building integrated photovoltaics
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2022 ◽  
Vol 309 ◽  
pp. 118476
Author(s):  
W.M. Pabasara Upalakshi Wijeratne ◽  
Tharushi Imalka Samarasinghalage ◽  
Rebecca Jing Yang ◽  
Ron Wakefield

Solar RRL ◽  
2022 ◽  
Author(s):  
Helge Eggers ◽  
Saba Gharibzadeh ◽  
Stefan Koch ◽  
Fabian Schackmar ◽  
David Ritzer ◽  
...  

Author(s):  
Jiancang Chen ◽  
Haiguang Zhao ◽  
Zhilin Li ◽  
Xiujian Zhao ◽  
Xiao Gong

Luminescent solar concentrators (LSCs) have been widely considered to be promising large-scale sunlight collectors for photovoltaics (PV) due to their low cost and applicability to building-integrated photovoltaics (BIPV). However, low...


Clean Energy ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 799-806
Author(s):  
Jian Cui ◽  
Jianjun Fang

Abstract To solve the problem of permanent-shadow shading of photovoltaic buildings, a maximum power point tracking (MPPT) strategy to determine the search range by pre-delimiting area is proposed to improve MPPT efficiency. The single correspondence between the solar-cell current–voltage (I–V) curve and the illumination conditions was proved by using the single-diode model of photovoltaic cells, thus proving that a change in the illumination conditions corresponds to a unique maximum power point (MPP) search area. According to the approximate relationship between MPP voltage, current and open-circuit voltage and short-circuit current of a photovoltaic module, the voltage region where the MPP is located is determined and the global maximum power point is determined using the power operating triangle strategy in this region. Simulation carried out in MATLAB proves the correctness and feasibility of the theoretical research. Simulation results show that the MPPT strategy proposed in this paper can improve the average efficiency by 1.125% when applied in series as building integrated photovoltaics.


2021 ◽  
Vol 2 (4) ◽  
pp. 545-552
Author(s):  
Yujian Sun ◽  
Yongcao Zhang ◽  
Yuxin Li ◽  
Yilin Li

Luminescent solar concentrators (LSCs) are considered promising in their application as building-integrated photovoltaics (BIPVs). However, they suffer from low performance, especially in large-area devices. One of the key issues is the self-absorption of the luminophores. In this report, we focus on the study of self-absorption in perovskite-based LSCs. Perovskite nanocrystals (NCs) are emerging luminophores for LSCs. Studying the self-absorption of perovskite NCs is beneficial to understanding fundamental photon transport properties in perovskite-based LSCs. We analyzed and quantified self-absorption properties of perovskite NCs in an LSC with the dimensions of 6 in × 6 in × 1/4 in (152.4 mm × 152.4 mm × 6.35 mm) using three approaches (i.e., limited illumination, laser excitation, and regional measurements). The results showed that a significant number of self-absorption events occurred within a distance of 2 in (50.8 mm), and the photo surface escape due to the repeated self-absorption was the dominant energy loss mechanism.


Optics ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 259-265
Author(s):  
Yujian Sun ◽  
Yongcao Zhang ◽  
Yilin Li

Luminescent solar concentrators (LSCs) have been widely studied for their potential application as building-integrated photovoltaics (BIPV). While numerous efforts have been made to improve the performance, the photothermal (PT) properties of LSCs are rarely investigated. In this report, we studied the PT properties of an LSC with a power conversion efficiency (PCE) of 3.27% and a concentration ratio of 1.42. The results showed that the total PT power of the LSC was 13.2 W, and the heat was concentrated on the edge of the luminescent waveguide with a high heat power density of over 200 W m−2.


2021 ◽  
Vol 2042 (1) ◽  
pp. 012096
Author(s):  
Christoph Waibel ◽  
Shanshan Hsieh ◽  
Arno Schlüter

Abstract This paper demonstrates the impact of demand response (DR) on optimal multi-energy systems (MES) design with building integrated photovoltaics (BIPV) on roofs and façades. Building loads and solar potentials are assessed using bottom-up models; the MES design is determined using a Mixed-Integer Linear Programming model (energy hub). A mixed-use district of 170,000 m2 floor area including office, residential, retail, education, etc. is studied under current and future climate conditions in Switzerland and Singapore. Our findings are consistent with previous studies, which indicate that DR generally leads to smaller system capacities due to peak shaving. We further show that in both the Swiss and Singapore context, cost and emissions of the MES can be reduced significantly with DR. Applying DR, the optimal area for BIPV placement increases only marginally for Singapore (~1%), whereas for Switzerland, the area is even reduced by 2-8%, depending on the carbon target. In conclusion, depending on the context, DR can have a noticeable impact on optimal MES and BIPV capacities and should thus be considered in the design of future, energy efficient districts.


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