Analysis and Modeling of 581 kWp Grid-Integrated Solar Photovoltaic Power Plant of Academic Institution Using PVsyst †
1
Department of Electrical and Electronics Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
2
Faculty of Electrical Skills Education, Bhartiya Skill Development University Jaipur, Jaipur 302037, Rajstahan, India
*
Authors to whom correspondence should be addressed.
†
Presented at the International Conference on Recent Advances in Science and Engineering, Dubai, United Arab Emirates, 4–5 October 2023.
Eng. Proc. 2023, 59(1), 142; https://doi.org/10.3390/engproc2023059142
Published: 4 January 2024
(This article belongs to the Proceedings of Eng. Proc., 2023, RAiSE-2023)
Abstract
:Solar photovoltaic (PV) technology has become increasingly common in the energy sector in recent years. India has abundant renewable and non-renewable energy sources. India’s average solar insulation is 5000 T kWh per year (or 500 TW). The main objective of this paper is to present a design for a 581 kWp on-grid solar photovoltaic system at the academic institution using PVsyst software. In our study, works have been carried out to indulge the power losses which occurred due to interconnections, temperature, irradiation, inverter, wiring, soiling, power electronics, and grid availability. The results of our investigation showed the average global horizontal irradiation and PV Plant Performance ratio (PR) were found to be 5.28 kWh/m2/day and 84.14%, respectively. The investigation results of per year production capacity of the proposed plant was found to be 971,271 kWh which is completely CO2-free. As a result, the cost of electricity at the academic institution was Rs 7,915,858/− less per year.
1. Introduction
The rapid depletion of resources from fossil fuel, along with the effect of global warming, has led to an urge to search for an alternative energy sources. Recent research indicates that renewable energy has enormous potential and can be used to meet the world’s energy demands [1,2]. India is well-supplied with renewable energy resources, and its enormous potential must be used to increase the accessibility, affordability, and dependability of the country’s power supply. The most common method of generating power from solar energy is through usage of PV technology or a PV system [3]. The boom of the solar PV industry was fueled by the negative consequences of using traditional resources and the growing demand for energy. Solar companies are booming quickly in India and around the world, thanks to the government’s support and lower costs. The global demand for energy for various developmental activities has risen in almost every region. As fossil fuel based energy becomes increasingly scarce, it is time to turn to renewable energy sources, including hydropower, wind, solar, and biomass plants to generate energy to solve the problem [4,5,6,7]. In order to maintain a balanced state of power generation and to overcome the depletion of fossil fuel resources, several power plantations, including solar, wind, hydroelectric, biomass, geothermal and many more, have been established in various places.
Power generation from solar energy is one of the most convenient methods for easy installation, accessibility, low cost, and energy transmission and conservation. Many solar panels are installed on the rooftop of the building for power generation. This paper aims to focus on modeling of a 581 kWp solar power plant installed on an academic building. The solar power plant consists of operating blocks as shown in Figure 1.
The power plant consists of an arrangement of solar panels connected in series and parallel, constituting the solar array for the proposed 581 kWp plant. The array is connected to a grid tied inverter via Direct Current Distribution Box (DCDB). The DCDB box uses protective measurements such as a Miniature Circuit Breaker (MCB) and surge protection devices. The inverter converts DC solar array input into compatible grid-equivalent AC output and the same output will be synchronized with the grid. Inverters contain anti-islanding protection measures and the further output of inverter is connected to an Alternative Current Distribution Box (ACDB), which has an inbuilt MCB and surge protection devices for safety purposes. The output of ACDB is connected to the solar main meter where we monitor the solar generation data and the same meter is connected to the utility panel. Solar net metering devices are used for energy export and import purposes. The actual plant photos, a single-line diagram of the plant, the interconnected configuration of the solar array and inverters, and other components are shown in Figure 2.
Several countries have developed solar photovoltaic projects to generate electricity, far exceeding the global average. India has a huge potential for solar-radiated electricity production. The favorable geographical location benefits the plant with a significant amount of solar irradiance almost all year. Approximately 4.7 kWh/m2/day of solar irradiance is received in most areas of India, and the country’s land mass is forecast to receive approximately 5000 trillion kWh of solar energy per year [8,9,10,11,12]. Due to rapidly reducing cost of PV modules, in the future PV systems will become one of the main sources of electricity around the world [13,14,15]. The simulation system is mainly used to analyze and measure the performance of a grid-connected PV generation network. In this study measurement and analysis of the grid-connected PV system and the system’s performance was carried out by PVSyst software, Version 7.3.4 [16,17,18,19,20].
2. Methodology
The performance of a grid-connected PV system with a capacity of 581 kWp was investigated using the PVSyst simulation platform. PVSyst software is utilized to account for all the power losses. A total of 1,056,550 − Watt Trina solar photovoltaic modules and six 80 KW, 3Φ, 400 V Delta inverters were used to construct a 581 kWp grid-connected solar photovoltaic system. The technical datasheet of solar photovoltaic modules and inverters are shown in Table 1 and Table 2, respectively.
A technical datasheet of 550-Watt Trina solar panel, along with the output of a solar panel at standard test conditions, is shown in Figure 3.
The technical datasheet of Delta Energy made on a Grid inverter is shown in Figure 4.
The solar PV array configurations are shown in Figure 5. All modules are mounted at an azimuth angle of 0° with an inclination angle of 15° facing south and are free of any shading impact.
The above Figure indicates that a total of 1022 solar panels used here form 48 strings of 22 series modules. Six inverters of 80 kWp having 12 MPPT units are present and their output is injected into the grid.
3. Results Analysis
According to the PVSyst simulation, maximum energy generation occurs in February and minimum energy generation occurs in July. Figure 6 below summarizes the overall performance evaluation and performance ratio of the MIT 581 KW Solar PV Plant.
Figure 7 shows a power loss diagram for a 581 kW MIT Solar PV Plant due to wiring, soiling, power electronics, inverter, irradiation, temperature, interconnections, and grid availability.
The most energy is pumped into the grid in February, while July sees the least amount. A total of 1930 kWh/m2 was found to be the global average of horizontal radiation. The total incident energy on the collector plane was obtained to be 1987 kWh/m2. The PV system’s performance ratio was measured to be 84.14%.
4. Conclusions
The output performance of a roof-mounted solar PV system of 581 kWp grid based on monthly and annual parameters was evaluated. The data simulation was carried out using the PVSyst software tools. The most important results from the current research are summarized below.
The most energy was given to the grid in March, whereas August held the least. The solar PV system of 581 kWp is performing well, with a PR of 84.14%. During the investigation, it was discovered that in the financial year 2022, 971,271 kWh of CO2-free solar energy was obtained at the output of the Solar PV array. This saved the MIT academic campus Rs 7,915,858 per year on its electricity bill. Over 25 years, approximately Rs. 197,896,466/− of electricity bill could be saved.
Author Contributions
J.R.H., M.B., P.K. and N.G. contributed equally. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Data are contained within the article.
Acknowledgments
The authors would also like to express their sincere gratitude to Manipal Institute of Technology Bengaluru for providing the technical support.
Conflicts of Interest
The authors declare no conflicts of interest.
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Figure 1.
A 581 kWp Academic Building Solar Power Plant Schematic Diagram.
Figure 2.
581 Kw solar actual power plant diagram.
Figure 3.
V-I Characteristics of PV panel.
Figure 4.
Technical datasheet of Delta Energy makes on Grid inverter efficiency curve of a 100 KW Inverter.
Figure 4.
Technical datasheet of Delta Energy makes on Grid inverter efficiency curve of a 100 KW Inverter.
Figure 5.
Solar PV array configurations.
Figure 6.
MIT 581 KW Solar PV Plant Analysis (a) Performance evaluation and (b) Performance ratio of the MIT 581 KW Solar PV Plant. Legends: E Array—Effective energy at the output of the array. E Grid—Energy injected into grid.
Figure 6.
MIT 581 KW Solar PV Plant Analysis (a) Performance evaluation and (b) Performance ratio of the MIT 581 KW Solar PV Plant. Legends: E Array—Effective energy at the output of the array. E Grid—Energy injected into grid.
Figure 7.
Loss diagram over the year.
Table 1.
Technical datasheet of a 550 − Watt Trina solar panel.
| Model | TSM-DE 19-550Wp Vertex | ||
|---|---|---|---|
| Pnom STC Power (Manufacturer) | 550 Wp | Technology | Si-mono |
| Module Size (W × L) | 1.096 × 2.384 m2 | Rough module area (Amodule) | 2.61 m2 |
| Number of cells | 2 × 55 | Sensitive area cells (Acells) | 2.64 m2 |
| Specifications for the model (Manufacturer or measurement data) | |||
| Reference temperature (Tref) | 25 °C | Reference irradiance (Gref) | 1000 W/m2 |
| Open circuit voltage (Voc) | 37.9 V | Short Circuit Current (Isc) | 18.52 A |
| Max. power point voltage (Vmpp) | 31.6 V | Max. power point current (Impp) | 17.40 A |
| => maximum power (Pmpp) | 549.8 W | Isc temperature coefficient (mulsc) | 7.4 mA/°C |
| One-diode model parameters | |||
| Shunt Resistance (Rshunt) | 200 Ω | Diode saturation current (IoRef) | 0.040 nA |
| Serie Resistance (Rserie) | 0.12 Ω | Voc temp. coefficient (MuVoc) | −105 mV/°C |
| Specified Pmax temper. Coeff. (muPMaxR) | −0.34%/°C | Diode Quality Factor (Gamma) | 1.00 |
| Diode factor temper. Coeff. (mu Gamma) | 0.0001/°C | ||
| Reverse- Bias Parameters, for use in behavior of PV arrays under partial shadings or mismatch | |||
| Reverse characteristics (dark) (BRev) | 3.20 mA/V2 | (Quadratic factor (per cell)) | |
| Number of by-pass diodes per module | 3 | Direct voltage of by-pass diodes | −0.7 V |
| Model results for standard conditions (STC: T = 25 °C, G = 1000 W/m2, AM = 1.5) | |||
| Max. power point voltage (Vmpp) | 31.3 V | Max. power point current (Impp) | 17.58 A |
| Maximum power (Pmpp) | 550.1 Wp | Power temper. Coefficient (mupmpp) | −0.34%/°C |
| Efficiency (/module area) (Eff_mod) | 21.1% | Fill factor (FF) | 0.784 |
| Efficiency (/cell area) (Eff_cells) | 22.7% | ||
Table 2.
Technical datasheet of inverter.
| Inverter—Solar Inverter M80H (480 VAC) | |||
|---|---|---|---|
| Model | Solar Inverter M80H (480 VAC) | ||
| Commercial Data | Data Source | ||
| Protection: | IP65 | ||
| Control: | Display operational data | Width | 615 mm |
| Height | 950 mm | ||
| Depth | 275 mm | ||
| Weight | 84.00 kg | ||
| Input characteristics (PV array side) | |||
| Operating mode | MPPT | Nominal PV Power (Pnom DC) | 80 kW |
| Minimum MPP Voltage (Vmin) | 200 V | Maximum PV Power (Pmax DC) | 89 kW |
| Maximum MPP voltage (Vmax) | 800 V | Power Threshold (Pthresh) | 396 W |
| Absolute max. PV Voltage (Vmax array) | 1000 V | ||
| Min. Volatge for PNom (Vmin@Pnom) | 635 V | ||
| “String” Inverter with input protections | Multi MPPT Capability | ||
| Number of string inputs | 18 | Number of MPPT inputs | 2 |
| Behavior at Vmin/Vmax | Limitation | ||
| Behaviour at Pnom | Limitation | ||
| Output Characteristics (AC grid side) | |||
| Grid Voltage (Imax) | Triphased 480 V | Nominal AC Power (Pnom AC) | 80 kWac |
| Grid Frequency | 50/60 Hz | Maximum AC Power (Pmax AC) | 88 kWac |
| Maximum efficiency | 98.8% | Nominal AC current (Inom AC) | 97 A |
| European average efficiency | 98.4% | Maximum AC current (Imax AC) | 106 A |
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MDPI and ACS Style
Hanni, J.R.; Bukya, M.; Kumar, P.; Gowtham, N. Analysis and Modeling of 581 kWp Grid-Integrated Solar Photovoltaic Power Plant of Academic Institution Using PVsyst. Eng. Proc. 2023, 59, 142. https://doi.org/10.3390/engproc2023059142
AMA Style
Hanni JR, Bukya M, Kumar P, Gowtham N. Analysis and Modeling of 581 kWp Grid-Integrated Solar Photovoltaic Power Plant of Academic Institution Using PVsyst. Engineering Proceedings. 2023; 59(1):142. https://doi.org/10.3390/engproc2023059142
Chicago/Turabian StyleHanni, Jayalaxmi Rajesh, Mahipal Bukya, Pancham Kumar, and Nagaraju Gowtham. 2023. "Analysis and Modeling of 581 kWp Grid-Integrated Solar Photovoltaic Power Plant of Academic Institution Using PVsyst" Engineering Proceedings 59, no. 1: 142. https://doi.org/10.3390/engproc2023059142
