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    Mechleri ED, Thornhill NF, Biliyok C, 2014,

    Dynamic simulation and control of post-combustion CO capture with MEA in a gas fired power plant

    , 24th European Conference on Computer Aided Process Engineering (ESCAPE 24), Pages: 619-624, ISSN: 1570-7946

    This paper presents a dynamic model of a post combustion CO capture plant via chemical absorption using monoethanolamine (MEA) for natural gas combined cycle (NGCC) power plants. Insight regarding the process dynamics due to various disturbances caused by the operation of the power plant is presented and a control structure is proposed, based on heuristics. The performance of the proposed control scheme was evaluated by changing the flue gas flow rate which is commonly induced in the operation of power plants such as during start-up, shutdown and cyclic loading. Consideration has also been given to the variations to the control tuning due to the lower composition of CO in NGCC plant compared to coal fired power plants. The results have shown that with the implementation of the proposed control scheme, the flexible operation of the power plant in combination with the capture plant can be maintained. © 2014 Elsevier B.V.

    Romero DD, Graven T-G, Thornhill NF, 2014,

    Investigations on information-rich visualizations to explore process connectivity and causality

    , 24th European Conference on Computer Aided Process Engineering (ESCAPE 24), Pages: 811-816, ISSN: 1570-7946

    Complexity in large-scale chemical processes poses a challenge to engineers who need to understand causality and interconnectivity. Previous work has already taken advantage of the use of visualization for alarm correlation and plant-wide oscillation detection for small scale example processes, but the resulting correlation maps are limited in the number of variables that can be easily managed. This paper proposes a new approach to the visualization of connectivity information, which is capable of representing a large number of connections between process variables and units, as well as process-specific information and alarm history. The novel visualization is based on the Circos framework which is widely used for analysis of connectivity and causality in the field of genomics. The benefit of adapting information-rich visualizations for the field of process systems engineering will be discussed based on an academic use-case. © 2014 Elsevier B.V.

    Romero DD, Graven T-G, Thornhill NF, 2014,

    Towards the Development of a Tool for Visualising Plantwide Dependencies

    , 19th IEEE International Conference on Emerging Technology and Factory Automation (ETFA), Publisher: IEEE
    Romero DD, Thornhill NF, 2014,

    Integration, navigation and exploration of plant topology networks using the property-graph model

    , 2014 IEEE/SICE International Symposium on System Integration, Publisher: IEEE, Pages: 743-748

    Understanding the process topology is essential for many process-systems engineering activities. Previous works in this area have explored the extraction of connectivity and causality knowledge (plant topology) from different sources of engineering data by following qualitative and quantitative methods. A few works, however, have focused on how to integrate, store, and visualize models that can represent the interactions among the different items in a chemical plant. This paper proposes a method for integration, navigation and exploration of topology based on property-graphs, which can support the study of disturbance propagation in chemical plants.

    Xenos DP, Cicciotti M, Bouaswaig AEF, Thornhill NF, Martinez-Botas Ret al., 2014,


    , ASME Turbo Expo: Turbine Technical Conference and Exposition, Publisher: AMER SOC MECHANICAL ENGINEERS
    Xenos DP, Kopanos GM, Pistikopoulos EN, Thornhill NF, Cicciotti Met al., 2014,

    Operational optimization of compressors in parallel considering condition-based maintenance

    , 24th European Conference on Computer Aided Process Engineering (ESCAPE 24), Pages: 1213-1218, ISSN: 1570-7946

    This paper suggests an optimization framework for the process and maintenance operations of a network of compressors. The health condition of a compressor varies during its operation due to mechanically degrading effects (e.g. fouling and corrosion) which results in decreasing performance and increasing power consumption. Currently, the industrial maintenance strategy considers preventive maintenance cycles, i.e. maximum running time of the compressors. Typically, the maintenance schedule of a compressor is examined separately without considering the interactions between the compressor and the overall process. In this work, the increase in the power consumption of each compressor is linearly correlated to the periods of continuous operation, and the results demonstrate that the simultaneous optimization of condition-based maintenance and operation reduces the overall costs. © 2014 Elsevier B.V.

    Xenos DP, Thornhill NF, Cicciotti M, Bouaswaig AEFet al., 2014,

    Preprocessing of Raw Data for Developing Steady-State Data-Driven Models for Optimizing Compressor Stations

    , United-Kingdom-Automatic-Control-Council (UKACC) 10th International Conference on Control (CONTROL), Publisher: IEEE, Pages: 438-443
    Yang Y, Farid SS, Thornhill NF, 2014,

    Data mining for rapid prediction of facility fit and debottlenecking of biomanufacturing facilities

    , JOURNAL OF BIOTECHNOLOGY, Vol: 179, Pages: 17-25, ISSN: 0168-1656
    Barocio E, Pal BC, Fabozzi D, Thornhill NFet al., 2013,

    Detection and visualization of power system disturbances using principal component analysis

    , IREP Symposium: Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid, IREP 2013

    In this paper, a multivariate statistical projection method based on Principal Component Analysis (PCA) is proposed for detecting and extracting unusual or anomalous events from wide-area monitoring data. The method combines PCA with statistical test to detect and analyze anomalous dynamic events from measured data. Simulations based on a transient stability model of the New England Test System are used to demonstrate the ability of the method to detect and extract system events from wide-area data. © 2013 IEEE.

    Budinis S, Fabozzi D, Thornhill NF, 2013,

    A control technique based on compressor characteristics with applications to carbon capture and storage systems

    Introduction: Compressors are vital pieces of equipment within the process industry and they are going to be important in the next few years for dealing with carbon dioxide from carbon capture and storage (CCS) systems. Compressor characteristics (also called compressor maps) represent the operation of the machine in a graphical form. They are provided by the manufacturer of the compressor together with the machine and they are generated via experiments at reference conditions. The most common compressor characteristics represent the pressure ratio of the machine (i.e. the ratio between the output pressure and the input pressure) as a function of inlet flowrate and rotational shaft speed. For a single speed machine there is a single characteristic curve rather than a map (where instead the same function is plotted more times for different shaft speeds). While the inlet flowrate of the machine is generally a boundary condition of the compression system, the rotational shaft speed is very often the manipulated variable of the control system for a variable speed compressor. State of the art and open questions: Steady state and dynamic simulations are routinely used by academics and practitioners to represent and analyse the behaviour of a compressor during different activities such as design, control and optimization of the machine. In the literature there are many examples of compressor dynamic models (Botros et al., 1991, Venturini, 2005, Camporeale et al., 2006). Different techniques have been proposed for simulation and control applications. However the models found in the literature do not rely much on the compressor characteristics. The reason for that is that they usually represent simple compressors i.e. single stage lab-size machine that can be tested in a lab to provide the parameters needed for the model calibration. This type of machine is closer to an ideal compressor than an industrial compressor. For this reason a simplified model cannot capture accurate

    Cecilio IM, Ersdal AM, Fabozzi D, Thornhill NFet al., 2013,

    An Open-Source Educational Toolbox for Power System Frequency Control Tuning and Optimization

    , 4th IEEE/PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Publisher: IEEE, ISSN: 2165-4816
    Cicciotti M, Geist S, Schild A, Martinez-Botas RF, Romagnoli A, Thornhill NFet al., 2013,

    Systematic one zone meanline modelling of centrifugal compressors for industrial online applications

    , ASME Turbo Expo 2013, San Antonio, Texas, June 3-7 2013, paper GT2013/95821

    For developing model-based online applications such as condition monitoring and condition-based maintenance or real-time optimization, highly representative and yet simple physical models of centrifugal compressors are necessary. Previous investigations have shown that in this context meanline models represent a valid alternative to the commonly used empirical based modelling methodologies such as polynomial regression models or artificial neural networks. This paper provides a methodology for tailoring meanline models to multistage centrifugal compressors by appropriate selection and adaptation of loss correlations. Guidelines for the selection of the boundary conditions are also provided. The potential of the methodology is demonstrated in the Proof-of-concept section using two sets of data obtained from an air multistage centrifugal compressor operated in BASF SE, Ludwigshafen, Germany. The first set of data was used to calibrate the model whereas the second one was used for validation. The model results show that the predictions of stagnation temperature and pressure at the outlet of the stage deviate from the measurements respectively 0.15-3% and of 0.66-1.1% respectively. The results are discussed in the current paper. Copyright © 2013 by ASME.

    Ersdal AM, Imsland L, Cecilio IM, Fabozzi D, Thornhill NFet al., 2013,

    Applying model predictive control to power system frequency control

    , 4th IEEE/PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)

    Model predictive control (MPC) is investigated as a control method which may offer advantages in frequency control of power systems than the control methods applied today, especially in presence of increased renewable energy penetration. The MPC includes constraints on both generation amount and generation rate of change, and it is tested on a one-area system. The proposed MPC is tested against a conventional proportional-integral (PI) controller, and simulations show that the MPC improves frequency deviation and control performance. © 2013 IEEE.

    Fabozzi D, Thornhill NF, Pal BC, 2013,

    Frequency Restoration Reserve Control Scheme with Participation of Industrial Loads

    , IEEE Grenoble PowerTech (POWERTECH) Conference, Publisher: IEEE
    Ikram W, Thornhill NF, 2013,

    Towards the development of a wireless network node lifetime calculation tool

    , IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2013, ISSN: 1946-0740

    The designers, optimizers and maintenance personnel of a wireless sensor network are frequently challenged by system level energy budget considerations. Minimizing the need for battery replacement is often the design goal while ensuring that a balance is maintained between capability and current consumption in order to address application needs. In this paper, a tool is introduced which can be used to calculate the lifetime of a battery operated wireless node. It allows the user to configure different wireless sensor platforms, select a battery of choice, and specify the application which needs to be executed over the configured hardware. As a result, the tool computes an estimate for the expected lifetime of the wireless sensor node. Furthermore, the tool also provides a detailed overview of the energy consumed by each component during a duty cycle. © 2013 IEEE.

    Kunjumuhammed LP, Pal BC, Anaparthi KK, Thornhill NFet al., 2013,

    Effect of Wind Penetration on Power System Stability

    , General Meeting of the IEEE-Power-and-Energy-Society (PES), Publisher: IEEE, ISSN: 1944-9925
    Kunjumuhammed LP, Pal BC, Thornhill NF, 2013,

    A Test System Model for Stability Studies of UK Power Grid

    , IEEE Grenoble PowerTech (POWERTECH) Conference, Publisher: IEEE
    Schleburg M, Christiansen L, Thornhill NF, Fay Aet al., 2013,

    A combined analysis of plant connectivity and alarm logs to reduce the number of alerts in an automation system

    , JOURNAL OF PROCESS CONTROL, Vol: 23, Pages: 839-851, ISSN: 0959-1524
    Sharifzadeh M, Thornhill NF, 2013,

    Integrated design and control using a dynamic inversely controlled process model

    , COMPUTERS & CHEMICAL ENGINEERING, Vol: 48, Pages: 121-134, ISSN: 0098-1354
    Sorensen E, Thornhill NF, Akinmolayan F, 2013,

    Predictive modelling of a conventional clean water treatment work

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