Cd
C.K. de Mooij
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2 records found
1
Journal article
(2024)
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Juan Camilo Ortiz Lizcano, Hesan Ziar, Cas de Mooij, Mario P.F. Verheijen, Chris van Nierop Sanchez, Davide Ferlito, Carmelo Connelli, Andrea Canino, Miro Zeman, Olindo Isabella
This work is a long-term, interannual, and experimental study conducted in multiple locations. It studies the effects of phase change materials (PCMs) on photovoltaic modules’ performance by reducing their operational temperature. Two PV modules were manufactured so that PCM slabs could be mechanically attached to their backside, ensuring contact with the related photovoltaic active area. Experiments were conducted in Delft, Netherlands, from 2019 until 2021 and in Catania, Italy, during the winter and start of spring of 2023. The experiment also considered two installation layouts: building integrated (Delft) and standard rack-mounted (Catania). The measurements showed that the PCM provides significant cooling under both locations, with a temperature reduction of up to 15 °C. In Delft, thermal control could be obtained for most of the sunny hours of the day, even during the summer months. In Catania, the module with PCM presented, on occasion, higher temperatures than its standard counterpart, primarily due to winter-time environmental conditions. However, the PCM provided sufficient thermal control on all conditions, ensuring increased energy yield. This increase ranged from 2.1 to 2.5 % in Delft and 1.3–1.6 % in Italy.
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This work is a long-term, interannual, and experimental study conducted in multiple locations. It studies the effects of phase change materials (PCMs) on photovoltaic modules’ performance by reducing their operational temperature. Two PV modules were manufactured so that PCM slabs could be mechanically attached to their backside, ensuring contact with the related photovoltaic active area. Experiments were conducted in Delft, Netherlands, from 2019 until 2021 and in Catania, Italy, during the winter and start of spring of 2023. The experiment also considered two installation layouts: building integrated (Delft) and standard rack-mounted (Catania). The measurements showed that the PCM provides significant cooling under both locations, with a temperature reduction of up to 15 °C. In Delft, thermal control could be obtained for most of the sunny hours of the day, even during the summer months. In Catania, the module with PCM presented, on occasion, higher temperatures than its standard counterpart, primarily due to winter-time environmental conditions. However, the PCM provided sufficient thermal control on all conditions, ensuring increased energy yield. This increase ranged from 2.1 to 2.5 % in Delft and 1.3–1.6 % in Italy.
As the world is trying to rely less on fossil fuels for electrical energy. To do this, the alternatives should be as efficient and durable as possible. The alternative that has been growing the fastest in recent years is solar energy. Apart from it’s growth in the market share, the efficiency of photovoltaic (PV) cells has also steadily grown. Recently, this trend has started to stagnate, since most avenues of efficiency improvement have been exhausted. However, the possibilities of thermal management (i.e. cooling) of PV cells are relatively unexplored. An increase in cell temperature causes a decrease in efficiency, in other words, less sunlight is converted into electrical energy. Moreover, high operating temperatures cause damage in solar cells, reducing their lifetime by months (or even years). One promising technology that can keep cell temperatures low is the Phase Change Material (PCM) based heat sink. A PCM takes a lot of energy to melt and during phase change it remains at a stable temperature. PV + PCM systems have shown to be able to increase cell efficiency by up to 8%. In order to get a better grip on the workings and the potential of PCMs as a heat sink for PV cells, this work presents an implicit, transient, spectrally resolved, MATLABbased model that can simulate module temperature and phase change within the PCM. The model uses SMARTS in combination with irradiance data to create spectral irradiance data. Using this spectral data together with GenPro4 provides the amount of energy absorbed by each layer of the PV cell. The PV part of the model is validated for a summer week in the Netherlands, with a Mean Absolute Error (MAE) of 1.83 and a Mean Bias Error (MBE) of 0.56. For a winter week in January the MAE was 1.76 and the MBE 1.44. When simulating only a PV module (so no PV + PCM system), the model can simulate 45 hours of data per hour, with one minute time step. When validating the PV + PCM model for the same weeks, the MAE was 2.96 and the MBE 1.91 for the summer week and a MAE of 1.37 and MBE of 1.15 for the winter week. When simulating a PV + PCM system the simulation time drops to 18 hours of simulated data per hour, due to a larger mesh and the requirement of several iterations in the PCM model. With this model a wide range of PV + PCM systems (e.g. with different thicknesses and melting temperatures) can be simulated for any location, provided that there is access to the following weather data: temperature, wind speed and irradiance.
...
As the world is trying to rely less on fossil fuels for electrical energy. To do this, the alternatives should be as efficient and durable as possible. The alternative that has been growing the fastest in recent years is solar energy. Apart from it’s growth in the market share, the efficiency of photovoltaic (PV) cells has also steadily grown. Recently, this trend has started to stagnate, since most avenues of efficiency improvement have been exhausted. However, the possibilities of thermal management (i.e. cooling) of PV cells are relatively unexplored. An increase in cell temperature causes a decrease in efficiency, in other words, less sunlight is converted into electrical energy. Moreover, high operating temperatures cause damage in solar cells, reducing their lifetime by months (or even years). One promising technology that can keep cell temperatures low is the Phase Change Material (PCM) based heat sink. A PCM takes a lot of energy to melt and during phase change it remains at a stable temperature. PV + PCM systems have shown to be able to increase cell efficiency by up to 8%. In order to get a better grip on the workings and the potential of PCMs as a heat sink for PV cells, this work presents an implicit, transient, spectrally resolved, MATLABbased model that can simulate module temperature and phase change within the PCM. The model uses SMARTS in combination with irradiance data to create spectral irradiance data. Using this spectral data together with GenPro4 provides the amount of energy absorbed by each layer of the PV cell. The PV part of the model is validated for a summer week in the Netherlands, with a Mean Absolute Error (MAE) of 1.83 and a Mean Bias Error (MBE) of 0.56. For a winter week in January the MAE was 1.76 and the MBE 1.44. When simulating only a PV module (so no PV + PCM system), the model can simulate 45 hours of data per hour, with one minute time step. When validating the PV + PCM model for the same weeks, the MAE was 2.96 and the MBE 1.91 for the summer week and a MAE of 1.37 and MBE of 1.15 for the winter week. When simulating a PV + PCM system the simulation time drops to 18 hours of simulated data per hour, due to a larger mesh and the requirement of several iterations in the PCM model. With this model a wide range of PV + PCM systems (e.g. with different thicknesses and melting temperatures) can be simulated for any location, provided that there is access to the following weather data: temperature, wind speed and irradiance.