Alessandro Di Pretoro

Associate Professor

Institut National Polytechnique de Toulouse

France

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Alessandro Di Pretoro is an Associate Professor at the Institut National Polytechnique de Toulouse, France. His research focuses on optimization in chemical engineering, particularly in areas such as modular manufacturing, neural networks for unit operations modeling, and exergoeconomic analysis for cogeneration systems. He has contributed to the understanding of process flexibility and environmental impacts in various industrial contexts, including biogas conversions and eco-industrial park design.

Articles (17)

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2025

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2024

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2024

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2022

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (3)

Ludovic Montastruc

Université de Toulouse

FRANCE

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Julia Riese

GERMANY

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Flavio Manenti

Professor of Chemical Plants

Politecnico di Milano

ITALY

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Alessandro Di Pretoro

Research Interests

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Articles (17)

Switching from centralized manufacturing to modular distributed units: A SAA based methodology for economic and environmental comparative studies under uncertainty

Incorporating Physical Constraints inside Neural Networks to Improve their Accuracy and Physical Reliability for Chemical Engineering Unit Operations Modeling

Using Reduced Kinetic Model for the Multi-Objective Optimization of Thermal Section of the Claus Process Leading to a More Cost-Effective and Environmentally Friendly Operation

Exploiting exergy and exergoeconomic analysis as decisional tool for cogeneration plant optimal operating mode: A sugar factory case study

Plantwide flexibility analysis of a biogas to methanol process: Assessing the implications of uncertainties on process duties and emissions

Combining Exergy and Pinch Analysis for the Operating Mode Optimization of a Steam Turbine Cogeneration Plant in Wonji-Shoa, Ethiopia

Exploiting Domain Partition in Response Function-Based Dynamic Surrogate Modeling: A Continuous Crystallizer Study

Robustness in optimal design of Eco-Industrial Parks under the lens of two-stage stochastic optimization

Benefits of feasibility constrained sampling on unit operations surrogate model accuracy

Uncertain Operating Conditions Implications on Multistage Operations Optimal Design and Environmental Impact

Demand response scheduling using derivative-based dynamic surrogate models

The traveling deliveryman problem under uncertainty: Fundamentals for flexible supply chains

Indirect Demand Response Potential of Large-Scale Chemical Processes

A roadmap for in silico development and evaluation of industrial NMPC applications: A practical case study

Optimal Cleaning Cycle Scheduling under Uncertain Conditions: A Flexibility Analysis on Heat Exchanger Fouling

Exploiting Residue Curve Maps to Assess Thermodynamic Feasibility Boundaries under Uncertain Operating Conditions

Analogies between SARS-CoV-2 infection dynamics and batch chemical reactor behavior

Collaborators (3)

Ludovic Montastruc

Julia Riese

Flavio Manenti

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