Assessing the cost reduction potential and competitiveness of novel (next generation) UK carbon capture technology

Descriptions

Notice summary: The Department of Business, Energy and Industrial Strategy (“BEIS”), wishes to appoint a specialist supplier to investigate the techno-economics of novel UK carbon capture innovation. The UK has supported the research and development of novel carbon capture innovation to the point where they can be assessed and benchmarked to the current state-of-the-art capture technology and other novel capture innovation being developed internationally. BEIS requires evidence based analytical and technical studies on State of the Art and next generation capture technologies in order to inform future innovation spending programmes and to shape the future policy direction for capture technologies in the Power and Energy Intensive Industries (EIIs) respectively. Description: The aim is to study state of the art and novel (next generation) carbon capture technologies only (storage and transport is not within the scope of this work) The project is aimed at studying UK led technologies, as they will be the focus of the future innovation programme and are opportunities for UK economic growth in this sector. The objective of this study is to make an assessment of the cost reduction and competitiveness of novel UK capture technology using engineering and economics (called from here on as Techno-economics). This will consist of the following: •Technical due diligence (although not limited to performance, materials, processes and capital and operating expenditure etc.) •Producing cost estimates for techno-economic analysis •Benchmarking the capture technologies •Undertaking detailed engineering studies of two best performing technologies applied to four industry applications (which may include: post-combustion carbon capture on gas fired power, carbon capture on steam methane reforming, carbon capture on gas processing and carbon capture on either Iron & Steel, chemicals, refining or cement.) This will be used for BEIS Innovation Programme Planning, Government policy evidence and to provide assumption data for BEIS models.