A novel algorithm for optimal sizing of stand-alone photovoltaic pumping systems

Hafian, Asmae; Benbrahim, Mohammed; Kabbaj, Mohammed Nabil

doi:10.11591/ijpeds.v13.i3.pp1833-1842

Cited by 3 publications

(6 citation statements)

References 14 publications

(22 reference statements)

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“…Table 1 summarizes the operating principle of the disturbance and observation method [12]. The "P&O" algorithm has limitations that reduce its effectiveness.…”

Section: Methods Of Perturbation and Observation (Pando)mentioning

confidence: 99%

Improving and evaluating the performance of a real photovoltaic pumping system for agricultural irrigation purposes in a desert environment at Ghardaia, Algeria

Bouchakour,

Abdelhalim,

Benbaha

et al. 2024

SEES

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Algeria has one of the highest solar resources in the world. The availability of this significant solar energy can make photovoltaic (PV) water pumping applications a very attractive solution for many uses, including irrigation of agricultural areas, village water supply and domestic uses. The cost of water pumped by a PV pumping system is directly linked to the efficiency and reliability of the different elements constituting the system and also to the solar irradiation available at the installation site. Consequently, it is necessary to improve the reliability and efficiency of the PV generator in order to extract the maximum possible power at all times in order to achieve the most reliable and economic operation. On a real well of 25 m height in desert and semi-arid climate at the Sebseb site, Ghardaïa, Algeria, a typical PV pumping system for irrigation purposes is studied and optimized using two conventionels methods, a P&O method and a incremental method.These methods are essentially based on the assessment of water needs to irrigate 70 palm trees, the data on solar irradiation and the average temperature for the studied site (Sebseb, Ghardaia).

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“…Table 1 summarizes the operating principle of the disturbance and observation method [12]. The "P&O" algorithm has limitations that reduce its effectiveness.…”

Section: Methods Of Perturbation and Observation (Pando)mentioning

confidence: 99%

Improving and evaluating the performance of a real photovoltaic pumping system for agricultural irrigation purposes in a desert environment at Ghardaia, Algeria

Bouchakour,

Abdelhalim,

Benbaha

et al. 2024

SEES

View full text Add to dashboard Cite

show abstract

“…It mainly varies depending on climate factors (temperature, wind, humidity, solar radiation), soil factors (water table depth, soil moisture availability, texture, conductivity), crop factors (crop type, length of crop growing season, growth stage, rooting characteristics), and water factors (frequency of irrigation and quality of irrigation water). It can be expressed as (1) [16]:…”

Section: Methodsmentioning

confidence: 99%

“…The total amount of water lost through transpiration by the crop and evaporation from the soil surface is known as crop evapotranspiration (ET c ), which depends on the plant species, climate, and growth stage. It can be expressed as (3) [16]- [18]:…”

Section: Methodsmentioning

confidence: 99%

“…Evapotranspiration (ET o ) is a climate parameter that represents the amount of water transferred to the atmosphere by evaporation at ground level and by transpiration from plants. It can be calculated from meteorological data [16], but crop properties and soil factors do not influence transpiration because water is abundantly available at the reference evapotranspiration surface. ET o can be estimated using various methods, including empirical and scientifically derived methods.…”

Section: Methodsmentioning

confidence: 99%

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IoT-based smart irrigation management system using real-time data

Hafian,

Benbrahim,

Kabbaj

2023

IJECE

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<p>An adequate water supply is essential for the growth and development of crops. When rainfall is insufficient, irrigation is necessary to meet crop water needs. It is a crucial and strategic aspect of economic and social development. To combat climate change, there is a need to adopt irrigation management techniques that increase and stabilize agricultural production while saving water, using intelligent agricultural water technologies. Internet of things (IoT) based technologies can achieve optimal use of water resources. This article introduces a smart realtime irrigation management system based on the internet of things. It provides optimal management of irrigation decisions using real-time weather and soil moisture data, as well as data from precipitation forecasts. The proposed algorithm is developed in real-time based on the IoT, enabling us to guide irrigation and control the amount of water in agricultural applications. The system uses real-time data analysis of climate, soil, and crop data to provide flexible planning of the irrigation system’s use. A case study from the Fez-Meknes region in Morocco is presented to demonstrate the proposed system’s effectiveness</p>

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“…These elements in a swarm nano grid system are called nano generators, which may be solar cells, wind turbines, fuel cells, or other small-scale energy sources. To increase power production and distribution, nano generators cooperate and operate independently [13]- [16].…”

Section: Introductionmentioning

confidence: 99%

Investigation on implementing the swarm nano grid system for effective utilization of solar-powered agro-industries

Karthikeyan,

Nanthagopal,

Dharmaprakash

et al. 2024

IJPEDS

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The agro-industry is the backbone of the global economy, even in the twenty-first century. The agro-industry would not be what it is now without irrigation. The production and use of renewable energy in this sector of the agricultural economy have also expanded rapidly in recent years. Base-load power production and conversions dominate the literature. This research examines user concerns. The swarm nano grid system fixes this. The pulse width modulation (PWM) sinusoidal inverter converted stable DC power from the bidirectional DC-DC converter into sinusoidal AC voltage for the irrigation pump induction motor. Solar panels, batteries, and converters are costly, but they pay off. The nano grid distributes excess power generated during low demand to local loads. This technique works well when the load can be disconnected from the power grid. MATLAB is used to keep an eye on the reliability and efficiency of the induction motor. In the first simulation, solar power generation is modeled using the MATLAB Simulink software in two distinct modes. A PWM sinusoidal inverter that is driven by solar energy is what provides power to the 5.67 kW induction submersible motor. The simulation result provides a conceptual model of how induction motors powered by renewable energy sources function in practice.

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A novel algorithm for optimal sizing of stand-alone photovoltaic pumping systems

Cited by 3 publications

References 14 publications

Improving and evaluating the performance of a real photovoltaic pumping system for agricultural irrigation purposes in a desert environment at Ghardaia, Algeria

Improving and evaluating the performance of a real photovoltaic pumping system for agricultural irrigation purposes in a desert environment at Ghardaia, Algeria

IoT-based smart irrigation management system using real-time data

Investigation on implementing the swarm nano grid system for effective utilization of solar-powered agro-industries

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