Publications

Year 2017

Year 2016

  • Cimetta, E., T. Morosinotto, F. Bezzo (2016). Model-based design of experiments and photobioreactor-on-a-chip technology for rapid and reliable modelling of microalgae growth. Presented at AlgaEurope 2016, 13-15 December 2016, Madrid (Spain).
  • Quaglio, M., F. Bezzo, A. Gavriilidis, E. Cao, F. Galvanin (2016). A MINLP approach to model-based data mining for the quick development of nonlinear dynamic models. In: Proceedings of AIChE 2014 Annual Meeting, 13-18 November 2016, San Francisco, USA, 677-679.
  • Pradella, D., F. Bezzo, F. Galvanin (2016). Optimal design of feasible clinical tests for the identification of physiological models of type 1 diabetes mellitus. In: Proceedings of AIChE 2014 Annual Meeting, 13-18 November 2016, San Francisco, USA.
  • Perin, G., E. Cimetta, F. Monetti, T. Morosinotto, F. Bezzo (2016). Novel micro-photobioreactor design and monitoring method for assessing microalgae response to light intensity. Algal Res., 19, 69-76.
  • Bonvin, D., C. Georgakis, C. C. Pantelides, M. Barolo, M. A. Grover, D. Rodrigues, R. Schneider, D. Dochain (2016). Linking models and experiments. Ind. Eng. Chem. Res., 55, 6891-6903.
  • Bernardi, A., A. Meneghesso, T. Morosinotto, F. Bezzo (2016). Modelling photoacclimation in microalgae integrating chlorophyll fluorescence and photosynthesis rate measurements. Presented at the 6th International Conference on Algal Biomass, Biofuels and Bioproducts, 26 – 29 June, 2016, San Diego (U.S.A.).
  • De-Luca, R., F. Galvanin, F. Bezzo (2016). A methodology for direct exploitation of available information in the online model-based redesign of experiments. Comput. Chem. Eng., 91, 195-205.
  • De-Luca, R., Q. Béchet, F. Bezzo, O. Bernard (2016). Optimal operation of algal ponds accounting for future meteorology. In: IFAC-PapersOnLine Series. Proc. 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS-CAB 2016), 6-8 June 2016, Trondheim, Norway (B. Foss, H. Budman, I. Smets, S. Skogestad and L. Msland, Eds.),  49, 1062-1067.
  • d’Amore, F., F. Bezzo (2016). Optimising biomass-based energy supply chains for sustainable mobility. In: Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering (Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 145-150.
  • Bernardi, A., A. Meneghesso, T. Morosinotto, F. Bezzo (2016). A model-based investigation of genetically modified microalgae strains. In: Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering (Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 607-612.
  • Meneghetti, N., P. Facco, F. Bezzo, C. Himawan, S. Zomer, M. Barolo (2016). Automated data review in secondary pharmaceutical manufacturing by pattern recognition techniques. In: Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering (Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 799-804.
  • Dal-Pastro, F., P. Facco, F. Bezzo, E. Zamprogna, M. Barolo (2016). Using PLS and NIR spectra to model the first-breakage step of a grain milling process. In: Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering (Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 1171-1176.
  • Ferrari, M., L. Bosa, R. De-Luca, M. Barolo, C.F. Zambon, V. Pengo, R. Padrini, F. Bezzo (2016). A pharmacokinetic-pharmacodynamic model for individualisation of an oral anticoagulation therapy. In: Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering (Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 2313-2318.
  • Dal-Pastro, F., P. Facco, F. Bezzo, E. Zamprogna, M. Barolo (2016). Data-driven modeling of milling and sieving operations in a wheat milling process. Food Bioprod. Process., 99, 99-108.
  • Meneghetti, N., P. Facco, F. Bezzo, C. Himawan, S. Zomer, M. Barolo (2016). Knowledge management in secondary pharmaceutical manufacturing by mining of data historians – A proof-of-concept study. Int. J Pharm., 505, 394–408.
  • Bernardi, A., A. Nikolaou, A. Meneghesso, T. Morosinotto, B. Chachuat, F. Bezzo (2016). High-fidelity modelling methodology of light-limited photosynthetic production in microalgae. PLOS ONE, 11, e0152387.
  • Fasolato, L., L. Carraro, P. Facco, B. Cardazzo, S. Balzan, A. Taticchi, N. A. Andreani, F. Montemurro, M. E. Martino, G. Di Lecce, T. Gallina Toschi, E. Novelli (2016). Agricultural by-products with bioactive effects: a multivariate approach to evaluate microbial and physicochemical changes in a fresh pork sausage enriched with phenolic compounds from olive vegetation water. Int. J. Food Microbiol., 228, 34-43.
  • d’Amore, F., F. Bezzo (2016). Strategic optimisation of biomass-based energy supply chains for sustainable mobility. Comput. Chem. Eng., 87, 68–81.
  • Galvanin, F., R. Marchesini, M.  Barolo, F. Bezzo, M. Fidaleo (2016). Optimal design of experiments for parameter identification in electrodialysis models. Chem. Eng. Res. Des., 105, 107–119.
  • Paolucci, N., F. Bezzo, A. Tugnoli (2016). A two-tier approach to the optimization of a biomass supply chain for pyrolysis processes. Biomass. Bioenerg., 84, 87-97.
  • Ottavian, M., E. Tomba, M. Barolo (2016). Advanced process decision making using multivariate latent variable methods. In: Process Simulation and Data Modeling in Solid Oral Drug Development and Manufacturing (M. G. Ierapetritou and R. Ramachandrean, Eds.), Springer, New York (NJ), 159-189.

Year 2015

  • Bonvicini, G., A. Venturin, C. Miotti, D. Curiel, F. Bezzo, L. Facco (2015). Recommendations towards profitable production chains for algae-based biofuels. In: Book of abstracts: 2nd EABA and EC Algae Contractors’ Conference and the 9th International Algae Congress. Lisbon (Portugal), 1-3 December 2015, p. 69-70.
  • Largoni, M., P. Facco, D. Bernini, F. Bezzo, M. Barolo (2015). Quality-by-Design approach to monitor the operation of a batch bioreactor in an industrial avian vaccine manufacturing process. J. Biotechnol., 211, 87-96.
  • Depalo, A., M. Barolo, F. Bezzo, R. Muradore (2015). Phase identification for product quality prediction in batch processes: application to industrial resin production. In: Proceedings of European Control Conference 2015, Linz, Austria, July 15-17, 2015, 3501-3506.
  • Facco, P., M. Largoni, D. Bernini, F. Bezzo, M. Barolo (2015). Monitoring an industrial batch process for the manufacturing of avian vaccines through Quality-by-Design methodologies. In: Proceedings 14th Scandinavian Symposium on Chemometrics, June 14-17, Chia (CA), Italy, 38.
  • Meneghetti, N., P. Facco, S. Bermingham, D. Slade, F. Bezzo, M. Barolo (2015). First-principles model diagnosis in batch systems by multivariate statistical modeling. In: Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 437-442.
  • Dal-Pastro, F., P. Facco, F. Bezzo, H. Thomas, E. Zamprogna, M. Barolo (2015). Data-based multivariate modeling of a grain comminution process. In: Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 2219-2224.
  • Ortiz-Gutiérrez, R.A., S. Giarola, N. Shah, F. Bezzo (2015). An approach to optimize multi-enterprise biofuel supply chains including Nash equilibrium models. In: Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 2255-2260.
  • Bernardi, A., A. Nikolaou, A. Meneghesso, B. Chachuat, T. Morosinotto, F. Bezzo (2015). A framework for the dynamic modelling of PI curves in microalgae. In: Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 2483-2488.
  • De-Luca, R., F. Galvanin, F. Bezzo (2015) A framework for a direct exploitation of available information in the online model-based redesign of experiments. In: Book of abstract: 25th European Symposium on Computer Aided Process Engineering,Copenhagen (Denmark), 31 May – 4 June 2015 (M.O. Bertran, T. Bisgaard, R. Frauzem, Eds.), Abstract n. 55, p. 30.
  • Bernardi, A., A. Nikolaou, A. Meneghesso, B. Chachuat, T. Morosinotto, F. Bezzo (2015). Using fluorescence measurements to model key phenomena in microalgae photosynthetic mechanisms, Chem. Eng. Trans., 43, 217-222.
  • Facco, P., F. Dal Pastro, N. Meneghetti, F. Bezzo, M. Barolo (2015). Bracketing the design space within the knowledge space in pharmaceutical product development. Ind. Eng. Chem. Res., 54, 5128–5138.
  • Giarola, S., F. Bezzo (2015). Bioethanol supply chain design and optimization: some achievements and future challenges for the development of sustainable biorefineries. In: Computer-Aided Chemical Engineering 36. Sustainability of products, processes and supply chains. Theory and applications (F. You, Ed.), Elsevier, Amsterdam (The Netherlands), 555-581.
  • Ottavian, M., E. Franceschin, E. Signorin, S. Segato, P. Berzaghi, B. Contiero, G. Cozzi (2015). Application of near infrared reflectance spectroscopy (NIRS) on faecal samples from lactating dairy cows to assess two levels of concentrate supplementation during summer grazing in alpine pastures. Anim. Feed Sci. Tech., 202, 100-105.
  • Nikolaou, A., A. Bernardi, A. Meneghesso, F. Bezzo, T. Morosinotto, B. Chachuat (2015). A model of chlorophyll fluorescence in microalgae integrating photoproduction, photoinhibition and photoregulation. J. Biotechnol., 194, 91-99.
  • Mazzetto, F., G. Simoes-Lucas, R.A. Ortiz-Gutiérrez, D. Manca, F. Bezzo (2015). Impact on the optimal design of bioethanol supply chains by a new European Commission proposal. Chem. Eng. Res. Des., 93, 457-463.

Year 2014

  • Nikolaou, A., A. Bernardi,  F. Bezzo, T. Morosinotto, B. Chachuat (2014). Dynamic modeling of photoproduction, photoregulation and photoinhibition in microalgae using chlorophyll fluorescence. Presented at the AIChE 2014 Annual Meeting, November 16-21, 2014, Atlanta, USA.
  • Meneghetti, N., P. Facco, F. Bezzo, M. Barolo (2014). A methodology to diagnose process/model mismatch in first-principles models. Ind. Eng. Chem. Res., 53, 14002-14013.
  • Nikolaou, A., A. Bernardi,  F. Bezzo, T. Morosinotto, B. Chachuat (2014). A Dynamic model of photoproduction, photoregulation and photoinhibition in microalgae using chlorophyll fluorescence. In: Preprints of the IFAC 19th World Congress, Cape Town, South Africa. August 24-29, 4370-4375.
  • Dalle Zotte, A., M. Ottavian, A. Concollato, L. Serva, R. Martelli, G. Parisi (2014). Authentication of raw and cooked freeze-dried rainbow trout (Oncorhynchus mykiss) by means of near infrared spectroscopy and data fusion. Food Res. Int., 60, 180-188.
  • Rahman, M.S., M.E. Martino, B. Cardazzo, P. Facco, P. Bordin, R. Mioni, E. Novelli, L. Fasolato (2014). Vibrio trends in the ecology of the Venice lagoon. Appl. Environ. Microb., 80, 2372-2380
  • Ortiz-Gutiérrez, R.A., F. Bezzo (2014). A game-theory approach for the analysis and optimization of biofuel supply chains. In: Proc. 22nd European Biomass Conference and Exhibition (EU BC&E), 23-26 June 2014, Hamburg, Germany.
  • Galvanin, F., A. Monte, A. Casonato, R. Padrini, M. Barolo, F. Bezzo (2014). Towards model-based diagnosis of von Willebrand disease. In: Computer-Aided Chemical Engineering 33, 24th European Symposium on Computer Aided Process Engineering (J.J. Klemeš, P.S. Varbanov, P.Y. Liew, Eds.), Elsevier, Amsterdam (The Netherlands) 583-588.
  • Lucas, G., F. Bezzo, A. Carvalho (2014). Optimal design of a bioethanol supply chain considering different environmental impact assessment methods. In: Computer-Aided Chemical Engineering 33, 24th European Symposium on Computer Aided Process Engineering (J.J. Klemeš, P.S. Varbanov, P.Y. Liew, Eds.), Elsevier, Amsterdam (The Netherlands) 973-978.
  • Meneghetti, N., P. Facco, F. Bezzo, M. Barolo (2014). Diagnosing process/model mismatch in first-principles models by latent variable modeling. In: Computer-Aided Chemical Engineering 33, 24th European Symposium on Computer Aided Process Engineering (J.J. Klemeš, P.S. Varbanov, P.Y. Liew, Eds.), Elsevier, Amsterdam (The Netherlands) 1897-1902.
  • Bernardi, A., G. Perin, E. Sforza, F. Galvanin, T. Morosinotto, F. Bezzo (2014). An identifiable state model to describe light intensity influence on microalgae growth. Ind. Eng. Chem. Res., 53, 6738−6749.
  • Rahman, M.S., M.E. Martino, B. Cardazzo, P. Facco, P. Bordin, R. Mioni, E. Novelli, L. Fasolato (2014). Vibrio trends in the ecology of the Venice lagoon. Appl. Environ. Microb., 80, 2372-2380.
  • Galvanin, F., M. Barolo, R. Padrini, S. Casonato, F. Bezzo (2014). A model-based approach to the automatic diagnosis of Von Willebrand disease. AIChE J., 60, 1718-1727.
  • Meneghetti, N., P. Facco, F. Bezzo, M. Barolo (2014). Process/model mismatch diagnosis by latent variable modeling. Presented at APM – Advanced Process Modelling Forum, London (U.K.), April 2-3.
  • Ottavian, M., M. Barolo, S. García-Muñoz (2014). Multivariate image and texture analysis to investigate the erosion mechanism of film-coated tablets: An industrial case study. J. Pharm. Innov., 9, 5-15.
  • Ottavian, M., L. Fasolato, L. Serva, P. Facco, M. Barolo (2014). Data fusion for food authentication: fresh/frozen-thawed discrimination in west African goatfish (Pseudupeneus prayensis) fillets. Food Bioprocess Technol., 7, 1025-1036.
  • Tomba, E., M. Barolo, S. García-Muñoz (2014). In-silico product formulation design through latent variable model inversion. Chem. Eng. Res. Des., 92, 534-544.
  • Ottavian, M., M. Barolo, S. García-Muñoz (2014). Maintenance of machine vision systems for product quality assessment. Part II. Addressing camera replacement. Ind. Eng. Chem. Res., 53, 1529-1536.
  • Facco, P., M. Largoni, E. Tomba, F. Bezzo, M. Barolo (2014). Transfer of process monitoring models between plants: Batch systems. Chem. Eng. Res. Des., 92, 273–284.
  • Tomba, E., N. Meneghetti, P. Facco, T. Zelenková, A.A. Barresi, D.L. Marchisio, F. Bezzo, M. Barolo (2014). Transfer of a nanoparticle product between different mixers using latent variable model inversion. AIChE J., 60, 123-135.
  • Galvanin, F., R. De Luca, G. Ferrentino, M. Barolo, S. Spilimbergo, F. Bezzo (2014). Bacterial inactivation on solid food matrices through supercritical CO2: a correlative study. J. Food Eng., 120, 146-157.

Year 2013

  • Ottavian, M., M. Barolo, S. García-Muñoz (2013). Multivariate image and texture analysis for film-coated tablets elegance assessment. In: Proc. DYCOPS 2013 – 10th International Symposium on Dynamics and Control of Process Systems (M. Henson and G. Pannocchia, Eds.), Mumbai (India), December 18-20, 331-336.
  • Giarola, S., F. Bezzo, N. Shah (2013). A risk management approach to the economic and environmental strategic design of ethanol supply chains. Biomass Bioenerg., 58, 31-51.
  • García-Muñoz, S., M. Ottavian and M. Barolo (2013). Overall elegance assessment for a solid oral dosage form using multivariate image analysis and multivariate texture analysis. Presented at the AIChE Annual Meeting, San Francisco (U.S.A.), 3-8 November.
  • Bernardi, A., F. Galvanin, G. Perin, T. Morosinotto, F. Bezzo (2013). Modeling the effect of light intensity in microalgae growth. Presented at the AIChE Annual Meeting, San Francisco (U.S.A.), 3-8 November.
  • Tomba, E., P. Facco, F. Bezzo, M. Barolo (2013). Latent variable modeling to assist the implementation of Quality-by-Design paradigms in pharmaceutical development and manufacturing – A review. Int. J. Pharm., 457, 283-297.
  • Ortiz-Gutiérrez, R.A., S. Giarola, F. Bezzo (2013). Optimal design of ethanol supply chains considering carbon trading effects and multiple technologies for side-product exploitation. Environ. Technol., 34, 2189–2199.
  • Ottavian, M., L. Fasolato, P. Facco, M. Barolo (2013). Foodstuff authentication from spectral data: toward a species-independent discrimination between fresh and frozen-thawed fish samples. J. Food Eng., 119, 765-775.
  • Ottavian, M., M. Barolo, S. García-Muñoz (2013). Maintenance of machine vision systems for product quality assessment. Part I. Addressing changes in lighting conditions. Ind. Eng. Chem. Res., 52, 12309-12318.
  • Mazzetto, F., R.A. Ortiz-Gutiérrez, D. Manca, F. Bezzo (2013). Strategic design of bioethanol supply chains including commodity market dynamics. Ind. Eng.Chem. Res., 52, 10305−10316.
  • Galvanin, F., C.C. Ballan, M. Barolo, F. Bezzo (2013). A general model-based design of experiments approach to achieve practical identifiability of pharmacokinetic and pharmacodynamic models. J. Pharmacokinet. Pharmacodyn., 40, 451–467.
  • Bezzo, F. (2013). Model-based experiment design, Non-sequential. In: Encyclopedia of Systems Biology (W. Dubitzky, O. Wolkenhauer, K.-H. Cho, H. Yokota, Eds.), Springer, New York (U.S.A.), 1413-1417.
  • Boschetti, L., M. Ottavian, P. Facco, M. Barolo, L. Serva, S. Balzan and E. Novelli (2013). A correlative study on data from pork carcass and processed meat (Bauernspeck) for automatic estimation of chemical parameters by means of near-infrared spectroscopy. Meat Sci., 95, 621-628.
  • Facco, P., M. Ottavian, L. Fasolato, M. Barolo (2013). Towards species-independent foodstuff authentication from spectral data: the case of fresh and frozen-thawed fish. 8th Colloquium Chemometricum Mediterraneum, Bevagna (Italy), 30 June – 4 July 2013.
  • Facco, P., E. Tomba, N. Meneghetti, T. Zelenkova, A. Barresi, D. Marchisio, F. Bezzo, M. Barolo (2013). Transferring the manufacturing of a pharmaceutical nanoparticle product between different plants. 8th Colloquium Chemometricum Mediterraneum, Bevagna (Italy), 30 June – 4 July 2013.
  • Bezzo, F. (2013). Strategic design of biofuel supply chains: a process systems engineering perspective. EURO-INFORMS XXVI 26th European Conference on Operational Research, Rome (Italy), 30 June – 4 July 2013.
  • Tomba, E., P. Facco, F. Bezzo, S. García-Muñoz (2013). Exploiting historical databases to design the target quality profile for a new product. Ind. Eng. Chem. Res.52, 8260−8271.
  • Bernardi, A., S. Giarola, F. Bezzo (2013). Spatially explicit multi-objective optimization for the strategic design of first and second generation biorefineries including carbon and water footprints. Ind. Eng. Chem. Res.52, 7170–7180.
  • Galvanin, F., M. Barolo, R.C. Bonadonna, F. Bezzo (2013). Identification of complex models of type 2 diabetes from IVGTT data by model-based design of experiments. In: Computer-Aided Chemical Engineering 32, 23rd European Symposium on Computer Aided Process Engineering (A. Kraslawski and I. Turunen, Eds.), Elsevier, Amsterdam (The Netherlands), 133-138.
  • Meneghetti, N., E. Tomba, P. Facco, F. Lince, D.L. Marchisio, A.A. Barresi, F. Bezzo, M. Barolo (2013). Supporting the transfer of products between different equipment through latent variable model inversion. In: Computer-Aided Chemical Engineering 32, 23rd European Symposium on Computer Aided Process Engineering (A. Kraslawski and I. Turunen, Eds.), Elsevier, Amsterdam (The Netherlands), 511-516.
  • Ortiz-Gutiérrez, R.A., S. Penazzi, A. Bernardi, S. Giarola, F. Bezzo (2013). A spatially-explicit approach to the design of ethanol supply chains considering multiple technologies and carbon trading effects. In: Computer-Aided Chemical Engineering 32, 23rd European Symposium on Computer Aided Process Engineering (A. Kraslawski and I. Turunen, Eds.), Elsevier, Amsterdam (The Netherlands), 643-648.
  • Tomba, E., M. De Martin, P. Facco, J. Robertson, S. Zomer, F. Bezzo, M. Barolo (2013). General procedure to aid the development of continuous pharmaceutical processes using multivariate statistical modeling – An industrial case study. Int. J. Pharm.444, 25-39.
  • Ottavian, M., M. Barolo, H. Zisser, E. Dassau, D. E. Seborg (2013). Adaptive blood glucose control for intensive care applications. Comput. Meth. Programs Biomed.109, 144-156.
  • Galvanin, F., M. Barolo, F. Bezzo (2013). On the use of continuous glucose monitoring systems to design optimal clinical tests for the identification of type 1 diabetes models. Comput. Meth. Programs Biomed.109, 157-170.
  • Facco, P., A. Masiero, A. Beghi (2013). Advances on multivariate image analysis for product quality monitoring. J. Process Cont.23, 89-98.

Year 2012

  • Bernardi, A., S. Giarola, F. Bezzo (2012). Optimising the economics and the carbon and water footprints of bioethanol supply chains. Biofuels, Bioprod. Biorefin.6, 656-672.
  • Tomba, E., M. Barolo, S. García-Muñoz (2012). Inversion of latent variable regression models to support product and process development. Presented at the AIChE Annual Meeting, Pittsburgh, PA (U.S.A.), October 28-November 2.
  • Tomba, E., M. Barolo, S. García-Muñoz (2012). General framework for latent variable model inversion for the design and manufacturing of new products. Ind. Eng. Chem. Res.51, 12886-12900.
  • Ottavian, M., P. Facco, L. Fasolato, M. Barolo (2012). Multispectral data classification using similarity factors.Chemom. Intell. Lab. Sys.118, 13-23.
  • Ottavian, M., P. Facco, M. Barolo, P. Berzaghi, S. Segato, E. Novelli and S. Balzan (2012). Near-infrared spectroscopy to assist authentication and labeling of Asiago d’allevo cheese. J. Food. Eng.113, 289-298.
  • Ballan, C.C., F. Galvanin, M. Barolo, F. Bezzo (2012), Parallel design of pharmacodynamic experiments for the identification of antimicrobial-resistant bacterial population models. In: Computer-Aided Chemical Engineering 31, 11th International Symp. on Process Systems Engineering (I.A. Karimi, R. Srinivasan Eds.), Elsevier, Amsterdam (The Netherlands), 1125-1129.
  • Bernardi, A., S. Giarola, F. Bezzo (2012), A framework for water footprint optimisation along the bioethanol supply chain. In:Computer-Aided Chemical Engineering 31, 11th International Symp. on Process Systems Engineering (I.A. Karimi, R. Srinivasan Eds.), Elsevier, Amsterdam (The Netherlands), 1372-1376.
  • Tomba, E., S. García-Muñoz, P. Facco, F. Bezzo, M. Barolo (2012). A general framework for latent variable model inversion to support product and process design. In: Computer-Aided Chemical Engineering 30, 22nd European Symposium on Computer Aided Process Engineering (I.D.L. Bogle and M. Fairweather, Eds.), Elsevier, Amsterdam (The Netherlands), 512-516.
  • Tomba, E., P. Facco, F. Bezzo, S. García-Muñoz, M. Barolo (2012). Combining fundamental knowledge and latent variable techniques to transfer process monitoring models between plants. Chemom. Intell. Lab. Sys.116, 67-77.
  • Facco, P., E. Tomba, F. Bezzo, S. García-Muñoz, M. Barolo (2012). Transfer of process monitoring models between different plants using latent variable techniques. Ind. Eng. Chem. Res.51, 7327-7339.
  • Galvanin, F., M. Barolo, G. Pannocchia, F. Bezzo (2012). Online model-based redesign of experiments with erratic models: a disturbance estimation approach. Comput. Chem. Eng.42, 138-151.
  • Giarola, S., A. Zamboni, F. Bezzo (2012). Environmentally conscious capacity planning and technology selection for bioethanol supply chains. Renewable Energy43, 61-72.
  • Ottavian, M., P. Facco, L. Fasolato, E. Novelli, M. Mirisola, M. Perini, M. Barolo (2012). Use of near-infrared spectroscopy for fast fraud detection in seafood: application to the authentication of wild European sea bass (Dicentrarchus labrax). J. Agric. Food Chem.60, 639-648.
  • Giarola, S., N. Shah, F. Bezzo (2012). A comprehensive approach to the design of ethanol supply chains including carbon trading effects. Bioresour. Technol.107, 175-185

Year 2011

  • Giarola, S., A. Zamboni, F. Bezzo (2011). Environmentally conscious supply chain design and capacity planning: From first to second generation biofuel systems. In: AIDIC Conference Series, Vol.10 (S. Pierucci, Ed.), 137-145.
  • Tomba, E., P. Facco, F. Bezzo, S. García-Muñoz, M. Barolo (2011). Transferring monitoring models between different scales through multivariate statistical techniques. Presented at AIChE 2011 Annual Meeting, Minneapolis, USA, 16-21 October 2011.
  • Giarola, S., N. Shah, F. Bezzo (2011). Assessing the economic and environmental performance of ethanol supply chains under market uncertainty. Presented at ISAF XIX, Verona, Italy, 10-14 October 2011.
  • Sforza, E., A. Bertucco, T. Morosinotto, F. Bezzo, G.M. Giacometti (2011). Autotrophic growth of Nannochloropsis salina in a continuous photobioreactor. Presented at ISAF XIX, Verona, Italy, 10-14 October 2011.
  • Facco, P., A. Masiero, F. Bezzo, M. Barolo, A. Beghi (2011). Improved multivariate image analysis for product quality monitoring. Chemom. Intell. Lab. Sys.109, 42-50.
  • Facco, P., A. Masiero, F. Bezzo, A. Beghi, M. Barolo (2011). An improved multivariate image analysis method for quality control of nanofiber membranes. In: Proceedings IFAC 18th World Congress, 28 August-2 September 2011, Milan, Italy (S. Bittanti, A. Cenedese and S. Zampieri, Eds.) 12066-12071.
  • Galvanin, F., M. Barolo, F. Bezzo (2011). Online redesign of clinical tests for the identification of type 1 diabetes models in the presence of continuous glucose monitoring systems. In: Proceedings IFAC 18th World Congress, 28 August-2 September 2011, Milan, Italy (S. Bittanti, A. Cenedese and S. Zampieri, Eds.) 8328-8333.
  • Khor, C.S., S. Giarola, B. Chachuat, N. Shah (2011). An optimization-based framework for process planning under uncertainty with risk management. Chem. Prod. Process Model.6(2), Article 2.
  • Giarola, S., A. Zamboni, F. Bezzo (2011). Spatially-explicit multi-objective optimisation for design and planning of hybrid first and second generation biorefineries. Comput. Chem. Eng.35, 1782-1797.
  • Sforza, E., F. Bezzo, T. Morosinotto, G.M. Giacometti, A. Bertucco (2011). Effect of light intensity and high frequency pulsation on autotrophic growth of Nannochloropsis salina in flat plate reactor. Presented at the 1st International Conference on Algal Biomass, Biofuels and Bioproducts, 17-20 July 2011, Westin St. Luis, USA.
  • Zamboni, A., R.J. Murphy, J. Woods, F. Bezzo, N. Shah (2011) Biofuels carbon footprints: Whole-systems optimization for GHG emissions reduction. Bioresour. Technol.102, 7457-7465.
  • Galvanin, F., M. Barolo, G. Pannocchia, F. Bezzo (2011). A disturbance estimation approach for online model-based redesign of experiments in the presence of systematic errors. In: Computer Aided Chemical Engineering 29, European Symposium on Computer Aided Process Engineering (E.N. Pistikopoulos, M.C. Georgiadis, A.C. Kokossis, Eds.), Elsevier, Amsterdam (The Netherlands), 467-471.
  • Zamboni, A., S. Giarola, F. Bezzo (2011). Towards second generation bioethanol: Supply chain design and capacity planning. In: Computer Aided Chemical Engineering 29, European Symposium on Computer Aided Process Engineering (E.N. Pistikopoulos, M.C. Georgiadis, A.C. Kokossis, Eds.), Elsevier, Amsterdam (The Netherlands), 1693-1697.
  • Giarola, S., A. Zamboni, F. Bezzo (2011). Supply chain design and capacity planning: From first to second generation biofuel systems. In: Chemical EngineeringTransactions 24, ICheaP-10 (S. Pierucci, Ed.), AIDIC, Milan (Italy) 253-258.
  • Zamboni, A., N. Shah, F. Bezzo (2011). Whole-systems optimisation for carbon footprints reduction of corn bioethanol. In:Proceedings World Renewable Energy Congress 2011, 8-11 May, Linköping, Sweden (B. Moshfegh, Ed.), Linköping University Electronic Press, 3637-3644.
  • Akgul, O., A. Zamboni, F. Bezzo, N. Shah, L.G. Papageorgiou (2011). Optimization-based approaches for bioethanol supply chains. Ind. Eng. Chem. Res.50, 4927-4938.
  • Dal Mas, M., S. Giarola, A. Zamboni, F. Bezzo (2011). Strategic design and investment capacity planning of the ethanol supply chain under price uncertainty. Biomass Bioenerg.35, 2059-2071.
  • Ottavian, M., M. Barolo, H. Zisser, E. Dassau, D.E. Seborg (2011). Improved blood glucose control for critically ill subjects. J. Process Control21, 331-342.
  • Galvanin, F., M. Barolo, S. Macchietto, F. Bezzo (2011). Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch. Med. Biol. Eng. Comput.49, 263-277.
  • Galvanin, F., A. Boschiero, M. Barolo, F. Bezzo (2011). Model-based design of experiments in the presence of continuous measurement systems. Ind. Eng. Chem. Res.50, 2167-2175.

Year 2010

  • Galvanin, F., M. Barolo, S. Macchietto, F. Bezzo (2010). Identification of physiological models of type 1 diabetes mellitus by model-based design of experiments. In: Process Systems Engineering: Vol. 7 Dynamic Process Modeling (J.R. Banga, M.C. Georgiadis, E.N. Pistikopoulos, Eds.), Wiley-VCH Verlag, Weinheim (Germany), 545-581.
  • Ottavian, M., M. Barolo, H. Zisser, E. Dassau, D.E. Seborg (2010). A novel glucose control strategy for intensive care unit applications. In: Proceedings UKACC International Conference on CONTROL 2010, Coventry University, UK, 7-10 September (K.J. Burham and V.E. Ersanilli, Eds.), 799-804.
  • Galvanin, F., M. Barolo, F. Bezzo (2010). On the optimal design of clinical tests for the identification of type 1 diabetes models in the presence of continuous glucose monitoring systems. In: Proceedings UKACC International Conference on CONTROL 2010, 7-10 September, 2010, Coventry University, UK (K.J. Burham and V.E. Ersanilli, Eds.), 321-326.
  • Facco, P., E. Tomba, M. Roso, M. Modesti, F. Bezzo, M. Barolo (2010). Automatic characterization of nanofiber assemblies by image texture analysis. Chemom. Intell. Lab. Sys., 103, 66-75.
  • Facco, P., E. Tomba (2010). Soft sensor for the characterization of fibrous materials through multivariate and multiresolution image analysis. In: Proceedings IEEE Sensors Conference 2010, Waikoloa (Hawaii, USA), Novembre 4-8, 1319-132.
  • Galvanin, F., M. Barolo, F. Bezzo (2010). A framework for model-based design of experiments in the presence of continuous measurement systems. In: Proceedings DYCOPS 2010, 9th Intern. Symp. on Dynamics and Control of Process Systems, Leuven, Belgium, 5-7 July 2010 (M. Kothare, M. Tade, A. Vande Wouwer, I. Smets, Eds.), IFAC, 557-562.
  • Galvanin, F., M. Barolo, F. Bezzo, S. Macchietto (2010). A backoff strategy for model-based experiment design under parametric uncertainty. AIChE J., 56, 2088-2102.
  • Dal Mas, M., S. Giarola, A. Zamboni, F. Bezzo (2010). Capacity planning and financial optimization of the bioethanol supply chain under price uncertainty. In: Computer Aided Chemical Engineering 28, European Symposium on Computer Aided Process Engineering (S. Pierucci, G. Buzzi-Ferraris, Eds.), Elsevier, Amsterdam (The Netherlands), 97-102.
  • Facco, P., F. Benozzo, M. Barolo, P. Berzaghi (2010). Comparison between different standardization methods for the quality estimation of forages in portable NIR spectrometers. In: Proc. NIR on the Go 2010 (Padova, Italy; May 27-28), 23-25.
  • Sudiro, M., M. Pellizzaro, F. Bezzo, A. Bertucco (2010). Simulated moving bed technology applied to coal gasification. Chem. Eng. Res. Des., 88, 465-475.
  • Tomba, E., P. Facco, M. Roso, M. Modesti, F. Bezzo, M. Barolo (2010). Artificial vision system for the automatic measurement of interfiber pore characteristics and fiber diameter distribution in nanofiber assemblies. Ind. Eng. Chem. Res., 49, 2957-2968.
  • Facco, P., F. Bezzo, M. Barolo (2010). Nearest neighbor method for the automatic maintenance of multivariate statistical soft sensors in batch processing. Ind. Eng. Chem. Res, 49, 2336-2347.
  • Piccolo, C., M. Wiman, F. Bezzo, G. Lidén (2010). Enzyme adsorption on SO2 catalyzed steam-pretreated wheat and spruce material. Enzyme Microb. Technol., 46, 159-169.

Year 2009

  • Facco, P., E. Tomba, M. Roso, M. Modesti, F. Bezzo and M. Barolo (2009). Surface characterization and quality monitoring of polymer nanofibre membranes using multivariate image analysis. Presented at the AIChE 2009 Annual Meeting, Nashville, USA, 8-13 Novembre 2009.
  • Facco, P., F. Bezzo and M. Barolo (2009). Online maintenance of multivariate statistical soft sensors for quality monitoring in batch processes. Presented at the AIChE 2009 Annual Meeting, 8-13 Novembre 2009, Nashville, USA.
  • Vernier, M., I.S. Kim, P. Lawrence and F. Bezzo (2009). Multiscale modelling of a typical industrial oxidation reactor for terephthalic acid production via a hybrid multizonal-CFD approach. Presented at the AIChE 2009 Annual Meeting, 8-13 Novembre 2009, Nashville, USA.
  • Zamboni, A., F. Bezzo and N. Shah (2009). Spatially explicit static model for the strategic design of future bioethanol production systems. 2. Multiobjective environmental optimization. Energy Fuels, 23, 5134-5143.
  • Zamboni, A., N. Shah and F. Bezzo (2009). Spatially explicit static model for the strategic design of future bioethanol production systems. 1. Cost minimization. Energy Fuels, 23, 5121-5133.
  • Galvanin, F., M. Barolo, S. Macchietto and F. Bezzo (2009). On the optimal design of clinical tests for the identification of physiological models of type 1 diabetes mellitus. In: Computer-Aided Chemical Engineering 27, 10th International Symp. on Process Systems Engineering (R.M. Brito-Alves, C.A. Oller do Nascimento, E.C. Biscaia Jr., Eds.), Elsevier, Amsterdam (The Netherlands), 183-188.
  • Piccolo, C., G. Lidén and F. Bezzo (2009). Effect of substrate specific area on lignocellulose enzymatic hydrolysis: An experimental and modeling investigation. In: Computer-Aided Chemical Engineering 27, 10th International Symp. on Process Systems Engineering (R.M. Brito-Alves, C.A. Oller do Nascimento, E.C. Biscaia Jr., Eds.), Elsevier, Amsterdam (The Netherlands), 1701-1706.
  • Zamboni, A., F. Bezzo and N. Shah (2009). Supply chain optimization for bioethanol production system in Northern Italy: Environmentally conscious strategic design. In: Computer-Aided Chemical Engineering 27, 10th International Symp. on Process Systems Engineering (R.M. Brito-Alves, C.A. Oller do Nascimento, E.C. Biscaia Jr., Eds.), Elsevier, Amsterdam (The Netherlands), 2037-2042.
  • Dal Mas, M., A. Zamboni and F. Bezzo (2009). Bioethanol production in Northern Italy: supply chain design and capacity planning under uncertainty. Presented at the 17th European Biomass Conference and Exhibition – From Reasearch to Industry and Markets, 29 June – 3 July, Hamburg, Germany.
  • Zamboni, A., N. Shah and F. Bezzo (2009). Bioethanol production system in Northern Italy: Supply chain design and cost optimisation. In: Design for Energy and the Environment (M.M. El-Halwagi, A.A. Linninger, Eds.), CRC Press, Boca Raton FL (U.S.A.), 125-139.
  • Galvanin, F., M. Barolo, F. Bezzo and S. Macchietto (2009). A backoff-based strategy to improve robustness in model-based experimental design under parametric uncertainty. In: Design for Energy and the Environment (M.M. El-Halwagi, A.A. Linninger, Eds.), CRC Press, Boca Raton FL (U.S.A.), 623-630.
  • Galvanin, F., M. Barolo and F. Bezzo (2009). Online model-based re-design of experiments for parameter estimation in dynamic systems. Ind. Eng. Chem. Res., 48, 4415-4427.
  • Facco, P., R. Mukherjee, F. Bezzo, M. Barolo and J.A. Romagnoli (2009). Monitoring roughness and edge shape on semiconductors through multiresolution and multivariate image analysis. AIChE J., 55, 1147-1160.
  • Faggian, A., P. Facco, F. Doplicher, F. Bezzo and M. Barolo (2009). Multivariate statistical real-time monitoring of an industrial fed-batch process for the production of specialty chemicals. Chem. Eng. Res. Des., 87, 325-334.
  • Facco, P., F. Doplicher, F. Bezzo and M. Barolo (2009). Moving-average PLS soft sensor for online product quality estimation in an industrial batch polymerization process. J. Process Cont., 19, 520-529.
  • Galvanin, F., M. Barolo, S. Macchietto and F. Bezzo (2009). Optimal design of clinical tests for the identification of physiological models of type 1 diabetes mellitus. Ind. Eng. Chem. Res., 48, 1989-2002.
  • Piccolo, C. and F. Bezzo (2009). A techno-economical comparison between two technologies for bioethanol production from lignocellulose. Biomass Bioenerg., 33, 478-491.

Year 2008

  • Galvanin, F., M. Barolo and F. Bezzo (2008). Towards on-line model-based design of experiments. In: European Symposium on Computer Aided Process Engineering – 18 (B. Braunschweig and X. Joulia, Eds.), Elsevier, Amsterdam (The Netherlands), 349-354.
  • Facco, P., A. Faggian, F. Doplicher, F. Bezzo and M. Barolo (2008). Virtual sensors can reduce lab analysis requirements in the industrial production of specialty chemicals. In: Proc. EMCC5 – 5th Chemical Engineering Conference for Collaborative Research in Eastern Mediterranean Countries, Cetraro (Italy), May 24-29, 178-181.
  • Barolo, M., F. Bezzo and P. Facco (2008). Sensori virtuali per monitorare la qualità di prodotti e processi. ICP, XXXVI(4), 82-84.
  • Franceschin, G., A. Zamboni, F. Bezzo and A. Bertucco (2008). Ethanol from corn: a technical and economic assessment based on different scenarios. Chem. Eng. Res. Des., 86, 488-498.
  • Marchetti, G., M. Barolo, L. Jovanovič, H. Zisser and D. E. Seborg (2008). An improved PID switching control strategy for type 1 diabetes. IEEE Trans. Biomed. Eng., 55, 857-865.
  • Marchetti, G., M. Barolo, L. Jovanovič, H. Zisser and D. E. Seborg (2008). A feedforward-feedback glucose control strategy for type 1 diabetes mellitus. J. Process Control, 18, 149-162.

Year 2007

  • Bezzo, F. and A. Bertucco (2007). Aspetti Tecnico-Economici della Produzione di Bioetanolo e Prospettive Future, in Biocarburanti e Biocombustibili – Soluzioni, Tecnologie, Agevolazioni, IPSOA, Milano, 189-207.
  • Franceschin, G., M. Sudiro, A. Zamboni, F. Bezzo, A. Bertucco (2007). Energy and economic assessment of bioethanol production by a dry milling process, In: AIDIC Conference Series, Vol.8, 141-150.
  • Facco, P., M. Olivi, C. Rebuscini, F. Bezzo and M. Barolo (2007). Multivariate Statistical Estimation of Product Quality in the Industrial Batch Production of a Resin. Proc. DYCOPS 2007 – 8th IFAC Symposium on Dynamics and Control of Process Systems (B. Foss and J. Alvarez, Eds.), Cancun (Mexico), June 6-8, vol. 2, 93-98.
  • Galvanin, F., S. Macchietto and F. Bezzo (2007). Model-based design of parallel experiments. Ind. Eng. Chem. Res., 46, 871-882.
  • Infanti, R., M. Ostoich and F. Bezzo (2007). Caratterizzazione della Qualità delle Acque Superficiali tramite Tecniche di Analisi Multivariabile: Applicazione al Bacino Scolante in Laguna di Venezia, Ingegneria Ambientale, XXXVI (9), 457-470.
  • Piccolo, C. and F. Bezzo (2007). Ethanol from lignocellulosic biomass: a comparison between conversion technologies, Computer-Aided Chemical Engineering 24, 17th European Symp. on Computer Aided Process Engineering (V. Plesu and P.S. Agachi, Eds.), Elsevier, Amsterdam, Paesi Bassi, 1277-1282.

Year 2006

  • Galvanin, F., M. Barolo, F. Bezzo and S. Macchietto (2006). A Framework for Model-Based Design of Parallel Experiments in Dynamic Systems. In: European Symposium on Computer Aided Process Engineering – 16 (W. Marquardt and C. Pantelides, Eds.), Elsevier, Amsterdam (The Netherlands), 249-254.
  • Marchetti, G., M. Barolo, L. Jovanovič, H. Zisser and D. E. Seborg (2006). Preprandial and Feedforward-Feedback Control Strategies Can Improve Postprandial Responses for Type 1 Diabetes. Presented at the Sixth Annual Diabetes Technology Meeting (Atlanta, GA, U.S.A.; November 2-4).
  • Marchetti, G., M. Barolo, L. Jovanovič, H. Zisser and D. E. Seborg (2006). An Improved PID Switching Control Strategy for Type 1 Diabetes. Proc. 28th IEEE EMBS Annual Int. Conf., New York City (U.S.A.), Aug. 30-Sept. 3, 5041-5044.
  • Muradore, R., F. Bezzo (2006). A framework for PLS-SIM integration. Proc. 14th IFAC Symposium on System Identification, SYSID-2006, Newcastle (Australia), 29-31 March 2006, 291-296.
  • Muradore, R., F. Bezzo and M. Barolo (2006). Optimal Sensor Location for Distributed Sensor Systems using Multivariate Regression. Comput. Chem. Eng., 30, 521-534.

Year 2005

  • Bezzo, F. and M. Barolo (2005). Understanding the Dynamic Behaviour of Middle-Vessel Continuous Distillation Columns. Chem. Eng. Sci., 60, 553-563.
  • Bezzo, F., F. Micheletti, R. Muradore and M. Barolo (2005). Using MPC to Control Middle-Vessel Continuous Distillation Columns. J. Process Control, 15, 925-930.
  • Bezzo, F., R. Muradore and M. Barolo (2005). Using Structured and Unstructured Estimators for Distillation Units: a Critical Comparison. In: European Symposium on Computer Aided Process Engineering – 15 (L. Puigjaner, Ed.), Elsevier, Amsterdam (The Netherlands), 1201-1206.
  • Bezzo, F., S. Macchietto and C. C. Pantelides (2005). Computational issues in hybrid multizonal/computational fluid dynamics models. AIChE J., 51, 1169-1177.
  • Muradore, R., F. Bezzo and M. Barolo (2005). Metodo Sequenziale per l’Allocazione Ottimale dei Sensori di Misura. Automaz. e Strumentaz., LIII(3), 97-103.
  • Tronci, S., F. Bezzo, M. Barolo and R. Baratti (2005). Geometric Observer for a Distillation Column: Development and Experimental Testing. Ind. Eng. Chem. Res., 44, 9884-9893.
  • Zamprogna, E., M. Barolo and D. E. Seborg (2005). Optimal Selection of Soft Sensor Inputs for Batch Distillation Columns using Principal Component Analysis. J. Process Control, 15, 39-52.

Year 2004

  • Baratti, R., M. Barolo, F. Bezzo and S. Tronci (2004). Robust Dynamic State Estimation of a Binary Distillation Column. Proc. DYCOPS-7 – 7th IFAC Symposium on Dynamics and Control of Process Systems (W.D. Seader, S. Shah and J. MacGregor, Eds.), Cambridge, MA (U.S.A.), July 5-7.
  • Bezzo, F. and M. Barolo (2004). Interactions between Design and Control for Middle-Vessel Continuous Distillation Columns. Atti del Convegno GRICU 2004 (Porto d’Ischia, NA, 12-15 Settembre), 1311-1314.
  • Bezzo, F. and S. Macchietto (2004). A general methodology for hybrid multizonal/CFD models – Part II. Automatic zoning. Comput. Chem. Eng., 28, 513-525.
  • Bezzo, F., S. Macchietto and C. C. Pantelides (2004). A general methodology for hybrid multizonal/CFD models – Part I. Theoretical framework. Comput. Chem. Eng., 28, 510-511.
  • Bezzo, F., R. Bernardi, G. Cremonese, M. Finco and M. Barolo (2004). Using Process Simulators for Steady State and Dynamic Plant Analysis: an Industrial Case Study. Chem. Eng. Res. Des., 82, 499-512.
  • Bezzo, F., S. Varrasso and M. Barolo (2004). On the Controllability of Middle-Vessel Continuous Distillation Columns. Ind. Eng. Chem. Res., 43, 2721-2729.
  • Muradore, R., F. Bezzo and M. Barolo (2004). Metodo Sequenziale per l’Allocazione Ottima di Sensori. Presentato al 48° Convegno ANIPLA (Milano, 14-15 Settembre).
  • Muradore, R., F. Bezzo and M. Barolo (2004). Optimal Sensor Location for Distributed Parameter Systems using Multivariate Regression. Atti del Convegno GRICU 2004 (Porto d’Ischia, NA, 12-15 Settembre), 1383-1386.
  • Tronci, S., S. Frau, F. Bezzo, M. Barolo and R. Baratti (2004). State Estimation of a Distillation Column through a Grey Model-Based Geometric Observer. Presented at CHISA 2004 (Praha, Czech Republic, August 22-26), 437-438.
  • Zamprogna, E., M. Barolo and D. E. Seborg (2004). Estimating Product Composition Profiles in Batch Distillation via Partial Least Squares Regression. Control Eng. Practice, 12, 917-929.

Year 2003

  • Barolo, M., G. B. Guarise, C. Marchi, S. A. Rienzi and A. Trotta (2003). Rapid and Reliable Tuning of Dynamic Distillation Column Models on Experimental Data. Chem. Eng. Commun., 190, 1583-1600.
  • Bezzo, F., R. Bernardi, G. Cremonese, M. Finco and M. Barolo (2003). The Use of Process Simulation for Steady-State and Dynamic Analysis of Plant Behaviour: an Industrial Case Study. Presented at Sixth Italian Conf. Chem. Proc. Eng. (ICheaP-6; Pisa, 8-11 Giugno), 1245-1250.
  • Bezzo, F., S. Macchietto and C. C. Pantelides (2003). General hybrid multizonal/CFD approach for bioreactor modeling. AIChE J., 49, 2133-2148.
  • Bezzo, F., S. Varrasso and M. Barolo (2003). Controllability Issues for Middle-Vessel Continuous Columns. Presented at Sixth Italian Conf. Chem. Proc. Eng. (ICheaP-6; Pisa, 8-11 Giugno), 1111-1116.
  • Greaves, M. A., I. M. Mujtaba, M. Barolo, A. Trotta and M. A. Hussain (2003). Neural Network Approach to Dynamic Optimization of Batch Distillation – Application to a Middle-vessel Column. Chem. Eng. Res. Des., 81, 393-401.
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