Quantifying the influence of colors on the performance of c-Si photovoltaic devices

Peharz, Gerhard; Ulm, Andreas

doi:10.1016/j.renene.2018.05.068

Cited by 25 publications

(24 citation statements)

References 27 publications

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“…transform process. Moreover, the power spectrum analysis method was used for comparison and analysis [30]. e power spectrum analysis method is a widely used analysis method in many areas including biosignals.…”

Section: System Configuration and Designmentioning

confidence: 99%

Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles

Kim

2020

Journal of Advanced Transportation

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All persons in self-driving vehicle would like to receive each service. To do it, the system has to know the person’s state from emotion or stress, and to know the person’s state, it has to catch by analyzing the person’s bio-information. In this paper, we propose a system for inferring emotion using EEG, pulse, blood pressure (systolic and diastolic blood pressure) of user, and recommending color and music according to emotional state of user for a user service in self-driving vehicle. The proposed system is designed to classify the four emotional information (stability, relaxation, tension, and excitement) by using EEG data to infer and classify emotional state according to user’s stress. SVM algorithm was used to classify bio information according to stress index using brain wave data of the fuzzy control system, pulse, and blood pressure data. When 80% of data were learned according to the ratio of training data by using the SVM algorithm to classify the EEG, blood pressure, and pulse rate databased on the biometric emotion information, the highest performance of 86.1% was shown. The bio-information classification system based on the stress index proposed in this paper will help to study the interaction between human and computer (HCI) in the 4th Industrial Revolution by classifying emotional color and emotional sound according to the emotion of the user it is expected.

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Section: System Configuration and Designmentioning

confidence: 99%

Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles

Kim

2020

Journal of Advanced Transportation

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“…The integration of solar cells into coloured modules could results in losses in the irradiance reaching the solar cell within the module, since the colours and materials used in the glass modification have an impact on glass transmittance and light spectrum reaching the underlying cells. Some studies investigated the influence that coloured layers could have in the energy performance of c-Si PV modules, with both theoretical and experimental analyses [44,45]. One main result of these studies is that usually the theoretical colour-related power losses are lower than the actual ones, due to undesired reflections in the near infrared spectrum (NIR, wavelengths > 780 nm) that could appear.…”

Section: Indoor Testing Of Bipv Technologies: First Resultsmentioning

confidence: 99%

“…Some theoretical studies, focusing mainly on monochromatic colours, were conducted to define the relations between the modules' colour and their power losses. The research highlighted a rather low level of power loss ranging between 7% and 10% [45]. However, BIPV applications imply a wider colour range and the finishing layer could present textures, uneven surfaces, fouling and time-related performance decay.…”

Section: Existing Technologies For Hidden Coloured Pv Modulesmentioning

confidence: 96%

“…Although the manifold customisation options offer several aesthetical advantages, the modification of the front glass leads to changes in the optical behaviour of the glass sheet, which could reflect or absorb a portion of the solar spectrum that would otherwise reach the PV cells where it would be used to produce electricity. Hence, the main challenge to be faced in the production of such modules consists in seeking the optimal trade-off between aesthetic and energy efficiency [44,45].…”

Section: Printed Coated or Alternative Finished Front Glassmentioning

confidence: 99%

“…As emerged in H2020 Project PV IMPACT [60], BIPV stakeholders workshops, there is an urgent need by architects and designers to acquire more knowledge on coloured modules, to better understand the current possibilities on the market (as provided in Table 1) and to gather information on their performance and reliability. Although a broad literature exists on the theoretical relationship between colour and efficiency/power generation [44,45], there is a lack of information on the real final performance of coloured modules due to the fragmented techniques used by different PV modules producers. In fact, during the module assembling and the lamination process, the colour could change significantly compared to the initial components colour, obtaining different aesthetical solutions in the final product.…”

Section: Experimental Characterisation Of Bipv Technologiesmentioning

confidence: 99%

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Coloured BIPV Technologies: Methodological and Experimental Assessment for Architecturally Sensitive Areas

et al. 2020

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Energy flexibility in buildings is gaining momentum with the introduction of new European directives that enable buildings to manage their own energy demand and production, by storing, consuming or selling electricity according to their need. The transition towards a low-carbon energy system, through the promotion of on-site energy production and enhancement of self-consumption, can be supported by building-integrated photovoltaics (BIPV) technologies. This paper investigates the aesthetic and technological integration of hidden coloured PV modules in architecturally sensitive areas that seem to be the best possibility to favour a balance between conservation and energy issues. First, a multidisciplinary methodology for evaluating the aesthetic and technical integration of PV systems in architecturally sensitive area is proposed, referring to the technologies available on the market. Second, the experimental characterisation of the technical performance specific BIPV modules and their comparison with standard modules under standard weather condition are analysed, with the aim of acquiring useful data for comparing the modules’ integration properties and performance. For this purpose, new testbeds have been set up to investigate the aesthetic integration and the energy performances of innovative BIPV products. The paper describes the analyses carried out to define the final configuration of these experimental testbeds. Finally, the experimental characterisation at standard test conditions of two coloured BIPV modules is presented and the experimental design for the outdoor testing is outlined.

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Transparent and Colored Solar Photovoltaics for Building Integration

Yang

et al. 2021

Solar RRL

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Building‐integrated photovoltaics (BIPVs) stand as a promising solution to provide renewable electricity for achieving zero‐energy buildings, although still hindered from large‐scale implementations due to the difficulty of traditional photovoltaic modules in meeting the standards and aesthetics of architectural materials. The emergence of new photovoltaic materials and devices could pave the way for the future through offering diversity and tunability in colors and transparency along with comparable performance. Herein the recent advances in BIPVs are discussed, starting from an overview of various photovoltaic technologies regarding their material characteristics, state of the art, and adaptability to the built environment. The transparent and colored photovoltaic technologies are then respectively emphasized, concerning design principles, theoretical analysis, technical routes, and corresponding demonstration studies. The various strategies, including the materials and structures adopted to modify the transparency and color of solar cells, are highlighted. Finally, the challenges and future perspectives are addressed, followed by an outlook on factors that are critical for large‐scale implementation of BIPVs in the future.

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Quantifying the influence of colors on the performance of c-Si photovoltaic devices

Cited by 25 publications

References 27 publications

Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles

Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles

Coloured BIPV Technologies: Methodological and Experimental Assessment for Architecturally Sensitive Areas

Transparent and Colored Solar Photovoltaics for Building Integration

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