Assessing Emission and Reduction Strategies For Volatile Organic Compounds (VOCs) In Refinery

Abstract

Volatile Organic Compounds (VOCs) discharged from storage operations in refineries produce significant environmental and health concerns. This review paper provides an in-depth analysis of methods employed to reduce VOC emissions specifically from storage facilities within refinery settings. The storage of crude oil, petroleum products, and chemicals in refineries involves complex processes that contribute to VOC emissions during loading, unloading, tank filling, and vaporization. Addressing these emissions is crucial for regulatory compliance, environmental impact reduction, and community health protection. This review explores a range of methods, wastewater treatment, enclosed flares, pressurized storage tanks, micro-turbine generators, leak detection, maintenance protocols, adsorbents, alternative storage materials, and enhanced monitoring systems. Moreover, it highlights the integration of the Internet of Things (IoT) and Artificial Intelligence (AI) techniques in VOC emission reduction strategies. IoT sensors can enable real-time monitoring of storage conditions, facilitating timely leak detection and prompt response. AI algorithms can analyze the collected data, identify patterns, and optimize operational parameters to minimize VOC emissions. By evaluating the effectiveness and limitations of these methods, as well as potential synergies, this review identifies opportunities for further research and development. The findings serve as a valuable resource for refinery operators, environmental regulators, and researchers, providing insights into the most promising approaches to mitigate VOC emissions from storage facilities. Implementing effective strategies and technologies can contribute to reducing the environmental footprint, improving air quality, and ensuring sustainable refinery operations amidst increasingly stringent environmental regulations.