scholarly journals Off-Grid Solar PV Power Generation System in Sindh, Pakistan: A Techno-Economic Feasibility Analysis

Processes ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 308 ◽  
Author(s):  
Li Xu ◽  
Ying Wang ◽  
Yasir Solangi ◽  
Hashim Zameer ◽  
Syed Shah

The off-grid solar photovoltaic (PV) system is a significant step towards electrification in the remote rural regions, and it is the most convenient and easy to install technology. However, the strategic problem is in identifying the potential of solar energy and the economic viability in particular regions. This study, therefore, addresses this problem by evaluating the solar energy potential and economic viability for the remote rural regions of the Sindh province, Pakistan. The results recommended that the rural regions of Sindh have suitable solar irradiance to generate electricity. An appropriate tilt angle has been computed for the selected rural regions, which significantly enhances the generation capacity of solar energy. Moreover, economic viability has been undertaken in this study and it was revealed that the off-grid solar PV power generation system provides electricity at the cost of Pakistani Rupees (PKR) 6.87/kWh and is regarded as much cheaper than conventional energy sources, i.e., around PKR 20.79/kWh. Besides, the off-grid solar PV power generation system could mitigate maximum CO2 annually on the condition that all of the selected remote rural regions adopt the off-grid solar PV system. Therefore, this study shall help the government to utilize the off-grid solar PV power generation system in the remote rural regions of Pakistan.

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 139 ◽  
Author(s):  
Nafis Subhani ◽  
Ramani Kannan ◽  
Md Mahmud ◽  
Mohd Romlie

In this paper, the performance of a new Z-source inverter (ZSI)-based single-stage power conditioning system (PCS) is analyzed for a standalone photovoltaic (PV) power generation system. The proposed ZSI-based PCS includes two main parts: one is the input from PV units and the other is the ZSI. In this work, a new topology, termed the switched inductor-assisted strong boost ZSI (SL-SBZSI), is introduced for improving the performance of the PCS. The proposed topology shows high boosting capability during the voltage sag in PV units due to variations in solar irradiation and temperature. Another key advantage is the reduced capacitor voltage stress and semiconductor switch voltage stress of the inverter bridge, which ultimately minimizes the size and cost of the single-stage PCS. The proposed ZSI topology falls under the doubly grounded category of inverter by sharing the common ground between the input and output. This is an additional feature that can minimize the leakage current of PV units at the ac output end. The operational principles, detailed mathematical modeling, and characteristics of the proposed SL-SBZSI for a standalone photovoltaic (PV) power generation system is presented in this paper for analyzing performance. The simulation results, which are performed in MATLAB/Simulink, demonstrate the improved performance of the proposed SL-SBZSI for the standalone PV system. The performance of the proposed topology is also evaluated through an experimental validation on a laboratory-based PV system.


Author(s):  
Ramzi Alahmadi ◽  
◽  
Kamel Almutairi ◽  

With the increasing global concerns about greenhouse gas emissions caused by the extensive use of fossil fuels, many countries are investing in the deployment of clean energy sources. The utilization of abundant solar energy is one of the fastest growing deployed renewable sources due its technological maturity and economic competitivity. In addition to report from the National Renewable Energy Laboratory (NREL), many studies have suggested that the maturity of solar energy systems will continue to develop, which will increase their economic viability. The focus of analysis in this paper is countries with hot desert climates since they are the best candidates for solar energy systems. The capital of Saudi Arabia, Riyadh is used as the case study due to the country’s ambitious goals in this field. The main purpose of this study is to comprehensively analyze the stochastic behavior and probabilistic distribution of solar irradiance in order to accurately estimate the expected power output of solar systems. A solar Photovoltaic (PV) module is used for the analysis due to its practicality and widespread use in utility-scale projects. In addition to the use of a break-even analysis to estimate the economic viability of solar PV systems in hot desert climates, this paper estimates the indifference point at which the economic feasibility of solar PV systems is justified, compared with the fossil-based systems. The numerical results show that the break-even point of installing one KW generation capacity of a solar PV system is estimated to pay off after producing 16,827 KWh, compared to 15,422 KWh for the case of fossil-based systems. However, the increased cost of initial investment in solar PV systems deployment starts to be economically justified after producing 41,437 KWh.


2011 ◽  
Vol 347-353 ◽  
pp. 178-182 ◽  
Author(s):  
Xiao Li Xu ◽  
Huan Wang

With the widening application of solar PV power generation, a way of solar utilization, the safe operation of PV power generation system is increasingly valued. To assure the operating safety and reliability of PV power plant, monitoring system has to be installed to identify and eliminate faults of the plant immediately. Solar remote monitoring system in the architecture of internet of things (IoT) is comprised of sensing layer, information transmission layer and application layer. The sensing layer consists of sensors for monitoring environment, PV module and inverter; the information transmission layer consists of ZigBee access unit, access network, WEB server and Internet; and the application layer consists of IoT application fault diagnosis module. The remote monitoring system provides scientific decision-making reference to the safe operation and daily maintenance and management of PV power generation system through data acquisition, fusion, analysis and evaluation.


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