INTRODUCTION
This case study describes a newly constructed HVO (Hydrotreated Vegetable Oil) unit, with a specific focus on the process analytics solutions used for monitoring and optimizing production. The plant, built by a leading Central European petrochemical company, produces 300,000 tons of biodiesel or sustainable aviation fuel (SAF) per year. The total investment cost is estimated at around 140 million Euros.
PROCESS
Hydrotreated Vegetable Oil (HVO) is a high-quality, second-generation biofuel that is increasingly used due to its sustainability and performance advantages over conventional biodiesel. HVO can be used directly in diesel engines without any modifications, offering an effective solution for reducing CO2 emissions. The production process involves the following steps:
KEY ANALYTICAL TECHNOLOGIES
To ensure the quality and safety of the HVO production process, four advanced analyzers were implemented: two Maxum II gas chromatographs, one BioTector TOC analyzer, and one SOLA iQ sulfur analyzer. These devices play a key role in monitoring process parameters, detecting impurities, and optimizing production conditions.
CHALLENGES IN HVO PRODUCTION
HVO production involves several challenges that require continuous monitoring. Some process gases are hazardous, necessitating the implementation of strict safety measures.
Finally, it's important to remember that the complex nature of the hydrotreating process requires continuous monitoring of production parameters. Therefore, the analytical systems were equipped with smart measurement sensors, which were connected to the unique Bricks’n’Cloud (B’n’C) plant monitoring system. Data transmitted from the sensors and data sent by the analyzers to the B’n’C application are recorded and categorized as:
The database of events occurring in the plant enables the safe and uninterrupted operation of the production process.
The HVO project is a great engineering success, achieved through the proper selection of analyzers and sample conditioning equipment, and the implementation of the unique B'n'C monitoring and prediction system.
