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Optimizing the Artificial Lighting in a Smart and Green Glass Building-integrated Semi-Transparent Photovoltaics: A Multifaceted Case Study in Egypt
Open accessAbstract
Numerous increases in CO2 emissions are recognizable nowadays. Consequently, building integrated photovoltaics (BIPV) glows up as a trendy future solution. BIPVs are introduced by substituting one of the building components with a green energy harvesting source seeking for sustainability. Herein, we propose a BIPV techno-economic feasibility by utilizing in-Lab fabricated semi-transparent solar cells as a glass interface. Three alternatives have been taken into consideration with proposing on-roof Photovoltaic (PV) system (alternative #1) and semi-transparent solar cells working as glass interfaces (alternative #2) while keeping the governmental grid as a reference alternative (alternative #3). Daylight simulations and electric lighting loads optimization are investigated showing an overall energy budget per alternative. An optimum alternative with an overall excess energy of around 88 MWh as annual energy production was reached, while satisfying 100% of the targeted electrical loads. Levelized cost of energy (LCOE) is demonstrated as an economic parameter to evaluate the three proposed alternatives.
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The size of light intensity can use simulation with tools.
“The size of light intensity can use simulation with tools.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Ahmed et al. [93]
There are several ways to measure LEDs.
“Ahmed et al. [93] say that there are several ways to measure LEDs.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Ahmed et al. [93]
Measurements to calculate the energy consumption of LEDs can occur for one year.
“Measurements to calculate the energy consumption of LEDs can occur for one year.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Ahmed et al. [93]
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Research works printed but not linked: 35
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Cited by
Sorted by citations
Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey
Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2022) · IEEE Access · doi:10.1109/access.2022.3169765 · Cited by 101
“Ahmed et al. [93] say that there are several ways to measure LEDs.”
Background
Metadata
- Authors
- Ahmed, M. O., Madkor, A. K., Makeen, P., Betelmal, S. E. I., Hassan, M. M., Abdelsamee, M. M., Ayman, A., El-Adly, M. H., Nessim, A., & Abdullatif, S. O.
- Affiliations
- FabLab in the Center for Emerging Learning Technologies (CELT) Faculty of Engineering The British University in Egypt (BUE) El-Sherouk 11837, Cairo, Egypt
- British University in Egypt (EG)
- Venue
- WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT
- Published
- 2021-02-02
- Volume
- 17
- Pages
- 118-127
- ISSN
- 1790-5079 (ISSN-L)
- 2224-3496
- OpenAlex
- W3128101977
- Cited by
- 12
- References
- 0
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 1 · 2022: 4 · 2021: 5
- FWCI
- 1.26
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT (publishedVersion)
- Funders
- Science and Technology Development Fund (33502)
- British University in Egypt
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Solar Thermal and Photovoltaic Systems
- Physical Sciences › Engineering › Building and Construction › Solar Energy Systems and Technologies
- Keywords
- building-integrated photovoltaics, semitransparent solar cells, smart glasses, daylighting simulation, techno-economic feasibility, levelized cost of electricity, grid-connected photovoltaic systems, excess energy, CO2 emission reduction, sustainable construction, Egypt
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