1 - 16 |
Refined convergent cross-mapping for disturbance propagation analysis of chemical processes Luo L, Cheng FF, Qiu T, Zhao JS |
17 - 22 |
Improving the conventional reactor/separation/recycle DME process Luyben WL |
23 - 39 |
Sensitivity analysis and stochastic modelling of lignocellulosic feedstock pretreatment and hydrolysis Verma SK, Fenila F, Shastri Y |
40 - 56 |
Multi-objective optimization of a reactive batch distillation process using reduced order model Reddy PS, Rani KY, Patwardhan SC |
57 - 70 |
Comparison of stochastic fault detection and classification algorithms for nonlinear chemical processes Du YC, Budman H, Duever TA |
71 - 95 |
Design of computer experiments: A review Garud SS, Karimi IA, Kraft M |
96 - 105 |
Multi-mode operation of principal component analysis with k-nearest neighbor algorithm to monitor compressors for liquefied natural gas mixed refrigerant processes Ha D, Ahmed U, Pyun H, Lee CJ, Baek KH, Han C |
106 - 121 |
Optimal design of bitumen upgrading facility with CO2 reduction Shahandeh H, Li ZK |
122 - 132 |
A new integrated heat pump option for heat upgrading in Cu-Cl cycle for hydrogen production Almahdi M, Dincer I, Rosen MA |
133 - 146 |
An improved Lagrangian relaxation approach to scheduling steelmaking-continuous casting process Cui HJ, Luo XC |
147 - 159 |
A dynamic optimization framework for integration of design, control and scheduling of multi-product chemical processes under disturbance and uncertainty Koller RW, Ricardez-Sandoval LA |
160 - 170 |
One-layer gradient-based MPC plus RTO of a propylene/propane splitter Hinojosa AI, Ferramosca A, Gonzalez AH, Odloak D |
171 - 182 |
An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error Liu HT, Cai JF, Ong YS |
183 - 190 |
Subspace-based model identification of a hydrogen plant startup dynamics Garg A, Corbett B, Mhaskar P, Hu GS, Flores-Cerrillo J |
191 - 201 |
Quantifying situation awareness of control room operators using eye-gaze behavior Bhavsar P, Srinivasan B, Srinivasan R |
202 - 211 |
Characterization of influent wastewater with periodic variation and snow melting effect in cold climate area Wang XD, Kvaal K, Ratnaweera H |
212 - 223 |
An analytical method for diseases prediction using machine learning techniques Nilashi M, bin Ibrahim O, Ahmadi H, Shahmoradi L |
224 - 242 |
Process plant layout optimization with uncertainty and considering risk Latifi SE, Mohammadi E, Khakzad N |
243 - 268 |
Optimal retrofit of heat exchanger networks: A stepwise approach Ayotte-Sauve E, Ashrafi O, Bedard S, Rohani N |
269 - 285 |
Heat integration of multipurpose batch plants through multiple heat storage vessels Sebelebele N, Majozi T |
286 - 296 |
Steady-state optimization of biochemical systems by bi-level programming Xu GX, Li Y |
297 - 308 |
SPREAD - Exploring the decision space in energy systems synthesis Hennen M, Lampe M, Voll P, Bardow A |
309 - 321 |
A piecewise McCormick relaxation-based strategy for scheduling operations in a crude oil terminal de Assis LS, Camponogara E, Zimberg B, Ferreira E, Grossmann IE |
322 - 338 |
A novel factorial design search to determine realizable constant sets for a multi-mechanism model of mixing sensitive precipitation Maluta F, Eaglesham A, Jones D, Komrakova A, Kresta SM |
339 - 354 |
Real-time management of the waterflooding process using proxy reservoir modeling and data fusion theory Hourfar F, Moshiri B, Salahshoor K, Elkamel A |
355 - 372 |
Raising quality and safety of platelet transfusion services in a patient-based integrated supply chain under uncertainty Ensafian H, Yaghoubi S, Yazdi MM |
373 - 384 |
A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology Coccola ME, Mendez CA, Dondo RG |
385 - 395 |
A framework for developing a structure-based lumping kinetic model for the design and simulation of refinery reactors Nguyen TTH, Teratani S, Tanaka R, Endo A, Hirao M |
396 - 406 |
Internal rate of return: Good and bad features, and a new way of interpreting the historic measure Mellichamp DA |
407 - 420 |
Thermodynamic analysis of formulations to discriminate multiple roots of cubic equations of state in process models Glass M, Mitsos A |
421 - 436 |
Rapid impedance measurement using chirp signals for electrochemical system analysis Bullecks B, Suresh R, Rengaswamy R |
437 - 463 |
New computational tool to evaluate experimental VLE and VLLE data of multicomponent systems Fernandez L, Ortega J, Wisniak J |
464 - 479 |
Data-driven robust optimization based on kernel learning Shang C, Huang XL, You FQ |
480 - 500 |
Modifier Adaptation methodology based on transient and static measurements for RTO to cope with structural uncertainty Rodriguez-Blanco T, Sarabia D, Pitarch JL, de Prada C |
501 - 511 |
Development of local dynamic mode decomposition with control: Application to model predictive control of hydraulic fracturing Narasingam A, Kwon JSI |
512 - 528 |
Enhancing the value of detailed kinetic models through the development of interrogative software applications Billa T, Horton SR, Sahasrabudhe M, Saravanan C, Hou Z, Agarwal P, Lucio-Vega J, Klein MT |
529 - 531 |
Comment on solution of differential-algebraic equations through gradient flow embedding Campbell SL |
532 - 543 |
Graph representation and decomposition of ODE/hyperbolic PDE systems Moharir M, Kang LX, Daoutidis P, Almansoori A |
544 - 558 |
A novel algorithm for fast representation of a Pareto front with adaptive resolution: Application to multi-objective optimization of a chemical reactor Hashem I, Telen D, Nimmegeers P, Logist F, Van Impe J |
559 - 571 |
Design and control of entrainer-assisted reactive distillation for N-propyl propionate production Xia H, Dai X, Ye Q, Feng SY, Li R, Suo XM |
572 - 581 |
On anti-aliasing filtering and over-sampling scheme in system identification Fang MY, Zhu YC, Hjalmarsson H |
582 - 595 |
Dynamic optimization of beer fermentation: Sensitivity analysis of attainable performance vs. product flavour constraints Rodman AD, Gerogiorgis DI |
596 - 608 |
Rapid and accurate reachability analysis for nonlinear dynamic systems by exploiting model redundancy Shen K, Scott JK |
609 - 620 |
Probabilistic uncertainty based simultaneous process design and control with iterative expected improvement model Chan LLT, Chen JH |
621 - 644 |
Mixed-integer programming models for simultaneous batching and scheduling in multipurpose batch plants Lee H, Maravelias CT |
645 - 661 |
A multiparametric CFD analysis of multiphase annular flows for oil and gas drilling applications Epelle EI, Gerogiorgis DI |
662 - 662 |
Preface Kravanja Z, Bogataj M |
663 - 689 |
MINLP model and two-stage algorithm for the simultaneous synthesis of heat exchanger networks, utility systems and heat recovery cycles Martelli E, Elsido C, Mian A, Marechal F |
690 - 698 |
Hybrid genetic algorithm-decision tree approach for rate constant prediction using structures of reactants and solvent for Diels-Alder reaction Datta S, Dev VA, Eden MR |
699 - 718 |
Design and optimization of shale gas energy systems: Overview, research challenges, and future directions Gao JY, You FQ |
719 - 729 |
Integrated reactor staging and plant optimization of a Biomass-To-Liquid technology Pirola C, Galimberti M, Comazzi A, Bozzano G, Hillestad M, Manenti F |
730 - 743 |
Modelling and simulation of an industrial riser in fluid catalytic cracking process John YM, Patel R, Mujtaba IM |
744 - 757 |
Simulation and optimization of polymer molecular weight distribution with nonideal reactors Zhang C, Shao ZJ, Chen X, Xu CZ, Wang JJ, Feng LF |
758 - 776 |
Dynamic kriging based fault detection and diagnosis approach for nonlinear noisy dynamic processes Shokry A, Ardakani MH, Escudero G, Graells M, Espuna A |
777 - 784 |
POD-DEIM for efficient reduction of a dynamic 2D catalytic reactor model Bremer J, Goyal P, Feng L, Benner P, Sundmacher K |
785 - 795 |
The ALAMO approach to machine learning Wilson ZT, Sahinidis NV |
796 - 813 |
A simulation-optimization approach to integrate process design and planning decisions under technical and market uncertainties: A case from the chemical-pharmaceutical industry Marques CM, Moniz S, de Sousa JP, Barbosa-Povoa AP |
814 - 825 |
Explicit hybrid model predictive control strategies for intravenous anaesthesia Nascu L, Oberdieck R, Pistikopoulos EN |
826 - 835 |
From process control to supply chain management: An overview of integrated decision making strategies Dias LS, Ierapetritou MG |
836 - 848 |
Dynamic real-time optimization under uncertainty of a hydroformylation mini-plant Muller D, Illner M, Esche E, Pogrzeba T, Schmidt M, Schomacker R, Biegler LT, Wozny G, Repke JU |
849 - 871 |
Optimisation approaches for the synthesis of water treatment plants Koleva MN, Styan CA, Papageorgiou LG |
872 - 882 |
P-graph and Monte Carlo simulation approach to planning carbon management networks Tan RR, Aviso KB, Foo DCY |
883 - 891 |
Industrial scheduling solution based on flexible heuristics Harjunkoski I, Bauer R |
892 - 910 |
A generic methodology for processing route synthesis and design based on superstructure optimization Bertran MO, Frauzem R, Sanchez-Arcilla AS, Zhang L, Woodley JM, Gani R |
911 - 926 |
Management of << Systematic Innovation >> : A kind of quest for the Holy Grail ! Negny S, Le Lann JM, Flores RL, Belaud JP |
927 - 941 |
An ontological approach to chemical engineering curriculum development Bussemaker M, Trokanas N, Cecelja F |