Dynamic Model and Security Assessment of Highly Electrified Industrial Hubs With Power-To-X Assets

Abstract

Decarbonizing industrial processes by transitioning to carbon-neutral energy sources poses significant challenges for industrial operations. The integration of technologies such as Power-To-Heat (PtH) with electric boilers and furnaces, Power-To-Gas (PtG) facilities employing electrolyzers, variable speed drives for energy-intensive machinery, and the increased use of renewable energy sources like wind and solar power plants are reshaping the grid and industrial landscape. This transformation adds complexity and risks, making it a significant endeavor to address emissions from daily operations while maintaining operational security. The industrial sector is crucial in achieving future greenhouse gas (GHG) emissions reduction targets. In Rotterdam's Pernis-Botlek area, where fossil gas accounts for 55\% of the 130 PJ/yr average energy consumption for operational needs, the magnitude of this challenge is evident.

This master's thesis explores the dynamic security of highly electrified industrial hubs integrating Power-To-X conversion facilities through model and simulation-based analysis. The research focuses on developing an industrial site network that integrates individual electric loads while anticipating challenges from the evolving electrical grid. Utilizing DIgSILENT PowerFactory, the study simulates operational scenarios and network disturbances to evaluate the impact of these technological changes. Additionally, the thesis proposes mitigation strategies and operational enhancements to ensure continuous and efficient operations.

The developed model aims to provide a versatile and adaptable representation of industrial sites, drawing on existing literature and reflecting the static and dynamic performance of real power systems within the industrial sector. Through numerical simulations and the analysis of performance metrics, critical issues arising from disturbances are identified and examined to find possible solutions.