Optimization of a PV fed water pumping system without storage based on teaching-learning-based optimization algorithm and artificial neural network

Elkholy, Mahmoud M.; Fathy, Ahmed

doi:10.1016/j.solener.2016.09.022

Cited by 38 publications

(12 citation statements)

References 20 publications

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“…Additionally, their use in irrigation networks has been explored [14][15][16] because of their energy consumption reduction [17,18]. Some approaches have focused on standalone direct pumping photovoltaic systems without storage systems [19,20], on solving the shadows passing over the generator [21], on investigating the effect of variable solar radiation on a PV based system [22] and on coupling irrigation scheduling with solar energy production [23]. A tool to synchronize the energy produced and the energy required in an irrigation network while minimizing the number of photovoltaic solar panels was developed [24], which requires that operators control the water and energy demand to fit the energy required by crops to the energy produced by photovoltaic (PV) panels.…”

Section: Introductionmentioning

confidence: 99%

Standalone Photovoltaic Direct Pumping in Urban Water Pressurized Networks with Energy Storage in Tanks or Batteries

2020

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Photovoltaic energy production is nowadays one of the hottest topics in the water industry as this green energy source is becoming more and more workable in countries like Spain, with high values of irradiance. In water pressurized systems supplying urban areas, they distribute energy consumption in pumps throughout the day, and it is not possible to supply electromechanical devices without energy storages such as batteries. Additionally, it is not possible to manage energy demand for water consumption. Researchers and practitioners have proven batteries to be reliable energy storage systems, and are undertaking many efforts to increase their performance, capacity, and useful life. Water pressurized networks incorporate tanks as devices used for accumulating water during low consumption hours while releasing it in peak hours. The compensation tanks work here as a mass and energy source in water pressurized networks supplied with photovoltaic arrays (not electricity grids). This work intends to compare which of these two energy storage systems are better and how to choose between them considering that these two systems involve running the network as a standalone pumping system without being connected to electricity grids. This work also calculates the intermediate results, considering both photovoltaic arrays and electricity grids for supplying electricity to pumping systems. We then analyzed these three cases in a synthetic network (used in earlier research) considering the effect of irradiation and water consumption, as we did not state which should be the most unfavorable month given that higher irradiance coincides with higher water consumption (i.e., during summer). Results show that there is no universal solution as energy consumption depends on the network features and that energy production depends very much on latitude. We based the portfolio of alternatives on investments for purchasing different equipment at present (batteries, pipelines, etc.) based on economic criteria so that the payback period is the indicator used for finding the best alternative, which is the one with the lowest value.

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Section: Introductionmentioning

confidence: 99%

Standalone Photovoltaic Direct Pumping in Urban Water Pressurized Networks with Energy Storage in Tanks or Batteries

2020

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“…Elkholy and Fathy [40] developed an Artificial Neural Network (ANN) trained by a Teaching Learning Based Optimisation Algorithm (TBOA) [41] to obtain maximum power from solar panels by regulating the inverter voltage and frequency. The TBOA is an algorithm designed on the basis of the teacherstudent relationship of learning to solve continuous and nonlinear functions to find a global optimal solution.…”

Section: Pv Irrigation Systems Performancementioning

confidence: 99%

A review of sustainable solar irrigation systems for Sub-Saharan Africa

Wazed

Hughes

O’Connor

et al. 2018

Renewable and Sustainable Energy Reviews

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This investigation focused on the research undertaken on solar photovoltaic (PV) and solar thermal technologies for pumping water generally for irrigation of remote rural farms specifically considering the Sub-Saharan African region. Solar PV systems have been researched extensively for irrigation purposes due to the rise in Oil prices and the upscaling in commercialisation of PV technology. Based on the literature the most effective PV system is presented for the irrigation of a small scare remote rural farm with respect to the cost, pumping capacity and system efficiency. Similarly, solar thermal systems are reviewed and the most effective system described. Unlike PV technology, solar thermal technology for water pumping is lacking especially in small scale operations. However, with the possibility of local production, low investment cost, easy maintenance and lower carbon footprint, solar thermal water pumping technologies may be able to overcome the shortcomings of the PV technology that has stopped widespread use of the technology for irrigation applications. Taking into consideration recent developments in concentrated solar technologies using the Stirling engine, novel solar thermal water pumping systems may be developed. This review also highlighted the different methodologies such as modelling, used to investigate and optimise the performance of solar powered systems.

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“…Solar water pumping based on photovoltaic (PV) technology is one of the hottest topics in water irrigation networks because it has become an attractive alternative with proven economic viability [12,13]. Some other approaches are focused on calculating energy production from a PV [14] or obtaining maximum power from PV with minimum motor losses [15].…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Optimization in Irrigation Networks Supplied by a Standalone Direct Pumping Photovoltaic System

2018

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Due to the fact that irrigation networks are water and energy hungry and that both resources are scarce, many strategies have been developed to reduce this consumption. Solar energy sources have emerged as a green alternative with lower energy costs and, consequently, lower environmental impacts. In this work, a new methodology is proposed to select a scheduled program for irrigation which minimizes the number of photovoltaic solar panels to be installed and which better fits energy consumption (calculated for discrete potential combinations, assisted by programming software) to available energy obtained by panels without any power conditioning unit. Thus, the irrigation hours available to satisfy the water demands are limited by sunlight, the schedule type of irrigation has to be rigid (rotation predetermined), and the pressure at any node has to be above the minimum pressure required by standards. A case study was undertaken and, after running the software 10 5 times, the best result was an irrigation schedule which satisfied all the requirements, involving the installation of 651 solar panels and energy consumption of 428.74 kWh per day, to deliver water to orchards of different varieties of citrus fruit spread over 167.7 ha.

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Optimization of a PV fed water pumping system without storage based on teaching-learning-based optimization algorithm and artificial neural network

Cited by 38 publications

References 20 publications

Standalone Photovoltaic Direct Pumping in Urban Water Pressurized Networks with Energy Storage in Tanks or Batteries

Standalone Photovoltaic Direct Pumping in Urban Water Pressurized Networks with Energy Storage in Tanks or Batteries

A review of sustainable solar irrigation systems for Sub-Saharan Africa

Energy Consumption Optimization in Irrigation Networks Supplied by a Standalone Direct Pumping Photovoltaic System

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