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With the rising need for utilizing renewable energy instead of traditional energies in electricity generation across the world, a broad assessment of these energies' performance is required to make the most of them everywhere. This paper looks at the techno-economics of renewable energy resources for a distant health clinic in a rural location of southern Iraq. Cost, dependability, and availability are the parameters that were considered in this study, which took into consider the power load in this scenario. Because of its efficacy, the particle swarm optimization (PSO) technique was chosen for the suggested study. Results showed that the respective optimal values for number of photovoltaics (NPV) equal to (10), number of wind turbines (NWT) equal to (5), and number of batteries (NBT) of (33), cost of energy (COE) of (0.518 US$/kWh), loss power supply probability (LPSP) of (0.073%), reliability (REL) of (99.927%) and renewable factors (RF) of (100%) with (66 %) solar energy penetration, and (34%) wind energy penetration. Finally, it was discovered that implementing a hybrid renewable energy system (HRES) is an effective way to address the electrical demands of remote rural regions in Iraq and other developing countries with similar climates.

Smart farming is one of the keys for future agriculture because it is a management to use modern technology for increasing the quality and quantity of the agriculture. And because of the planet quality depend on the amount of water and the characteristics of soil, it is necessary to study the soil using the soil moisture sensor to investigate whether the soil is dry or wet, also to consider the challenges that could be faced in agricultural environment by maintain the soil and the planets irrigated without extra usage of water. In this paper, a prototype irrigation system uses Arduino Uno microcontroller which is programmed in C++ language to sense the degree of moisture by using soil moisture sensor. According to moisture sensor readings, when the moisture sensor above 1000, Arduino triggers to supply the water by using 5V mini water pump and stop when the soil moisture sensor reading reaches below 400. GSM technology enables the user to be notified in any changes happening in agricultural area by sending SMS (Short Message Service). Whenever the soil become wet or dry and the mini water pump switched on or off, a message delivered to user’s cellular phone indicating the condition of the soil and the action of water pump. In that capacity, this prototype will reduce the time for the user by monitoring remotely without going to his land, and also to reduce the usage of water by allow the water pump to flow the water for limited time until the moisture degree raise again.

In today’s modern world, any community anywhere has the right to have access to a basic level of electricity. It is with this in mind that efforts are being made to provide electric power to even the most remote locations. Solar and wind energy are examples of renewable energy sources that are both clean and versatile. For a distant rural school in south-eastern Iraq, this research presents Particle Swarm Optimization (PSO) to reduce the Cost of Energy (COE) according to maximum dependability of Hybrid Renewable Energy System (HRES), by utilizing an integrated electrical generation system. The suggested hybrid system consists of PV, WT, and BT, all of which are subject to a certain investment restriction. Results showed that, the optimal sizing of the Number of Photovoltaics (NPV) equal to (9), Number of Wind turbines (NWT) equal to (6), Number of the batteries (NBT) of (29), Cost of energy (0.536 US$/kwh), Loss power supply probability (0.091 %), reliability (99.909 %) and renewable factors (100 %) with (59 %) PV penetration, and (41 %) WT penetration. As a result, the use of the hybrid system is justified from a technological, economic, and humanitarian standpoint.