Imperial College London

Prof. Sandro Macchietto

Faculty of EngineeringDepartment of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
//

Contact

 

+44 (0)20 7594 6608s.macchietto Website

 
 
//

Assistant

 

Miss Nazma Mojid +44 (0)20 7594 3918

 
//

Location

 

ACEX 507ACE ExtensionSouth Kensington Campus

//

Summary

 

Publications

Publication Type
Year
to

224 results found

Galvanin F, Barolo M, Macchietto S, Bezzo Fet al., 2011, Identification of Physiological Models of Type 1 Diabetes Mellitus by Model-Based Design of Experiments, Process Systems Engineering, Pages: 545-581, ISBN: 9783527316960

Book chapter

Coletti F, Macchietto S, Polley GT, 2011, Effects of fouling on performance of retrofitted heat exchanger networks: A thermo-hydraulic based analysis, COMPUTERS & CHEMICAL ENGINEERING, Vol: 35, Pages: 907-917, ISSN: 0098-1354

Journal article

Coletti F, Macchietto S, 2011, A Dynamic, Distributed Model of Shell-and-Tube Heat Exchangers Undergoing Crude Oil Fouling, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, Vol: 50, Pages: 4515-4533, ISSN: 0888-5885

Journal article

Galvanin F, Barolo M, Macchietto S, Bezzo Fet al., 2011, Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch, MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, Vol: 49, Pages: 263-277, ISSN: 0140-0118

Journal article

Coletti F, Macchietto S, 2011, Refinery Pre-Heat Train Network Simulation Undergoing Fouling: Assessment of Energy Efficiency and Carbon Emissions, HEAT TRANSFER ENGINEERING, Vol: 32, Pages: 228-236, ISSN: 0145-7632

Journal article

Macchietto S, Hewitt GF, Coletti F, Crittenden BD, Dugwell DR, Galindo A, Jackson G, Kandiyoti R, Kazarian SG, Luckham PF, Matar OK, Millan-Agorio M, Muller EA, Paterson W, Pugh SJ, Richardson SM, Wilson DIet al., 2011, Fouling in Crude Oil Preheat Trains: A Systematic Solution to an Old Problem, HEAT TRANSFER ENGINEERING, Vol: 32, Pages: 197-215, ISSN: 0145-7632

Journal article

Coletti F, Macchietto S, 2011, Refinery Energy Losses Due to Fouling in Heat Exchangers, Hydrocarbon World, Vol: 6

Journal article

Coletti F, Hewitt GF, Dugwell DR, Macchietto Set al., 2010, Integrating crude oil fouling modelling and experiments on a new high pressure pilot-scale test rig, 10AIChE - 2010 AIChE Annual Meeting, Conference Proceedings

Crude oil fouling is a long-standing problem in oil refineries which causes major energy efficiency and economic losses, extra environmental emissions and disruption of operations, with related health and safety hazards. Because of the complex and interacting phenomena involved, the underlying mechanisms leading to fouling depositions are not well understood. Acquiring experimental data in a controlled laboratory environment representative of realistic refinery conditions, through very precise measurements, is a required step for gaining a better understanding of the fouling mechanisms and for testing mitigation strategies. This is important for improving refineries operational efficiency. Moreover, data on crude fouling behavior provide sensitive and important commercial information for oil companies which often base buying, pricing and allocation strategies on the quality of the crudes, including the ease with which they can be processed in specific refineries. A state-of-the-art high pressure oil rig (HIPOR) has been built at Imperial College London by a team under the lead of Prof. G. F. Hewitt. This facility is designed to process crude oil in two test sections (a tube and an annulus) up to 30 bars and 300 °C and to measure with accuracy key variables such as inlet and outlet temperatures, flowrates, heat fluxes and pressure drops. Moreover, temperature profiles across the length of the annular test section can be measured through a radiation equilibrium thermometer whilst the actual thickness of the foulant layer can be measured simultaneously using a novel dynamic gauging technique. The traditional experimental approach to crude oil fouling research focuses on the collection of fouling data which are typically interpreted through overall, lumped heat balances to yield overall fouling resistances. In this paper, an integrated approach is discussed which combines the detailed data from the above experimental apparatus with sophisticated thermo-hydraulic mod

Journal article

Coletti F, Ishiyama EM, Paterson WR, Wilson DI, Macchietto Set al., 2010, Impact of Deposit Aging and Surface Roughness on Thermal Fouling: Distributed Model, AICHE JOURNAL, Vol: 56, Pages: 3257-3273, ISSN: 0001-1541

Journal article

Polley GT, Wilson DI, Macchietto S, Coletti F, Kumana J, Pugh SJet al., 2010, Review of developments in the use of fouling models in pre-heat train design and operational analysis

This presentation will cover the application of fouling models in the design of heat exchangers for use in pre-heat trains and in the modification of pre-heat train structure to mitigate fouling; the application of thermo-hydraulic simulation in the design, revamp, and operational management of pre-heat trains; and the development of a new model for the prediction of fouling in heat exchangers used to heat crude oil. This is an abstract of a paper presented at the AIChE 2010 Spring National Meeting (San Antonio, TX 3/21-25/2010).

Conference paper

Polley GT, Wilson DI, Macchietto S, Coletti F, Kumana J, Pugh SJet al., 2010, Holistic approach to the revamping and de-bottlenecking of pre-heat trains

The revamping of pre-heat trains requires simultaneous consideration of heat recovery thermodynamics, heat exchanger technology, heat exchanger fouling, control strategy, and future plant operation. Heat flow analysis allows the engineer to link plant structure and potential heat recovery. The temperature and pressure field plots then provide guidance on the fouling that is likely to occur within the individual heat exchangers. Thermal simulation coupled with fouling models can be used to examine how individual heat exchanger designs behave in a given pre-heat train structure. This allows the engineer to explore the true economics of a proposed revamp. The same simulator can be used to evaluate de-salter control options and to identify optimal exchanger cleaning strategies. Once, a plant has been revamped, the simulator can be used to provide the operator with guidance on how fouling affects current plant performance and evaluate the consequences of removing exchangers for cleaning. This is an abstract of a paper presented at the AIChE 2010 Spring National Meeting (San Antonio, TX 3/21-25/2010).

Conference paper

Polley GT, Tamakloe E, Wilson DI, Macchietto S, Coletti Fet al., 2010, Development of a model for the prediction of fouling in heat exchangers processing crude oil

This presentation covers the asphaltene precipitation due to fouling; chemical reaction fouling; behavior of fluid close to heat exchanger wall; fouling model based on sticking probability; comparison with laboratory measurement of fouling rate in crude oil systems; comparison with plant data from an exchanger situated in refinery in Europe; and aging of deposits that can prevent reliable mapping of laboratory data to plant data and vice versa. This is an abstract of a paper presented at the AIChE 2010 Spring National Meeting (San Antonio, TX 3/21-25/2010).

Conference paper

Polley GT, Tamakloe E, Wilson DI, Macchietto S, Coletti Fet al., 2010, Development of a model for the prediction of fouling in heat exchangers processing crude oil

Conference paper

Polley GT, Wilson DI, Macchietto S, Coletti F, Kumana J, Pugh SJet al., 2010, Review of developments in the use of fouling models in pre-heat train design and operational analysis

Conference paper

Polley GT, Wilson DI, Macchietto S, Coletti F, Kumana J, Pugh SJet al., 2010, Holistic approach to the revamping and de-bottlenecking of pre-heat trains

The revamping of pre-heat trains requires simultaneous consideration of heat recovery thermodynamics, heat exchanger technology, heat exchanger fouling, control strategy and future plant operation. Heat flow analysis allows the engineer to link plant structure and potential heat recovery. The temperature and pressure field plots then provide guidance on the fouling that is likely to occur within the individual heat exchangers. Thermal simulation coupled with fouling models can be used to examine how individual heat exchanger designs behave in a given pre-heat train structure. This allows the engineer to explore the true economics of a proposed revamp. The same simulator can be used to evaluate de-salter control options and to identify optimal exchanger cleaning strategies. Once, a plant has been revamped the simulator can be used to provide the operator with guidance on how fouling affects current plant performance and evaluate the consequences of removing exchangers for cleaning.

Conference paper

Galvanin F, Barolo M, Bezzo F, Macchietto Set al., 2010, A Backoff Strategy for Model-Based Experiment Design Under Parametric Uncertainty, AICHE JOURNAL, Vol: 56, Pages: 2088-2102, ISSN: 0001-1541

Journal article

Ishiyama EA, Coletti F, Macchietto S, Paterson WR, Wilson DIet al., 2010, Impact of Deposit Ageing on Thermal Fouling: Lumped Parameter Model, AICHE JOURNAL, Vol: 56, Pages: 531-545, ISSN: 0001-1541

Journal article

Coletti F, Macchietto S, Polley GT, 2010, Effects of fouling on performance of retrofitted heat exchanger networks; a thermo-hydraulic based analysis, 20th European Symposium on Computer Aided Process Engineering (ESCAPE), Publisher: ELSEVIER SCIENCE BV, Pages: 19-24, ISSN: 1570-7946

Conference paper

Galvanin F, Barolo M, Bezzo F, Macchietto Set al., 2010, A Backoff-based Strategy to Improve Robustness in Model-based Experiment Design Under Parametric Uncertainty, 7th International Conference on the Foundations of Computer-Aided Process Design (FOCAPD), Publisher: CRC PRESS-TAYLOR & FRANCIS GROUP, Pages: 623-630

Conference paper

Coletti F, Macchietto S, 2010, VALIDATION OF A NOVEL MODEL FOR SHELL AND TUBE HEAT EXCHANGERS UNDERGOING CRUDE OIL FOULING, 14th International Heat Transfer Conference, Publisher: AMER SOC MECHANICAL ENGINEERS, Pages: 741-750

Conference paper

Ishiyama EM, Coletti F, Macchietto S, Paterson WR, Wilson DIet al., 2010, Erratum: Impact of deposit ageing on thermal fouling: Lumped parameter model, AIChE Journal, Vol: 56, Pages: 1671-1671

Journal article

Lone S, Cockerill TT, Macchietto S, 2010, Techno-economics of a phased approach to developing a UK carbon dioxide pipeline network, First International Forum on Transport of CO2 by pipeline

Conference paper

Lone S, Cockerill T, Macchietto S, 2010, The techno-economics of a phased approach to developing a UK carbon dioxide pipeline network, Journal of Pipeline Engineering, Vol: 9, Pages: 223-234

Journal article

Coletti F, Macchietto S, 2009, Multi-scale modelling of refinery pre-heat trains: Effect of crude fouling on energy recovery, carbon emission and economics

Pre-heat trains (PHTs) in crude distillation units are complex networks of heat exchangers used to recovery up to 60-70% of all the energy necessary for primary fractionation. Efficiency of the train is severely impaired by fouling, the deposition of unwanted material on the thermal surfaces. Economic losses related to this problem was estimated of the order of 1.2 billion dollars p.a. in the United States alone when the price of oil was significantly cheaper. Maintenance issues as well as health and safety hazards are also related to this problem that oil refineries have been facing for decades. Experimental evidences show that fouling rates are function of crude composition and process conditions, namely temperature and velocity. It has also been demonstrated that, for a given crude composition, threshold conditions of temperatures and velocities exist below which no fouling occurs. However, the complex chemical and physical mechanisms underlying fouling deposition are still poorly understood. For this reason, both design and monitoring techniques, based on highly empirical fouling factors, have substantially not changed over the past 40 years. To tackle this long standing problem in a systematic way, a large scale interdisciplinary research project, CROF (for CRude Oil Fouling) has been established. The project, coordinated in 8 subprojects, aims at providing a platform to investigate fundamental parameters leading to deposition, to provide a framework for predicting deposition and avoiding it by design and to formulate methods for mitigation. Within the CROF framework, a multi-scale, first principles model for a shell and tube heat exchanger was developed and validated against data from an ExxonMobil refinery. The model is dynamic, distributed and accounts for local variation of physical properties. Several scales of investigation are considered simultaneously. At the tube level, the interactions between operating conditions and fouling are captured by coupling

Conference paper

Galvanin F, Barolo M, Macchietto S, Bezzo Fet al., 2009, Optimal Design of Clinical Tests for the Identification of Physiological Models of Type 1 Diabetes Mellitus, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, Vol: 48, Pages: 1989-2002, ISSN: 0888-5885

Journal article

Galvanin F, Barolo M, Macchietto S, Bezzo Fet al., 2009, On the Optimal Design of Clinical Tests for the Identification of Physiological Models of Type 1 Diabetes Mellitus, 10th International Symposium on Process Systems Engineering, Publisher: ELSEVIER SCIENCE BV, Pages: 183-188, ISSN: 1570-7946

Conference paper

Coletti F, Macchietto S, 2009, Predicting Refinery Energy Losses Due to Fouling in Heat Exchangers, 10th International Symposium on Process Systems Engineering, Publisher: ELSEVIER SCIENCE BV, Pages: 219-224, ISSN: 1570-7946

Conference paper

Coletti F, Macchietto S, 2009, A heat exchanger model to increase energy efficiency in refinery pre heat trains, 19th European Symposium on Computer Aided Process Engineering, Publisher: ELSEVIER SCIENCE BV, Pages: 1245-1250, ISSN: 1570-7946

Conference paper

Coletti F, Macchietto S, 2008, Modeling of fouling in crude oil pre-heat trains to reduce energy losses and carbon emissions

A large amount of energy in oil refineries is used to heat the crude oil in furnaces, following a pre-heat train (PHT), a network of heat exchangers which maximise energy recovery from the hot products. The crude oil flowing in the exchangers deposits unwanted layers of material (fouling) which impede the energy recovery and can obstruct the flow of oil in the pipes. This results in severely decreased thermal and hydraulic efficiencies, large production losses (due to throughput reduction and need for periodic cleaning shut-downs). Energy recovery losses in the PHT must be compensated by substantial increase in fuel burned in the furnace, with large CO2 emission. Avoiding or minimising fouling is therefore important. Fouling deposition is not well understood, and current exchanger designs (based on empirical fouling factors) and mitigation solutions (ranging from use of chemical additives to mechanical cleaning devices) do not prevent efficiency losses. A US$ 5.4M project (CROF, for CRude Oil Fouling), involving a consortium of universities supported EPSRC and industry, is presently underway, aiming at producing a step change in understanding, data, predictive models and methods for the improved design and operation of PHT. In this paper, a detailed dynamic, distributed mathematical model for a single tubular heat exchanger with fouling is proposed. By including local effects of process variables (temperature and velocity) and deposition mechanisms, the model accounts for interactions between fouling layer and fluid flow and reproduces well overall experimental behaviour. Various retrofit options for individual heat exchangers are assessed and their energy and CO2 release impact established. For the future, it is envisaged to use the approach to simulate and optimise the design and operation of the overall energy recovery network, its cleaning schedules and energy efficiency strategies. Results so far indicate the return on such work can be substantial.

Conference paper

Franceschini G, Macchietto S, 2008, Novel Anticorrelation Criteria for Design of Experiments: Algorithm and Application, AICHE JOURNAL, Vol: 54, Pages: 3221-3238, ISSN: 0001-1541

Journal article

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.

Request URL: http://wlsprd.imperial.ac.uk:80/respub/WEB-INF/jsp/search-html.jsp Request URI: /respub/WEB-INF/jsp/search-html.jsp Query String: id=00003661&limit=30&person=true&page=3&respub-action=search.html