Modeling and assessing BIPV envelopes using parametric Rhinoceros plugins Grasshopper and Ladybug

Freitas, Jader de Sousa; Cronemberger, Joára; Soares, Raí Mariano; Amorim, Cláudia Naves David

doi:10.1016/j.renene.2020.05.137

Cited by 103 publications

(42 citation statements)

References 34 publications

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“…It should be considered that BIPVs are increasingly used [22], despite the presence of the photovoltaic system on the façade, representing the less effective alternative to rooftop solar PV due to the difference in radiation between the horizontal and vertical surfaces [26]. To improve the performance of these systems, it is useful to adopt adaptive approaches and therefore link them to the "intelligence" of the components of the envelope (Freitas et al, 2020). Using this kind of solution, it is possible to modify the photovoltaics' orientation through solar localization mechanisms, combining the advantages of integrated solar monitoring aimed at producing energy with adaptive shading and thus obtaining considerable reductions in thermal loads [6].…”

Section: State Of the Artmentioning

confidence: 99%

“…Therefore, the façade brings the ability to add new functions, such as new solutions to reduce energy costs [12] or improve the production of renewable energy [1,[3][4][5][6][7][8][9][10][11][13][14][15][16][17][18][19][20][21][22][23][24][25]. In this way, the façade has been transformed into a very complex system, surpassing the traditional concepts.…”

Section: Introductionmentioning

confidence: 99%

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SLICE: An Innovative Photovoltaic Solution for Adaptive Envelope Prototyping and Testing in a Relevant Environment

et al. 2021

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The development of adaptive architectural envelopes is one of the goals of researchers that aim to improve the energy performance of buildings. Traditional devices often have drawbacks linked to the complexity of the kinetic systems used, as the mechanical systems for guaranteeing proper operation are complex and expensive (e.g., hinges). Adaptive envelopes require energy for driving the mechanical components and management systems. Thus, it is useful for such adaptive elements to be self-sufficient, generating the energy necessary for their functioning. This study presents a prototype of a lightweight and stand-alone component for dynamic envelopes, characterized by a flexible composite material integrated with high-efficiency photovoltaic cells called the Solar Lightweight Intelligent Component for Envelopes (SLICE). The management and control of the SLICE is based on the Arduino platform. This paper describes the multidisciplinary design process that led to the realization of the current prototypes, the laboratory test phases, as well as the results of the preliminary experiments carried out under real environmental conditions.

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Section: State Of the Artmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SLICE: An Innovative Photovoltaic Solution for Adaptive Envelope Prototyping and Testing in a Relevant Environment

et al. 2021

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“…10 of 20 DGI values are interpreted based on the descriptive scale. The five thresholds in the scale define six states of daylight glare: non-perceptible (below 16), perceptible (16)(17)(18)(19)(20), acceptable (20)(21)(22), slightly uncomfortable (22)(23)(24), uncomfortable (24-28), and intolerable (over 28) [33]. When DGI is below the borderline between comfort and discomfort at 22, the daylight glare is considered acceptable.…”

Section: Development Of the Pv Device And The Scale Modelmentioning

confidence: 99%

“…Few studies focus on the BIPV configured as an adjustable shading device. BIPVs have been investigated in many aspects: modeling and design methods [18][19][20], performance [21], application of semi-transparent solar cells integrated on windows [22,23], etc. Shading device control has also been widely studied, with a main focus on energy efficiency and occupant comfort [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Control Methods for PV-Integrated Shading Devices

Jung¹,

Kim

Moon

2020

Energies

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This study aimed to develop a building-integrated photovoltaic (BIPV) device and optimal control methods that increase the photovoltaic (PV) efficiency and visual comfort of the indoor space. A louver-type PV-integrated shading device was suggested and an artificial neural networks (ANN) model was developed to predict PV electricity output, work plane illuminance, and daylight glare index (DGI). The slat tilt angle of the shading device was controlled to maximize PV electricity output based on three different strategies: one without visual comfort constraints, and the other two with visual comfort constraints: work plane illuminance and DGI. Optimal tilt angle was calculated using predictions of the ANN. Experiments were conducted to verify the system modeling and to evaluate the performance of the shading device. Experiment results revealed that the ANN model successfully predicted the PV output, work plane illuminance, and DGI. The PV-integrated shading device was more efficient in producing electricity than the conventional wall-mount PV systems, the control method without visual comfort constraints was most efficient in generating electricity than the other two with such constraints, and excluding the constraints resulted in less comfortable visual environment and reduced energy benefit. From the results analysis, it can be concluded that based on the accurate predictions, the PV-integrated shading device controlled using the proposed methods produced more electricity compared to the wall-mount counterpart.

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“…The proposed platform was used to measure the energy relationships in an industrial assembly project in Shiraz (Iran). Freitas et al [55] proposed an algorithm for estimating solar energy capture for photovoltaic projects in the city of Brasilia (Brazil). Massafra et al [56] studied the behavior of wooden structures of various heritage projects in Bologna (Italy) through 3D surface scanning.…”

Section: Introductionmentioning

confidence: 99%

BIM Visual Programming Tools Applications in Infrastructure Projects: A State-of-the-Art Review

et al. 2021

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The Building Information Modeling (BIM) methodology improves architectural and infrastructure projects by digitizing their processes throughout their life cycle stages, such as design, construction, management, monitoring, and operation. In recent years, the automation of these processes has been favored by the use of visual programming (VP) tools that have replaced conventional programming languages for visual schemes. The use of these tools in architectural projects is becoming increasing popular. However, this is not the case in infrastructure projects, for which the use of VP algorithms remains scarce. The aim of this work is to encourage both scholars and engineers to implement VP tools in infrastructure projects. For this purpose, this work reviews, for the first time in the literature, the state-of-the-art and future research trends of VP tools in infrastructure projects.

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Modeling and assessing BIPV envelopes using parametric Rhinoceros plugins Grasshopper and Ladybug

Cited by 103 publications

References 34 publications

SLICE: An Innovative Photovoltaic Solution for Adaptive Envelope Prototyping and Testing in a Relevant Environment

SLICE: An Innovative Photovoltaic Solution for Adaptive Envelope Prototyping and Testing in a Relevant Environment

Performance Evaluation of Control Methods for PV-Integrated Shading Devices

BIM Visual Programming Tools Applications in Infrastructure Projects: A State-of-the-Art Review

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