International Journal of Modern Electrical Engineering and Intelligent Automation

Quantitative Assessment of Flared Gas Potential for Off-grid Rural Electrification

2026-02-23T08:24:30+00:00

Gas flaring remains a significant source of energy loss and environmental pollution in oil-producing regions, despite growing electricity demand in off-grid and remote areas. This study quantitatively evaluates the feasibility of using flared gas for off-grid power generation based on a baseline flare volume of 1,875,685.01 MMSCF/day. The analysis includes flare gas volume estimation, energy content evaluation, power generation potential, and off-grid system integration. Analytical models are applied to estimate recoverable thermal energy, net electrical output, and conversion efficiency for selected technologies. Results show that gas turbines, gas engines, and fuel cells operating at efficiencies of 33%, 42%, and 55% capable of generating (10.68 MWh/day), (13.60 MWh/day), and (17.81 MWh/day) of electricity, respectively. Assuming an average household demand of 4 kW, this output could supply approximately 2,670, 3,400, and 4,452 households, respectively. The findings indicate that large-scale flared gas utilization, particularly through fuel cell technology, can provide reliable off-grid electricity while reducing greenhouse gas emissions and dependence on diesel generators. The study provides a technical basis for implementing flare gas-to-power systems in remote oilfields and rural electrification projects.

Field Validation of an Integrated Counter-UAS System: Radar, EO Tracking, RF Jamming, and Drone Interception Performance

2026-01-07T10:32:12+00:00

The proliferation of small Unmanned Aerial Systems (UAS) has raised serious security concerns in modern military operations due to their low cost, wide availability, and adaptability. This paper presents a comprehensive field evaluation of an integrated counter-UAS (C-UAS) system conducted in collaboration with a military test unit in Thailand. The deployed system combined a 3D surveillance radar, an Electro-Optical (EO) tracking camera, a multi-band Radio-Frequency (RF) jammer, and an autonomous net-based interceptor drone into a layered defense platform. Field trials were performed against representative small drones (Class 1 and Class 2 UAS targets, including both quadcopter and fixed-wing types) across various approach scenarios. Results: The system reliably detected UAS targets at distances up to 4 km, enabled visual identification at approximately 800 m, disrupted control links via RF jamming out to ~1.2 km, and achieved an interception success rate exceeding 85% in live engagements. These findings provide insight into each component’s performance in a layered defence and offer operational recommendations to inform future C-UAS deployments in military and high-value security environments.

Energy-efficient Control Strategy for an Electric Tricycle for Handicapped Persons under an Urban Drive Cycle

2026-02-26T09:01:09+00:00

Electric tricycles provide an efficient mobility solution for handicapped and elderly individuals in urban environments. However, frequent acceleration and deceleration in city drive cycles lead to increased energy consumption and battery stress. In this work, an eco-predictive control strategy is proposed for improving the energy efficiency of an electric tricycle operating under an urban drive cycle. A detailed longitudinal vehicle model incorporating rolling resistance, aerodynamic drag, gradient force, motor power dynamics and battery state of charge variation is developed. The proposed controller modifies the speed reference using a smoothing filter to reduce aggressive acceleration demand while maintaining acceptable tracking performance. Simulation results demonstrate approximately 3.97 % reduction in total energy consumption, 7.74 % reduction in peak power demand and improved final state of charge compared to a conventional PI controller. The proposed strategy enhances range and reduces battery stress without requiring additional hardware, making it suitable for low-cost assistive electric mobility systems.

Electric Power Flow and Loss Analysis in Escravos Distribution Substation

2026-02-06T13:08:49+00:00

The research presents an in-depth analysis of the Escravos oilfield for improved power distribution. In this research, Newton-Raphson method of solution was used to diagnose the Escravos power network to ascertain the present and proposed state of the network under investigation. Three scenarios were considered in the course of this evaluation, and appropriate steps were employed to remediate critically overloaded cables in line with the IEEE voltage regulatory standards. From the load flow report, when the system is powered by the main and alternative generating plants, the cumulative real and reactive power loss was recorded as , and . Results from the second scenario demand cable replacement from for smooth and normal operation of the distribution network. The effect of the replacement of cables 3, 4, 8 and 9 from was positive as the power loss value was minimized to with an increased average voltage profile of 99.85%.