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Abstrak - Ali Zainal Abidin
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan

COVER Ali Zainal Abidin
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan

BAB 1 Ali Zainal Abidin
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan

BAB 2 Ali Zainal Abidin
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan

BAB 3 Ali Zainal Abidin
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan

BAB 4 Ali Zainal Abidin
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan

BAB 5 Ali Zainal Abidin
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan

DAFTAR PUSTAKA Ali Zainal Abidin
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan

The increasing share of renewable energy in power grids is essential for decelerating climate change and decarbonizing the energy sector, but poses challenges due to the intermittency of sources. It demands greater operational flexibility from coal-fired power plants (CFPP). The objectives of this study are to explore dynamic modelling as a fundamental tool to enhance CFPP flexibility, enabling better integration of intermittent renewable energy sources, to analyze the transient behaviour of the power plant. A replicate CFPP model of Tanjung Jati B is developed based on the existing library. Control systems are implemented to simulate responses to fluctuating power demands. After calibrating the simulation model, these responses are validated against operational data, ensuring accuracy. Then, power demand schemes are applied, demonstrating the transient behaviour of existing CFPP in various parameter operations. In this study, a dynamic model of the 695 MW Tanjung Jati B coal-fired unit is validated at 27%, 50%, 75%, and 100% load. The model reproduces key steady-state variables (main-steam flow/pressure/temperature and reheater outlet pressure/temperature) with errors generally <10%, with residuals of 12.4% for main-steam mass flow at 50% load and 13% for reheater outlet temperature at 27% load. The model also tracks prescribed load ramps (100-75% at 2%/min, 75-50% and 50-27% at 1%/min, 75-100% at 1%/min), though transient temperature and mass-flow dynamics deviate due to the difference between the plant’s control. Adjusting system optimization is shown to increase achievable ramp-up rate from 0.25%/min to 1%/min