On the behavior of renewable energy systems in buildings of three Saudi cities: Winter variabilities and extremes are critical. (1st July 2023)
- Record Type:
- Journal Article
- Title:
- On the behavior of renewable energy systems in buildings of three Saudi cities: Winter variabilities and extremes are critical. (1st July 2023)
- Main Title:
- On the behavior of renewable energy systems in buildings of three Saudi cities: Winter variabilities and extremes are critical
- Authors:
- Souayfane, Farah
Lima, Ricardo M.
Dahrouj, Hayssam
Dasari, Hari Prasad
Hoteit, Ibrahim
Knio, Omar - Abstract:
- Abstract: Integration of renewable energy systems emerges as a key enabler for future low-carbon electricity supply. To maintain a secure and effective supply, the design and operation of these systems must carefully account for the influence of weather variability on the availability of renewable energy resources and on energy demand. This study examines the impact of weather variability on the optimal design and operation of renewable energy systems for office buildings in Saudi Arabia. The building electricity demand is supplied by a photovoltaic/wind/battery storage system, with an additional connection to the grid. The optimization process then aims at finding the optimal capacities of the renewable energy system components, so as to strike a trade-off between life cycle cost and CO 2 emissions by considering weather datasets with different levels of variability. The results show that accounting for the full weather variability, particularly the extreme weather events, leads to higher investment costs in fully renewable energy system, namely due to increased battery storage (up to 288%). Neglecting extreme events at the design stage, however, leads to a significant performance gap that could be compensated by grid integration, which adds to the overall CO 2 emissions, for a negligible change in the system cost. Such extreme weather events are then associated with cloudy and high temperatures days, the impact of which drives down the photovoltaic power output andAbstract: Integration of renewable energy systems emerges as a key enabler for future low-carbon electricity supply. To maintain a secure and effective supply, the design and operation of these systems must carefully account for the influence of weather variability on the availability of renewable energy resources and on energy demand. This study examines the impact of weather variability on the optimal design and operation of renewable energy systems for office buildings in Saudi Arabia. The building electricity demand is supplied by a photovoltaic/wind/battery storage system, with an additional connection to the grid. The optimization process then aims at finding the optimal capacities of the renewable energy system components, so as to strike a trade-off between life cycle cost and CO 2 emissions by considering weather datasets with different levels of variability. The results show that accounting for the full weather variability, particularly the extreme weather events, leads to higher investment costs in fully renewable energy system, namely due to increased battery storage (up to 288%). Neglecting extreme events at the design stage, however, leads to a significant performance gap that could be compensated by grid integration, which adds to the overall CO 2 emissions, for a negligible change in the system cost. Such extreme weather events are then associated with cloudy and high temperatures days, the impact of which drives down the photovoltaic power output and increases the demand for energy from the grid or from the storage. The study further examines the electricity price impacts on renewable energy system design and operation. With global weather variability challenges at the forefront, the paper findings draw insightful recommendations related to energy policy. Graphical abstract: Highlights: Impact of weather variability on renewable energy systems optimal design is examined. Multi-objective optimization is performed for buildings in three Saudi cities. Weather datasets exhibiting different levels of variability are considered. Winter extremes have a dominant impact on optimal storage capacities. Energy systems with a grid connection are less sensitive to weather extremes. … (more)
- Is Part Of:
- Journal of building engineering. Volume 70(2023)
- Journal:
- Journal of building engineering
- Issue:
- Volume 70(2023)
- Issue Display:
- Volume 70, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 70
- Issue:
- 2023
- Issue Sort Value:
- 2023-0070-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-07-01
- Subjects:
- Renewable energy systems -- Weather variability -- Extreme weather events -- Buildings
Building -- Periodicals
690.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/23527102 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.jobe.2023.106408 ↗
- Languages:
- English
- ISSNs:
- 2352-7102
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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