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Mohammad Hassan Shahverdian is a researcher specializing in the mathematical and theoretical thermal analyses of photovoltaic systems and their integration to cooling mechanisms.
Solar irradiation in hot-arid climatic countries results in increased temperatures, which is one of the major factors affecting the power generation efficiency of monocrystalline photovoltaic (PV) systems, posing performance and degradation challenges. In this paper, the efficiency of a water-flow cooling system to increase the output of a monocrystalline PV module with a rated capacity of 80 W is studied from both energy and exergy perspectives. The energy and exergy tests are performed for each season of the year, with and without cooling. The energy and exergy efficiencies, as well as the commodity exergy values, are used to compare the photovoltaic device with and without cooling. The findings are based on the experimental data that were collected in Tehran, Iran as an investigated case study in a country with a hot-arid climate. The findings show that when water-flow cooling is used, the values of the three efficiency metrics change significantly. In various seasons, improvements in regular average energy efficiency vary from 7.3% to 12.4%. Furthermore, the achieved increase in exergy efficiency is in the 13.0% to 19.6% range. Using water flow cooling also results in a 12.1% to 18.4% rise in product exergy.
Ali Sohani; Mohammad Shahverdian; Hoseyn Sayyaadi; Siamak Hoseinzadeh; Saim Memon; Giuseppe Piras; Davide Astiaso Garcia. Energy and Exergy Analyses on Seasonal Comparative Evaluation of Water Flow Cooling for Improving the Performance of Monocrystalline PV Module in Hot-Arid Climate. Sustainability 2021, 13, 6084 .
AMA StyleAli Sohani, Mohammad Shahverdian, Hoseyn Sayyaadi, Siamak Hoseinzadeh, Saim Memon, Giuseppe Piras, Davide Astiaso Garcia. Energy and Exergy Analyses on Seasonal Comparative Evaluation of Water Flow Cooling for Improving the Performance of Monocrystalline PV Module in Hot-Arid Climate. Sustainability. 2021; 13 (11):6084.
Chicago/Turabian StyleAli Sohani; Mohammad Shahverdian; Hoseyn Sayyaadi; Siamak Hoseinzadeh; Saim Memon; Giuseppe Piras; Davide Astiaso Garcia. 2021. "Energy and Exergy Analyses on Seasonal Comparative Evaluation of Water Flow Cooling for Improving the Performance of Monocrystalline PV Module in Hot-Arid Climate." Sustainability 13, no. 11: 6084.
Water flow cooling is taken into account as one of the clean and efficient ways to reduce the working temperature and enhance the performance of a photovoltaic solar module, since water, as the working fluid, is an environmentally friendly material and has a high heat capacity to absorb heat at the same time. Considering this point, a 50 W poly and a 50 W mono crystalline solar modules, with almost the same dimensions are considered, and the performance of the water flow cooling system when it is applied for them is evaluated and compared together in details. The evaluation is done by considering the amount of the enhancement in power and efficiency, as the two main energy criteria of a module compared to the no cooling condition, in addition to the water consumption. The investigation is done using a developed mathematical model, which is validated for both with and without cooling conditions by the recorded experimental data. According to the results, the produced power and efficiency of both modules are improved significantly when water flow cooling is utilized, while the enhancement for mono type is higher. Moreover, based on the discussion done, the best trade-off between energy and water consumption performance for both modules and all the meteorological parameters is achieved when water flow rate is around 0.01 kg s−1, and it could be introduced as the “optimum” value of water flow rate for the studied poly and mono crystalline modules. For the standard test condition, adjusting water flow rate to the optimum value leads to 13.7 W and 14.8 W increase in the generated power of poly and mono crystalline modules, while the corresponding values for the efficiency are 3.8% and 4.2%, respectively.
Mohammad Hassan Shahverdian; Ali Sohani; Hoseyn Sayyaadi. Water-energy nexus performance investigation of water flow cooling as a clean way to enhance the productivity of solar photovoltaic modules. Journal of Cleaner Production 2021, 312, 127641 .
AMA StyleMohammad Hassan Shahverdian, Ali Sohani, Hoseyn Sayyaadi. Water-energy nexus performance investigation of water flow cooling as a clean way to enhance the productivity of solar photovoltaic modules. Journal of Cleaner Production. 2021; 312 ():127641.
Chicago/Turabian StyleMohammad Hassan Shahverdian; Ali Sohani; Hoseyn Sayyaadi. 2021. "Water-energy nexus performance investigation of water flow cooling as a clean way to enhance the productivity of solar photovoltaic modules." Journal of Cleaner Production 312, no. : 127641.
Dynamic multi-objective optimization (DMOO) is implemented on a water-based cooling system to enhance the performance of a 50 W polycrystalline-based solar photovoltaic (PV) module. The DMOO is conducted under the climatic conditions of Tehran, Iran, with the aim of maximizing the power output while minimizing the amount of cooling water consumed. The results of the DMOO are compared against those of a no-cooling condition (NCC) and a constant water flow (CWF) condition of 0.1 LPM. Compared with CWF, DMOO is found to produce a 64.73% increase in the annual energy production and a 41.98% decrease in water usage over an entire year. Furthermore, compared to NCC, DMOO is able to reduce the average and maximum temperatures of the PV module by 54.07% and 61.02%, respectively in a year; these figures are 16.63% and 17.37% better than those of CWF. Moreover, on an annual basis, DMOO is found to reduce the difference between the average and maximum PV temperatures by 79.79% and 54.53% relative to NCC and CWF, respectively. This study shows that the performance of a PV module can be improved significantly by applying DMOO to its water-based cooling system.
Mohammad Hassan Shahverdian; Ali Sohani; Hoseyn Sayyaadi; Saman Samiezadeh; Mohammad Hossein Doranehgard; Nader Karimi; Larry K.B. Li. A dynamic multi-objective optimization procedure for water cooling of a photovoltaic module. Sustainable Energy Technologies and Assessments 2021, 45, 101111 .
AMA StyleMohammad Hassan Shahverdian, Ali Sohani, Hoseyn Sayyaadi, Saman Samiezadeh, Mohammad Hossein Doranehgard, Nader Karimi, Larry K.B. Li. A dynamic multi-objective optimization procedure for water cooling of a photovoltaic module. Sustainable Energy Technologies and Assessments. 2021; 45 ():101111.
Chicago/Turabian StyleMohammad Hassan Shahverdian; Ali Sohani; Hoseyn Sayyaadi; Saman Samiezadeh; Mohammad Hossein Doranehgard; Nader Karimi; Larry K.B. Li. 2021. "A dynamic multi-objective optimization procedure for water cooling of a photovoltaic module." Sustainable Energy Technologies and Assessments 45, no. : 101111.
The impacts of the ambient absolute and relative humidity on the performance of a photovoltaic (PV) solar module are investigated in details here. Using the experimental data recorded during a year as inputs, an artificial neural network is employed to develop models to predict voltage and current based on the effective parameters, including ambient temperature and relative humidity as well as the wind velocity and irradiance, and having developed and validated the models, a comprehensive parametric study is conducted. The parametric study is performed to find the impacts of absolute and relative humidity on the voltage, current, power, and efficiency, as the main characteristics of a solar module. A mono and a poly crystalline solar modules with the same capacity and almost the same dimensions are considered and compared together. The results show that all the characteristics have a downward trend when absolute and relative humidity increase. Moreover, both the behavior and changes for the absolute humidity are found the same as the relative humidity. In addition, the lowest level of dependency is observed for the voltage of monocrystalline module. It has 12.2% decrease in the relative humidity range of 10-50%. By contrast, both generated power and efficiency of polycrystalline module change 46.3% in the same range and have the highest sensitivity level. Moreover, in general, poly cystalline type is found more sensetive to the relative humidity than the mono type.
Ali Sohani; Mohammad Hassan Shahverdian; Hoseyn Sayyaadi; Davide Astiaso Garcia. Impact of absolute and relative humidity on the performance of mono and poly crystalline silicon photovoltaics; applying artificial neural network. Journal of Cleaner Production 2020, 276, 123016 .
AMA StyleAli Sohani, Mohammad Hassan Shahverdian, Hoseyn Sayyaadi, Davide Astiaso Garcia. Impact of absolute and relative humidity on the performance of mono and poly crystalline silicon photovoltaics; applying artificial neural network. Journal of Cleaner Production. 2020; 276 ():123016.
Chicago/Turabian StyleAli Sohani; Mohammad Hassan Shahverdian; Hoseyn Sayyaadi; Davide Astiaso Garcia. 2020. "Impact of absolute and relative humidity on the performance of mono and poly crystalline silicon photovoltaics; applying artificial neural network." Journal of Cleaner Production 276, no. : 123016.