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38th European Photovoltaic Solar Energy Conference and Exhibition; 1529-1531, The increase in energy consumption in homes has never been as intense as in the last decade. The international alarm has resulted in various plans and strategies. This research supports the implementation of Building Integrated Photovoltaics (BIPV) which produce energy at a lower cost to the environment than traditional fuel. Also, it generates energy where it is needed, so its implementation preserves the planet's health. This research proposes a model to predict vertical PV production from vertical solar irradiation and ambient temperature measures. The predictor is an Artificial Neural Network (ANN), trained using the Levenberg-Marquardt algorithm. The research tested and compared several architectures to obtain the most accurate ANN. The one chosen was an artificial neural network with a single hidden layer. Its entry has two neurons, ambient temperature and global vertical irradiation (RaGV). This research shows that ambient Temperature and RaGV are enough to estimate BIPV production, being RaGV the most relevant variable. The introduction as input of the model of the ambient temperature increased its performance. The obtained model has good statistical results and allows to estimate the PV production of commercial panels.

37th European Photovoltaic Solar Energy Conference and Exhibition; 1964-1967, The new European directives focused to achieve public Net-Zero Energy Buildings require for their application the knowledge of the potential of photovoltaics (PV) generation of these buildings. The available building surfaces (façades and roofs) for PV integration depend on the building’s location and orientation, and relative position of the nearby buildings and elements. This work developed a technical procedure to determine the available surface for PV integration, the economic and energetic viability of the PV facilities, and their contribution of the energy consumption of the buildings through a case study. The current design has a potential benefit of 0,17 million of euros. Its greenhouse gas emissions are 0.27–0.92 Ton, ten times smaller than a production obtained through the traditional fuels (6–8.47 Ton), which are commonly used in Spain.

37th European Photovoltaic Solar Energy Conference and Exhibition; 1163-1167, A comparison of 14 different PV and PV/T panel designs, where the implementation of PCM and different types of thermal insulators is analysed. All the studies have been performed by CFD simulations in both steady state and transient in both 2D and 3D. All the results obtained are evaluated with respect to a conventional PV panel. In the study, the capacity of thermal generation as well as electricity are analysed separately in each design. The PV performance is calculated based on the panel surface temperature, while thermal energy generation is evaluated analysing the heat flux into the PCM, PCM liquid fraction, the temperature profile in the panel and fluid inlet outlet temperatures. Some designs show temperatures than can produce that the panel get broke. Therefore, especial care must be taken with the thermal insulator installed in the panel. In those panels that have PCM have a temperature stratification in the PCM that can reduce the photovoltaic efficiency. This limitation can be fix by the encapsulation of the PCM, to prevent from convection flows along the panel.