Publications
461 results found
Papageorgiou LG, Georgiadis MC, 2011, Preface - Volume 3: Supply Chain Optimization, Process Systems Engineering, Vol: 3
Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas. It spans a whole range of length scales seen in manufacturing industries, from molecular and nanoscale phenomena to enterprise-wide optimization and control. As such, this will appeal to a broad readership, since the topic applies not only to all technical processes but also due to the interdisciplinary expertise required to solve the challenge. The ultimate reference work for years to come. © 2008 Wiley-VCH Verlag GmbH & Co. KGaA.
Koutinas M, Kiparissides A, Silva-Rocha R, et al., 2011, Linking genes to microbial growth kinetics-An integrated biochemical systems engineering approach, METABOLIC ENGINEERING, Vol: 13, Pages: 401-413, ISSN: 1096-7176
- Author Web Link
- Cite
- Citations: 22
Li Z, Chang L, Gao D, et al., 2011, Hydrogen Energy Systems, Vol: 5, Pages: 125-157
Driven by concerns over urban air quality, global warming caused by greenhouse gas (GHG) emissions, and energy security, a transition from the current global energy system is receiving serious attention. Increasingly alternative economies are being suggested, whereby the growing energy demand of the future is met with greater efficiency and with more renewable energy sources such as wind, solar, and biomass. This implies a gradual shift from the reliance on conventional hydrocarbon-driven technologies toward more innovative, carbon-neutral, sustainable ones. Using hydrogen in fuel-cell applications offers a number of advantages over existing fuels and other emerging competitors. It is a high-quality, carbon-free energy carrier that can achieve improved efficiencies with reduced or zero GHG emissions over the entire "well-to-wheel" (WTW) life cycle. These benefits are even further underpinned by the fact that hydrogen can be manufactured from a number of primary energy sources, such as natural gas, coal, biomass, and solar energy, contributing toward greater energy security and flexibility. Based on these attributes, a number of long-term strategic initiatives have been undertaken to promote the development of national and regional hydrogen economies [1]. This chapter focuses on hydrogen-related issues, starting from the introduction of hydrogen production technologies and their integration into a polygeneration energy system, and followed by a section of model-based strategic planning of hydrogen infrastructure. © 2008 Wiley-VCH Verlag GmbH & Co. KGaA.
Amaro BS, Pistikopoulos EN, 2011, Modeling of Polymerization Processes, Vol: 7, Pages: 67-104
Georgiadis MC, Pistikopoulos EN, 2011, Integrated Optimization of Oil and Gas Production, Vol: 5, Pages: 159-194
Liu P, Pistikopoulos EN, Li Z, 2011, Polygeneration Systems Engineering, Vol: 5, Pages: 1-38
- Cite
- Citations: 3
Kiparissides A, Koutinas M, Pistikopoulos EN, et al., 2011, Model Development and Analysis of Mammalian Cell Culture Systems, Vol: 7, Pages: 403-439
- Cite
- Citations: 2
Georgiadis MC, Banga JR, Pistikopoulos EN, 2011, Process Systems Engineering, Process Systems Engineering, Vol: 7
Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas. It spans a whole range of length scales seen in manufacturing industries, from molecular and nanoscale phenomena to enterprise-wide optimization and control. As such, this will appeal to a broad readership, since the topic applies not only to all technical processes but also due to the interdisciplinary expertise required to solve the challenge. The ultimate reference work for years to come. © 2011 Wiley-VCH Verlag GmbH & Co. KGaA.
Pistikopoulos EN, Georgiadis MC, Adjiman CS, et al., 2011, Process Systems Engineering, Process Systems Engineering, Vol: 6
Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas. It spans a whole range of length scales seen in manufacturing industries, from molecular and nanoscale phenomena to enterprise-wide optimization and control. As such, this will appeal to a broad readership, since the topic applies not only to all technical processes but also due to the interdisciplinary expertise required to solve the challenge. The ultimate reference for years to come. © 2010 Wiley-VCH Verlag GmbH & Co. KGaA.
Kouramas K, Pistikopoulos EN, 2011, Wind Turbines Modeling and Control, Vol: 5, Pages: 195-214
- Cite
- Citations: 1
Panos C, Kouramas K, Georgiadis MC, et al., 2011, Modeling and Control of Proton Exchange Membrane Fuel Cells, Vol: 7, Pages: 105-135
Strübing H, Konstantinidis S, Karamertzanis PG, et al., 2011, Computer-Aided Methodologies for the Design of Reaction Solvents, Vol: 6, Pages: 267-305
- Cite
- Citations: 5
Sakizlis V, Kouramas KI, Pistikopoulos EN, 2011, Linear Model Predictive Control via Multiparametric Programming, Vol: 2, Pages: 1-23
- Cite
- Citations: 1
Dua P, Pistikopoulos EN, 2011, Model-Based Control of Blood Glucose for Type 1 Diabetes, Vol: 2, Pages: 173-196
People with type 1 diabetes rely on exogenous insulin infusions to maintain their blood glucose concentration at the target value of 81 mg and within the desired range of 60-120 mg. These infusions usually result in significant deviations from the target value and the desired range, primarily due to the open-loop nature of the controller. In this chapter model-based parametric controllers are derived to obtain optimal insulin delivery rate as an explicit function of the state of the patients. This is expected to greatly simplify the insulin delivery mechanism and improve the quality of life of the patients via a closed-loop glucose control system. Issues pertaining to uncertainty in the model parameters due to inter- and intrapatient variability are also addressed by deriving a feasible control law. Physician's performance criteria, which place more emphasis on reducing negative deviations from the target value than on positive deviations from the target value, are also incorporated by proposing two strategies within the parametric control framework. These developments are expected to increase the safety and convenience levels of the patients. © 2007 Wiley-VCH Verlag GmbH & Co. KGaA.
Pistikopoulos EN, Georgiadis MC, Dua V, 2011, Multi-Parametric Model-Based Control, Multi-Parametric Model-Based Control, Vol: 2
This volume covers theoretical advances and developments, computational challenges and tools as well as applications in the area of multi-parametric model based control. Part I is concerned with the presentation of algorithms for parametric model based control focusing on:- novel frameworks for the derivation of explicit optimal control policies for continuous time-linear dynamic systems - new theoretical developments on hybrid model based control - methods for obtaining the explicit robust model-based tracking control - theoretical frameworks for parametric dynamic optimization and - recent developments for continuous-time systems. Part II presents a series of application in the following areas:- The incorporation of advanced model based controllers in a simultaneous process design and control framework for complex separation systems. - the development of advanced model based control techniques for regulating the blood glucose for patients with Type 1 diabetes. - the design of model predictive and parametric controllers for anesthesia.- the development of optimal control policies in a pilot plant exothermic reactor. The volume is intended for academics and researchers that carry out model based control research, industrial practitioners involved in the control of new and existing processes and products, policy makers, as well as for educational purposes both in academia and industry. © 2007 Wiley-VCH Verlag GmbH & Co. KGaA.
Bozinis N, Kouramas KI, Pistikopoulos EN, 2011, MPC on a Chip, Vol: 2, Pages: 231-253
- Cite
- Citations: 1
Narciso DAC, Dua V, Pistikopoulos EN, 2011, Multiparametric Mixed-Integer Quadratic and Nonlinear Programming, Vol: 1, Pages: 73-97
Pistikopoulos EN, Georgiadis MC, Dua V, 2011, Multi-Parametric Programming, Multi-Parametric Programming, Vol: 1
This first book to cover all aspects of multi-parametric programming and its applications in process systems engineering includes theoretical developments and algorithms in multi-parametric programming with applications from the manufacturing sector and energy and environment analysis. The volume thus reflects the importance of fundamental research in multi-parametric programming applications, developing mechanisms for the transfer of the new technology to industrial problems. Since the topic applies to a wide range of process systems, as well as due to the interdisciplinary expertise required to solve the challenge, this reference will find a broad readership. Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London. © 2007 Wiley-VCH Verlag GmbH & Co. KGaA.
Faísca NP, Dua V, Pistikopoulos EN, 2011, Multiparametric Linear and Quadratic Programming, Vol: 1, Pages: 1-23
- Cite
- Citations: 1
Dua P, Georgiadis MC, Pistikopoulos EN, 2011, Flexibility Analysis via Parametric Programming, Vol: 1, Pages: 173-228
Faísca NP, Pistikopoulos EN, 2011, Parametric Global Optimization, Vol: 1, Pages: 99-127
Georgiadis MC, Pistikopoulos EN, 2011, Multiobjective Energy and Environmental Analysis, Vol: 1, Pages: 255-305
Faísca NP, Kouramas KI, Rustem B, et al., 2011, Dynamic Programming, Vol: 1, Pages: 151-172
Liu P, Georgiadis MC, Pistikopoulos EN, 2011, Advances in Energy Systems Engineering, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, Vol: 50, Pages: 4915-4926, ISSN: 0888-5885
- Author Web Link
- Cite
- Citations: 72
Kiparissides A, Koutinas M, Moss T, et al., 2011, Modelling the Delta1/Notch1 Pathway: In Search of the Mediator(s) of Neural Stem Cell Differentiation, PLOS ONE, Vol: 6, ISSN: 1932-6203
- Author Web Link
- Cite
- Citations: 23
Dominguez LF, Pistikopoulos EN, 2011, Recent Advances in Explicit Multiparametric Nonlinear Model Predictive Control, International Symposium on New Frontiers in Chemical and Biochemical Engineering, Publisher: AMER CHEMICAL SOC, Pages: 609-619, ISSN: 0888-5885
- Author Web Link
- Cite
- Citations: 22
Rivotti P, Lambert RSC, Dominguez L, et al., 2011, Combined nonlinear model reduction and multiparametric nonlinear programming for nonlinear model predictive control, Computer Aided Chemical Engineering, Vol: 29, Pages: 617-621, ISSN: 1570-7946
This work presents a methodology which combines nonlinear model reduction techniques with recent advances in multiparametric nonlinear programming (mp-NLP) to derive explicit multiparametric controllers for nonlinear MPC (NMPC). Nonlinear model order reduction (NMOR) techniques based on empirical gramians are used for the model reduction step. The approach is illustrated on a 32 states distillation column model example. © 2011 Elsevier B.V.
Khajuria H, Pistikopoulos EN, 2011, Integrated Design and Control of Pressure Swing Adsorption Systems, Computer Aided Chemical Engineering, Vol: 29, Pages: 628-632, ISSN: 1570-7946
In the last few decades, pressure swing adsorption (PSA) has evidenced substantial growth in terms of size, versatility and complexity. In addition to handling multi-component separation and purification, it offers tremendous flexibility at the design stage, requiring careful selection of key decision variables including number of beds, number of pressure equalization steps per cycle, cycletime, bed length and bed diameter. Further challenges are posed by the fact that the PSA operation is periodic in nature and never attains a true steady state. Integrated design and control of PSA system, incorporating its highly nonlinear and dynamic nature remains a challenging task and is the focus of this study. Towards this goal, a detailed first principle based model is first developed for a double bed, 6 step PSA system. In the next step, the full scale integrated design and control dynamic optimization problem is formulated and solved incorporating all operational constraints. The key design objective for the PSA system separating 70 % H2 - 30 % CH4 mixture into high purity hydrogen, is to maximize the H2 recovery, while fast tracking the H2 purity to a set point value of 99.99 % for disturbances in feed temperature and feedrate. The results of detailed comparative studies shows that the optimal design obtained from integrated design and control case provides better hydrogen recovery and disturbance rejection as compared to sequential design and control case. © 2011 Elsevier B.V.
Kouramas K, Panos C, Pistikopoulos EN, 2011, Algorithm for robust explicit/multi-parametric MPC in embedded control systems, IFAC Proceedings Volumes (IFAC-PapersOnline), Vol: 44, Pages: 1344-1349, ISSN: 1474-6670
In this paper we present a framework for robust explicit/multi-parametric model predictive control (MPC). Based on four key steps, the proposed framework offers a systematic method for the off-line design, validation/testing and implementation of robust explicit MPC controllers for embedded systems. An important feature of the framework, is the use of a robust explicit/multi- parametric MPC technique that can guarantee that the system constraints are not violated due to the system model uncertainties. The framework is illustrated for the design of a robust explicit/multi-parametric MPC controller for the hydrogen desorption in metal- hydride bed storages. © 2011 IFAC.
Arce A, Panos C, Bordons C, et al., 2011, Design and experimental validation of an Explicit MPC controller for regulating temperature in PEM fuel cell systems, IFAC Proceedings Volumes (IFAC-PapersOnline), Vol: 44, Pages: 2476-2481, ISSN: 1474-6670
This paper proposes a temperature controller for PEM fuel cell systems with an air blower as thermal circuit. The objective of this controller is to maintain the stack temperature over a given set-point which is obtained from the results of a real-time optimization algorithm with the goal of minimizing the stack degradation and maximizing the global efficiency. An Explicit MPC is proposed to deal with this control problem which presents delays, the critical sampling time, constraints and disturbances. The simulation results show good performance of the controller which accurately tracks the temperature reference over the overall range of operating conditions. Furthermore, the controller is implemented in real-time on a PEM fuel cell test-bench which is installed in the Fuel Cell Laboratory at the University of Seville. © 2011 IFAC.
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.