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Podila, Rishika (2024) Optimisation and Economic Feasibility of Hybrid Renewable Energy Systems for Data Centre Power Management. Masters thesis, Dublin, National College of Ireland.
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Abstract
This study focuses on how renewable energy systems including but not limited to solar and wind energy systems can be integrated into data centre power management systems with a view of increasing sustainability, reliability, and cost-effectiveness. The paper examines the prospects and prospects of using these renewable resources, and the procedure of integrating energy power for the uninterrupted power supply system through batteries and hydrogen sources. The work focuses on optimization algorithms of hydro/micro combined systems covering load dispatching, cost-effectiveness, and profitability aspects.
This research uses secondary qualitative data and simulates techniques based on the deductive approach for analysing the integration of renewable energy sources, storage systems, and data centres. Energy productivity and regulatory indexes like energy conservation, carbon dioxide emissions reductions, and profitability indicators are also assessed to measure the effect of integrating renewable energy. In other ways, the study responds to the environmental and economic consequences of the change in energy sources to renewable ones indicating that there a potential savings in costs and reduction in carbon footprints.
The evidence presented here confirms that the optimization of renewable energy and energy storage systems can increase the effectiveness of data centres’ function while considering climate impact. The book also describes the problems that arose during the implementation and further advances are suggested to enhance the hybrid energy systems in the data centre.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Lugones, Diego UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Energy industries |
| Divisions: | School of Computing > Master of Science in Cloud Computing |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 16 Jul 2025 10:41 |
| Last Modified: | 16 Jul 2025 10:41 |
| URI: | https://norma.ncirl.ie/id/eprint/8141 |
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