Results of a simulation to propose an automated irrigation &amp; monitoring system in crop production using fast charging &amp; solar charge controller

Shufian, Abu; Haider, Md. Rifad; Hasibuzzaman, Md.

doi:10.1016/j.clet.2021.100165

Cited by 19 publications

(12 citation statements)

References 8 publications

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“…In (Shufian et al, 2021), a smart irrigation system was introduced to improve the production efficiency of an automatic irrigation control system with sensors, solar panels, fast chargers, FIGURE 7 PV-Battertopology diagram for (A) a control management algorithm on the DC/DC side using VSIC as a charge controller for the stability of the grid parameter (Marhraoui et al, 2020b). (B) MPPT-based FS and MPPT-FM methods connected to 3-phase three-wire distribution network (Kiswantono et al, 2019).…”

Section: Frontiers In Energy Researchmentioning

confidence: 99%

“…The reason for this is to ensure that the optimal employment of PV cells is achieved. The major obstacle to the inability of optimal employment is the A PV-Battery charging system as (A) introduced within a smart irrigation system to improve production efficiency (Shufian et al, 2021). (B) based on PI controller (Chtita et al, 2021).…”

Section: Solar-battery Charge Controllermentioning

confidence: 99%

“…FIGURE 9A PV-Battery charging system as (A) introduced within a smart irrigation system to improve production efficiency(Shufian et al, 2021). (B) based on PI controller(Chtita et al, 2021).…”

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confidence: 99%

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Current and future prospective for battery controllers of solar PV integrated battery energy storage systems

Hasan

Altinoluk²

2023

Front. Energy Res.

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Solar photovoltaic (PV) microgrids have gained popularity in recent years as a way to improve the stability of intermittent renewable energy generation in systems, both off-grid and on-grid, and to meet the needs of emergency settings during natural catastrophes. Over the last several decades, researchers have been interested in improving the efficiency of photovoltaic (PV) systems. Solar-battery charge controllers based on various algorithms are continuously and intensively employed to improve energy transfer efficiency and reduce charging time. This paper presents state-of-the-art solar photovoltaic (PV) integrated battery energy storage systems (BESS). An overview of and motivations for PV-battery systems is initially introduced, followed by the survey methodology and its contributions. In addition, this study classifies residential solar PV systems and battery charge controllers with their corresponding references in the review structure, which also provides details on battery charger topologies. Subsequently, an analytical review of the PV-Battery charge controller and the failure probability of such systems is discussed to determine the system components that mostly fail and their importance in the system. Finally, recommendation amendments to the existing charge controller that potentially contribute to increasing the system efficiency, reducing the failure probabilities, and reducing the cost are presented as future design concepts for the entire system.

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Section: Frontiers In Energy Researchmentioning

confidence: 99%

Section: Solar-battery Charge Controllermentioning

confidence: 99%

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Current and future prospective for battery controllers of solar PV integrated battery energy storage systems

Hasan

Altinoluk²

2023

Front. Energy Res.

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“…Recently, more irrigation research on automated AWD systems is being reported in the academic literature. Localized pump automation is achieved by sensing the water level lacking remote monitoring or IoT connectivity and using solar panels as the power source [45]. An IoT-based system integrates laser sensors for precise water level measurement for automation of the AWD technique [46].…”

Section: Related Workmentioning

confidence: 99%

“…Research in [45,46] presented automation of the AWD process by using sensors to precisely measure the water level precisely. These studies focused on small areas compared to that of the system described in this paper.…”

Section: Total Energy Consumptionmentioning

confidence: 99%

Dimensioning of Wide-Area Alternate Wetting and Drying (AWD) System for IoT-Based Automation

Siddiqui

Akther

Rahman

et al. 2021

Sensors

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Water, one of the most valuable resources, is underutilized in irrigated rice production. The yield of rice, a staple food across the world, is highly dependent on having proper irrigation systems. Alternate wetting and drying (AWD) is an effective irrigation method mainly used for irrigated rice production. However, unattended, manual, small-scale, and discrete implementations cannot achieve the maximum benefit of AWD. Automation of large-scale (over 1000 acres) implementation of AWD can be carried out using wide-area wireless sensor network (WSN). An automated AWD system requires three different WSNs: one for water level and environmental monitoring, one for monitoring of the irrigation system, and another for controlling the irrigation system. Integration of these three different WSNs requires proper dimensioning of the AWD edge elements (sensor and actuator nodes) to reduce the deployment cost and make it scalable. Besides field-level monitoring, the integration of external control parameters, such as real-time weather forecasts, plant physiological data, and input from farmers, can further enhance the performance of the automated AWD system. Internet of Things (IoT) can be used to interface the WSNs with external data sources. This research focuses on the dimensioning of the AWD system for the multilayer WSN integration and the required algorithms for the closed loop control of the irrigation system using IoT. Implementation of the AWD for 25,000 acres is shown as a possible use case. Plastic pipes are proposed as the means to transport and control proper distribution of water in the field, which significantly helps to reduce conveyance loss. This system utilizes 250 pumps, grouped into 10 clusters, to ensure equal water distribution amongst the users (field owners) in the wide area. The proposed automation algorithm handles the complexity of maintaining proper water pressure throughout the pipe network, scheduling the pump, and controlling the water outlets. Mathematical models are presented for proper dimensioning of the AWD. A low-power and long-range sensor node is developed due to the lack of cellular data coverage in rural areas, and its functionality is tested using an IoT platform for small-scale field trials.

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Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends

Avşar

Mowla

2022

Ad Hoc Networks

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Results of a simulation to propose an automated irrigation & monitoring system in crop production using fast charging & solar charge controller

Cited by 19 publications

References 8 publications

Current and future prospective for battery controllers of solar PV integrated battery energy storage systems

Current and future prospective for battery controllers of solar PV integrated battery energy storage systems

Dimensioning of Wide-Area Alternate Wetting and Drying (AWD) System for IoT-Based Automation

Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends

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