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Giacomo Astolfi - IEEE Xplore Author Profile
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Giacomo Astolfi

Also published under: G. Astolfi

Publications
14
Citations
66
Publications by Year
20102022
Co-Authors:
Show All Co-Authors (10)
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Giacomo Astolfi

Also published under: G. Astolfi

Affiliation

Alperia Green Future, Ancona, Italy

Publication Topics

Biography

Giacomo Astolfi received the B.Sc. and M.Sc. degrees in automation engineering and the Ph.D. degree in engineering science, “Computer, management and automation engineering” curriculum from the Università Politecnica delle Marche, Ancona, Italy, in 2006, 2009, and 2012, respectively.,He is currently the Head of Innovation IoT & New Business with Alperia Green Future, Soave, Italy.(Based on document published on 21 November 2022).
Publications
14
Citations
66
Publications by Year
20102022
Co-Authors:
Show All Co-Authors (10)
Author's Published Works

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Applications of Advanced Process Control Techniques to an Italian Water Distribution Network

Silvia Maria Zanoli;Crescenzo Pepe;Giacomo Astolfi;Lorenzo Orlietti

IEEE Transactions on Control of Network Systems
Year: 2022 | Volume: 9, Issue: 4 | Journal Article |
Cited by: Papers (5)
In this article, an application of advanced process control techniques to an Italian water distribution network is presented. Several in-depth hydraulic studies had previously been conducted in order to perform hardware modifications through sectorization procedures. In order to further improve performance, both pressure management of the water distribution system and optimization of pump scheduli...Show More

Applications of Advanced Process Control Techniques to an Italian Water Distribution Network

Silvia Maria Zanoli;Crescenzo Pepe;Giacomo Astolfi;Lorenzo Orlietti

Year: 2022 | Volume: 9, Issue: 4 | Journal Article |

Advanced Process Control of a cement plant grate cooler

Silvia Maria Zanoli;Crescenzo Pepe;Giacomo Astolfi

2022 26th International Conference on System Theory, Control and Computing (ICSTCC)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
The present work describes an Advanced Process Control solution applied to a cement plant grate cooler. The grate cooler is located downstream of a clinker rotary kiln with the purpose of suitably cooling the clinker. Clinker is cooled through the action of multiple cold air fan units as it is transported by the clinker rotary kiln. A Model Predictive Control strategy was designed in order to mini...Show More

Advanced Process Control of a cement plant grate cooler

Silvia Maria Zanoli;Crescenzo Pepe;Giacomo Astolfi

Year: 2022 | Conference Paper |

Model Predictive Control aimed at satisfying the production plan of a hydroelectric plant

Silvia Maria Zanoli;Crescenzo Pepe;Giacomo Astolfi;Italo Cervigni

2022 IEEE 17th International Conference on Control & Automation (ICCA)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
The present work describes a Model Predictive Control application aimed at satisfying the production plan of a hydroelectric plant. The considered process is characterized by two reservoirs (connected through a regulation gate) and a set of turbines for energy production. The predictive control approach has been motivated by the availability of forecasts on water requests by the hydroelectric plan...Show More

Model Predictive Control aimed at satisfying the production plan of a hydroelectric plant

Silvia Maria Zanoli;Crescenzo Pepe;Giacomo Astolfi;Italo Cervigni

Year: 2022 | Conference Paper |

Analysis and Modeling of Steel Industry Reheating Furnace Billets Temperature

Silvia Maria Zanoli;Crescenzo Pepe;Giacomo Astolfi;Elena Moscoloni

2022 23rd International Carpathian Control Conference (ICCC)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
In the present work, topics related to the production processes of the steel industry are addressed; the analysis has been focused on the rolling mill process of semi-finished products of an Italian steel plant, which follows the reheating process of the billets, carried out inside a reheating furnace. For this purpose, an in-depth knowledge of the industrial process and a preventive data analysis...Show More

Analysis and Modeling of Steel Industry Reheating Furnace Billets Temperature

Silvia Maria Zanoli;Crescenzo Pepe;Giacomo Astolfi;Elena Moscoloni

Year: 2022 | Conference Paper |

Model Predictive Control for Hydroelectric Power Plant Reservoirs

Silvia Maria Zanoli;Crescenzo Pepe;Giacomo Astolfi;Francesco Luzi

2022 23rd International Carpathian Control Conference (ICCC)
Year: 2022 | Conference Paper |
Cited by: Papers (3)
The present work describes a project aimed to the optimization of the water management within the reservoirs of a hydroelectric plant located in Italy. The considered reservoirs feed a set of turbines for energy production. The nature of the process and the availability of forecasts on water requests by the hydroelectric plant motivated the choice of a Model Predictive Control strategy. A first pr...Show More

Model Predictive Control for Hydroelectric Power Plant Reservoirs

Silvia Maria Zanoli;Crescenzo Pepe;Giacomo Astolfi;Francesco Luzi

Year: 2022 | Conference Paper |

Optimization of a pusher type reheating furnace: An adaptive Model Predictive Control approach

G. Astolfi;L. Barboni;F. Cocchioni;C. Pepe;S. M. Zanoli

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)
Year: 2017 | Conference Paper |
Cited by: Papers (13)
In this paper, an Advanced Process Control system based on a two-layer linear Model Predictive Control strategy is proposed. The control system aims at optimizing a pusher type billets reheating furnace, located in an Italian steel plant. A first principles nonlinear model has been developed, in order to obtain estimations of billets temperature inside the furnace. A Linear Parameter-Varying model...Show More

Optimization of a pusher type reheating furnace: An adaptive Model Predictive Control approach

G. Astolfi;L. Barboni;F. Cocchioni;C. Pepe;S. M. Zanoli

Year: 2017 | Conference Paper |

Application of Advanced Process Control techniques for a cement rotary kiln

S.M. Zanoli;C. Pepe;M. Rocchi;G. Astolfi

2015 19th International Conference on System Theory, Control and Computing (ICSTCC)
Year: 2015 | Conference Paper |
Cited by: Papers (14)
In this work, the control optimization of a rotary kiln located in a cement plant is described. The need to enhance the efficiency level, to increase the profitability as well as the commitment to meet precise production standards has motivated the adoption of Model Predictive Control techniques. The adopted system architecture is composed of two different optimization layers. A suitable interacti...Show More

Application of Advanced Process Control techniques for a cement rotary kiln

S.M. Zanoli;C. Pepe;M. Rocchi;G. Astolfi

Year: 2015 | Conference Paper |

Advanced control solutions to increase efficiency of a furnace combustion process

S. M. Zanoli;D. Barchiesi;G. Astolfi;L. Barboni

2013 European Control Conference (ECC)
Year: 2013 | Conference Paper |
In the present work the problem of the furnaces combustion optimization in petrochemical environment is presented. In particular, the paper is focused on the combustion efficiency that directly affects the operating costs of the plant. A preliminary study of the combustion process has been performed. A model of the system has been obtained by a black-box approach and limitations of the existing co...Show More

Advanced control solutions to increase efficiency of a furnace combustion process

S. M. Zanoli;D. Barchiesi;G. Astolfi;L. Barboni

Year: 2013 | Conference Paper |

Application of first-principles based techniques for compounds prediction in a gasification plant

Silvia M. Zanoli;Giacomo Astolfi

2013 European Control Conference (ECC)
Year: 2013 | Conference Paper |
In this work a first-principles based model for the prediction of the Syngas composition produced in a gasification plant is described. The model design is based on chemical-physical principles of the gasification process and is based on nonlinear static equations. For the formulation of the equations, Gibbs energy minimization of the compound used in the gasification process is taken into account...Show More

Application of first-principles based techniques for compounds prediction in a gasification plant

Silvia M. Zanoli;Giacomo Astolfi

Year: 2013 | Conference Paper |

Clustering data procedure for the prediction of the recovered volume of the light gasoil of a visbreaking column

Silvia M. Zanoli;Lorenzo Orlietti;Giacomo Astolfi

2012 20th Mediterranean Conference on Control & Automation (MED)
Year: 2012 | Conference Paper |
In this work the model identification of a visbreaking column for the estimation of the recovered volume at 360°C of Gasoil is considered and a filtering procedure for the selection of the identification data set is presented. A high valuable product for the visbreaking process is the light gasoil; its purity can be measured by the recovered volume at 360°C and, for control purposes, an on-line es...Show More

Clustering data procedure for the prediction of the recovered volume of the light gasoil of a visbreaking column

Silvia M. Zanoli;Lorenzo Orlietti;Giacomo Astolfi

Year: 2012 | Conference Paper |

Application of a mahalanobis-based pattern recognition technique for fault diagnosis on a chemical process

Silvia M. Zanoli;Giacomo Astolfi

2012 20th Mediterranean Conference on Control & Automation (MED)
Year: 2012 | Conference Paper |
Cited by: Papers (1)
The paper proposes a Fault Detection and Isolation (FDI) procedure based on a model-free approach and the use of pattern recognition techniques. In particular this paper aims to improve the isolation performance of a Fuzzy Faults Classifier (FFC) previously proposed by the author by modifications of the fuzzification module and by the use of the Mahalanobis distance as metric for identifying the m...Show More

Application of a mahalanobis-based pattern recognition technique for fault diagnosis on a chemical process

Silvia M. Zanoli;Giacomo Astolfi

Year: 2012 | Conference Paper |

Prediction of the Syngas composition of a gasification process

S. M. Zanoli;G. Astolfi;L. Barboni

2012 5th International Symposium on Communications, Control and Signal Processing
Year: 2012 | Conference Paper |
The scope of this work is the development of a mathematical model of a gasification process to be used for the prediction of the Syngas composition. The predictions are intended to support the gascromathographic measurements of the Syngas composition which are often not available due to periodic calibrations. This work represents the first step of broader project which scope is the development of ...Show More

Prediction of the Syngas composition of a gasification process

S. M. Zanoli;G. Astolfi;L. Barboni

Year: 2012 | Conference Paper |

FDI of process faults based on PCA and cluster analysis

S. M. Zanoli;G. Astolfi;L. Barboni

2010 Conference on Control and Fault-Tolerant Systems (SysTol)
Year: 2010 | Conference Paper |
Cited by: Papers (9)
A new approach to fault detection and isolation that combines Principal Component Analysis (PCA), Clustering and Pattern Recognition is presented. Single, multiple faults which may cause errors in the sensor readings and/or in the actuators as well as process faults are considered. Determination of the number of principal components is based on the statistical test ANOVA following the approach pro...Show More

FDI of process faults based on PCA and cluster analysis

S. M. Zanoli;G. Astolfi;L. Barboni

Year: 2010 | Conference Paper |

Applications of Fault Diagnosis techniques for a multishaft centrifugal compressor

S. M. Zanoli;G. Astolfi;L. Barboni

18th Mediterranean Conference on Control and Automation, MED'10
Year: 2010 | Conference Paper |
Cited by: Papers (12)
In the present paper the design and implementation of a Fault Diagnosis system for a compression's process integrated in an IGCC (Integrated Gasification & Combined Cycle) section of a refinement plant is described. Both single and multiple faults have been considered which may cause errors in the sensor readings and/or in the actuators used in the process. A multivariable data-driven approach, th...Show More

Applications of Fault Diagnosis techniques for a multishaft centrifugal compressor

S. M. Zanoli;G. Astolfi;L. Barboni

Year: 2010 | Conference Paper |

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