Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Combined Effect of Deterministic and Stochastic Variables on Comparative Performance Analysis of 110 kW A-Si PV and C-Si PV based Rooftop Grid Tied Solar Photovoltaic Systems in Jodhpur


Affiliations
1 Indian Institute of Technology Jodhpur, Old Residency Road, Jodhpur - 342 011, Rajathan, India
2 Dayalbagh Educational Institute, Dayalbagh, Agra – 282005, Uttar Predesh, India
3 Central Power Research Institute, Bangalore - 560 080, India
     

   Subscribe/Renew Journal


The main objective of this paper is to review the state of the art of IIT Jodhpur Rooftop installed 110 kW PV systems. This is done analyzing the operational data of 110 kW PV systems (43.30 kW located in Block 1 and 58.08 kW in Block 2). Performance analysis depends on three basic term of solar PV. How much energy do they produce? What level of performance is associated to their production? Which are the key parameters that most influence their quality? During the year 2011, the PV systems in Jodhpur, India have produced a mean annual energy of 1290.64 kWh/kWp in block-1 and 1290.64 kWh/kWp in Block-2. As a whole, the location of Solar PV system is the main reason of energy variability and system output. The overall mean Performance Ratio is 75% in both Blocks. Solar power variability depends on the two variables, deterministic and stochastic variable. In last few years researcher work on finding deterministic variable such as system losses (module efficiency, DC cable losses, inverter losses and AC cable losses) but these deterministic variables are not enough to give accurate forecasting so with the help of combined effect of these both variable give accurate plant performance and reliable solar power forecasting for solar power scheduling and dispatchability.

Keywords

PV System description, Roof of academic blocks, Performance analysis of solar PV, Performance ratio, Deterministic variables and Stochastic variables
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 196

PDF Views: 0




  • Combined Effect of Deterministic and Stochastic Variables on Comparative Performance Analysis of 110 kW A-Si PV and C-Si PV based Rooftop Grid Tied Solar Photovoltaic Systems in Jodhpur

Abstract Views: 196  |  PDF Views: 0

Authors

Vikas Pratap Singh
Indian Institute of Technology Jodhpur, Old Residency Road, Jodhpur - 342 011, Rajathan, India
Vivek Vijay
Indian Institute of Technology Jodhpur, Old Residency Road, Jodhpur - 342 011, Rajathan, India
B. Ravindra
Indian Institute of Technology Jodhpur, Old Residency Road, Jodhpur - 342 011, Rajathan, India
D. K. Chaturvedi
Dayalbagh Educational Institute, Dayalbagh, Agra – 282005, Uttar Predesh, India
Rajashekhar P. Mandi
Central Power Research Institute, Bangalore - 560 080, India

Abstract


The main objective of this paper is to review the state of the art of IIT Jodhpur Rooftop installed 110 kW PV systems. This is done analyzing the operational data of 110 kW PV systems (43.30 kW located in Block 1 and 58.08 kW in Block 2). Performance analysis depends on three basic term of solar PV. How much energy do they produce? What level of performance is associated to their production? Which are the key parameters that most influence their quality? During the year 2011, the PV systems in Jodhpur, India have produced a mean annual energy of 1290.64 kWh/kWp in block-1 and 1290.64 kWh/kWp in Block-2. As a whole, the location of Solar PV system is the main reason of energy variability and system output. The overall mean Performance Ratio is 75% in both Blocks. Solar power variability depends on the two variables, deterministic and stochastic variable. In last few years researcher work on finding deterministic variable such as system losses (module efficiency, DC cable losses, inverter losses and AC cable losses) but these deterministic variables are not enough to give accurate forecasting so with the help of combined effect of these both variable give accurate plant performance and reliable solar power forecasting for solar power scheduling and dispatchability.

Keywords


PV System description, Roof of academic blocks, Performance analysis of solar PV, Performance ratio, Deterministic variables and Stochastic variables



DOI: https://doi.org/10.33686/prj.v9i2.189579