The Experts below are selected from a list of 14418 Experts worldwide ranked by ideXlab platform

Yonggang Zhu - One of the best experts on this subject based on the ideXlab platform.

  • evaluation of Photovoltaic Panel temperature in realistic scenarios
    Energy Conversion and Management, 2016
    Co-Authors: Christopher J Fell, Benjamin C Duck, Dong Chen, Kurt Liffman, Yinan Zhang, Yonggang Zhu
    Abstract:

    Abstract Photovoltaic (PV) Panel temperature was evaluated by developing theoretical models that are feasible to be used in realistic scenarios. Effects of solar irradiance, wind speed and ambient temperature on the PV Panel temperature were studied. The parametric study shows significant influence of solar irradiance and wind speed on the PV Panel temperature. With an increase of ambient temperature, the temperature rise of solar cells is reduced. The characteristics of Panel temperature in realistic scenarios were analyzed. In steady weather conditions, the thermal response time of a solar cell with a Si thickness of 100–500 μm is around 50–250 s. While in realistic scenarios, the Panel temperature variation in a day is different from that in steady weather conditions due to the effect of thermal hysteresis. The heating effect on the Photovoltaic efficiency was assessed based on real-time temperature measurement of solar cells in realistic weather conditions. For solar cells with a temperature coefficient in the range of −0.21%∼−0.50%, the current field tests indicated an approximate efficiency loss between 2.9% and 9.0%.

Antonio J. Marques Cardoso - One of the best experts on this subject based on the ideXlab platform.

  • Performance Evaluation of a Hybrid Thermal–Photovoltaic Panel
    IEEE Transactions on Industry Applications, 2017
    Co-Authors: Cristina Moscatiello, Chiara Boccaletti, A.n. Alcaso, Carlos A. Figueiredo Ramos, Antonio J. Marques Cardoso
    Abstract:

    A theoretical and experimental analysis of a thermal–Photovoltaic Panel, whose purpose is to produce both electrical and thermal energies, has been performed. In order to achieve the main objective, the different components that constitute the thermal–Photovoltaic Panel have been studied and a simulation model of the thermal–Photovoltaic Panel has been developed. Furthermore, a prototype of the whole system consisting of a commercial Panel, the thermal and electrical circuits, and an innovative wireless remote data acquisition system has been setup. The latter, based on an open-source electronic platform, has the necessary accuracy, and remote data capture and flexibility features. The model has been carefully calibrated and the simulated results, based on the solar irradiance, the ambient temperature, and the wind speed have been compared with experimental data. The results are analyzed and discussed in this paper. Such a validated model can be used to establish if and when it is more convenient to use a hybrid structure rather than two separate devices (Photovoltaic only and thermal collector only).

  • Performance evaluation of a hybrid thermal-Photovoltaic Panel
    2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016
    Co-Authors: Cristina Moscatiello, Chiara Boccaletti, A.n. Alcaso, Carlos A. Figueiredo Ramos, Antonio J. Marques Cardoso
    Abstract:

    A theoretical and experimental analysis of a thermal-Photovoltaic Panel, whose purpose is to produce both electrical and thermal energy, has been performed. In order to achieve the main objective, the different components that constitute the thermal-Photovoltaic Panel have been studied and a simulation model of the proposed thermal-Photovoltaic Panel has been developed; then, the simulated values, based on the solar irradiance, the ambient temperature and the wind speed, have been compared with experimental data. The results are analyzed and discussed in the paper. In particular, such a validated model can be used to establish if and when it is more convenient to use a hybrid structure rather than two separate devices (PV only and thermal collector only).

Cristina Moscatiello - One of the best experts on this subject based on the ideXlab platform.

  • Performance Evaluation of a Hybrid Thermal–Photovoltaic Panel
    IEEE Transactions on Industry Applications, 2017
    Co-Authors: Cristina Moscatiello, Chiara Boccaletti, A.n. Alcaso, Carlos A. Figueiredo Ramos, Antonio J. Marques Cardoso
    Abstract:

    A theoretical and experimental analysis of a thermal–Photovoltaic Panel, whose purpose is to produce both electrical and thermal energies, has been performed. In order to achieve the main objective, the different components that constitute the thermal–Photovoltaic Panel have been studied and a simulation model of the thermal–Photovoltaic Panel has been developed. Furthermore, a prototype of the whole system consisting of a commercial Panel, the thermal and electrical circuits, and an innovative wireless remote data acquisition system has been setup. The latter, based on an open-source electronic platform, has the necessary accuracy, and remote data capture and flexibility features. The model has been carefully calibrated and the simulated results, based on the solar irradiance, the ambient temperature, and the wind speed have been compared with experimental data. The results are analyzed and discussed in this paper. Such a validated model can be used to establish if and when it is more convenient to use a hybrid structure rather than two separate devices (Photovoltaic only and thermal collector only).

  • Performance evaluation of a hybrid thermal-Photovoltaic Panel
    2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016
    Co-Authors: Cristina Moscatiello, Chiara Boccaletti, A.n. Alcaso, Carlos A. Figueiredo Ramos, Antonio J. Marques Cardoso
    Abstract:

    A theoretical and experimental analysis of a thermal-Photovoltaic Panel, whose purpose is to produce both electrical and thermal energy, has been performed. In order to achieve the main objective, the different components that constitute the thermal-Photovoltaic Panel have been studied and a simulation model of the proposed thermal-Photovoltaic Panel has been developed; then, the simulated values, based on the solar irradiance, the ambient temperature and the wind speed, have been compared with experimental data. The results are analyzed and discussed in the paper. In particular, such a validated model can be used to establish if and when it is more convenient to use a hybrid structure rather than two separate devices (PV only and thermal collector only).

Mohsen Ben Ammar - One of the best experts on this subject based on the ideXlab platform.

  • Daily energy planning of a household Photovoltaic Panel
    Applied Energy, 2010
    Co-Authors: Mohsen Ben Ammar, Maher Chaabene, Ahmed Elhajjaji
    Abstract:

    This paper puts forward an energy planning approach which offers a daily optimum management of a household Photovoltaic Panel generation (PVG) without using storage equipment. The approach considers the PVG of the last 10Â days to estimate the one of the next day, using a Neuro-Fuzzy algorithm. The estimated PVG is planned according to the consumer's needs so as to use the maximum of the generated energy. The algorithm decides by means of fuzzy rules the connection times of appliances, having different powers, to the Photovoltaic Panel (PVP) output during the day. The decision is made on the basis of optimization criteria with respect to different user operation modes. The approach is validated on a 260Â Wp PVP and a set of four appliances of 30Â W, 40Â W, 60Â W and 75Â W. The system is installed at the National Engineering School, University of Sfax (ENIS) - Tunisia. The daily energetic assessment confirms that the PVG planning makes use of the estimated available energy in between 70% and 80%.

  • multi criteria fuzzy algorithm for energy management of a domestic Photovoltaic Panel
    Renewable Energy, 2008
    Co-Authors: Chokri Ben Salah, Maher Chaabene, Mohsen Ben Ammar
    Abstract:

    This paper presents a fuzzy algorithm which makes decision so as to connect domestic apparatus on either the electrical grid or a Photovoltaic Panel (PVP). The decision is made in real time with respect to multi-energy save criteria and upon the PVP maximum available power and apparatus states. The algorithm is validated on a 1kW peak (kWp) PVP and domicile apparatus of different powers installed at the Energy and Thermal Research Centre (CRTEn) in the north of Tunisia. Criteria are verified on the system behaviour during days covering the different seasons of the year. The power audit, established using measures, confirms that the energy save during daylight reaches 90% of the PVP available energy.

  • fuzzy approach for optimal energy management of a domestic Photovoltaic Panel
    Applied Energy, 2007
    Co-Authors: Maher Chaabene, Mohsen Ben Ammar, Ahmed Elhajjaji
    Abstract:

    This paper introduces a new switching means giving a real time optimum connection mode of domestic appliances on either the electrical grid or a Photovoltaic Panel (PVP) output. A fuzzy algorithm makes the decision which ensures the optimal energy-management based on PVP generation and appliances states with respect to energy-saving criteria. Validation is driven on a 1Â kW peak (kWp) PVP and domestic appliances of different powers installed at the Energy and Thermal Research Centre (CRTEn) in the north of Tunisia. Results confirm that energy saved during daylight is 80-90% of the PVP generated energy.

Maher Chaabene - One of the best experts on this subject based on the ideXlab platform.

  • dynamic model to follow the state of charge of a lead acid battery connected to Photovoltaic Panel
    Energy Conversion and Management, 2012
    Co-Authors: Dalia Fendri, Maher Chaabene
    Abstract:

    Abstract The State of charge ( SoC ) of a lead-acid battery is linearly proportional to its open circuit voltage, which cannot be measured because the battery is continuously connected to the system that integrates it. This paper proposes an approach for estimating the open circuit voltage as a function of parameters of the electrical equivalent model. This approach is based on the recursive algorithm of Kalman Filter to estimate the State of charge of a battery dynamically. We also developed a state representation of a battery. Simulation and experimental validation of the model have been applied to a ‘SLT210’ lead-acid battery connected to a Photovoltaic Panel. Good concordance between estimation and measurement results is shown over periodic discharge, random discharge and charge/discharge cycles.

  • Daily energy planning of a household Photovoltaic Panel
    Applied Energy, 2010
    Co-Authors: Mohsen Ben Ammar, Maher Chaabene, Ahmed Elhajjaji
    Abstract:

    This paper puts forward an energy planning approach which offers a daily optimum management of a household Photovoltaic Panel generation (PVG) without using storage equipment. The approach considers the PVG of the last 10Â days to estimate the one of the next day, using a Neuro-Fuzzy algorithm. The estimated PVG is planned according to the consumer's needs so as to use the maximum of the generated energy. The algorithm decides by means of fuzzy rules the connection times of appliances, having different powers, to the Photovoltaic Panel (PVP) output during the day. The decision is made on the basis of optimization criteria with respect to different user operation modes. The approach is validated on a 260Â Wp PVP and a set of four appliances of 30Â W, 40Â W, 60Â W and 75Â W. The system is installed at the National Engineering School, University of Sfax (ENIS) - Tunisia. The daily energetic assessment confirms that the PVG planning makes use of the estimated available energy in between 70% and 80%.

  • multi criteria fuzzy algorithm for energy management of a domestic Photovoltaic Panel
    Renewable Energy, 2008
    Co-Authors: Chokri Ben Salah, Maher Chaabene, Mohsen Ben Ammar
    Abstract:

    This paper presents a fuzzy algorithm which makes decision so as to connect domestic apparatus on either the electrical grid or a Photovoltaic Panel (PVP). The decision is made in real time with respect to multi-energy save criteria and upon the PVP maximum available power and apparatus states. The algorithm is validated on a 1kW peak (kWp) PVP and domicile apparatus of different powers installed at the Energy and Thermal Research Centre (CRTEn) in the north of Tunisia. Criteria are verified on the system behaviour during days covering the different seasons of the year. The power audit, established using measures, confirms that the energy save during daylight reaches 90% of the PVP available energy.

  • fuzzy approach for optimal energy management of a domestic Photovoltaic Panel
    Applied Energy, 2007
    Co-Authors: Maher Chaabene, Mohsen Ben Ammar, Ahmed Elhajjaji
    Abstract:

    This paper introduces a new switching means giving a real time optimum connection mode of domestic appliances on either the electrical grid or a Photovoltaic Panel (PVP) output. A fuzzy algorithm makes the decision which ensures the optimal energy-management based on PVP generation and appliances states with respect to energy-saving criteria. Validation is driven on a 1Â kW peak (kWp) PVP and domestic appliances of different powers installed at the Energy and Thermal Research Centre (CRTEn) in the north of Tunisia. Results confirm that energy saved during daylight is 80-90% of the PVP generated energy.