scholarly journals Performance Evaluation of 100kWp Roof-top Grid-connected PV System installed in Northern India

2019 ◽  
Vol 8 (3) ◽  
pp. 8441-8444 ◽  

The performance of 100 kWp roof-top grid-connected PV system was evaluated. The plant was installed at PGDM building in Sharda University, Greater Noida in northern India. The plant was monitored from March 2018 to February 2019. Performance parameters such as system efficiency, performance ratio, capacity utilization factor, and degradation rate were obtained. The plant performance result was compared with the estimated results obtained from SAM and PVsyst software. The total annual energy output was found to be 16426 kWh. The annual average system efficiency and capacity utilization factor of the plant was found to be 15.62 % and 14.72 % respectively. The annual performance ratio and annual degradation rate were found to be 76% and 1.28%/year respectively. The annual performance ratio obtained from SAM and PVsyst was found to be 78% and 82% respectively. It was noticed that the measured performance ratio was highly relative with the one obtained from SAM software.

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3639
Author(s):  
Ahmed Bilal Awan ◽  
Mohammed Alghassab ◽  
Muhammad Zubair ◽  
Abdul Rauf Bhatti ◽  
Muhammad Uzair ◽  
...  

The aim of this research is to perform an in-depth performance comparison of ground-mounted and rooftop photovoltaic (PV) systems. The PV modules are tilted to receive maximum solar irradiance. The efficiency of the PV system decreases due to the mutual shading impact of parallel tilted PV modules. The mutual shading decreases with the increasing interrow distance of parallel PV modules, but a distance that is too large causes an increase in land cost in the case of ground-mounted configuration and a decrease in roof surface shading in the case of rooftop configuration, because larger sections of roof are exposed to sun radiation. Therefore, an optimized interrow distance for the two PV configurations is determined with the aim being to minimize the levelized cost of energy (LCoE) and maximize the energy yield. The model of the building is simulated in EnergyPlus software to determine the cooling load requirement and roof surface temperatures under different shading scenarios. The layout of the rooftop PV system is designed in Helioscope software. A detailed comparison of the two systems is carried out based on energy output, performance ratio, capacity utilization factor (CUF), energy yield, and LCoE. Compared to ground-mounted configuration, the rooftop PV configuration results in a 2.9% increase in CUF, and up to a 23.7% decrease in LCoE. The results of this research show that installing a PV system on a roof has many distinct advantages over ground-mounted PV systems such as the shading of the roof, which leads to the curtailment of the cooling energy requirements of the buildings in hot regions and land cost savings, especially for urban environments.


Clean Energy ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 288-301
Author(s):  
Anupama Khare Saxena ◽  
Seema Saxena ◽  
K Sudhakar

Abstract India is very rich in solar energy, with a total of 3000 sunshine hours annually in most places. The installation of on-grid rooftop electricity-generation photovoltaic (PV) systems is currently undergoing substantial growth and extension as an alternate source of energy that contributes to Indian buildings. This paper analyses the viability of mounting solar PV plants in distinct cities of India in various locations with different climate conditions such as Delhi, Bhopal, Udaipur, Ahmadabad, Thiruvananthapuram, Pune and Madurai. The technical feasibility of installing a 100-kWp system is evaluated using PVsyst software under local climatic conditions. The performance ratio is between 70% and 80%, with a capacity utilization factor of 19–21% and estimated energy output of 170 MWh annually at all sites. The system produces 400–500 kWh of energy daily at a per-unit cost of INR 6–7 (Indian rupees) in all locations. The lifespan of the system is ~25–30 years, reducing about 150–170 tons of carbon-dioxide emission to the atmosphere every year. The payback period of the system is ~5–6 years, which defines its feasibility. This information would encourage organizations and individuals to install such PV plants on the rooftops of buildings to use solar electricity for meeting the energy demands of the country.


2018 ◽  
Vol 1 (1) ◽  
pp. 31-34 ◽  
Author(s):  
Ashok Aryal ◽  
Nawraj Bhattarai

The renewable sources such as solar, wind, biomass, etc. are often used for electricity generation for their availability, no green-house gas emission and solar photovoltaic is major among them. Many On-Grid PV systems are being installed around the globe nowadays to reduce electricity dependency on a single source and thus enhance availability of energy sources. Kathmandu, Nepal receives sufficient sunshine with insolation around 4.5 to 5 kWh/m2/day, which justifies essence of grid-connected solar PV installations. A 115.2 kWp solar plant has been installed at Tribhuvan University Teaching Hospital (TUTH), Maharajgunj, Kathmandu to fulfill its own load demands and reduce the electricity bill of the building. The generated energy is not fed to the grid currently. The detailed On-Grid solar PV system is modeled, and performance parameters such as Performance Ratio, Specific Yield and Capacity Utilization Factor as defined by International Electro technical Commission are estimated using simulation techniques from PVSYST. The actual generation of the existing system within one year of installation is measured to be 35 MWh but simulation tool suggests that total 199 MWh can be generated using similar capacity panel, with system being totally on-grid type. Using PVSYST, the performance parameters are found to be performance ratio 83.5 % and Specific Yield 1728 kWh/kWp respectively. Thus, this paper intends to calculate performance parameters of existing system as well as performance of identical sized, totally on-grid system, simulated using PVSYST.


Author(s):  
J. Raja ◽  
Nishant Jain ◽  
C. Christober Asir Rajan

<p>in India to meet its future energy demand. This paper emphasis on the performance assessment of grid connected mega-watt solar power plant which is of 23MW and 5MW are located in different geographical location in India. Performance assessment is the finest way to determine the potential of energy generation in solar power plant and it also helps in evaluating the design, operation and maintenance of existing and future solar power plant. The parameters namely calculation of annual energy generated, reference yield, final yield, system losses, cell temperature losses, performance ratio and capacity utilization factor are considered in examining solar power plant performance. In this study experimental measurement of two solar power plant one is located in Gujarat (23MW) and another in Andhra Pradesh (5MW) are compared with the results of estimated model from METEONORM 7.1 and PVSYST V6.67 software tools. Experimental measurement at solar power plant location covers the following measurement for analysis like actual weather condition, daily/hourly irradiance, actual energy yield and compares with capacity utilization factor, performance ratio and temperature corrected performance ratio parameters. The results demonstrated in this paper show the gap between the actual performance of solar power plant and the estimated model from software tool. Performance of solar power plant is satisfactory in comparison with other literature reviews. The actual annual energy generated for 23MW solar power plant was 37991MWh, 18.83% capacity utilization factor, 73.87% performance ratio and 75.33% temperature corrected performance ratio. Similarly, the actual annual energy generated for 5MW solar power plant was 9047.7MWh, 18.41% capacity utilization factor, 80.31% performance ratio and 79.90% temperature corrected performance ratio.</p>


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ramhari Poudyal ◽  
Pavel Loskot ◽  
Ranjan Parajuli

AbstractThis study investigates the techno-economic feasibility of installing a 3-kilowatt-peak (kWp) photovoltaic (PV) system in Kathmandu, Nepal. The study also analyses the importance of scaling up the share of solar energy to contribute to the country's overall energy generation mix. The technical viability of the designed PV system is assessed using PVsyst and Meteonorm simulation software. The performance indicators adopted in our study are the electric energy output, performance ratio, and the economic returns including the levelised cost and the net present value of energy production. The key parameters used in simulations are site-specific meteorological data, solar irradiance, PV capacity factor, and the price of electricity. The achieved PV system efficiency and the performance ratio are 17% and 84%, respectively. The demand–supply gap has been estimated assuming the load profile of a typical household in Kathmandu under the enhanced use of electric appliances. Our results show that the 3-kWp PV system can generate 100% of electricity consumed by a typical residential household in Kathmandu. The calculated levelised cost of energy for the PV system considered is 0.06 $/kWh, and the corresponding rate of investment is 87%. The payback period is estimated to be 8.6 years. The installation of the designed solar PV system could save 10.33 tons of CO2 emission over its lifetime. Overall, the PV systems with 3 kWp capacity appear to be a viable solution to secure a sufficient amount of electricity for most households in Kathmandu city.


Buildings ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 192
Author(s):  
Zainab Usman ◽  
Joseph Tah ◽  
Henry Abanda ◽  
Charles Nche

Climate change and global warming have triggered a global increase in the use of renewable energy for various purposes. In recent years, the photovoltaic (PV)-system has become one of the most popular renewable energy technologies that captures solar energy for different applications. Despite its popularity, its adoption is still facing enormous challenges, especially in developing countries. Experience from research and practice has revealed that installed PV-systems significantly underperform. This has been one of the major barriers to PV-system adoption, yet it has received very little attention. The poor performance of installed PV-systems means they do not generate the required electric energy output they have been designed to produce. Performance assessment parameters such as performance yields and performance ratio (PR) help to provide mathematical accounts of the expected energy output of PV-systems. Many reasons have been advanced for the disparity in the performance of PV-systems. This study aims to analyze the factors that affect the performance of installed PV-systems, such as geographical location, solar irradiance, dust, and shading. Other factors such as multiplicity of PV-system components in the market and the complexity of the permutations of these components, their types, efficiencies, and their different performance indicators are poorly understood, thus making it difficult to optimize the efficiency of the system as a whole. Furthermore, mathematical computations are presented to prove that the different design methods often used for the design of PV-systems lead to results with significant differences due to different assumptions often made early on. The methods for the design of PV-systems are critically appraised. There is a paucity of literature about the different methods of designing PV-systems, their disparities, and the outcomes of each method. The rationale behind this review is to analyze the variations in designs and offer far-reaching recommendations for future studies so that researchers can come up with more standardized design approaches.


2021 ◽  
Vol 13 (14) ◽  
pp. 7680
Author(s):  
Ghoname Abdullah ◽  
Hidekazu Nishimura

In this paper, the grid-connected photovoltaic system in Tochigi prefecture, Japan, is presented, and its technical and economic performance after eight years is evaluated. The system has a peak power of 40.1 kWp and has been in operation since 2012. The entire electricity generated by the system was fed into the state grid. The system is suitably monitored for one year (2019) and analyzed using the parameters developed and defined in the standard IEC 61724-1 by the International Electrotechnical Commission. The system’s different parameters included array yield, final yield, capacity utilization factor, and performance ratio of the system. An analytical model with solar irradiation obtained from Power Data Access Viewer was developed to investigate and evaluate the efficiency of the system monthly and annual energy generation by comparing the simulated and measured energy acquired from the inverter. A positive linear relationship is observed between solar irradiation data obtained from Power Data Access Viewer and the grid-connected photovoltaic system energy injected into the utility grid. While an annual total of 48,521 kWh of energy was expected to be generated, 38,071 kWh was generated and injected into the utility in 2019. This study also introduces and explains the mechanism of the Feed-In-Tariff system in Japan. The performance of the grid-connected photovoltaic system under this study was compared with that of other systems installed across the globe.


Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 586
Author(s):  
Fadhil Y. Al-Aboosi ◽  
Abdullah F. Al-Aboosi

Solar photovoltaic (PV) systems have demonstrated growing competitiveness as a viable alternative to fossil fuel-based power plants to mitigate the negative impact of fossil energy sources on the environment. Notwithstanding, solar PV technology has not made yet a meaningful contribution in most countries globally. This study aims to encourage the adoption of solar PV systems on rooftop buildings in countries which have a good solar energy potential, and even if they are oil or gas producers, based on the obtained results of a proposed PV system. The performance of a rooftop grid-tied 3360 kWp PV system was analyzed by considering technical, economic, and environmental criteria, solar irradiance intensity, two modes of single-axis tracking, shadow effect, PV cell temperature impact on system efficiency, and Texas A&M University as a case study. The evaluated parameters of the proposed system include energy output, array yield, final yield, array and system losses, capacity factor, performance ratio, return on investment, payback period, Levelized cost of energy, and carbon emission. According to the overall performance results of the proposed PV system, it is found to be a technically, economically, and environmentally feasible solution for electricity generation and would play a significant role in the future energy mix of Texas.


2021 ◽  
Vol 10 (2) ◽  
pp. 24-47
Author(s):  
Sumit Sharma ◽  
Ashish Nayyar ◽  
Kamal Kishore Khatri

Solar energy has huge potential and offers a solution to fulfill the demand for energy and reduce fossil fuel emissions. An effort had been made for assessing the effects of dust accumulation and ambient temperature on module conversion efficiency of 62 KWp grid connected rooftop solar plant. The performance parameters including open-circuit voltage, maximum voltage, short-circuit current, maximum current, etc. were collected and permitting for usual dust addition. These statistics were used for the estimation of the performance ratio (PR), capacity utilization factor (CUF), and power conversion efficiency. This work assesses the decrease in conversion efficiency of cell as a function of dust addition and ambient temperature. A multivariate linear regressions (MLR) model can forecast conversion efficiency closely, with R2 values close to 91%. It was employed in computing decrease in efficiency due to dust addition only. Result shows that the normal efficiency drops due to dust are 0.872%/day, energy harms are 9.935 kWh/m2 and Rs. 192.72 or 2.5 dollar per day by the MLR model.


Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4584
Author(s):  
Jun-Hyun Shin ◽  
Jin-O Kim

This paper presents an on-line diagnosis method for large photovoltaic (PV) power plants by using a machine learning algorithm. Most renewable energy output power is decreased due to the lack of management tools and the skills of maintenance engineers. Additionally, many photovoltaic power plants have a long down-time due to the absence of a monitoring system and their distance from the city. The IEC 61724-1 standard is a Performance Ratio (PR) index that evaluates the PV power plant performance and reliability. However, the PR index has a low recognition rate of the fault state in conditions of low irradiation and bad weather. This paper presents a weather-corrected index, linear regression method, temperature correction equation, estimation error matrix, clearness index and proposed variable index, as well as a one-class Support Vector Machine (SVM) method and a kernel technique to classify the fault state and anomaly output power of PV plants.


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