Alternative application of availability and deliverability studies to reduce the energy sectors’ carbon emissions

Abstract

The objective of the paper is to present the advantages of utilising reliability, availability and maintainability (RAM) studies as a decision-making tool for the deployment of carbon capture and storage (CCS), by providing detailed and quantifiable CCS rates of the analysed design concept. The study used methodology to predict carbon capture rates with high confidence for several compression and dehydration train design concepts. This allowed the operator to make decisions on the most cost-efficient design, while having a confident understanding of the design-specific carbon capture potentials. The most favourable CCS concept was combined with the existing liquefied natural gas plant RAM model and production profile for a detailed analysis of remaining daily carbon dioxide (CO2) venting rates as a result of potential CCS outages. The RAM models are based on generic and proven reliability data and include a level of detail that ensures a very reliable prediction of exact carbon capture rates. Besides analysing and comparing the design concept results as system availability, the CCS concept was analysed for its carbon capture deliverability. This provided the operator with a high confidence of average as well as monthly CO2 capture and venting rates for selected CO2 production profiles. The application of RAM for CCS and other energy sustainability projects has proven to be a powerful tool, allowing operators to make informed decisions towards achieving net-zero efficiency. Providing operators with an accurate and long-term prediction of their carbon footprint, when analysed in combination with their energy portfolio.