Estimation-and-analysis-of-soiling-loss-on-solar-panels-of-MSIT 1.pptx

This is a good report

1. Estimation and analysis of soiling loss on solar panels of MSIT Project ( Phase I ) Project Guide : Dr. Kaustuv Dasgupta Members : Soumyadeep Chakraborty - 14201621013 Aishi Singha - 14201621015 Biswarupa Dey Sarkar - 14201621029 Siddhartha Saha - 14201621012

2. Presentation flow : 1 2 3 4

3. Project Objective : The objective is to estimate and analyze soiling losses on the solar panels of MSIT . This project involves determining how the accumulation of dirt, dust, and other particulate matter on the surface of solar panels affects their energy output. Soiling loss is an important factor to consider for the efficiency of solar energy systems, especially in regions with dry or dusty conditions. Firstly we generate a default loss profile using PVsyst and existing METEONORM data. Secondly we will generate the actual loss profile using PVsyst and the real time data obtained from the solar panels of MSIT. We will compare the actual loss profile and default generated loss profile and draw analysis.

4. Quick overview of power flow :

5. Process detail : Step 1 : Selecting to design a GRID CONNECTED SOLAR SYSTEM. Fig 1 : PVsyst Software module home screen

6. Step 2 : We name the system as “ 5.2 kWp Solar Power Plant “ and select “ Kolkata / Calcutta “ Meteonorm 8.0 file for default irradiation value. Fig 2 : PVsyst software Project specifications window

7. Step 3 : We define the plane tilt as 24.6 to maximize yearly yield. Fig 3: Tilt angle of PV module is preset to 24.6°

8. Step 4 : Defining the planned power = 5.2 kWp. Step 5 : Defining the PV module to be used = Tata Power Solar System - TP 310L BZp Step 6 : Defining the INVERTER to be used = BYD - BSG3000TL-E

9. Step 7 : Defining thermal parameters with default value according to "Free mounted module with air circulation".

10. Step 8 : Defining ohomic losses as a 1.5% of STC.

11. Step 9 : Defining module efficiency loss , light induced degradation , module mismatch loss , strings voltage mismatch to default values.

12. Step 10 : Defining yearly soiling loss as default value of 3%.

13. Step 11 : Defining incidence angle model as "ASHRAE Model"

14. Step 12 : Defining spectral correction as per the technology of PV module used.

15. Horizon ( Sun path in whole year ) : The path taken by sun in the whole year in Kolkata will be as shown below,

16. Step 13 : The simulation is run and the detailed analysis of the system is presented. Fig 14: PVSyst: Results window

17. Energy incident into the grid vs global incident in coll. plane graph : The graph of energy incident into the grid versus global incident energy in a collector plane typically represents the relationship between the amount of solar energy available on the surface of a solar collector and the amount of that energy that is actually captured by the collector and delivered to the grid. In a ideal model the collector system is efficient and the losses are minimal, there is a nearly linear relationship between the global incident energy and the energy delivered to the grid.

18. Energy injected in the grid vs power injected into the grid graph : The graph of energy injected into the grid versus power injected into the grid is commonly used to understand the time-dependent behavior of energy production and its transfer into the electrical grid.

19. Performance ratio graph : A Performance Ratio (PR) graph is an important tool used in the evaluation of the efficiency and effectiveness of a solar power system (or any renewable energy system). The Performance Ratio (PR) is a dimensionless number that compares the actual energy output of a solar system to its theoretical maximum possible output under ideal conditions. It accounts for system losses due to inefficiencies like shading, dirt on panels, inverter losses, and more.

20. Array temperature vs effective irradiance : An Array Temperature vs. Effective Irradiance graph is typically used to analyze the relationship between the temperature of a solar array (or solar panels) and the amount of solar energy incident on the array (irradiance) that is actually available for energy conversion. This kind of graph can provide insights into how temperature affects the efficiency of solar panels and how the amount of incident sunlight influences the temperature of the array.