scholarly journals Assessment of Solar Photovoltaic Water Pumping of WASA Tube Wells for Irrigation in Quetta Valley Aquifer

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6676
Author(s):  
Muhammad Saydal Khan ◽  
Ali Tahir ◽  
Imtiaz Alam ◽  
Sohail Razzaq ◽  
Muhammad Usman ◽  
...  

This paper investigates the impact of tube wells on the discharge and water table of the Quetta Valley aquifer and conducts a financial analysis of the solar photovoltaic water pumping system (SPVWP) in comparison with a typical pumping system for the Water and Sanitation Agency of Quetta’s (WASA) tube wells. Quetta Valley is dependent on groundwater as surface resources are on decline and unpredictable. The population of this city has exponentially increased from 0.26 million in 1975 to 2.2 million in 2017 which has put a lot of pressure on the groundwater aquifer by installing more than 500 large capacity tube wells by WASA and Public Health Engineering (PHE) departments in addition to thousands of low-capacity private tube wells. The unprecedented running of these wells has resulted in drying of the historical Karez system, agricultural activities, and the sharp increase in power tariffs. There are 423 tube wells in operation installed by WASA in addition to PHE, Irrigation and Military Engineering Services (MES), which covers 60% of the city’s water demand. The results will be beneficial for organizations and positively impact the operation of these wells to meet public water demand. For the two zones, i.e., Zarghoon and Chiltan in Quetta Valley, recommendations are given for improved water management.

Author(s):  
Santosh S. Raghuwanshi ◽  
Vikas Khare

<p>Solar photovoltaic systems convert energy of light directly into electrical<br />energy. This work presents, a process to compute the required size of the<br />stand-alone solar photovoltaic generator based water pumping system<br />for an existing area. In addition solar photovoltaic generator is<br />connecting voltage source inverter fed vector controlled induction<br />motor-pump system. Perturb and observe are used for harvesting<br />maximum power of PV generator in between buck-boost DC converter<br />and inverter system. In this paper system result is validated by fuzzy<br />logic system and compare with variable frequency drives based PI<br />controllers, driving motor-pump system. The operational performance<br />at 60 m head, VFD based controllers in terms overshoot and setting time<br />and also analysis performance of motor-pump set under different<br />weather conditions. By assessment of system we find that speed and<br />torque variation, overshoot and settling time is more with PI controller,<br />Fuzzy logic controller (FLC) performance have dominance to VFD<br />based PI controller.</p>


Author(s):  
V Mounika and Tejavath Suhasini

This Paper Presents Novel DC-DC Converter Based Closed Loop Control of BLDC Motor for SPV fed Water Pumping System Solar Photovoltaic (SPV) Array fed Water pumping System Utilizing Buck-boost DC-DC Converter in order to extract the maximum available power from Solar system. Solar energy has the greatest availability compared to other energy sources. For such solar PV systems, maximum power point tracking control is preferred for efficient operation. This concept is dealing with INC method which is one of the MPPT methods. This study deals with a buck–boost converter controlled solar photovoltaic (SPV) array fed water pumping in order to achieve the maximum efficiency of an SPV array and the soft starting of a permanent magnet brushless DC (BLDC) motor. The current sensors normally used for speed control of BLDC motor are completely eliminated. The speed of BLDC motor is controlled through the variable DC-link voltage of a voltage-source inverter (VSI). The VSI is operated by fundamental frequency switching, avoiding the losses due to high-frequency switching, in order to enhance the efficiency of the proposed system.


2018 ◽  
Vol 19 (2) ◽  
pp. 472-481 ◽  
Author(s):  
Bouach Ahcene ◽  
Benmamar Saadia

Abstract The energy overconsumption at drinking-water pumping stations creates considerable energy losses. For this reason we have developed an NNGA tool of pumping management which optimizes the consumed energy by the pumping system with respect to the hydraulic functioning conditions in the distribution tank. This tool includes two models: a forecasting model for drinking water demand based on artificial neural networks and an optimization model using genetic algorithms. The results of the NNGA tool were compared with two pumping plans: the plan based on the pumping regulation model, and the plan used by the company of water and sewage of the city of Algiers. The analysis result was done with the help of performed indicators that we have developed and which enable the evaluation and diagnosis of the energetic function's system.


2019 ◽  
Vol 142 (2) ◽  
Author(s):  
Arunendra K. Tiwari ◽  
Vimal C. Sontake ◽  
Vilas R. Kalamkar

Abstract Lower operating temperatures of the photovoltaic (PV) cells increase the performance and efficiency of any PV installation. The efficiency of solar photovoltaic water pumping system (SPVWPS) decreases considerably with the increase in the PV cell temperature. In this paper, the performance of a 2 hp SPVWPS has been investigated experimentally, for the influence of panel cooling, using water. The experimental observations have been made under climatic conditions of Visvesvaraya National Institute of Technology, Nagpur campus, India, during the year 2018. The performance was evaluated under four different cases: (a) without panel cooling, (b) with water cooling on the top of the panel surface, (c) with water cooling on beneath the surface of the panel, and (d) with water cooling beneath the surface of the panel using jute. The effect of different cooling cases on the various performance parameters such as discharge, power output, pump efficiency, and system efficiency has been analyzed and discussed. The results showed that the water cooling on the top of the panel and beneath the surface of the panel with jute has considerable influence on performance enhancement when compared with other cases.


Mathematics ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 1123 ◽  
Author(s):  
Arfaoui ◽  
Rezk ◽  
Al-Dhaifallah ◽  
Elyes ◽  
Abdelkader

Renewable energy is an attractive solution for water pumping systems particularly in isolated regions where the utility grid is unavailable. An attempt is made to improve the performance of solar photovoltaic water pumping system (SPVWPS) under partial shading condition. Under this condition, the power versus voltage curve has more than one maximum power point (MPP), which makes the tracking of global MPP not an easy task. Two MPP tracking (MPPT) strategies are proposed and compared for tracking MPP of SPVWPS under shading condition. The first method is based on the classical perturb and observe (P&O) and the other method is based on a Salp Swarm Algorithm (SSA). Based on extensive MATLAB simulation, it is found that the SSA method can provide higher photovoltaic (PV) generated power than the P&O method under shading condition. Consequently, the pump flowrate is increased. But, under normal distribution of solar radiation, both MPPT techniques can extract the maximum power but SSA is considered a time-consuming approach. Moreover, SSA is compared with particle swarm optimization (PSO) and genetic algorithm (GA). The obtained results ensure the superiority of SSA compared with PSO and GA. SSA has high successful rate of reaching true global MPP.


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