Techno-economic Evaluation of Grid-connected Hybrid Energy System Based on Run-of-River and Solar Energy Plants for Sustainable Electrification of a Rural Community

Abdulkadir Adamu, Usman Alhaji Dodo — Tue, 06 May 2025 00:00:00 +0000

The connection between energy access and greenhouse gas emissions is an issue that continues to garner attention. Presently, hundreds of millions of people globally do not have access to sufficient electricity, and those who do, rely on expensive fossil resources characterized by greenhouse gases. A viable solution is to explore renewable energy (RE) sources to satisfy the electricity demand and curtail the effect of greenhouse gases. This study performed a techno-economic analysis of a grid-connected hybrid RE system that included micro-hydro and solar photovoltaic power plants for a Nigerian rural community. The optimal system, according to the analysis done with HOMER software tool, has an overall NPC, operating cost, and LCOE of $3,202,139.00, $37,515.81, and $0.06053/kWh, respectively. A 98.1 kW micro-hydro turbine, a 150 kW converter, 100 kW solar panels, and 704 battery strings constitute the system components. An annual emission of 4,483 kg of CO₂, 0.356 kg of CO, 22.5 kg of SO₂, 4.86 kg of NO, and 1.66 kg of particulate matter will be released into the atmosphere. The implementation of this hybrid power system will not only increase access to energy but also help lessen greenhouse gas emissions.

Principal Component Analysis-Multilinear Perceptron-based model for Distributed Denial of Service Attack Mitigation

Tue, 06 May 2025 00:00:00 +0000

The increasing occurrence of Distributed Denial of Service (DDoS) attacks has caused significant disruptions in global network services, overwhelming targets by flooding them with requests from various sources. This ease of execution and gaining entry to distributed systems for rent has led to increasing financial losses. This paper addresses the growing challenge of IoT devices-targeted Distributed Denial of Service (DDoS) attacks within 4G networks. In this study, a PCA-MLP (Principal Component Analysis-Multi-Layer Perceptron) intrusion detection model combined with a packet-filtering firewall for enhanced prevention is presented. The firewall, utilizing IPtables, selectively permits traffic from trusted sources, successfully blocking nearly 70% of DDoS threats. The PCA-MLP model proposed in this study demonstrated high performance, accurately identifying different types of DDoS attacks with an overall accuracy of 95.35%.

ABUAD Journal of Engineering Research and Development (AJERD)

Techno-economic Evaluation of Grid-connected Hybrid Energy System Based on Run-of-River and Solar Energy Plants for Sustainable Electrification of a Rural Community

Principal Component Analysis-Multilinear Perceptron-based model for Distributed Denial of Service Attack Mitigation