Design and Implementation of a Smart Irrigation System for Improved Water-Energy Efficiency

Masaba, Kizito; Amini, Ntakirutimana; Ustun, Taha Selim

doi:10.1049/cp.2016.1357

Cited by 26 publications

(7 citation statements)

References 3 publications

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“…The designed system offers a low-cost design with low latency. Masaba et al [13] proposed a smart irrigation system to improve water-energy efficiency. Their system consists of a microcontroller, sensors, and a water pump that is integrated with the decision-making system.…”

Section: Related Workmentioning

confidence: 99%

An internet of things-based irrigation and tank monitoring system

Obasanya

Oluwafemi

Bello

et al. 2022

IJ-ICT

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<span>Agriculture plays a significant role in the development of a nation and provides the main source of food production, income, and employment to nations. It was the most practiced occupation in Nigeria and this formed the backbone of the economy in the early 1960s before the discovery of crude oil, which has led to the derail of sufficient food production, exportation, and the agricultural economy at large. Over time, the dry season has always been challenging with little or no rainfall and there are no irrigation facilities that incorporate different saving practices to adapt to these climate changes on their own. In this paper, a cost-effective internet of things irrigation system that is capable of reducing water wastage, manual labor, monitoring tank water level and that can be controlled remotely is designed. The system integrated Arduino UNO with a soil moisture sensor, HCSR04 ultrasonic sensor, and ESP8266 Wi-Fi module that gives the system capable of being controlled remotely via the internet, thus achieving optimal irrigation using the internet of things (IoT). Some of the challenges facing the existing irrigation system are water wastage, poor performance, and high cost of implementation. The design system helps to control water supply to crops when it is needed, and also monitors soil moisture, temperature, and water tank level. After carrying out the experiments for 15 days, the system saved approximately 49% of the water used in traditional irrigation method. The system is useful in large farming areas to minimize human effort and reduce the cost of hiring personnel.</span>

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Section: Related Workmentioning

confidence: 99%

An internet of things-based irrigation and tank monitoring system

Obasanya

Oluwafemi

Bello

et al. 2022

IJ-ICT

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“…More advanced projects were also found [12][13][14][15][16] where full WSNs are used to automatically turn on the irrigation system when low levels of soil moisture are detected. Although some good results can be found, none works with the goal of water management.…”

Section: Related Workmentioning

confidence: 99%

Water Management for Sustainable Irrigation Systems Using Internet-of-Things

Glória

Dionisio

Simões

et al. 2020

Sensors

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This paper introduces a new way of managing water in irrigation systems, which can be applied to gardens or agricultural fields, replacing human intervention with Wireless Sensor Networks. A typical irrigation system wastes on average 30% of the water used, due to poor management and configuration. This sustainable irrigation system allows a better efficiency in the process of irrigation that can lead to savings for the end user, not only monetary but also in natural resources, such as water and energy, leading to a more sustainable environment. The system can retrieve real time data and use them to determinate the correct amount of water to be used in a garden. With this solution, it is possible to save up to 34% of water when using sensor data from temperature, humidity and soil moisture, or up to 26% when using only temperature inputs. Besides a detailed system architecture, this paper includes a real case scenario implementation and results discussion.

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“…Without a doubt, Renewable Energy (RE) is the most popular source of energy for the future [1,2]. New solutions are constantly developed to increase RE-based generation at all levels of power system operation [3][4][5]. This shift towards clean energy addresses contemporary issues such as global warming and sustainability [6,7].…”

Section: Introductionmentioning

confidence: 99%

Power Hardware in-the-Loop Testing to Analyze Fault Behavior of Smart Inverters in Distribution Networks

et al. 2020

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Deep penetration of distributed generators have created several stability and operation issues for power systems. In order to address these, inverters with advanced capabilities such as frequency and reactive power support the grid. Known also as Smart Inverters (SIs), these devices are highly dynamic and contribute to the power flow in the system. Notwithstanding their benefits, such dynamic devices are new to distribution networks. Power system operators are very reluctant toward such changes as they may cause unknown issues. In order to alleviate these concerns and facilitate SIs integration to the grid, behavior studies are required. To that end, this paper presents a power hardware-in-the-loop test set up and tests that are performed to study fault behavior of SIs connected to distribution networks. The details of the software model, SI integration with the real-time simulator, test results, and their analyses are presented. This experience shows that it is not trivial to connect such novel devices with simulation environments. Adjustments are required on both software and hardware fronts on a case-by-case basis. The encountered integration issues and their solutions are presented herein. The fault behavior of the SI with respect to the fault location is documented. It is observed that for faults that are close to SIs, momentary cessation of generation is observed. This needs to be tackled by device manufacturers as this phenomenon is very detrimental to health of a power system under fault conditions. Extensive PHIL test results show that several factors affect the fault behavior of an SI: fault location and its duration, SI mode of operation as well as extra devices housed in the casing. These results and their in-depth analyses are presented for a thorough understanding of SI behavior under fault conditions.

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Design and Implementation of a Smart Irrigation System for Improved Water-Energy Efficiency

Cited by 26 publications

References 3 publications

An internet of things-based irrigation and tank monitoring system

An internet of things-based irrigation and tank monitoring system

Water Management for Sustainable Irrigation Systems Using Internet-of-Things

Power Hardware in-the-Loop Testing to Analyze Fault Behavior of Smart Inverters in Distribution Networks

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