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Design of Arduino UNO based smart irrigation system for real time applications Ramasamy, Palanisamy; Pandian, Nagarajan; Mayathevar, Krishnamurthy; Ravindran, Ramkumar; Kandula, Srinivasa Rao; Devadoss, Selvabharathi; Kuppusamy, Selvakumar
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i1.pp105-110

Abstract

The fundamental principle of the paper is that the soil moisture sensor obtains the moisture content level of the soil sample. The water pump is automatically activated if the moisture content is insufficient, which causes water to flow into the soil. The water pump is immediately turned off when the moisture content is high enough. Smart home, smart city, smart transportation, and smart farming are just a few of the new intelligent ideas that internet of things (IoT) includes. The goal of this method is to increase productivity and decrease manual labour among farmers. In this paper, we present a system for monitoring and regulating water flow that employs a soil moisture sensor to keep track of soil moisture content as well as the land’s water level to keep track of and regulate the amount of water supplied to the plant. The device also includes an automated led lighting system.
Optimizing microgrid designs towards net-zero emissions for smart cities: addressing energy disparities and access issues in Northern and North-eastern India Arunkumar, Albert Paul; Kuppusamy, Selvakumar
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp127-137

Abstract

Providing affordable and clean energy is a significant sub-sector of the Smart Cities Mission proposed by India. This research investigates the development of optimal microgrid designs for smart cities in northern and north-eastern India to address regional energy disparities and access issues. In the northern zone, characterized by uneven urban-rural infrastructure and high-power demand, microgrids offer localized, reliable solutions that reduce dependency on centralized systems and enhance energy efficiency. In the north-eastern zone, where geographical isolation and underdeveloped infrastructure hinder energy access, microgrids provide decentralized power generation and distribution, improving access in remote areas. The proposed microgrid designs aim to enhance energy reliability, efficiency, and accessibility by integrating renewable energy sources. The proposed system is analyzed for technical and economic feasibility based on critical factors such as cost of energy (COE), loss of power supply probability (LPSP), and the renewable fraction (RF). The renowned particle swarm optimization (PSO) algorithm is used to optimize the system size to achieve better performance in terms of technical and economic aspects. A proper energy management technique ensures the energy balance between the demand side and the distributed energy sources. A typical 24-hour household load profile is used for the optimization.