Intelligent windows for electricity generation: A technologies review

Salas Castillo, Manlio Salas; Liu, Xiao; Abd-AlHamid, Fedaa; Connelly, Karen; Wu, Yupeng

Abstract

Buildings are responsible for over 40% of total primary energy consumption in the US and EU and therefore improving building energy efficiency has significant potential for obtaining net-zero energy buildings reducing energy consumption. The concurrent demands of environmental comfort and the need to improve energy efficiency for both new and existing buildings have motivated research into finding solutions for the regulation of incoming solar radiation, as well as ensuring occupant thermal and visual comfort whilst generating energy onsite. Windows as building components offer the opportunity of addressing these issues in buildings. Building integration of photovoltaics permits building components such as semi-transparent façade, skylights and shading devices to be replaced with PV. Much progress has been made in photovoltaic material science, where smart window development has evolved in areas such as semi-transparent PV, electrochromic and thermochromic materials, luminescent solar concentrator and the integration of each of the latter technologies to buildings, specifically windows. This paper presents a review on intelligent window technologies that integrate renewable energy technologies with energy-saving strategies contributing potential solutions towards sustainable zero-energy buildings. This review is a comprehensive evaluation of intelligent windows focusing on state-of-the-art development in windows that can generate electricity and their electrical, thermal and optical characteristics. This review provides a summary of current work in intelligent window design for energy generation and gives recommendations for further research opportunities.

Citation

Salas Castillo, M. S., Liu, X., Abd-AlHamid, F., Connelly, K., & Wu, Y. (2022). Intelligent windows for electricity generation: A technologies review. Building Simulation, 15(10), 1747-1773. https://doi.org/10.1007/s12273-022-0895-y

• Journal Article Type: Review
• Acceptance Date: Mar 2, 2022
• Online Publication Date: Mar 29, 2022
• Publication Date: 2022-10
• Deposit Date: Mar 11, 2022
• Publicly Available Date: Mar 30, 2023
• Journal: Building Simulation
• Print ISSN: 1996-3599
• Electronic ISSN: 1996-8744
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 15
• Issue: 10
• Pages: 1747-1773
• DOI: https://doi.org/10.1007/s12273-022-0895-y
• Keywords: Intelligent window; Electricity generation; Photovoltaic; Building Integrated PV; Solar concentrator; Electricity-generating smart window
• Public URL: https://nottingham-repository.worktribe.com/output/7571528
• Publisher URL: https://link.springer.com/article/10.1007/s12273-022-0895-y