Journal Articles

Permanent URI for this collectionhttp://localhost:4000/handle/20.500.12504/86

Browse

Recent Submissions

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Performance analysis of a hybrid of solar photovoltaic, genset, and hydro of a rural-based power mini-grid: case study of kisiizi hydro power mini-grid, Uganda
    (MDPI- Processes, 2023-01) Richard, Cartland; Al-Mas, Sendegeya; Jean de Dieu, Khan Hakizimana
    The power sector in Uganda has increased steadily, focusing majorly on rural electrification to increase the proportion of the rural population accessing electricity using grid extension and isolated mini-grid approaches. Hydropower mini-grids implemented in rural communities have issues regarding system failures leading to shutdowns and load shedding. A study on an existing isolated hydropower mini-grid was made to find the possible causes. A review of published articles and reports, and an analysis of enrollment patterns, energy sales, and load demand was carried out. A field survey with a guided questionnaire to collect information about real energy demand data was carried out. The performance of the system was accomplished through simulation using HOMER pro × 64 software. The findings from the study show a reduction in customer enrollment, a reduction in energy sales, and a reasonable number of system shutdowns. Hybridization of the existing hydropower was modeled with different options. The hybrid system proposed indicates that, when implemented, it would reduce fuel consumption from 222 to 23.2 L/day and emissions from 82.5 to 8.3 kg/year on average and increases system reliability. Simulated values of NPC, LCOE, and operating costs are appreciable. Despite mini-grid shortfalls, there is notably improved livelihood due to improved social and economic services.
  • Thumbnail Image
    Item
    Training model on electrical safety and energy conservation to socially-backward region school students
    (IEEE, 2023-04) Bwanika, Gerald Mayanja; Rhodah, B.; E., Namugeni; Y., Dhanalakshmi; T., Tom Priya Darshini; B., Koti Reddy
    As the saying goes for knife, ‘‘It is a good servant, but a bad master the same holds good for electricity. It can brighten our lives and at the same can char one’s future if not handled properly. Electricity is very useful for human beings right from the first day of its invention. Also, with the rapid growth of industrialization, there is a need to conserve the natural resources such as sunlight, wind or water and at the same time electrical energy due to the rising demand of the luxuries. The awareness about the electrical safety and energy conservation should be started from school-going children onwards, any habit nurtured in the small age can bring one into a good being. This work has developed a basic training model to teach the school students. The basic definition of certain electrical terminologies is mentioned. The hazards related to electrical, the ways to avoid or rectify them are also discussed. Also, the fundamental principles of electrical safety which are to be followed while dealing with any Electrical equipment are included. The concept of energy conservation and the basic ideas of supplying power through renewable resources as well as the need for sustainable development are included in this work.
  • Thumbnail Image
    Item
    Identification and punishment policies for spectrum sensing data falsification attackers using delivery-based assessment
    (IEEE Transactions on Vehicular Technology ., 2015-11) Althunibat, Saud; Birabwa, Joanitah D.; Granelli, Fabrizio
    Spectrum sensing data falsification (SSDF) attacks represent a major challenge for cooperative spectrum sensing (CSS) in cognitive radio (CR) networks. In an SSDF attack, a malicious user or many malicious users send false sensing results to the fusion center (FC) to mislead the global decision about spectrum occupancy. Thus, an SSDF attack degrades the achievable detection accuracy, throughput, and energy efficiency of CR networks (CRNs). In this paper, a novel attacker-identification algorithm is proposed that is able to skillfully detect attackers and reject their reported results. Moreover, we provide a novel attacker-punishment algorithm that aims at punishing attackers by lowering their individual energy efficiency, motivating them either to quit sending false results or leave the network. Both algorithms are based on a novel assessment strategy of the sensing performance of each user. The proposed strategy is called delivery-based assessment, which relies on the delivery of the transmitted data to evaluate the made global decision and the individual reports. Mathematical analysis and simulation results show promising performance of both algorithms compared with previous works, particularly when then the number of attackers is very large.