Thornhill, Nina F. - Imperial College London - Department of Chemical Engineering

个人简介

2014-now Director of MSc in Process Automation, Instrumentation and Control 2013-2016 Executive Team member and Director of Undergraduate Studies, Department of Chemical Engineering. 2012, 2013 Secondments with ABB Corporate Research in Poland. 2007-now ABB/Royal Academy of Engineering Chair of Process Automation, Department of Chemical Engineering. 1984-2007 University College London, Department of Electronic and Electrical Engineering: Lecturer (1984), Senior Lecturer (1991), Professor (2003) and Deputy Head of Department (2006). 2005 Secondment with ABB Corporate Research in Norway. 2001-2005 PhD (part-time), University College London. Thesis title: "Detection and diagnosis of distributed disturbances in chemical processes". 2001 Sabbatical leave at Department of Chemical Engineering, University of Alberta, Edmonton, Canada. 1995 Passed the Design Examination of the Institution of Chemical Engineers. 1992-1995 Royal Society Industry Fellowship with BP Oil and BP Chemicals. 1984-2007 University College London, Department of Electronic and Electrical Engineering. 1983-1984 British Aerospace, Space and Communication Division. Control Systems Engineer. 1982-1983 MSc Control Systems, Department of Electrical and Electronic Engineering, Imperial College London. 1976-1982 ICI Plastics Division, Research Physicist engaged in product analysis and development. 1973-1976 BA in Physics, University of Oxford.

研究领域

Process automation Advanced dynamic signal analysis of industrial process measurements for detection and diagnosis of plant-wide disturbances Analysis and optimization taking account of process units, utilities, rotating equipment and electrical systems Analysis of the interactions between large industrial electricity consumers and the electricity transmission grid Examining the impact of wireless technology in process automation Capturing and analyzing process connectivity and topology from P&IDs Applications in oil and gas, chemicals, and electricity supply Coordination of FP7 and Horizon 2020 projects Real-Smart, Energy-Smartops and PRONTO

近期论文

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Xenos DP, Mohd Noor I, Matloubi M, et al., 2016, Demand-side management and optimal operation of industrial electricity consumers: An example of an energy-intensive chemical plant, Applied Energy, Vol:182, ISSN:0306-2619, Pages:418-433 Cecilio IM, Ottewill JR, Fretheim H, et al., 2016, Removal of transient disturbances from oscillating measurements using nearest neighbors imputation, Journal of Process Control, Vol:44, ISSN:0959-1524, Pages:68-78 Budinis S, Thornhill N, 2016, Supercritical fluid recycle for surge control of CO2 centrifugal compressors, Computers & Chemical Engineering, Vol:91, ISSN:0098-1354, Pages:329-342 Chioua M, Bauer M, Chen S-L, et al., 2016, Plant-wide root cause identification using plant key performance indicators (KPIs) with application to a paper machine, Control Engineering Practice, Vol:49, ISSN:0967-0661, Pages:149-158 Cecilio IM, Ottewill JR, Thornhill NF, 2016, Determining the propagation path of a disturbance in multi-rate process and electromechanical systems, Control Engineering Practice, Vol:49, ISSN:0967-0661, Pages:187-193 Ersdal AM, Imsland L, Uhlen K, et al., 2015, Model predictive load–frequency control taking into account imbalance uncertainty, Control Engineering Practice, Vol:53, ISSN:0967-0661, Pages:139-150 Bauer M, Horch A, Xie L, et al., 2016, The current state of control loop performance monitoring - A survey of application in industry, Journal of Process Control, Vol:38, ISSN:0959-1524, Pages:1-10 Cicciotti M, Xenos DP, Bouaswaig AEF, et al., 2015, Physical modelling of industrial multistage centrifugal compressors for monitoring and simulation, Proceedings of the Institution of Mechanical Engineers Part C - Journal of Mechanical Engineering Science, Vol:229, ISSN:0954-4062, Pages:3433-3448 Xenos DP, Lunde E, Thornhill NF, 2016, Optimal Operation and Maintenance of Gas Compressor Stations: An Integrated Framework Applied to a Large-Scale Industrial Case, Journal of Engineering for Gas Turbines and Power - Transactions of the ASME, Vol:138, ISSN:0742-4795 Xenos DP, Kopanos GM, Cicciotti M, et al., 2016, Operational optimization of networks of compressors considering condition-based maintenance, Computers & Chemical Engineering, Vol:84, ISSN:0098-1354, Pages:117-131 Barocio E, Pal BC, Thornhill NF, et al., 2015, A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis, IEEE Transactions on Power Systems, Vol:30, ISSN:0885-8950, Pages:2902-2912 Kopanos GM, Xenos DP, Cicciotti M, et al., 2015, Optimization of a network of compressors in parallel: Operational and maintenance planning - The air separation plant case, Applied Energy, Vol:146, ISSN:0306-2619, Pages:453-470 Xenos DP, Cicciotti M, Kopanos GM, et al., 2015, Optimization of a network of compressors in parallel: Real Time Optimization (RTO) of compressors in chemical plants - An industrial case study, Applied Energy, Vol:144, ISSN:0306-2619, Pages:51-63 Cecilio IM, Ottewill JR, Fretheim H, et al., 2015, Multivariate Detection of Transient Disturbances for Uni- and Multirate Systems, IEEE Transactions on Control Systems Technology, Vol:23, ISSN:1063-6536, Pages:1477-1493 Cecilio IM, Ottewill JR, Pretlove J, et al., 2014, Nearest neighbors method for detecting transient disturbances in process and electromechanical systems, Journal of Process Control, Vol:24, ISSN:0959-1524, Pages:1382-1393 Ikram W, Petersen S, Orten P, et al., 2014, Adaptive Multi-Channel Transmission Power Control for Industrial Wireless Instrumentation, IEEE Transactions on Industrial Informatics, Vol:10, ISSN:1551-3203, Pages:978-990 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, ISSN:0168-1656, Pages:17-25 Schleburg M, Christiansen L, Thornhill NF, et 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, ISSN:0959-1524, Pages:839-851 Sharifzadeh M, Thornhill NF, 2013, Integrated design and control using a dynamic inversely controlled process model, Computers & Chemical Engineering, Vol:48, ISSN:0098-1354, Pages:121-134 Stonier A, Pain D, Westlake A, et al., 2013, Integration of Stochastic Simulation with Multivariate Analysis: Short-Term Facility Fit Prediction, Biotechnology Progress, Vol:29, ISSN:8756-7938, Pages:368-377