scholarly journals Design, Model & Planning of Prosumer Microgrid for MNS UET Multan Campus

2021 ◽  
Author(s):  
Haseeb Javed
Keyword(s):  
Conceptual Design ◽  
Financial Analysis ◽  
Electrical Power ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
University Campus ◽  
Solar Pv ◽  
Proposed Model ◽  
Solar Photovoltaic System ◽  
The University

The goal of this study is to provide a model and conceptual design for a prosumer campus microgrid that will help the university campus economically. The proposed model is based on solar PV installation at department rooftop for the campus of Muhammad Nawaz Sharif University of Engineering and Technology's in Multan, Pakistan. This study indicates that a 3,196-kW grid-connected solar photovoltaic system may generate enough electrical power to meet consumption, reducing grid reliance and minimizing energy from grid supply. This study also includes an economical and financial analysis of the proposed system based on various assumptions. PVSol Software was used to conduct a solar potential study and design of the site. Our study and analysis revealed that our suggested PV model can create 3,196.53 kWh of PV energy (DC), which is about 81.6 percent of the yearly consumption of our chosen site of 3,784.56 kWh.

scholarly journals GIS-Based Irrigation Dams Potential Assessment of Floating Solar PV System

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Abraham Hizkiel Nebey ◽  
Biniyam Zemene Taye ◽  
Tewodros Gera Workineh
Keyword(s):  
Rural Areas ◽  
Water Surface ◽  
Electrical Power ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Photovoltaic Panel ◽  
Solar Photovoltaic System ◽  
Weighted Values

The majority of the Ethiopian population lives in rural areas and uses wood for domestic energy consumption. Using wood and fuel for domestic uses accounts for deforestation and health problems, which is also dangerous for the environment. The Ethiopian government has been planning to generate power from available renewable resources around the community. Therefore, determining the water surface potential of energy harvesting with floating solar photovoltaic system by using geographic information system is used to support decision-makers to use high potential areas. To identify useable areas for floating solar photovoltaic, factors that affect the usability were identified and weighted by using Analytical Hierarchy Processes. Thus, weighted values and reclassified values were multiplied to do the final usability map of floating solar photovoltaic with ArcGIS software. Due to the improper location of floating solar photovoltaic, efficiency is dropped. Therefore, the objective of this study was to identify the most usable surface of water bodies in Amhara regional, state irrigation dams for generating electrical power. The usability of the water surface for floating solar photovoltaic power plant was 63.83%, 61.09%, and 57.20% of Angereb, Rib, and Koga irrigation dams, respectively. The majority of the usable areas were found in the middle of the water surface. Nature water surface is a key factor in generating solar energy; it affects the floating solar photovoltaic and irradiance coming to the solar photovoltaic panel surface.

A novel way of parameter estimation of solar photovoltaic system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Bisht ◽  
Afzal Sikander
Keyword(s):  
Parameter Estimation ◽  
Mean Absolute Error ◽  
Optimization Technique ◽  
Absolute Error ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Solar Panels ◽  
Content Type ◽  
Solar Photovoltaic System

Purpose This paper aims to achieve accurate maximum power from solar photovoltaic (PV), its five parameters need to be estimated. This study proposes a novel optimization technique for parameter estimation of solar PV. Design/methodology/approach To extract optimal parameters of solar PV new optimization technique based on the Jellyfish search optimizer (JSO). The objective function is defined based on two unknown variables and the proposed technique is used to estimate the two unknown variables and the rest three unknown variables are estimated analytically. Findings In this paper, JSO is used to estimate the parameters of a single diode PV model. In this study, eight different PV panels are considered. In addition, various performance indices, such as PV characteristics, such as power-voltage and current-voltage curves, relative error (RE), root mean square error (RMSE), mean absolute error (MAE) and normalized mean absolute error (NMAE) are determined using the proposed algorithm and existing algorithms. The results for different solar panels have been obtained under varying environmental conditions such as changing temperature and constant irradiance or changing irradiance and constant temperature. Originality/value The proposed technique is new and provides better results with minimum RE, RMSE, NMAE, MAE and converges fast, as depicted by the fitness graph presented in this paper.

scholarly journals Determinants of Value Chain Analysis of Solar Photovoltaic Industry in Kathmandu Valley

2018 ◽  
Vol 1 (2) ◽  
pp. 153
Author(s):  
Anita Rizal
Keyword(s):  
Value Chain ◽  
Distribution Channel ◽  
Photovoltaic System ◽  
Kathmandu Valley ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Value Chain Analysis ◽  
Factors Influencing ◽  
Chain Analysis ◽  
Solar Photovoltaic System

<p>The objective of this paper is to find out key factors influencing target market of solar photovoltaic industry; and identify ways on how to reduce cost of sales in solar photovoltaic industry in Nepal. It also analyzes better ways of marketing solar photovoltaic system in current market. The conceptual model taken for this study comprises of Porter’s (1985) value chain analysis theory which has identified two sequences of activities i.e. primary and support activities. Exploratory research has been used where primary data is collected through structured questionnaire distributed among 120 individual sellers of solar photovoltaic system inside Kathmandu valley. The data collected are analyzed using SPSS 16.0 which is coded and tabulated by Microsoft Excel spreadsheet application.</p><p>The result of the analysis of the data shows that factors influencing value chain of solar PV industry are infrastructure (mostly furniture, workshop, showroom, capital and human resources in less number) needed to set up a company, imported from different countries, distribution channel, subsidy claim, marketing medium and after sales service. Few companies import huge quantity of solar related products. Most of the companies targeting direct customer don't claim subsidy directly rather they claim via other pre-qualified companies. Also these companies consider radio advertisement to reach customers at large rather than any other medium of marketing. These companies value warranty and repair &amp; maintenance services as an after sales service. Although few of the solar photovoltaic systems are manufactured in Nepal, they prefer to import these items rather than promote Nepal made products. Thus, these factors have created value from import to service to the customers.</p><p>Journal of Business and Social Sciences Research, Vol. 1, No. 2, pp. 153-168</p>

Output Power Comparison of TCT & SP Topologies for Easy-to-Predict Partial Shadow on a 4×4 PV Field

2014 ◽  
Vol 612 ◽  
pp. 71-76 ◽  
Author(s):  
Smita Pareek ◽  
Ratna Dahiya
Keyword(s):  
Output Power ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Power Comparison ◽  
Partial Shading ◽  
Pv Array ◽  
Solar Photovoltaic System

The power generated by solar photovoltaic system depends on insolation, temperature and shading situation etc. These days’ solar PV arrays are mainly building integrated. Therefore PV array are often under partial shadow. The feature of these shadows can be either easy-to-predict (like neighbour’s chimney, nearby tree or neighbouring buildings) or difficult-to-predict (passing clouds, birds litter).Thus output power obtained by PV arrays decreases in a considerable manner. In this paper, output powers, currents and voltages for SP & TCT topologies are calculated for different patterns of easy-to-predict partial shading conditions on a 4×4 PV field.

Creation of Financial and Environmental Values With Solar Photovoltaic Projects While Managing Risks

2020 ◽  
Vol 9 (2) ◽  
pp. 13-26
Author(s):  
Shantha Indrajith Hikkaduwa Liyanage ◽  
Fulufhelo Godfrey Netswera ◽  
Shivajyoti Pal ◽  
Isaac Nthomola
Keyword(s):  
Solar Energy ◽  
Net Present Value ◽  
Economic Value ◽  
Value Added ◽  
Photovoltaic System ◽  
Energy Market ◽  
Solar Photovoltaic ◽  
Low Carbon ◽  
Solar Photovoltaic System ◽  
The University

This study investigates 200 kWp roof-mounted solar photovoltaic system in a country where there is no legal, policy, and institutional framework to de-risk the solar energy market but present naturally conducive environment in the sun-drenched semi-arid country. The analysis of quantitative and qualitative data subject to interpretivist and positivist approaches paves the way to find out that the university, though created financial and environments values, has not addressed the risk associated with illiquid capital intensive investment and conventional financial metrics such as net present value, internal rate of return. Hence, it is recommended to manage the risk with four strategies including maintaining economic value added at 5% or more, leveraging the investment, and withdrawing a part of equity for reinvesting in diversified investment. The findings are significant for low carbon investors to identify opportunities and manage the risk in solar energy market. Energy engineers enable designing a system that meets the fundamentals of the business and environmental value.

scholarly journals Solar Photovoltaic System in India: Challenges and Barriers

2021 ◽  
Author(s):  
Pushpendra Arya
Keyword(s):  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Solar Photovoltaic System

The paper is all about the cureent scenario of solar ov system in India it withdraw its adaptability and challenge and comprises of solution regarding barriers of Solar PV technology

Comparison of an Engineering Model and a Statistical Model to Estimate the Performance of a Solar Photovoltaic System

2015 ◽  
Author(s):  
Nelson Fumo ◽  
Juan Carlo Zambrano ◽  
Vicente Bortone
Keyword(s):  
Statistical Model ◽  
Multiple Linear Regression Model ◽  
Photovoltaic System ◽  
Design Stage ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Engineering Model ◽  
Pv System ◽  
Solar Pv System ◽  
Solar Photovoltaic System

At the design stage of a solar photovoltaic (PV) system, equipment’s information from the specifications provided by manufacturers is the most reliable information. Parameters used to describe the performance are obtained under laboratory conditions, but the information is the appropriate for estimating the performance of the components of the solar PV system. When a system is in operation, the engineering models used at the design stage can also be used to predict the performance of the system. However, under real conditions, many factors can affect the performance which suggests that statistical models developed with field data could give better results to predict the performance of a solar PV system. Experimental data used in this study correspond to the energy generated by a 7.5 kW PV system installed to supply electricity to a research house at the University of Texas at Tyler, as well as the outdoor temperature and global horizontal solar radiation (as energy) recorder on site. The data is used to develop a multiple linear regression model and compare this model with an engineering model. Results show that the statistical model has a better quality than the engineering model.

Estimation and Performance analysis of a 15kW Off-Grid Solar PV System

2018 ◽  
Vol 7 (2.25) ◽  
pp. 143
Author(s):  
Bhuvaneswari C ◽  
Vijay B ◽  
Natarajan P
Keyword(s):  
Tamil Nadu ◽  
Photovoltaic System ◽  
Performance Ratio ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Capacity Utilisation ◽  
And Performance ◽  
Solar Photovoltaic System ◽  
Photovoltaic Plant

The primary and most universal measure of all kinds of work by nature is the energy. Coal, Natural gas, Oil and Nuclear energy are net energy yielders and primary sources of energy. The intent of this paper is to assess the performance of 15KW solar power plant installed in Priyadarshini Engineering College (PEC) campus, Vaniyambadi, Vellore District, Tamil Nadu. A 15 kW solar PV plant has been installed to supply electricity to the internet laboratory and library (lighting load). The results obtained from monitoring a 15 KW Solar Photovoltaic system installed on a library roofing of 10m height building. The system was monitored between (July-Sep2016) from 9.30AM to 4.30PM for three days in a week from Monday to Wednesday. The results can be used to provide manufacturers to develop their products and enhance the knowledge in the future in order to improve the design of the off-grid solar photovoltaic system, return of investment during these years. This work focuses on the performance of the solar photovoltaic plant (July-Sep2016) monthly average demand and annual performance parameters, Efficiency, fill factor,capacity Utilisation factor and the characteristics have been plotted in a graph. The graph is drawn between Generated power vs consumed power. The annual yield of the solar photovoltaic plant ranged from 6500-7000 Kwh and performance ratio of 78%. It has capacity Utilisation factor with 6.97%. 

scholarly journals An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network

2020 ◽  
Vol 10 (1) ◽  
pp. 630-641 ◽  
Author(s):  
Debasish Pattanaik ◽  
Sanhita Mishra ◽  
Ganesh Prasad Khuntia ◽  
Ritesh Dash ◽  
Sarat Chandra Swain
Keyword(s):  
Solar Power ◽  
Weather Condition ◽  
Photovoltaic System ◽  
Design Stage ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Time Data ◽  
Pv System ◽  
Simulink Model ◽  
Solar Photovoltaic System

AbstractAnalysing the Output Power of a Solar Photo-voltaic System at the design stage and at the same time predicting the performance of solar PV System under different weather condition is a primary work i.e. to be carried out before any installation. Due to large penetration of solar Photovoltaic system into the traditional grid and increase in the construction of smart grid, now it is required to inject a very clean and economic power into the grid so that grid disturbance can be avoided. The level of solar Power that can be generated by a solar photovoltaic system depends upon the environment in which it is operated and two other important factor like the amount of solar insolation and temperature. As these two factors are intermittent in nature hence forecasting the output of solar photovoltaic system is the most difficult work. In this paper a comparative analysis of different solar photovoltaic forecasting method were presented. A MATLAB Simulink model based on Real time data which were collected from Odisha (20.9517∘N, 85.0985∘E), India. were used in the model for forecasting performance of solar photovoltaic system.

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