3 - 10 |
Protein folding and peptide docking : A molecular modeling and global optimization approach Klepeis JL, Ierapetritou MG, Floudas CA |
11 - 18 |
Molecular design synthesis using stochastic optimisation as a tool for scoping and screening Marcoulaki EC, Kokossis AC |
17 - 17 |
European Symposium on Computer Aided Process Engineering - ESCAPE-8 - Proceedings of the European Symposium, Brugge, Belgium, May 24-27, 1998 - Supplement to Computers and Chemical Engineering - Introduction Froment GF, Kalitventzeff B |
19 - 26 |
A molecular dynamics study of intermolecular structure, thermodynamics and miscibility in hydrocarbon polymers Maranas JK, Mondello M, Grest GS, Kumar S, Debenedetti PG, Graessley WW |
27 - 33 |
Molecular dynamics methodology for the study of the solvent effects on a concentrated Diels-Alder reaction and the separation of the post-reaction mixture Sheehan ME, Sharratt PN |
37 - 44 |
Understanding the dynamics of a batch distillation column with a middle vessel Barolo M, Guarise GB, Rienzi SA, Trotta A |
45 - 52 |
Simulation and optimisation of a rapid pressure swing reactor Cheng YS, Alpay E, Kershenbaum LS |
53 - 60 |
Recovery of carotenoids from palm oil by molecular distillation Batistella CB, Maciel MRW |
61 - 68 |
Computation of heteroazeotropes Tolsma JE, Barton PI |
69 - 76 |
On the design of multicomponent batch distillation columns Sharif M, Shah N, Pantelides CC |
77 - 84 |
An automated procedure for multicomponent product separation synthesis McCarthy E, Fraga ES, Ponton JW |
87 - 94 |
Development of a process model for a batch reactive distillation - A case study Bollyn MP, Wright AR |
95 - 102 |
Application and validation of the pseudo-kinetic rate constant method to high pressure LDPE tubular reactors Baltsas A, Papadopoulos E, Kiparissides C |
103 - 110 |
A hybrid genetic algorithm for the estimation of parameters in detailed kinetic models Park TY, Froment GF |
111 - 118 |
Modeling of a reactive separation process using a nonequilibrium stage model Higler A, Taylor R, Krishna R |
119 - 126 |
New generation tools for multiphase reaction systems : A validated systematic methodology for novelty and design automation Mehta VL, Kokossis A |
127 - 134 |
The effect of the mean particle size on the dynamic behaviour of catalyzed olefin polymerization fluidized bed reactors Hatzantonis H, Kiparissides C |
137 - 140 |
Simulation of process chains and recycling strategies for carbon based materials using a conventional process simulator Radgen P, Pedernera EJ, Patel M, Reimert R |
141 - 148 |
Heat integration aspects in a crude preheat refinery section Papalexandri KP, Patsiatzis DI, Pistikopoulos EN, Ebbesen L |
149 - 156 |
Process integration : Selection of the optimal utility system. Marechal F, Kalitventzeff B |
157 - 164 |
A rigorous disjunctive optimization model for simultaneous flowsheet optimization and heat integration Grossmann IE, Yeomans H, Kravanja Z |
167 - 174 |
Robust optimal fermentation operating policies Uesbeck F, Samsatli NJ, Papageorgiou LG, Shah N |
175 - 182 |
Conceptual optimisation of utility networks using hardware and comprehensive hardware composites Strouvalis AM, Mavromatis SP, Kokossis AC |
183 - 190 |
Dynamic optimization of hybrid systems Galan S, Barton PI |
191 - 198 |
One-layer real time optimization of LPG production in the FCC unit : procedure, advantages and disadvantages de Gouvea MT, Odloak D |
199 - 204 |
Interior Point techniques for the Constrained Simulation Problem Kyriakopoulou DJ, Kalitventzeff B |
205 - 212 |
Parametric optimization of MILP programs and a framework for the parametric optimization of MINLPs Pertsinidis A, Grossmann IE, McRae GJ |
213 - 220 |
Parameter estimation in nonlinear algebraic models via global optimization Esposito WR, Floudas CA |
221 - 228 |
Modelling and optimisation of general hybrid systems in the continuous time domain Avraam MP, Shah N, Pantelides CC |
229 - 236 |
Total process optimization in chemical engineering with evolutionary algorithms Gross B, Roosen P |
239 - 246 |
Application of CAPE techniques to the revamping of existing electrical power plants : an example of interdisciplinary collaboration. Heyen G, Vrielynck B, Kalitventzeff B |
247 - 254 |
Hierarchical on-line data reconciliation and optimization for an industrial utility plant Lee MH, Lee SJ, Han CH, Chang KS, Kim SH, You SH |
255 - 262 |
Simple and robust design of chemical plants Koolen JLA |
263 - 270 |
An approach to management of Multilevel Distribution Systems for consumer goods and chemicals industry under information uncertainty Tahmassebi T |
271 - 277 |
Integrated on line production and financial scheduling with intelligent autonomous agent based information system Badell M, Nougues JM, Puigjaner L |
279 - 282 |
Analysis and design of paint manufacturing processes Rotstein G, Shah N, Sorensen E, Macchietto S, Weiss RA |
285 - 292 |
CFD modelling of heat transfer during gas phase olefin polymerisation McKenna TF, Cokljat D, Wild P |
293 - 298 |
CFD modelling of turbulent macromixing in stirred tanks. Effect of the probe size and number on mixing indices. Jaworski Z, Dudczak J |
299 - 306 |
Eulerian simulations of bubbling behaviour in gas-solid fluidised beds van Wachem BGM, Schouten JC, Krishna R, van den Bleek CM |
307 - 314 |
A model based on average velocity for gas production pipes simulation Vazquez-Roman R |
315 - 322 |
Use of CFD in prediction of particle size distribution in suspension polymer reactors Maggioris D, Goulas A, Alexopoulos AH, Chatzi EG, Kiparissides C |
323 - 328 |
Numerical model of a mixed flow coupled with mass and heat transfer in continuous-flow electrophoresis Afonso JL, Clifton MJ |
331 - 338 |
Modelling and simulation of complex plate heat exchanger arrangements under milk fouling Georgiadis MC, Rotstein GE, Macchietto S |
339 - 346 |
Optimization of wastewater treatment facilities using process simulation Petrides D, Cruz R, Calandranis J |
347 - 353 |
Identification of parametric models based on RTD theory - Application to safety studies in ventilated nuclear enclosures Laquerbe C, Laborde JC, Floquet P, Pibouleau L, Domenech S |
355 - 362 |
Towards on-scale crystalliser design using compartmental models Bermingham SK, Kramer HJM, van Rosmalen GM |
363 - 370 |
A generalized reactive separation unit model. Modelling and simulation aspects Gani R, Jepsen TS, Perez-Cisneros ES |
371 - 378 |
Dynamic catalytic distillation : Advanced simulation and experimental validation Kreul LU, Gorak A, Dittrich C, Barton PI |
379 - 386 |
Maxwell-Stefan approach coupled with drop population model for the dynamic simulation of liquid-liquid extraction pulsed column Toutain J, Le Lann JM, Gourdon C, Joulia X |
389 - 393 |
Operating an ideal heat integrated distillation column with different control algorithms Nakaiwa M, Huang K, Owa M, Akiya T, Nakane T, Takamatsu T |
395 - 402 |
General approach and tool for the scheduling of complex production systems Graells M, Canton J, Peschaud B, Puigjaner L |
403 - 410 |
Improving the efficiency of discrete time scheduling formulation Yee KL, Shah N |
411 - 418 |
Modelling issues for control structure selection in a chemical process Cao Y, Rossiter D, Edwards DW, Knechtel J, Owens D |
419 - 426 |
Short-term scheduling : New mathematical models vs algorithmic improvements Ierapetritou MG, Floudas CA |
427 - 434 |
Process control for energy integrated distillation schemes Mizsey P, Hau NT, Benko N, Kalmar I, Fonyo Z |
435 - 442 |
Optimal implementation of on-line optimization Chen XY, Pike RW, Hertwig TA, Hopper JR |
443 - 449 |
A combined hardware/software sensing approach for on-line control of emulsion polymerisation processes Fevotte G, McKenna TF, Othman S, Santos AM |
451 - 457 |
Robust nonlinear control of polymethylmethacrylate production in a batch reactor Sampath V, Palanki S, Cockburn JC |
459 - 466 |
l(1)-optimal regulation of a pH control plant Tadeo F, Holohan A, Vega P |
467 - 474 |
Multimodel robust control applied to a pH neutralization process Nystrom RH, Sandstrom KV, Gustafsson TK, Toivonen HT |
475 - 482 |
Results diagnosis for real-time process operations optimization Miletic IP, Marlin TE |
483 - 490 |
Life cycle hazard analysis for computer controlled processes Yang SH, Chung PWH |
491 - 496 |
Identification of trends in process measurements using the wavelet transform Flehmig F, Von Watzdorf R, Marquardt W |
499 - 504 |
Conceptual plant layout Schmidt-Traub H, Koster M, Holtkotter T, Nipper N |
505 - 511 |
A mixed method for retrofitting heat-exchanger networks Athier G, Floquet P, Pibouleau L, Domenech S |
513 - 520 |
Quality criteria for process design in the design process - industrial case studies and an expert panel Herder PM, Weijnen MPC |
521 - 528 |
Reliability and maintenance considerations in process design under uncertainty Vassiliadis CG, Pistikopoulos EN |
531 - 536 |
Safety improvement by a multimedia operator education system Goh S, Chang B, Jeong I, Kwon HT, Moon I |
537 - 544 |
Thermodynamic analysis and mathematical optimisation of power plants Manninen J, Zhu XX |
545 - 552 |
Exergy analysis : An efficient tool for process optimization and understanding. Demonstrated on the vinyl-chloride plant of Akzo Nobel. Graveland AJGG, Gisolf E |
555 - 562 |
Qualitative interpretation and compression of process data using clustering method Mo KJ, Eo S, Shin D, Yoon ES |
563 - 570 |
Efficient modelling of partial resource equivalence in resource-task networks Dimitriadis AD, Shah N, Pantelides CC |
571 - 578 |
The use of agents both to represent and to implement process engineering models Maguire PZ, Struthers A, Scott DM, Paterson WR |
579 - 585 |
Sequencing of batch operations for a highly coupled production process : Genetic algorithms versus mathematical programming Lohl T, Schulz C, Engell S |
587 - 593 |
Intelligent modelling in the chemical process industry with neural networks : a case study Meert K, Rijckaert M |
595 - 600 |
Neural network based approach for optimisation applied to an industrial nylon-6,6 polymerisation process Nascimento CAO, Giudici R |
601 - 608 |
iTOPS : An intelligent tool for operating procedures synthesis Viswanathan S, Mockus L, Venkatasubramanian V, Basu PK, Mack R, Cherukat P, Iskos V |
611 - 614 |
Molecular dynamics calculations and Monte Carlo simulation of diffusivities in aqueous systems - Application to nitrate reduction on bimetal catalyst immobilized in poly(vinyl alcohol) hydrogel Fergg F, Keil FJ |
615 - 618 |
Computer-aided molecular design with simulated annealing and molecular graphs Ourique JE, Telles AS |
621 - 624 |
Optimal operation of dynamic processes under process-model mismatches : Application to batch distillation Mujtaba IM, Hussain MA |
625 - 628 |
Control Vector Parametrisation versus Iterative Dynamic Programming in dynamic optimisation of a distillation column Fikar M, Latifi MA, Fournier F, Creff Y |
629 - 632 |
Generalized Predictive Control to a packed distillation column for regulatory problems Karacan S, Hapoglu H, Alpbaz M |
633 - 636 |
Optimal operation of rapid pressure swing adsorption with slop recycling Betlem BHL, Gotink RWM, Bosch H |
637 - 640 |
Short-cut evaluation of pressure swing adsorption systems Chung Y, Na BK, Song HK |
641 - 644 |
Gas-solid flow in cyclones : The Eulerian-Eulerian approach Meier HF, Mori M |
645 - 648 |
Using rate-based approach under consideration of different contacting regimes for multicomponent batch distillation simulation Mehlhorn A, Nougues JM, Puigjaner L |
649 - 652 |
Model identification of batch precipitations : application to salicylic acid Nallet V, Mangin D, Klein JP |
653 - 656 |
Feasibility and sequencing studies for homoazeotropic distillation in a batch rectifier with continuous entrainer feeding Lelkes Z, Lang P, Otterbein M |
659 - 662 |
New method for computer aided analysis of steady-state multiplicity of catalytic processes Kafarov VV, Pisarenko VN, Dallos CG, Keil F, Mayorga B, Nunez M |
663 - 666 |
Computer aided method for construction of kinetic models of chemical reactions, based on application of Chebyshev-Hermite polynomials. Kafarov VV, Pisarenko VN, Dallos CG, Keil F, Duarte LA |
667 - 670 |
Experimental studies and simulation of the dynamic behaviour of bubble column reactors Schulzke T, Schluter S, Weinspach PM |
671 - 674 |
Synthesis of isothermal fluid-fluid two-phase CSTR networks Esparta ARJ, Obertopp T, Gilles ED |
675 - 678 |
A dynamic kinetic model for methanol synthesis on deactivated catalyst Rahimpour MR, Bahri P, Kaljahi JF, Jahanmiri A, Romagnoli A |
679 - 682 |
Three-phase reactor modeling with significant backmixing in the liquid phase using a modified cell model (MCM) Dassori CG |
683 - 686 |
Simulation of silicon deposition from SiHCl3 in a CVD barrel reactor at atmospheric pressure De Paola E, Duverneuil P |
687 - 690 |
Nonlinear estimation strategies for parameter estimation in chemical reactors Farza M, Hammouri H, Jallut C, Chouri V, Lieto J |
691 - 694 |
Computer-aided optimisation of catalytic dehydrogenation in packed-bed membrane reactor Casanave D, Fiaty K, Dalmon JA |
695 - 698 |
Improving safety of a pilot plant reactor using a model based fault detection and identification scheme Afonso PAFNA, Tavares JM, Castro JAAM |
699 - 702 |
Modelling and sensitivity analysis of pyrolysis of biomass particles in a fluidised bed Semino D, Tognotti L |
703 - 706 |
Effect of process design/operation on the open-loop operability of a polymerization reactor Flores-Tlacuahuac A, Silva-Beard A |
707 - 710 |
Long term dynamic optimization of a catalytic reactor system Lovik I, Hillestad M, Hertzberg T |
711 - 714 |
Computer aided design for large scale multitubular reactors Maciel R, McGreavy C |
715 - 718 |
Dynamic simulation and control of an industrial surfactant reactor Khuu SM, Romagnoli JA, Bahri PA, Weiss G |
719 - 722 |
Dynamic simulation of start-up procedures of reactive distillation columns Scenna NJ, Ruiz CA, Benz SJ |
723 - 726 |
Modeling of real biological reactors for the treatment of complex substrates. Dynamic simulation Mussati M, Aguirre P, Scenna NJ |
729 - 732 |
The integration of accident databases with computer tools in the chemical industry Chung PWH, Jefferson M |
733 - 736 |
Design and optimisation of temperature cycled adsorptive reactors Yongsunthon I, Alpay E |
737 - 740 |
Optimization of a secondary reflux and vaporization (SRV) distillation process using surface response analysis Batista E, Rodrigues MI, Meirelles AJ |
741 - 744 |
Wastewater minimisation of industrial systems using an integrated approach Alva-Argaez A, Kokossis AC, Smith R |
745 - 748 |
A new approach to integrated process systems engineering - the VIBE Agent environment Struthers A, Curwen R |
751 - 754 |
Using CFD to understand the air circulation in a ventilated room Espi E, Berne P, Duverneuil P |
755 - 758 |
Numerical simulation of chemical vapour deposition process in electric field Rudniak L |
759 - 761 |
3D finite element simulation of fluid flow through a SMX static mixer Fradette L, Li HZ, Choplin L, Tanguy P |
763 - 766 |
Fluid dynamic modelling and simulation of circulating fluidized bed reactors : analyses of particle phase stress models Alves JJN, Mori M |
767 - 770 |
Using computational fluid dynamics to calculate transversal dispersion in a structured packed bed van Gulijk C |
773 - 776 |
Optimization of isothermal-isobaric chemical vapor infiltration Sampath V, Palanki S |
777 - 780 |
Design of multipurpose batch chemical plants using a genetic algorithm Bernal-Haro L, Azzaro-Pantel C, Domenech S, Pibouleau L |
781 - 784 |
Concurrent engineering system for supporting STEP based activity model Hawtin JW, Chung PWH |
785 - 788 |
Two-level model based design of solids processing systems Lakatos BG, Auer R |
789 - 792 |
Design of multiproduct batch plants under demand uncertainty with staged capacity expansions Petkov SB, Maranas CD |
793 - 796 |
A novel approach for retrofit and operations management of existing total sites Makwana Y, Smith R, Zhu XX |
797 - 800 |
Intermediate storage in batch processing systems under stochastic equipment failures Mihalyko EO, Lakatos BG |
801 - 804 |
Alternatives in the optimal allocation of intermediate storage tank in multiproduct batch plants Vecchietti AR, Montagna J |
805 - 808 |
A hybrid strategy for dynamic process flowsheeting Riksheim HC, Hertzberg T |
809 - 812 |
Retrofit by inspection using thermodynamic process visualisation Lakshmanan R, Banares-Alcantara R |
813 - 816 |
A designer-controlled framework for the synthesis of heat exchanger networks involving non-isothermal mixers and multiple units over split streams Galli MR, Cerda J |
817 - 820 |
Flexibility analysis and design of dynamic processes with stochastic parameters Bansal V, Perkins JD, Pistikopoulos EN |
823 - 826 |
Strategies for modeling and control of nonlinear chemical processes using neural networks Wang H, Oh Y, Yoon ES |
827 - 830 |
A B-spline based method for data compression, process monitoring and diagnosis Vedam H, Venkatasubramanian V, Bhalodia M |
831 - 834 |
Multi-objective constraint control for FCC reactor-regenerator system Yang SH, Chung PWH, Wang XZ, McGreavy C |
835 - 838 |
State Space Constrained Multivariable Predictive Control of a milk of lime blending tank Mata N, Alvarez T, de Prada C |
839 - 842 |
Application of Nonlinear Generalised Minimum Variance control to a tubular flow reactor Alpbaz M, Hapoglu H, Guresinli C |
843 - 846 |
Eliminating ambiguities in qualitative causal feedback Palmer C, Chung PWH |
847 - 850 |
Combinatorial technique for short term scheduling of multipurpose batch plants based on schedule-graph representation Sanmarti E, Friedler F, Puigjaner L |
851 - 854 |
Non-linear principal components analysis for process fault detection Jia F, Martin EB, Morris AJ |
855 - 858 |
Modeling of Simulated Moving Bed chromatographic processes with regard to process control design Dunnebier G, Engell S, Klatt KU, Schmidt-Traub H, Strube J, Weirich I |
859 - 862 |
An adaptive optimal control scheme based on hybrid neural modelling Costa AC, Alves TLM, Henriques AWS, Filho RM, Lima EL |
863 - 866 |
Rigorous industrial dynamic simulation of a crude distillation unit considered valve tray rating parameters Chang B, Lee S, Kwon H, Moon I |
867 - 870 |
Interactive supervision of batch distillation with advanced control capabilities Dechechi EC, Luz LFL, Assis AJ, Maciel MRW, Filho RM |
871 - 874 |
Sensitivity analysis for project planning and scheduling under uncertain completions Samikoglu O, Honkomp SJ, Pekny JF, Reklaitis GV |
875 - 878 |
Using model-checking for Timed Automata to parameterize logic control programs Kowalewski S, Engell S, Huuck R, Lakhnech Y, Lukoschus B, Urbina L |
879 - 882 |
Feasible operating region of natural gas plants under feed perturbations Eliceche AM, Sanchez M, Fernandez L |
883 - 886 |
Model predictive control of a nonlinear unstable process Ozkan L, Camurdan MC |
887 - 890 |
Simulation support for recipe driven process operation Music G, Matko D |
893 - 896 |
A hybrid neural network first principles approach to batch unit optimisation Martinez EC, Wilson JA |
897 - 900 |
Simulation of a fixed bed system using a geometrically based adaptive grid method Fraga ES |
901 - 904 |
Modelling and simulation of membrane fouling in batch ultrafiltration on pilot plant Rouvet F, Fiaty K, Laurent P, Liou JK |
905 - 908 |
A two-zone model for liquid-to-wall mass transfer in a packed-bed reactor with single phase liquid flow Latifi MA, Lesage F, Midoux N |
909 - 912 |
Simulation of an absorption column performance using feed-forward neural networks in nitric acid production Roj E, Wilk M |
913 - 916 |
Digital simulation of an electrodeionization process Verbeek HM, Furst L, Neumeister H |
917 - 920 |
Economic achievement of environmental regulation in chemical process industries Singh H, Smith R, Zhu XX |
921 - 924 |
Simulation of velocity fields in a falling film with a free interface flowing over a wavy surface Negny S, Meyer M, Prevost M |
925 - 928 |
Acoustics based on-line quality estimation Elsey J, Barton GW, Jungk S, Francis G, Sellahewa J, Chessari C |
929 - 932 |
Numerical problems encountered in the simulation of reactive absorption : DAE index reduction and consistent initialisation Rascol E, Meyer M, Le Lann JM, Prevost M |
933 - 936 |
diag - a structural diagnose tool for interconnection assignment in model building and re-use Soetjahjo J, Go YG, Bosgra OH |
939 - 942 |
Optimal operation of a separation plant using Artificial Neural Networks Altissimi R, Brambilla A, Deidda A, Semino D |
943 - 946 |
Process simulation using continuation method in complex domain Jalali F |
947 - 950 |
Off-line scheduling a simple chemical batch process production plan using the ILOG scheduler Das BP, Shah N, Chung PWH |
951 - 954 |
A parametric optimization approach for multiobjective engineering problems involving discrete decisions Dimkou TI, Papalexandri KP |
955 - 958 |
An outer-approximation algorithm for the solution of multiparametric MINLP problems Dua V, Pistikopoulos EN |
961 - 964 |
Multi-perspective models for process hazards analysis of large scale chemical processes Srinivasan R, Venkatasubramanian V |
965 - 968 |
Identification of distributed parameter systems : A neural net based approach Gonzalez-Garcia R, Rico-Martinez R, Kevrekidis IG |
969 - 972 |
Invariant inheritance in structured operating procedures described by Petri nets Kranicz B, Gerzson M, Hangos KM |
973 - 976 |
On-line operational support system for faults diagnosis in process plants Chen BH, Wang XZ, McGreavy C |
977 - 980 |
Waste analysis and minimization in batch and semibatch reactor operation through dynamic simulation and neural networks Calderon Z, Espuna A, Puigjaner L |
981 - 984 |
Modeling and optimization of pulp and paper processes using neural networks Aguiar HCIL, Filho RM |
985 - 988 |
Methods for evaluating uncertainties in dynamic simulation - A comparison of performance Torvi H, Hertzberg T |
989 - 992 |
Adaptive hybrid neural models for process control Cubillos FA, Lima EL |
993 - 996 |
Optimisation of process plant layout using genetic algorithms Castell CML, Lakshmanan R, Skilling JM, Banares-Alcantara R |
997 - 1000 |
Hybrid, fuzzy and neural adaptation in case-based reasoning system for process equipment selection Koiranen T, Virkki-Hatakka T, Kraslawski A, Nystrom L |
1001 - 1004 |
Neurofuzzy modeling of chemical process systems with ellipsoidal radial basis function neural networks and genetic algorithms Schmitz GPJ, Aldrich C |
1005 - 1008 |
Rapid process modeling - model building methodology combining unsupervised fuzzy-clustering and supervised neural networks Ronen M, Shabtai Y, Guterman H |
1009 - 1012 |
Synthesis of qualitative models by using intelligent feedback Hurme M, Dohnal M |
1013 - 1016 |
Fuzzy modeling and flowsheeting of imprecise units Zhang PR, Qian Y |
1019 - 1022 |
Enlarging the trim-loss problem to cover the raw paper mill Harjunkoski I, Westerlund T |
1023 - 1025 |
On-line data reconciliation in chemical plants - Industrial application of known methods Dempf D, List T |
1027 - 1030 |
Optimization of industrial scale scheduling problems in New Product Development Schmidt CW, Grossmann IE, Blau GE |
1031 - 1034 |
Cost benefit analysis of refinery process data : Case study Alheritiere C, Thornhill NF, Fraser S, Knight MJ |
1035 - 1038 |
Industrial application of data reconciliation Placido J, Loureiro LV |
1039 - 1042 |
A planning model for refinery diesel production Moro LFL, Zanin AC, Pinto JM |
1045 - 1060 |
First-principles-based molecular simulation of heterogeneous catalytic surface chemistry Neurock M, Hansen EW |
1061 - 1069 |
Application of CAPE in industry - Status and outlook Mayer HH, Schoenmakers H |
1071 - 1071 |
Process analysis, design, and control - a case study Perne R, Endesfelder A |
1073 - 1084 |
SitEModelling (TM) : A powerful tool for total site energy optimization Wolff A, Groebel MJ, Janowsky R |
1085 - 1088 |
Hardware and software perspectives in engineering computing Brochard L |