CO2 Capture by Reactive Absorption-Stripping: Modeling, Analysis and Design

Author:   Claudio Madeddu ,  Massimiliano Errico ,  Roberto Baratti
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
ISBN:  

9783030045784


Pages:   90
Publication Date:   28 January 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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CO2 Capture by Reactive Absorption-Stripping: Modeling, Analysis and Design


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Author:   Claudio Madeddu ,  Massimiliano Errico ,  Roberto Baratti
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Weight:   0.454kg
ISBN:  

9783030045784


ISBN 10:   3030045781
Pages:   90
Publication Date:   28 January 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Claudio Madeddu, PhD in Industrial Engineering, works in the field of reactive absorption-stripping system modelling, with a particular focus on CO2 post-combustion capture. During his PhD he developed skills in process modelling in the Aspen Plus environment and for absorption-stripping plant configurations. Massimiliano Errico, Associate Professor at the Department of Chemical, Biotechnology and Environmental Engineering of Southern Denmark University, has considerable expertise in the process synthesis of separation processes. He has helped to define systematic methodologies to predict, in a complete way, process alternatives for multicomponent separations. He has also applied his methodologies to the separation of biofuels where azeotropic mixtures play an important role. Roberto Baratti, Full Professor at the Mechanical, Chemical and Material Engineering Department of the University of Cagliari, has acquired expertise spanning various fields of Chemical Engineering: unit operations, chemical reaction engineering, transport phenomena, optimization, and stochastic and process control. His work in the field of process control is mainly devoted to the development of software sensors, either structured (EKF and GO) or not structured (Artificial Neural Networks); to model reduction for control purposes and monitoring; and to the control of distillation columns, crystallization and chemical reactors. In turn, his work in the field of process modelling is mainly devoted to developing chemical, biochemical reactor, crystallization, distillation/adsorption column models, and stochastic modelling.

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