-208.
    17. Linssen, Jochen & Stenzel, Peter & Fleer, Johannes, 2017. "Techno-economic analysis of photovoltaic battery systems and the influence of different consumer load profiles," Applied Energy, Elsevier, vol. 185(P2), pages 2019-2025.
    18. Quoilin, Sylvain & Kavvadias, Konstantinos & Mercier, Arnaud & Pappone, Irene & Zucker, Andreas, 2016. "Quantifying self-consumption linked to solar home battery systems: Statistical analysis and economic assessment," Applied Energy, Elsevier, vol. 182(C), pages 58-67.
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    Cited by:

    1. Troy Malatesta & Gregory M. Morrison & Jessica K. Breadsell & Christine Eon, 2023. "A Systematic Literature Review of the Interplay between Renewable Energy Systems and Occupant Practices," Sustainability, MDPI, vol. 15(12), pages 1-27, June.
    2. Nasser Alqahtani & Nazmiye Balta-Ozkan, 2021. "Assessment of Rooftop Solar Power Generation to Meet Residential Loads in the City of Neom, Saudi Arabia," Energies, MDPI, vol. 14(13), pages 1-21, June.
    3. Omar Alrawi & Islam Safak Bayram & Muammer Koc & Sami G. Al-Ghamdi, 2022. "Economic Viability of Rooftop Photovoltaic Systems and Energy Storage Systems in Qatar," Energies, MDPI, vol. 15(9), pages 1-21, April.
    4. Natália Gava Gastaldo & Graciele Rediske & Paula Donaduzzi Rigo & Carmen Brum Rosa & Leandro Michels & Julio Cezar Mairesse Siluk, 2019. "What is the Profile of the Investor in Household Solar Photovoltaic Energy Systems?," Energies, MDPI, vol. 12(23), pages 1-18, November.
    5. Ayed Banibaqash & Ziad Hunaiti & Maysam Abbod, 2022. "An Analytical Feasibility Study for Solar Panel Installation in Qatar Based on Generated to Consumed Electrical Energy Indicator," Energies, MDPI, vol. 15(24), pages 1-16, December.
    6. Sofiane Kichou & Nikolaos Skandalos & Petr Wolf, 2020. "Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data," Energies, MDPI, vol. 13(11), pages 1-20, May.
    7. Francesco Pietro Colelli & Enrica De Cian & Wilmer Pasut & Lucia Piazza, 2023. "Toward Net Zero in the midst of the energy and climate crises: the response of residential photovoltaic systems," Working Papers 2023:18, Department of Economics, University of Venice "Ca' Foscari".
    8. Slawomir Gulkowski, 2022. "Specific Yield Analysis of the Rooftop PV Systems Located in South-Eastern Poland," Energies, MDPI, vol. 15(10), pages 1-20, May.

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