ALGORITHMS UTILIZING AI FOR LOAD PREDICTION IN INTELLIGENT POWER GRIDS
Abstract
This in-depth research investigation explores the application of fundamental energy and exergy principles to evaluate the performance of a gas-fired steam power plant boiler located in Bangladesh. The power plant has a total installed capacity of 210 MW and comprises two generation units. The study focuses on comprehending the energy and exergy dynamics within the boiler to gain insights into its operational effectiveness. Throughout the research, a thorough analysis of both energy and exergy efficiencies of the boiler has been conducted. Additionally, the assessment quantifies the overall irreversibility within the boiler under various load conditions. The findings show that the energy efficiency of the boiler fluctuates in the range of 75% to 80% across different load conditions. Simultaneously, the exergy efficiency experiences variations, ranging from 41.4% to 43%, as load conditions change. Significantly, the outcomes of the irreversibility analysis reveal a direct relationship between exergy destruction and the load magnitude. This analysis suggests that exergy destruction increases proportionally with the load, reaching its peak under full-load conditions.
In summary, this research provides valuable insights into the energetic and energetic aspects of a gas-fired steam power plant boiler in Bangladesh, fostering a nuanced understanding of its efficiency and performance across diverse load conditions. These findings can lay the groundwork for further enhancements and optimizations in power generation and energy utilization within the region. This comprehensive research endeavour delves into the practical application of fundamental energy and exergy principles to assess the operational efficiency of a gas-fired steam power plant boiler situated in Bangladesh. This power plant boasts a total installed capacity of 210 MW, comprising two generation units. The core objective of this study is to unravel the intricate interplay of energy and exergy dynamics within the boiler, providing valuable insights into its overall effectiveness.
Throughout this investigation, we conducted a meticulous examination of both energy and exergy efficiencies associated with the boiler. Furthermore, we quantified the overall irreversibility within the boiler across varying load conditions. The research outcomes elucidate that the energy efficiency of the boiler demonstrates fluctuations within the range of 75% to 80% across diverse load conditions. Concurrently, exergy efficiency exhibits variations spanning from 41.4% to 43% as the load conditions undergo changes. Notably, our irreversibility analysis highlights a direct correlation between exergy destruction and the load magnitude, with exergy destruction reaching its zenith under full-load conditions. To summarize, this study furnishes invaluable insights into the energetic and exegetics facets of a gas-fired steam power plant boiler in Bangladesh, contributing to a nuanced comprehension of its efficiency and performance across diverse load conditions. These revelations can serve as the foundation for subsequent enhancements and refinements in power generation and energy utilization within the region.
Key Words: Power plant, energy flow, exergy, exergy destruction and exergy efficiency
