5 research outputs found
Hazard control management on optimization layout of vent stack at offshore platform
The flaring is a normal practice in the oil and gas industry to achieve a safe and reliable process during the emergency situation. This situation is a routine practice for oil and gas production by controlled burning of natural gas. The burning process can cause hazards by explosion or at the very least surrounding environment will be affected by heat radiation during vent stack burning operation. Hence, investigation of the gas flaring produced by the vent stack is needed to tackle these problems. This paper presents designing a safe vent stack position in the limited space of oil and gas platform with considered the heat radiation produced by the vent stack. The simulation will be done by using flaresim software to predict the heat contour, heat radiation, and gas dispersion. The results proved that the optimal position of vent stack with water shield gives a better heat radiation
Optimal Design and Tuning of Novel Proportional Integral Derivative with Filter Thyristor-Controlled Series Compensator Stabiliser Using a New Hybrid Technique
This paper proposes a novel robust thyristor-controlled series compensator (TCSC) controller based on proportional integral derivative with filter (PIDF) and uses a new hybrid optimisation evolutionary programming sine cosine algorithm (EPSCA) to improve the power system’s angle stability. The problem of the PIDF-TCSC design is transformed into an optimisation problem based on performance indices, such as damping factor, damping ratio, and eigenvalues, where the multi-objective function is employed to obtain the optimal stabiliser parameters. To examine the robustness of PIDF-TCSC, it was tested on a single-machine infinite-bus power system under different operating conditions. The performance of the system with the PIDF-TCSC controller was compared with the simulation results, and the results obtained with the proposed EPSCA were compared with those obtained with SCA, moth flame optimisation, and EP-based PIDF-TCSC methods. Simulation results showed the effectiveness of EPSCA for the PIDF-TCSC design and the superior robust performance for the enhancement of power system stability compared with other techniques in different cases
Optimal Design and Tuning of Novel Proportional Integral Derivative with Filter Thyristor-Controlled Series Compensator Stabiliser Using a New Hybrid Technique
This paper proposes a novel robust thyristor-controlled series compensator (TCSC) controller based on proportional integral derivative with filter (PIDF) and uses a new hybrid optimisation evolutionary programming sine cosine algorithm (EPSCA) to improve the power system’s angle stability. The problem of the PIDF-TCSC design is transformed into an optimisation problem based on performance indices, such as damping factor, damping ratio, and eigenvalues, where the multi-objective function is employed to obtain the optimal stabiliser parameters. To examine the robustness of PIDF-TCSC, it was tested on a single-machine infinite-bus power system under different operating conditions. The performance of the system with the PIDF-TCSC controller was compared with the simulation results, and the results obtained with the proposed EPSCA were compared with those obtained with SCA, moth flame optimisation, and EP-based PIDF-TCSC methods. Simulation results showed the effectiveness of EPSCA for the PIDF-TCSC design and the superior robust performance for the enhancement of power system stability compared with other techniques in different cases
Design and implementation of a smart safety system for rental cars using IoT and e-commerce mobile app integration for IIUM community
Traditional car rental systems are cumbersome for both consumers and rental companies due to the manual and time-consuming nature of the process. This work proposes the integration of a car rental system using mobile app administration and IoT (accident detection system) to address this issue. The system consists of an e-commerce platform and an IoT-powered Accident Detection System. The e-commerce platform enables users to rent automobiles and make payments online, while the Accident Detection System assists car owners in identifying any incidents involving rented vehicles. A Google survey conducted among the IIUM community (consisting primarily of students and staff) revealed that 96% of users and 100% of vehicle owners are in favour of a mobile application for car rentals and the installation of an accident detection system in rental cars. Through simulation, seat belt detection and accident detection have been developed, and future include implementing real-time monitoring using IoT technology to monitor rental compliance, locate vehicles requiring maintenance, and locate stolen vehicles. The proposed system has the potential to make automobile rental services more convenient and secure
Design and Implementation of a Smart Safety System for Rental Cars Using IoT and E-Commerce Mobile App Integration for IIUM Community
Traditional car rental systems are cumbersome for both consumers and rental companies due to the manual and time-consuming nature of the process. This work proposes the integration of a car rental system using mobile app administration and IoT (accident detection system) to address this issue. The system consists of an e-commerce platform and an IoT-powered Accident Detection System. The e-commerce platform enables users to rent automobiles and make payments online, while the Accident Detection System assists car owners in identifying any incidents involving rented vehicles. A Google survey conducted among the IIUM community (consisting primarily of students and staff) revealed that 96% of users and 100% of vehicle owners are in favour of a mobile application for car rentals and the installation of an accident detection system in rental cars. Through simulation, seat belt detection and accident detection have been developed, and future include implementing real-time monitoring using IoT technology to monitor rental compliance, locate vehicles requiring maintenance, and locate stolen vehicles. The proposed system has the potential to make automobile rental services more convenient and secure