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Air Products (United States)

Air Products (United States)

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19 Projects, page 1 of 4
  • Funder: UK Research and Innovation Project Code: EP/I014640/1
    Funder Contribution: 767,492 GBP

    Many important questions and challenges in process systems design, operation and control can be typically posed as nonlinear optimization problems. To date, most optimal decision making tools for such problems are mainly based on deterministic mathematical models, where all parameter values in the model are assumed to be known precisely. In practice, however, mathematical models are merely approximate descriptions of the real system, and parameters such as future demands, prices, equipment wearout and process conditions are subject to significant uncertainty. It has been frequently shown that disregarding such uncertainty can lead to severe performance losses, increased costs, and energy/environmental penalties. We propose to develop robust, local and global optimization methods for the efficient solution of such nonlinear optimization problems in the presence of uncertainties. Depending on their nature, uncertainties can be accounted for in a static/proactive or reactive way. Two important industrial applications will be investigated and the developed methods will be applied for the integrated design, optimization and control of process systems under uncertainty.

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  • Funder: UK Research and Innovation Project Code: EP/G037345/1
    Funder Contribution: 6,794,140 GBP

    The goal of the proposed EngD Centre is to produce research leaders to tackle the major national and international challenges over the next 15 years in implementing new power plant to generate electricity more efficiently using fossil energy with near zero emissions, involving the successful demonstration of CO2 capture, and also in reducing CO2 emissions generally from coal utilisation, including iron making. These leaders will be part of the new breed of engineers that will be thoroughly versed in cutting edge energy research and capable of operating in multi-disciplinary teams, covering a range of knowledge transfer, deployment and policy roles and with the skills to analyse the overall economic context of their projects and to be aware of the social and ethical implications. This proposal has involved wide consultation with the power generation sector which has indicated that the number of doctoral researchers required in the UK for the major developments in large-scale fossil energy power generation involving efficiency improvements and CO2 capture can be estimated conservatively as 150-200 over the next ten years. The Centre will play a vital role in meeting this demand by providing training in highly relevant technological areas to the companies concerned, as well as the broader portfolio of skills required for future research leaders. Further, Doosan Babcock, Alstom, E.ON, Rolls Royce, EDF, RWE, Scottish and Southern Energy (SSE), Welsh Power and Drax Power all support this bid and are willing to participate in the proposed Centre from 2009 onwards. Further, in terms of reducing CO2 emissions generally from coal utilisation, including iron making and smokeless fuel, this has drawn in other industrial partners, Corus and CPL. The innovative training programme involves a number of unique elements based around the social sciences and activities with China and is designed to ensure that the research engineers are not only thoroughly versed in cutting edge energy research but capable of operating in multi-disciplinary teams covering a range of knowledge transfer, deployment and policy roles and the ability to analyse the overall economic context of projects and to be aware of the social and ethical implications. The academic team draws upon the internationally leading fossil energy programme at Nottingham but also on colleagues at Birmingham and Loughborough for their complementary research in high temperature materials, plant life monitoring and energy economics. Given that virtually all of the research projects will benefit from using pilot-scale equipment in industry linked to the advanced analytical capabilities in the MEC and our overseas partners, together with the Group activities undertaken by the yearly cohorts, the training programme is considered to offer considerable added value over DTA project and CASE awards, as testified by the extremely high level of industrial interest in the proposed Centre across the power generation section, together with other industries involved in reducing CO2 emissions from coal utilisation.

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  • Funder: UK Research and Innovation Project Code: EP/N024613/1
    Funder Contribution: 860,547 GBP

    The 2008 Climate Change Act sets a legally binding target of 80% CO2 emissions reductions by 2050. This target will require nearly complete decarbonisation of large and medium scale emitters. While the power sector has the option of shifting to low carbon systems (renewables and nuclear), for industrial emissions, which will account for 45% of global emissions, the solution has to be based on developing more efficient processes and a viable carbon capture and storage (CCS) infrastructure. The government recognises also that "there are some industrial processes which, by virtue of the chemical reactions required for production, will continue to emit CO2", ie CCS is the only option to tackle these emissions. In order for the UK industry to maintain its competitiveness and meet these stringent requirements new processes are needed which reduce the cost of carbon capture, typically more than 60% of the overall cost of CCS. Research challenge - The key challenges in carbon capture from industry lie in the wide range of conditions (temperature, pressure, composition) and scale of the processes encountered in industrial applications. For carbon capture from industrial sources the drivers and mechanisms to achieve emissions reductions will be very different from those of the power generation industry. It is important to consider that for example the food and drinks industry is striving to reduce the carbon footprint of the products we purchase due to pressures from consumers. The practical challenge and the real long term opportunity for R&D are solutions for medium to small scale sources. In developing this project we have collaborated with several industrial colleagues to identify a broad range case studies to be investigated. As an example of low CO2 concentration systems we have identified a medium sized industry: Lotte Chemicals in Redcar, manufacturer of PET products primarily for the packaging of food and drinks. The plant has gas fired generators that produce 3500 kg/hr of CO2 each at approximately 7%. The emissions from the generators are equivalent to 1/50th of a 500 MW gas fired power plant. The challenge is to intensify the efficiency of the carbon capture units by reducing cycle times and increasing the working capacity of the adsorbents. To tackle this challenge we will develop novel amine supporting porous carbons housed in a rotary wheel adsorber. To maximise the volume available for the adsorbent we will consider direct electrical heating, thus eliminating the need for heat transfer surfaces and introducing added flexibility in case steam is not available on site. As an example of high CO2 concentrations we will collaborate with Air Products. The CO2 capture process will be designed around the steam methane reformer used to generate hydrogen. The tail gas from this system contains 45% v/v CO2. The base case will be for a generator housed in a shipping container. By developing a corresponding carbon capture module this can lead to a system that can produce clean H2 from natural gas or shale gas, providing a flexible low carbon source of H2 or fuel for industrial applications. Rapid cycle adsorption based processes will be developed to drive down costs by arriving flexible systems with small footprints for a range of applications and that can lead to mass-production of modular units. We will carry out an ambitious programme of work that will address both materials and process development for carbon capture from industrial sources.

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  • Funder: National Science Foundation Project Code: 8317270
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  • Funder: European Commission Project Code: 621219
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