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Workshop on Modelling and Simulation of Coal-fired Power Generation and CCS Process

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Warwick report

  1. 1. Mathematical Modelling and Simulation of Power Plants and CO2 Capture – WORKSHOP 2012 A UK CCS Community Network Specialist Workshop supported by The Research Councils UK Energy Programme Report Coventry 04/2012
  2. 2. Contents1. Summary .........................................................................................................................................................32. WORKSHOP PROGRAMME .............................................................................................................................43. ABSTRACTS .....................................................................................................................................................5 1st Day, 20th March 2012.....................................................................................................................................5 2nd Day, 21st March 2012 ....................................................................................................................................84. List of attendees .......................................................................................................................................... 145. Total costs .................................................................................................................................................... 16
  3. 3. 1. SummaryOn 20th/21st March, the international workshop on Mathematical Modelling and Simulation of Power Plantsand CO2 Capture Processes was held at Warwick, which is organised by Prof Jihong Wang and Dr Jacek Wojcikwith the support of the researchers from Power and Control Systems Research Laboratory.Mathematical modelling and simulation play a crucial role in proof of concept, feasibility study, reliability andperformance analysis for new design and development to be cost effective and robust. This is especiallyimportant in power generation industry and deployment of CO2 capture technologies, where we are limitedin experiments with the real object (power plant). Modelling can potentially support decisions at a range ofbusiness levels, from strategic planning, component and process design through to plant and systemimplementation, operation and maintenance. The workshop included 16 presentations from academicinstitutions and industry. 60 participants from UK, China, Poland, Belgium and USA were willingness to sharetheir time and expertise in the area of mathematical modelling and simulation.The main aims of this workshop were:  to exchange the information of modelling and simulation techniques and the progress of research in this area;  to create a meeting platform for researchers in this area to get together;  to get a better picture for who does what in this research area;  to update the software package and computer language available for modelling and simulation;  to explore the opportunity for more unified software package in the future to achieve exchangeable modelling and simulation blocks;  to get better ideas for what the industrial needs are.It was also a great opportunity to make new contacts and to discus for potential collaboration and futuregrant applications. The event is sponsored by UKCCSC (UK Carbon Capture and Storage Community), ScienceCity Energy Efficiency Project and Warwick GPP in energy.Organisers: Prof J Wang, Dr J D Wojcik (The University of Warwick), Dr H Chalmers and Dr M Lucquiaud (The University of Edinburgh), Dr J Peng (The University of Sussex)Date: 12:00 lunch time 20th March 2012 – 14:00 21st March 2012 Dinner: Scarman House (on University Campus), 20th March 2012Venue: F111, School of Engineering, University of Warwick, CV4 7AL, United KingdomProgramme: The workshop programme consists of presentations and software demonstrations.
  4. 4. 2. WORKSHOP PROGRAMME 1st day, 20th March 2012 Time Venue First floor next12:00 Registration and lunch to F10613:30 Welcoming address remarks… F111 Presentations from academic institutions and industry13:50 Prof Q Gao Tsinghua University Clean Coal Technology in China F11114:20 Prof M Pourkashanian (TBC) University of Leeds tbc F111 Hybrid Coal-fired Power Plants with CO2 Capture: An Economic14:40 Dr M H Wang Cranfield University F111 Evaluation and Dynamic Analysis15:00 Anthony Browne ( Dr Hao Liu) University of Nottingham Modeling of Post Combustion Carbon Capture in Aspen HYSYS F11115:20- First floor next15:40 Coffee break to F10615:40 Greg Kosowski TRAX International Carbon Capture Modeling using ProTRAX F11116:00 Joakim Beck (Prof Eric Fraga) University College London Surrogate modelling for PSA design for carbon capture F111 Addressing technology uncertainties in power plants with post-16:20 Dr Mathieu Lucquiaud University of Edinburgh F111 combustion capture: The need for bespoke CCS power plant models Prof J Wang , Prof Q Gao, University of Warwick and Supercritical Coal Fired Power Plant Dynamic Responses and Control16:40 Dr Y L Xue, Dr J Wojcik, Dr B Al- F111 Tsinghua University for Grid Code Compliance Duri , M Draganescu, S Guo F106/17:20 Demonstration of ProTRAX software package Coffee Break and Networking, tour Engineering at Warwick F111/A20518:30 Workshop Dinner Scarman House 2nd day, 21st March 2012 Time Venue8:30- First floor next9:00 tea/coffee/cakes to F106 Presentations from academic institutions and industry09:00 Dr Zhichun Sun Shenhua Guohua Power Study on the Mechanism of Being Blocked of GGH in Power Plants F111 PSE Ltd and Cranfield09:20 Dr Adekola Lawal Dynamic analysis of coal-fired subcritical power plant with CO2 capture F111 University The effects of parameters of primary frequency control on the09:40 Dr Z X Sun Xi’an Jiaotong University F111 stabilization of grid frequency Development and validation of dynamic models for CO2 capture with10:00 Chet Biliyok Cranfield University F111 chemical Absorption Niall Mac Dowell (Prof Shah,10:20 Imperial College Dynamic modelling of amine-based CO2 capture processes F111 Nilay)10:40- First floor next11:00 Coffee Break to F106 The practical use of selected models of power plant objects in various11:00 M Lipinski IASE F111 control systems of pulverized coal-fired drum boilers.11:20 Daniel Friedrich University of Edinburgh Efficient simulations of general adsorption cycles F111 Dr J Wood, Prof J Wang, Y University of Birmingham Modelling of Pre-Combustion Carbon Dioxide Capture and Power Plant11:40 F111 Wang, S Caldwell and University of Warwick Cycle at IGCC Power Stations First floor next12:20 Lunch to F106 Small meetings for further discussions –13:00 after the main workshop
  5. 5. 3. ABSTRACTS 1st Day, 20th March 2012Hybrid Coal-fired Power Plants with CO2 Capture: An Economic Evaluation andDynamic Analysis Meihong Wanga, Ye Huangb and Adekola Lawala,c a Process Systems Engineering Group, School of Engineering, Cranfield University, Bedfordshire, MK43 0AL, UK. b Centre for Sustainable Technologies, School of the Built Environment, University of Ulster, UK, BT37 0QB c Process Systems Enterprise Ltd, 26-28 Hammersmith Grove, London W6 7HA, UKPost-combustion capture by chemical absorption using monoethanolamine (MEA) solvent is well suited fortreating flue gas streams with low CO2 partial pressures typical of coal-fired power plants. The drawback ofthis process is the high energy requirement for solvent regeneration. However, it requires minimalmodifications to the combustion process and is thus well suited for retrofit options.The oxyfuel process produces a flue gas stream that has a high CO2 partial pressure which makes CO2separation considerably easier. However, the Air Separation Unit (ASU) would require large quantities ofenergy to generate the amounts of oxygen needed for the conventional oxyfuel process. In addition,significant modifications to the boiler are required when firing pulverized fuel in a concentrated oxygenstream instead of air.Doukelis et al. (2009) show that there could be benefits in a combination of these two types of CO 2 capturetechnologies, resulting in a partial oxyfuel mode in the furnace and the post-combustion solvent scrubbing.They suggested that this option may be particularly beneficial when retrofitting existing power plants.This study investigates (a) the economic evaluation as presented in Huang et al. (2012); (b) the operation ofthe chemical absorption process downstream an enhanced-O2 coal power plant using dynamic modelling andsimulation as presented in Lawal et al. (2011).Keywords: Post-combustion, CO2 capture, Pulverized coal power plant, oxy-fuel combustion, Chemicalabsorption, MEA, Dynamic modellingModelling of Post Combustion Carbon Capture in Aspen HYSYS Anthony Browne University of NottinghamThis presentation describes the process for, and initial outcomes of modelling a Post Combustion CarbonCapture (PCC) system within Aspen HYSYS V7.1 where both technical and economic estimations arenecessary. The work has highlighted a number of key knowledge areas to be developed in order for improvedtechnical modelling and cost estimation. Notably a better understanding of how Aspen HYSYS utilises thechemical models within it’s Amines Property Package, and the replacement of generic costs for steam andprocess water.A system treating 5% of the flue gas stream from a 500MW coal fired power station, utilising aqueous MEA isdescribed. The model estimates costs of £0.15 per Kg of CO2 captured with total fixed costs of £23million withannual operating costs of £25million. This represents an additional cost of £0.12 per KWH of electricitygenerated.
  6. 6. Carbon Capture Modeling using ProTRAX Greg Kosowski TRAX InternationalCapturing the carbon dioxide emitted from fossil-fired power plants will be necessary if targeted reductions incarbon emissions are to be achieved. One method of burning coal in utility boilers that simplifies the carboncapture process is called oxy-combustion. During the oxy-combustion process, coal is burned in oxygeninstead of air; this results in a flue gas stream consisting almost entirely of water vapor and carbon dioxide.Standard industrial equipment can then be used to isolate the carbon dioxide and prepare it for discharge intoa pipeline.The TRAX Corp. is currently working with a utility partner to develop a dynamic simulation of an oxy-combustion power plant and subsequent carbon dioxide capture. This dynamic plant model will be used for:  Process design and evaluation  Control system design  Assessment of the impact of carbon capture equipment on plant dynamics  Operator trainingThis presentation will describe the overall project, current status, problems encountered, and remainingwork, with an emphasis on the carbon capture process.Surrogate modelling for PSA design for carbon capture Joakim Beck University College LondonPressure swing adsorption (PSA) is a cyclic adsorption process for gas separation, and its design is a matter ofstudy for various applications. Much attention has been devoted towards the simulation and optimisation ofvarious PSA cycles. PSA beds are described with hyperbolic/parabolic partial differential algebraic equations,and the separation performance should be assessed at cyclic steady state (CSS).This talk presents a surrogate based optimisation approach based on kriging to reduce computational expensein the design of PSA systems. The numerical tests are conducted to demonstrate the results of the approachwhen used with a genetic algorithm, with a multi-start sequential quadratic programming method, and withan efficient global optimisation algorithm, and to illustrate the effectiveness in addressing the computationalexpense associated with the design of a PSA system through computer simulation and optimisation. The useof the surrogate modelling approach was shown to have a significantly faster acceleration in the search forquality designs compared to a conventional genetic algorithm.The underlying case study is the design of a Dual-piston PSA system to separate a binary mixture of N2 andCO2, which is an interesting application for post-combustion carbon capture.
  7. 7. Addressing technology uncertainties in power plants with post-combustion capture:The need for bespoke CCS power plant models Mathieu Lucquiaud The University of EdinburghVery little underpinning research has been undertaken to develop the approaches required to mitigate ormanage risks associated with technology uncertainty in CCS power plants. Instead, most of the currentresearch on CO2 capture from power stations is typically focused on operation of the power cycle and thecapture plant with the assumption of a fixed technology throughout the life of the plant.This paper examines, at a generic level, the scope for modelling power plants with post-combustion CO2capture to future-proof their hardware against technology developments so that they are able to incorporateimprovements. The quantitative analysis considers the case study example of pulverised coal plants with post-combustion CO2 capture using flue gas wet scrubbing with liquid solvents since this technology is likely to beused on many of the first CCS plants and is inherently upgradable through replacement of the solvent. Amodelling approach is presented that identifies critical pieces of hardware by screening future SupercriticalCoal Fired Power Plant Dynamic Responses and Control for Grid Code ComplianceStudy of Supercritical Coal Fired Power Plant Dynamic Responses and Control forGrid Code Compliance Prof Jihong Wanga, Dr Jacek D Wojcika, Dr Yali Xueb a University of Warwick, UK. b Tsinghua University, ChinaThis presentation summaries the EPSRC funded research project in supercritical power plant modelling,simulation and Grid Code compliance study. This is a research project joint between the Universities ofWarwick and Birmingham and two universities in China – Tsinghua University and North China Electric PowerUniversity. The presentation gives a brief introduction to the history of power plant simulation conducted byTsinghua University, as well as the principle and functions of a power plant simulator. Then several key issuesare addressed in developing a supercritical pulverized coal (SCPC) power plant simulator based on the featureof SCPC power plant. The preliminary progress of this project is reported, including the simulation scope,software/hardware structure, modelling method of key devices (take start-up steam/water separator as anexample), control system model and human-machine interface development.
  8. 8. 2nd Day, 21st March 2012Study on the Mechanism of Being Blocked of GGH in Power Plants Dr. Zhichun Sun Shenhua Guohua PowerMore than 50% of wet flue gas desulphurization system thermal power generating units set gas gas heater(GGH). In practical operation, GGH plug causes pressure increasing, leading to serious boosting fan stall, boilertrip; and affecting the safety of plant operation, economy and environmental benefits. For solving thecongestion problems of GGH, the blocking mechanism of GGH, GGH scale composition, mist eliminatorperformance, the jet bubble reacter (JBR) control features and so on have been studied.First of all, it has been found that GGH scale is derived from the gypsum slurry carried by the net flue gas byanalyzing phase and elemental of the GGH different side of the scale composition. Based on the power plantsin Taishan and Dingzhou velocity field throughout the desulfurization system numerical simulation andexperimental verification, it has been found that the velocity field before demister uneven distribution of fluegas velocity deviation from the best defogging efficiency demister area limestone slurry flue gas carried byleading to the increase GGH jam.The experiment of various parameters demister such as plate type, plate spacing, gas flow rate, effects on theefficiency demister has been performed, with arc-shaped plate and folded plate flue gas flow rate range ofhigh defogging 4m/s ~ 8m/s. The second brought in demister accurs when the fluegas flow rate is higher than8m/s, leading the efficiency to a rapid decline. Two layout arc-Pack 26-20 combinations of blade Taishanpower plant is more efficient than the average fog removing the original plate by about 8%; and threecombinations with two demister combination have no significant improvement. Numerical simulation ofdemister shows that as the droplet diameter increases, the defogging efficiency increases rapidly. Foldedplate demister fits for the separation of large droplets. Arc-shaped plate demister fits for the removal of tinydroplets. Droplets on the particle size of 20 microns or less are in the low efficiency of removal. JBR reactorexperiment shows that: with the JBR run liquid level increases, the generation of small droplets remarkablelyreduces; and the concentration of small droplets can be reduced by increasing the level of grid. In view of theactual operation of JBR 125mm, it’s concluded that the best grid installation location is 50mm from the jetorifice department.On the basis of the mechanism, a technology of tiny droplets online test, desulfurization tower tiny dropletscontroling technology, demister plate coupled with the defogging efficiency technology, GGH heat exchangercleaning technology and other key technology components have been developed. GGH plug of solution hasbeen put forward, and the application in Taishan, Dingzhou and other large-scale thermal power plantengineering has got good results.keywords:gas-gas heater, mist eliminators, numerical simulation, chemical cleaning
  9. 9. Demonstrating full-scale post-combustion CO2 capture integrated with a pulverizedcoal power plant Adekola Lawala,b and Meihong Wanga a Process Systems Engineering Group, School of Engineering, Cranfield University, Bedfordshire, MK43 0AL, UK. b Process Systems Enterprise Ltd, 26-28 Hammersmith Grove, London W6 7HA, UKFossil-fuel power plants are the largest single source of anthropogenic CO2 emissions. Increasing atmosphericconcentration of CO2 has been linked to problems like climate change and the acidification of the oceans.Carbon capture and storage can be used to mitigate CO2 emissions from such power plants. This comes,however, at additional investment and operating costs which are quite significant. This presentation providesinsights into the design and operation of full-scale post-combustion CO2 capture integrated with a pulverizedcoal power plant through dynamic modelling and simulation. The gPROMS® (Process Systems Enterprise Ltd.)advanced process modelling environment has been used to implement the work. The development andvalidation of the dynamic models of the power plant and CO2 capture plant are described. In addition, thescale-up of the CO2 capture plant from pilot plant scale (where it was validated) to full scale is discussed.Subsequently the manner in which the two plant models were linked is discussed. A floating IP/LP crossoverpressure configuration is used. A throttling valve is included between the LP turbine and draw-off point toprevent pressures at the crossover from dropping below required levels in the reboiler for solventregeneration. The flue gas from the power plant is cooled and treated before it is sent to the CO2 captureplant. A number of steady state and dynamic case studies are investigated using the integrated model. Resultsshow the CO2 capture plant’s slower response compared with the power plant and possible interactionsbetween control systems of both processes.The design and operation of full-chain CCS systems are currently being investigated in an Energy TechnologiesInstitute-funded project by a consortium comprising the E.ON, EDF, Rolls-Royce, Process Systems Enterprise,CO2DeepStore and E4tech. This presentation includes descriptions of the activities towards the developmentof the full-chain CCS modelling tool-kit.Keywords: Post-combustion, CO2 capture, Pulverized coal power plant, Chemical absorption, MEA, Dynamicmodelling.The effects of parameters of primary frequency control on the stabilization of gridfrequency Zhixin Sun Xi’an Jiaotong University, ChinaPower system stability is considered as an important problem for system operation, and power systemfrequency is one of the vital parameters in power system operation. The deviation of grid frequency must becontrolled within an allowable range under any disturbances. System frequency is regulated through primaryand secondary frequency controls generally. Primary frequency control (PFC) regulates the fast quantity ofload in dynamic process, and secondary frequency control regulates the slow quantity of load. Thus, whenturbulence occurs in power system, PFC is of great importance in the first several seconds.Computer simulation is the most effective way for stabilization analysis of grid frequency. In this study,mathematical model for stabilization analysis is established. The dynamic process of boiler is very slowcomparing with the dynamic process of steam turbines. Since the PFC works only at the first several seconds,the variations of boiler parameters are nearly neglectable. Hence, the modeling of boiler is omitted and onlythe steam turbines and the governing system are modeled. The constants in the models can be obtained byparameter identification from dynamic test data.
  10. 10. Dead band and speed droop are the most important parameters of PFC, which may affect the grid frequencystability greatly. Thus their effects on stability of grid frequency are investigated respectively.The simulation results show that:  When the capacity of units with 2rpm dead band is 90% and the capacity of units with 3rpm dead band is 10%, the allowed load disturbance is 8.2%. As the dead band decreases, the maximum allowed load disturbance increases, the system oscillation decreases, and the maximum amplitude of frequency response decreases obviously. When unit capacity with small dead band increases, the dynamic characteristic gets better, overshoot becomes smaller, the response speed is faster, and system reaches steady state more quickly.  When load disturbance occurs, units with small speed droop would suffer larger power variation, which is a threat to the safety of unit. The overshoot and stabilization time of frequency for units with large speed droop would decrease, but their steady error would increase. Therefore, the speed droop for each unit should be set closely to protect the unit’s safety and ensure stable system frequency.Dynamic Modelling and Validation of Post-combustion Chemical Absorption CO2Capture Plant Chechet Biliyoka, Adekola Lawalb, Meihong Wanga a Process Systems Engineering Group, School of Engineering, Cranfield University, Bedfordshire, MK43 0AL, UK. b Process Systems Enterprise Ltd, 26-28 Hammersmith Grove, London W6 7HA, UKThe development of dynamic models for post-combustion CO2 capture with chemical absorption usingmonoethanolamine (MEA) has done been done in the past. Such models are only validated at steady-state,which means the models can predict process performance at different operating points. However, withoutdynamic validation, there is no guarantee that the model in question would predict dynamic responsesaccurately. This paper presents a dynamic validation study. The absorber and regenerator were modelledbased on the two-film theory with a rated-based approach and chemical reactions assumed to be atequilibrium. PSE’s gPROMS® advanced process modelling environment is used to implement work. ElectrolyteNRTL activity coefficient model in Aspen Properties is used to describe both the chemical equilibrium and theVapour-Liquid equilibrium, and also supplied physical properties for the system. The plant data logs used forvalidation is provided by the Separation Research Programme of the University of Texas at Austin. Three caseswere considered for comparison, the first a conventional process and the other two incorporating anintercooler in the absorber to enhance CO2 absorption. The absorber temperature profile, the capture leveland the reboiler duty were used for comparison. It is observed that the model satisfactorily predicts the pilotplant behaviour and response resulting from a process input such as a step change in flue gas or lean solventflow rate or a disturbance like fluctuating CO2 concentration in the flue gas. In fact the model is able to handlemultiple process inputs and disturbances, producing trends in close agreement with the pilot plant data logs.Keywords: Post-combustion, CO2 capture, Chemical absorption, MEA, Intercooler, Dynamic modelling, Modelvalidation.Dynamic modelling of amine-based CO2 capture processes Niall Mac Dowell Centre for Process Systems Engineering, Imperial College LondonIn this contribution, we present dynamic models of amine-based CO2 capture processes. Reactions areconsidered to be equilibrium, and are modelled using the SAFT-VR equation of state. We use a physicalinterpretation of the many interactions occurring in the fluid, providing a significant simplification over thetraditional chemical interpretation. In this way, we avoid the use of enhancement factors, significantlyreducing our dependence on experimental data. Heat and mass transfer phenomena are described with thetwo-film theory. The steady state performance of the dynamic model is validated using pilot-plant data. Wepresent a study on the effect of flue-gas humidity on the position of the mass transfer zone within the
  11. 11. absorption column. We then use our models to identify the cost-optimal degree of capture for a 660MW coal-fired power station. A highly non-linear cost-versus-degree of capture relationship is observed. We study theeffects of changing carbon and electricity prices on the cost-optimal degree of capture, and considerimplications towards legislation formulation. We go on to on to present a study on the dynamic operation ofthe solvent regeneration process. We account for the real-time cost compromise between electricity/energyand carbon costs and show how the application of advanced control techniques can result in enhancedprocess flexibility and allow us to realise a significant reduction in the operational cost. All process models areimplemented in gPROMS, with control models implemented in MATLAB.The practical use of selected models of power plant objects in various controlsystems of pulverized coal-fired drum boilers. Mr Mariusz Lipinski Institute of Power Systems Automation Ltd, PolandFires in coal mills are undesirable phenomenon, especially in co-fired biomass. Biomass clusters in grindingchamber, which leads to ignition and fire in coal mill. In order to face this problem Institute of Power SystemsAutomation Ltd (IASE Ltd.) created detection and prevention system of fire and ignition, which has twoelements:1. Identify the loss of fuel in the coal mill system based on coal-mill model.The system creates the difference between modeled power of mill engine and actual power of mill engine andthen makes comparison with defined threshold value (in the overrun indicator with set hysteresis). When thelimiting value is exceeded the logic signal is generated informing about coal shortage. The signal is stored anddisplayed, as well as practically used in the process of disturbance elimination. This information is vital,because disturbances in the fuel flow to the boiler tend to destabilize work of most control systems, leadingto creation of exaggerated, harmful deviations in technological parameters and their nominal values.2. Fire detection system based on the coal-mill model.The system enabling ignition and fire detection in coal-mills is based on comparison of the air-dust mixturetemperature with the modeled temperature of the air-dust mixture. The logic signal informing about overheatof the mill is created when the defined threshold value (in the overrun indicator with set hysteresis) isexceeded by the signal relating the difference in temperatures between the air-dust mixture and its model(obtained from the heat balance deviations due to disturbances not included in the created mill model). It isthen successfully used in the system protecting the mill against the propagation of a threat (fire), e.g. throughintroduction of chemically neutral gas or steam. Implementation of the above system is especially effective insystems with inertial measurement devices of the air-dust mixture temperature.Efficient simulations of general adsorption cycles Daniel Friedricha, Maria-Chiara Ferraria, Peter Reidb and Stefano Brandania a Institute for Materials and Processes, School of Engineering, University of Edinburgh b College of Science and Engineering, University of EdinburghPressure swing adsorption (PSA) processes are receiving considerable interest as separation process forCarbon Capture and Storage (CCS) due to the potential for higher productivity and a lower energy penalty. Tofulfil this potential adsorption based separation processes require adsorbent materials and process conditionstailored to the specific separation. Both aspects depend on a large number of parameters: i) thecharacteristics of novel adsorbent materials, such as kinetic and equilibrium parameters, have to be estimatedfrom experiments; ii) the adsorption process depends critically on the process conditions, such as cycleconfiguration, column and adsorbent sizes, temperature, pressure and flow rates. Hence a solelyexperimental approach is not feasible and it is important to support experiments by accurate and efficientsimulation tools. Once these tools are validated they can be used for the parameter estimation for noveladsorbents and for the optimisation of the process conditions.
  12. 12. However, adsorption processes are inherently dynamic and even the simplest models lead to a system ofPartial Differential Equations (PDEs). Thus it is challenging to develop accurate computational tools which arefaster and more economical than the actual experiments.In this contribution we show the implementation of efficient numerical tools for the simulation of pressureswing adsorption cycles coupled with numerical strategies for the calculation of Cyclic Steady State (CSS). Theimplementation is based on a model hierarchy which is developed from the mass, momentum and energybalances in the gas and solid phases and leads to a set of models with increasing complexity. The system ofPDEs resulting from the model hierarchy are solved with state-of-the-art discretisation schemes, which aretailored to the character of the governing equations. PDEs with a strong hyperbolic character, i.e. mass andenergy transport in the gas phase, are discretised with the Finite Volume Method (FVM) with a flux-limitingscheme; this guarantees the conservation of mass and energy as well as correct tracking of the moving fronts.The mass and heat transfer in the adsorbent materials is discretised with the orthogonal collocation on finiteelements method which is a very efficient method for problems with steep, stationary gradients. The largesystem of Differential Algebraic Equations (DAEs) is solved with the SUNDIALS solver suite from the LawrenceLivermore National Laboratory.However, even with these sophisticated discretisation schemes, the computation times to reach CSS are longdue to the non-linear system behaviour as well as the complex nature of the system. We use severalstrategies to reduce the computation time: i) model hierarchy, use the simplest model which accuratelydescribes the problem; ii) model and discretisation switch: initial simulation with simpler model, e.g. LDFinstead of full diffusion model, and lower resolution discretisation; iii) implementation of numericalacceleration schemes, e.g. extrapolation or Newton method, which accelerate the convergence to CSS; iv)interpolation of the starting conditions from previous simulation runs.The integration of the simulation tool with a simple graphical user interface for the simulation of SkarstromPSA/VSA cycles and future developments of the simulation tool are discussed.Modelling of Pre-Combustion Carbon Dioxide Capture and Power Plant Cycle at IGCCPower Stations. Prof. Jihong Wanga, Dr Joe Woodb, Dr Bushra Al-Durib, Simon Caldwellb, Yue Wanga. University of Warwick, University of Birmingham.CO2 capture and storage has attracted significant recent interest as a potential greenhouse gas mitigationstrategy. Although CO2 capture could help to reduce greenhouse gas emissions, it comes at a cost of reducedpower station efficiency, as well as the capital and operating costs of providing the capture equipment. Pre-combustion capture is proven industrial scale technology, but needs three times scale up for power plants.There are challenging issues which need to be addressed before this highly promising cleaner coal technologycan be implemented in a large scale. Consequently, there is a need for model based systematic study of theperformance of the pre-combustion capture unit, and moreover integration with overall power plantperformance, in order to optimise the whole plant process performance. In order to address this overallproblem, it has been broken down in to two work packages:Modelling and simulation study of CCS (University of Birmingham). The capture of carbon dioxide is beingsimulated using gProms software. The models are being constructed to include a dynamic model of pressureswing adsorption processes. These encompass unsteady state mass and energy balances, coupled with theLangmuir isotherm and Linear Driving Force Model of Mass Transfer. The preliminary experimental data havebeen validated using a laboratory scale packed bed reactor and adsorption data for zeolite 13X, beforemoving on to study adsorption over activated carbons.Modelling and simulation study of IGCC power generation process (University of Warwick). A completemathematical model for the whole IGCC power generation process is being developed with the pre-combustion process integrated. The work started by revisiting the previous research for mathematical modelof “power block” (from a turbine to electricity) of gas fired power plants developed at Tsinghua University inChina. Initial studies at Warwick have used Thermolib software to study models of the gas turbine, heatrecovery steam generator, water gas shift reactor and gas turbine heat recovery module.
  13. 13. This work is part of a research programme between 5 universities namely Nottingham, Birmingham, UCL andWarwick (in the UK) and Tsinghua University (Beijing, China).Following an introduction to the overall project, a detailed progress update will be given by PhD studentsworking on the project.
  14. 14. 4. List of attendees Company Last Name First Name Job TitleCardiff University Mrs Ebereonwu Idegbe Research StudentCostain Mr. saimbi arvinder Power development engineerCoventry University Miss Cazacu Luminita StudentCranfield University Dr. Di Lorenzo Giuseppina Research FellowCranfield University Mr. Biliyok Chet ResearcherCranfield University Mr. OKO Eni PhD StudentCranfield University Dr. Wang Meihong LecturerErasmushogeschool Brussel Mr. Abeloos Stijn StudentImperial College Dr. Mac Dowell Niall Research associateInstitute of Power Systems Mr. Lipinski Mariusz Technical - Research Major SpecialistAutomation LtdInstitute of Power Systems Mr. Kielian Maciej Technical ResearchAutomation Ltd MohammadLeeds University Mr. Vazirian PhD Student MohsenParsons Bricnkerhoff Dr. Foy Kirsten Senior CCS EngineerProcess Systems Enterprise Dr. Lawal Adekola CCS ConsultantProcess Systems Enterprise Mr. Saintey-Howes James Academic Sales (EMEA)Swansea University Dr. Raji Saburi Research fellowSwansea University , UK Dr. Raji Saburi EngineerThe polytechnic of sokoto state Mr. Saidu Isah LecturerTRAX International Mr. Kosowski Greg Director of Engineering AnalysisTsinghua University Ms. Xue Yali Assistant ProfessorTsinghua University Prof. Gao Qirui TeacherUCL Mr. Beck Joakim PhD ResearcherUniversity of Birmingham Mr. Caldwell Simon PhD StudentUniversity of Birmingham Dr. Wood Joseph (Joe) Reader in Chemical Engineering Sanchez del RioUniversity of Edinburgh Miss Maria PhD Student SaezUniversity of Edinburgh Dr Lucquiaud Mathieu Research FellowUniversity of Edinburgh Miss Herraiz Laura PhD StudentUniversity of Edinburgh, IMP Dr. Friedrich Daniel Research FellowUniversity of Exeter Dr. Li Jia Lecturer in Carbon CaptureUniversity of Exeter Dr. Liang Xi Lecturer in Energy PolicyUniversity of Leeds Prof. Pourkashanian Mohamed Head of ETIIUniversity of Nottingham Mr. Demetriades Thomas Research EngineerUniversity of Nottingham Mr. Meghani Bishan EngD studentUniversity of Nottingham Mr. Duwahir Zahras StudentUniversity of Warwick Mr. Dooner Mark PhD StudentUniversity of Warwick Dr. Wojcik Jacek Research FellowUniversity of Warwick Mr. Wang Yue PhD studentUniversity of Warwick Dr Luo Xing Research FellowUniversity of Warwick Ms Mohammadi Blossom StudentUniversity of Warwick Mr. Alexakis Petros MSc StudentUniversity of Warwick Mr. Draganescu Mihai PhD Student
  15. 15. University of Warwick Prof. Parker Evan Professorial Research FellowUniversity of Warwick Prof. MacKay Robert ProfessorUniversity of Warwick Mr. Guo Shen StudentUniversity of Warwick Prof. Wang Jihong ProfessorUniversity of Warwick Dr. Chan Manleung Senior FellowUniversity of Warwick Mr. Liu Hao StudentValia CL College , ANDHERI WEST Mr. Naik Mahesh Assistant ProfessorWarsaw University of Technology Dr. Milewski Jaroslaw Associate ProfessorWarsaw University of Technology Mr. Wolowicz Marcin MSc EngWarsaw University of Technology Mr. Szablowski Lukasz Ph.D. studentWarsaw University of Technology Mr. Bernat Rafał Research AssistantWarsaw University of Technology Mr. Bujalski Wojciech adiunktWarsaw University of Technology Mr. Futyma Kamil PhD studentWarsaw University of Technology Mr. Kucowski Jan research assistantXi‘an Jiaotong University Dr. Sun Zhixin PhD
  16. 16. 5. Total costs Below you can find a table with total workshop costs. The University of Edinburgh was invoiced £3735.37. Table 1 Total workshop costs. Name from Travel Accommodation Meal Other Total1 Licquiad* Mathieu Edinburgh 508.90 - 34.48 - 543.382 Eni Oko Cranfield - 100.80 - - 100.803 Wang Meihong Cranfield - 100.80 - - 100.804 Idegbe Ebereonwu Cardiff - 84.00 - - 84.005 Zahras Duwahir Nottingham 45.00 84.00 - - 129.006 Chechet Biliyok Cranfield 51.40 51.00 - 7.99 110.397 Li Jia Exter 91.50 - - - 91.508 Pourkashanian Mohamed Leeds 63.00 - - - 63.00 Total 759.80 420.60 34.48 7.99 1222.87 * - claims together with Sanchez Maria & Herraiz Laura CATERING people cost Dinner 55 1402.50 st Lunch 1 Day 55 393.50 Tea/coffee+cakes 60 126.00 Tea/coffee 60 60.00 nd Lunch 2 Day 55 302.50 Tea/coffee 60 150.00 Tea/coffee 60 78.00 TOTAL 2512.50 TOTAL 3735.37