Water Pumping System Research Articles

Demonstration of a remote-controlled hybrid wind–solar water pumping system

Demonstration of a remote-controlled hybrid wind–solar water pumping system

Thermal performance of Oldroyd-B hybrid nanofluid in solar energy-based water pumping systems and entropy generation minimization

The growing need for reliable energy supply to enhance productivity in industrial and residential sectors underscores the importance of conserving solar energy. This can be achieved through measures such as optimizing solar collector coatings and optical heat processes. The environmental risks posed by fossil fuels, like coal and diesel, for electricity generation, further highlight the urgency of seeking alternative solutions. Solar energy has emerged as a highly promising option, capturing global attention for its potential to improve productivity and sustainability. The study focuses on examining aluminum alloy-titanium alloy/ethylene glycol hybrid nanofluid in the flow of non-Newtonian Oldroyd-B through a parabolic trough surface collector located in the solar water pumps (SWP). The Galerkin weighted residual method was utilized to solve the group of equations that describe momentum, energy, and entropy generation. The findings show that the hybrid nanofluid leads to better thermal radiative performance compared to the ordinary nanofluid. Therefore, the implications of these findings are substantial, particularly in the fields of thermal engineering and renewable energy. By offering insights into the efficient utilization of solar energy in water pumping systems and the reduction of entropy generation, this research has the potential to drive innovations that enhance the sustainability and performance of such systems.

Research on energy consumption analysis of air conditioning and refrigeration equipment based on perceptron model

Abstract This paper mainly studies the energy consumption of air conditioning and refrigeration system from the perspective of the dynamic operation of air conditioning systems and selects the energy consumption of a chiller system, cooling tower system, chilled water pump system and fan coil system, which affect the energy consumption of air conditioning system, as model variables. An integrated learning method based on a multilayer perceptron is proposed to integrate spatial features with temporal features, and a spatio-temporal prediction model for air conditioning energy consumption analysis is established under the Seq2Seq framework, and then the input curves of the four variables with load change under the optimal operation of the air conditioning system under dynamic load are derived. The results show that the deviation between the simulated value and the measured, calculated value of the energy consumption analysis model of air conditioning and refrigeration equipment based on the multilayer perceptron is within 5%, which can effectively and accurately predict and reduce air conditioning energy consumption by 15% to 20%. The maximum energy-saving efficiency can reach 30% when the air conditioning system is in optimal operation under dynamic load, and the energy-saving effect of the chiller, chilled water pump and cooling water pump is relatively significant. The research results of this paper have a certain reference value for reducing the energy consumption of air conditioning systems in practice.

Performances Analysis and Comparison of Active and Hybrid Harmonic Filter in Photovoltaic Water Pumping System

As an agriculturally based country, many rivers pumping stations are implemented in Myanmar. Currently, these pumping stations are operated with utility supply or diesel engines. For reliable energy supply and energy cost saving, the solar powered river pumping stations are now carried out in Myanmar. Most of these pumping stations are located at the dry zones especially at Magway, Mandalay and Sagaing Divisions. The main problem with solar powered river pumping station is the harmonic induced due to DC/DC boost converter and three phase inverters. Harmonics are the important problem in solar river water pumping system as they can shorten the life span of pumping motors and vibrations. Thus, harmonic filters become the main function of these system. In this research, the harmonic mitigation for Kanni river pumping system is executed using active and hybrid harmonic filter and their performances are compared. In this work, solar river water pumping system is designed firstly, and then modelled and simulated using MATLAB/Simulink. Harmonic contents and mitigation performances of each filter are analysed using Fast Fourier Transform (FFT) tool.

Predictive model of pump energy consumption based on image feature extraction and instance-based transfer learning

The energy consumption of pumps for water supply accounts for a high proportion of the total global energy consumption. The analysis of the pump's energy consumption factors and the construction of prediction models play a crucial role in carbon emission reductions throughout the water supply process. However, difficulties in accurately constructing input features under complex variables and the scarcity and anomalies of monitoring data during system operation pose great challenges to accurate energy consumption prediction. In order to address this issue, a water pump energy consumption prediction method based on image feature extraction and instance transfer is proposed, using the water pump systems installed in two residential communities as the research objects. Firstly, a novel image-based correlation determination method for feature engineering was introduced and validated on a sufficient dataset. Subsequently, in the context of poor data transfer learning, a water pump energy consumption prediction model, named Two-stage TrAdaBoost.R2 (TSTR), was established by incorporating the image correlation determination method and fine-tuning the model parameters using the particle swarm optimization algorithm to enhance prediction accuracy. The experimental results demonstrated the effectiveness of the proposed image-based correlation determination method, showing a 5.49%–44.33% improvement in the coefficient of variation of root mean square error (CV-RMSE) prediction accuracy compared to classical time-series correlation determination methods. Furthermore, in the poor data transfer prediction experiment, the TSTR-based model achieved 0.90% and 20.22% higher CV-RMSE prediction accuracy compared to two comparative models. These findings confirmed the effectiveness of instance transfer learning methods in poor data scenarios and provided valuable insights for selecting input feature construction methods under complex variables.

Advancements in Solar Panel Technology in Civil Engineering for Revolutionizing Renewable Energy Solutions—A Review

Globally, solar energy has become a major contributor to the rapid adoption of renewable energy. Significant energy savings have resulted from the widespread utilization of solar energy in the industrial, residential, and commercial divisions. This review article comprises research conducted over the past 15 years (2008–2023), utilizing a comprehensive collection of 163 references. Significantly, a considerable focus is directed towards the period from 2020 to 2023, encompassing an extensive investigation into the latest developments in solar panel technology in civil engineering. The article examines the incorporation of solar panels into building designs and addresses installation-related structural considerations. In addition, the present review examines the applications of solar panels in terms of innovative infrastructure development applications of solar panels, such as photovoltaic parking lot canopies and photovoltaic noise barriers, which contribute to improved energy efficiency. It also emphasizes their role in water management systems, including water treatment plants, water pumping and irrigation systems, energy-efficient solar desalination technologies, and promoting sustainable water practices. In addition, this study examines how solar panels have been incorporated into urban planning, including smart cities and public parks, thereby transforming urban landscapes into greener alternatives. This study also examined the use of solar panels in building materials, such as façade systems and solar-powered building envelope solutions, demonstrating their versatility in the construction industry. This review explores the diverse applications of solar energy, which promotes sustainable practices in various industries. Owing to the ongoing research, solar energy holds great promise for a greener and cleaner future.

Automatic Water Pumping and Quality Monitoring System

This project presents an innovative solution for automatic water pumping and real-time quality monitoring using the Blynk platform. It's designed to enhance water quality and pumping efficiency, ideal for hydroponics, aquaponics, and irrigation. Key components include an Arduino Uno, ultrasonic sensor for liquid levels, a relay for pump control, and a pH sensor. The system maintains water levels within defined thresholds and monitors pH levels, activating the pump when needed. Keywords: Automatic water pumping; Quality monitoring; Arduino UNO; pH sensor; Blynk platform

BLDC Motor Driven Solar PV Array Fed Water Pumping System Employing Zeta Converter

Abstract—This paper proposes a simple, cost effective and efficient brushless DC (BLDC) motor drive for solar photovoltaic (SPV) array fed water pumping system. A zeta converter is utilized in order to extract the maximum available power from the SPV array. The proposed control algorithm eliminates phase current sensors and adapts a fundamental frequency switching of the voltage source inverter (VSI), thus avoiding the power losses INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (IJSREM) VOLUME: 07 ISSUE: 09 | SEPTEMBER - 2023 SJIF RATING: 8.176 ISSN: 2582-3930 © 2023, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM25857 | Page 2 due to high frequency switching. No additional control or circuitry is used for speed control of the BLDC motor. The speed is controlled through a variable DC link voltage of VSI. An appropriate control of zeta converter through the incremental conductance maximum power point tracking (INC-MPPT) algorithm offers soft starting of the BLDC motor. The proposed water pumping system is designed and modeled such that the performance is not affected under dynamic conditions. The suitability of proposed system at practical operating conditions is demonstrated through simulation results using MATLAB/ Simulink followed by an experimental validation.

Sliding mode controller with fuzzy supervisor for MPPT of photovoltaic pumping system

<p>This paper focuses on a photovoltaic system for pumping water. The control strategy for this water pumping system is based on Takagi-Sugeno type fuzzy supervisors and sliding mode controller. The first generates the maximum power point current under varying climatic condition whereas the second allows tracking the reference signal produced by the fuzzy supervisor. The system includes a photovoltaic generator (PVG) followed by a DC-DC Converter, DC bus, an AC/DC inverter which is connected to the induction motor. This latter is coupled with a centrifuge pump. The induction motor is driven based on field-oriented control strategy. The Takagi-Sugeno type fuzzy supervisor predicts, depending on the variations of climatic variables such as irradiation and temperature, the optimum operating point for the photovoltaic source. The simulation results show the effectiveness of the proposed approach in transient and stationary regimes for different values of climatic variables.</p>

Remote Data Acquisition System for Photovoltaic Water Pumping System in Sukkar, Pakistan

Access to high-speed internet connectivity is limited in Sukkur, Pakistan, making alternative communication technologies essential for real-time monitoring and control of photovoltaic (PV) water pumping systems. This research paper presents the design, implementation, and evaluation of a GSM-based remote data acquisition and logging system for a PV water pumping system in Sukkur. Leveraging abundant sunlight in the region, the proposed system utilizes 2G GSM technology for communication between the PV system and the remote monitoring station. A network of sensors captures key parameters, and the acquired data is processed, stored, and transmitted using 2G GSM, enabling remote access and real-time monitoring from any location with GSM coverage. The implemented system incorporates an Arduino microcontroller for core operation and employs an SD card for data logging. Real-time data logging allows for detailed tracking and analysis of system performance, facilitating troubleshooting and optimization. Data stored on the SD card can be transferred to a computer for further analysis using data analysis software or custom applications, providing meaningful representation of trends and insights into system operation. The system also features an OLED display for real-time feedback on essential parameters, including solar irradiance, water level, and pump status. Furthermore, the integration of user prompts and GSM communication enables remote monitoring and control, empowering users to inquire about system status and remotely activate or deactivate the pump through SMS commands. The system offers a robust and adaptable solution for efficient management and maintenance of the solar-powered water pumping system in Sukkur, Pakistan.

The Systems Design and Construction for Solar Agricultural Water Pumps

Abstract: One of the biggest issues in the world's energy system is the scarcity of energy resources and the horrifying pollution that results from their widespread usage, which calls for a solution to the long-term energy crisis that is currently taking place. Since the sun is the most powerful source of energy, scientists have been trying to figure out why solar energy cannot be used to create electricity for so long. Solar energy may be produced from sunlight either directly using photovoltaic (PV) technology or indirectly using concentrated solar power. This essay addresses a topic in agriculture where a specific application has been highlighted as having the potential to effectively alleviate the farming industry. In order to demonstrate how the model will really function in the irrigation industry in the near future, a solar water pumping system is explained along with the creation of a hardware model. In order to be further implemented for large-scale use, a micro model is tested with and proven here

Reliability and performance evaluation of a solar PV-powered underground water pumping system

The operation and effectiveness of a solar-powered underground water pumping system are affected by many environmental and technical factors. The impact of these factors must be investigated to be considered when developing these systems and to ensure their dependability. This study evaluated the dependability and performance of photovoltaic water pumping system (PVWPS) under real operating conditions by examining the effects of solar irradiance, panels’ temperature, and components' efficiency. From December 2020 to June 2021, experiments were conducted on a 10 hp PVWPS located in Bani Salamah, Al-Qanater-Giza Governorate, Egypt, at latitude 30.3° N, longitude 30.8° E, and 19 m above sea level. The irradiance values reached 755.7, 792.7, and 805.7 W/m2 at 12:00 p.m. in December, March, and June, respectively. Furthermore, the irradiance has a significant impact on the pump flow rate, as the amount of pumped water during the day reached 129, 164.1, and 181.8 m3/day, respectively. The panels' temperatures rose to 35.7 °C, 39.9 °C, and 44 °C, respectively. It was observed that when the temperature rises by 1 degree Celsius, efficiency falls by 0.48%. The average efficiency of photovoltaic solar panels reached its highest value in March (13.8%) and its lowest value in December (13%).

Speed sensorless Adaptive Power Control for photovoltaic-fed water pump using Extended Kalman–Bucy filter

In this study, a speed sensorless control method is proposed for a photovoltaic water-pump system operating under variable atmospheric conditions. The developed system not only continuously determines the maximum power point of the photovoltaic system but also generates a reference speed appropriate for each power value produced. The MATLAB/Simulink model of the driver system incorporates Adaptive Power Control, Direct Torque Control, a 3-phase induction motor, and the power plant. The determination of the maximum power point of the photovoltaic system and the input reference speed information for the Direct Torque Control under varying atmospheric conditions is accomplished through the application of the Adaptive Power Control algorithm. Notably, the control process operates as a closed-loop system without the requirement of a speed sensor. Instead, the Extended Kalman–Bucy estimator is employed for speed estimation. Empirical evaluation of the proposed method was conducted under constant temperature conditions and varying irradiance values. The results clearly illustrate the consistent operation of the motor, with a constant torque production aligned with each identified maximum power point corresponding to distinct irradiance levels. The control system demonstrates robust performance and operational efficiency across the entire range of operating points. The efficacy of the Kalman estimator in monitoring the reference speed, the utilization of a single solar radiation sensor, and the successful implementation of sensorless operation are significant advantages of the developed adaptive approach. The demonstrated performance of the proposed system showcases its potential for enhancing the efficient and reliable control of photovoltaic water-pump systems in real-world applications.

Mr Design and Analysis of Fully Solar driven Mini-Food Processing Unit

This paper comes with an optimized design to drive the mechanical agricultural processing units associated with the existing underutilized solar photovoltaic (SPV) power, available at solar water pumping (SWP) system. This enables energy independent solar driven mini-processing units. The fabricated system is designed to operate at a low cost, as energy storage system is not being utilized, and it aims to retain the DC power supplied by SPV via DC-DC power conversion stage. The PV system is integrated with a power electronic interface to supply power BLDC motor drive coupled with wet grinder. The developed hardware was tested under different load conditions and data was analyzed through graphs. The experimentation is carried out in fabricated setup to validate the design and results indicates the operational efficacy. Additionally, the impact of weather intermittency is considered on proposed system to confirm its effectiveness. This proposed system is well suited for rural areas to reduce the grid dependency and boost rural economy utilizing the under tapped SPV power.

IS SOLAR AND BIOGAS A BETTER CHOICE THAN ELECTRICITY AND DIESEL?

This study measures the cost-effectiveness of alternate energy sources for irrigation in Pakistan. Primary data has been collected from eight districts of three provinces of Pakistan. Overall, 223 farmers were personally interviewed out of which, 58 farmers were using electric tube-well, 95 diesel tube-well, and 35 each for solar and biogas-operated tube-wells. The cost of extracting one cubic meter of water through electricity, diesel, subsidized electricity, biogas, and solar was $0.180, $0.013, $0.011, $0.010, and $0.005, respectively. The paper concludes that water pumping using alternative energy sources is cost-effective. Major constraints to adopting solar-powered water pumping systems were the high upfront cost, the lack of awareness, and the lack of available spare parts. The constraints to adopting biogas were difficulty operating and managing through winter.

A novel controller for PV-fed water pumping optimization system driven by an 8/6 pole SRM with asymmetrical converter

A locally installed photovoltaic (PV)-powered motor pump is a viable solution for a water pumping system (WPS) in rural locations. In this study, a single-stage, PV-fed, SRM-powered WPS was investigated and realized using a speed sensorless sliding mode controller (SMC)-based direct torque control (DTC). As a result, no additional DC-DC converter was required for maximum power absorption from the PV source. By utilizing a novel high-side switch asymmetric converter with a hybrid Perturb and Observe–Grey Wolf optimization (POGWO) method integrated with a DC-link voltage controller, an efficient single-stage conversion was achieved. The robustness of the proposed integrated control is presented by comparing it with a Genetic Algorithm and Particle Swarm Optimization (PSO). Extensive results using MATLAB SIMULINK are shown to validate the proposed system in both steady-state and transient conditions for various partial shading conditions.

Modification of a dual‐chamber denitrification bioreactor with a surface water pumping system

AbstractDenitrification bioreactors are an edge‐of‐field conservation practice being implemented to reduce nonpoint nitrogen pollution to downstream waterbodies. In the Midwestern region of the United States, these bioreactors are commonly used for the treatment of nitrate‐laden subsurface drainage systems. Innovative strategies will be needed to reach the nutrient reduction goals established; here, a typical denitrification bioreactor was retrofitted with a supplemental surface water pumping system to enhance the bioreactor use and performance. Potential benefits of the pumped bioreactor system include extended treatment beyond the typical drainage season, increased nitrate mass removal, extended bioreactor lifespan, and extended applications of the bioreactor such as treatment of surface waters. Current challenges associated with pumped bioreactors exist with the timing of the pumping and water source identification. Considerations include the water availability and the potential need to obtain a permit for the water extraction, and nitrate concentration, temperature, and carbon content of the source to be pumped from. Conditions that would promote complete nitrate removal should be avoided. Additional potential applications for these pumped bioreactors have been identified and include, but are not limited to, the treatment of additional surface water sources, irrigation waters, drainage ditches, and groundwater.

Optimal control of a grid-connected photovoltaic agricultural water pumping system

Optimization of water pumping systems has been studied using various techniques which include classical, mathematical, and heuristics. Few studies have explored use of optimal controllers in agricultural water pumping applications. Some studies also ignore the interconnection between the water demand and energy used. Introduction of renewable energy sources such as photovoltaic (PV) necessitates different geographical studies as the intensity of the renewable energy varies widely with location. In this paper, an optimal controller for a batteryless grid-connected photovoltaic system to power water supply system for irrigation purposes was developed. The aim was to minimize the operational cost of grid energy by maximizing utilization of photovoltaic power and minimizing the utilization of grid power. A case study was done at a farm in Kajiado (−1.6033257^{circ } latitude and 36.7863352^{circ } longitude). The farm photovoltaic, grid power, water pumps (underground and booster pump), and storage tanks were modelled into a binary linear programming optimization problem and solved using intlinprog solver on MATLAB. Energy demand data was collected using a three-phase power logger, while water demand data was collected using onsite water meter and stopwatch timer. Photovoltaic power produced was estimated using Photovoltaic Geographical Information System (PVGIS). Simulation results obtained show that the use of an optimal controller results in reduced cost of energy by 44.4%. Better utilization of renewable photovoltaic energy by 24% was observed, and 3.6% more water was pumped.

Performance Analysis of a Quasi-Z-Source Converter for Solar Photo Voltaic System Powered Water Pumping System

The integration of three different DC/DC boost converters is proposed in this study, namely the conventional BC, ZSC, and QZSC, in a solar photovoltaic system (SPVS). The front-end converters are utilized for the integration of the SPVS and a three-phase voltage source inverter (VSI), which powers a Brushless DC Motor (BLDC) motor. Two different algorithms, INC-MPPT and INC-trained ANN (INC-ANN-MPPT), are employed for optimizing power extraction from the SPVS. The back-end converter comprises the VSI, which is controlled by two controllers: a conventional MPP DC link voltage (V dc) reference controller and a closed-loop speed dual-tuned PID (VSDT-PID) controller. Additionally, a trained ANN controller (VSDT-ANN) with hall effect feedback is utilized to optimize the motor speed. The back-end converter effectively regulates the speed of the BLDC motor, regardless of the irradiance level of the SPVS. The proposed conversion system is analyzed in MATLAB/Simulink, considering various system configurations and its performance is compared with an implemented conversion system in terms of power extraction, transient response, settling time, voltage, current, and speed deviations.

Grid-Connected Solar PV Fed BLDC Motor Drive for Water Pumping System

This article proposes a unidirectional power flow of a grid-connected brushless DC motor powered water pumping system fed by a photovoltaic array using a bridgeless power factor corrected (PFC) boost converter. The system consists of a bridgeless PFC converter, a boost converter, and a voltage source inverter to drive a brushless DC motor coupled with a pump. As a backup source, the grid is used. This system allows the water pump to run at maximum capacity regardless of the weather conditions. The grid will provide power if the photovoltaic array is unable to fulfil the required power demand. The unidirectional power flow through a conventional power factor corrected (PFC) boost converter causes conduction loss in the input bridge rectifier, thereby hurting efficiency, power factor, and THD. This paper presents a bridgeless PFC boost converter topology to reduce the conduction losses, thereby increasing the efficiency and obtaining a nearly unity power factor as well as lower total harmonic distortion (THD) of input current. The system is simulated using MATLAB /Simulink. The proposed system’s real-time validation is realized through the OPAL-RT simulator OP5700. The THD results obtained are well within the specified standard of IEC 61000-3-2 and IEEE 519-1992.