Browsing by Author "Amuda, S. A. Y."
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Item Effects of PV and Battery Storage Technologies on the Optimal Sizing of Renewable Energy Microgrid(Universiti Teknologi Malaysia (UTM), 2018-04-16) Abdulkarim, Abubakar; Abdelkaderer, S.M.; Morrow, D. J.; Amuda, S. A. Y.; Madugu, I.S.; Falade, A.J.; Saminu, Sani; Adediran, Y.A.This paper presents analyses of the model for the optimum design of standalone hybrid microgrid. The model is developed with the aim of optimizing system component sizing that can reliably satisfy isolated loads. The objective function is to minimize the annual cost of the plant while taking all constraints into consideration. Mixed integer linear programming technique is used to solve the optimization problem. By applying some approximations, the output power of the wind energy conversion system is expressed as a linear function of wind speed. Effects of different PV technologies and the rated power of each unit have been investigated. The results have shown the ability of the proposed model by reducing the cost of energy by 89.35%, 90.26%, 88.3530%, and 89.99% for AP120, ASE 300, KC120 and SAPC165 respectively. In the same way the carbon dioxide emission is reduced by 83%, 82.82%, 82.51% and 73.48 in the same order of the PV modules. Also, the optimal design is sensitive to the rated power of the WECS and SECS, while the benefit-to-cost ratio and payback period are sensitive to the storage technology.Item Performance Evaluation of Three PID Controller Tuning Algorithm on a Process Plant.(Published by Institute of Advanced Engineering and Science, Ahmad Dahlan University, Yogyakarta 55191, 2015) Ibrahim, O.; Amuda, S. A. Y.; Mohammed, O. O.; Kareem, G. AItem Performance Review of Selected Topology-Aware Routing Strategies for Clustering Sensor Networks(Faculty of Engineering & Technology, University of Ilorin, Ilorin, Nigeria, 2019-12-11) Salami, Abdulazeez Femi; Zakariyya, Olayinka Sikiru; Amuda, S. A. Y.; Sadiq, Bashir Olaniyi; Abdulrahman, Olaniyan AdebayoIn this paper, cluster-based routing (CBR) protocols for addressing issues pertinent to energy consumption, network lifespan, resource allocation and network coverage are reviewed. The paper presents an in-depth performance analysis and critical review of selected CBR algorithms. The study is domain-specific and simulation-based with emphasis on the tripartite trade-off between coverage, connectivity and lifespan. The rigorous statistical analysis of selected CBR schemes was also presented. Network simulation was conducted with Java-based Atarraya discrete-event simulation toolkit while statistical analysis was carried out using MATLAB. It was observed that the Periodic, Event-Driven and Query-Based Routing (PEQ) schemes performs better than Low-Energy Adaptive Clustering Hierarchy (LEACH), Threshold-Sensitive Energy-Efficient Sensor Network (TEEN) and Geographic Adaptive Fidelity (GAF) in terms of network lifespan, energy consumption and network throughput.