Developing an energy consumption monitoring tool based on the Power BI platform for refineries
Abstract
Monitoring energy consumption and efficiency in oil refineries is crucial for operational performance. While traditional tools such as Excel-based calculations can still serve basic monitoring purposes, the rapid advancement of digital transformation has led to the emergence of new tools with significantly enhanced capabilities.
The energy consumption monitoring tool is developed as a versatile template model to track energy consumption, energy intensity index (EII) and related parameters. Input data is collected and presented on an Excel platform, stored in the cloud, automatically updated and visualized using Power BI.
The model integrates data processing, digital transformation, and calculation of necessary factors and parameters based on Solomon standard procedure, similar to the methods used in refineries. Consequently, the model's computational results closely match the data calculated by the refineries when applied to specific cases.
By utilizing this energy consumption monitoring model, refineries can track and monitor the energy structure and efficiency of individual units/areas and the entire plant over different time periods, identifying priority areas for implementing energy-saving measures implementation and energy efficiency improvement. In addition, the model also calculates CO2 emissions from energy consumption in the refinery, which is the basis for monitoring greenhouse gas emissions when legal regulations on management CO2 emissions and carbon credits are issued and applied.
References
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IPCC, “Phương pháp quy đổi nhiên liệu và phát thải”, 2020.

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