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Pedro M. Castro

Pedro M. Castro

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
5208
World Ranking
8113
National Ranking
49

Overview

Pedro M. Castro is affiliated with the University of Lisbon in Portugal and has published extensively in the field of Engineering. Their research primarily focuses on Control and Systems Engineering, complemented by work in Industrial and Manufacturing Engineering, Materials Chemistry, Numerical Analysis, and Plant Science.

Their main research topics include:

  • Process Optimization and Integration
  • Advanced Control Systems Optimization
  • Scheduling and Optimization Algorithms
  • Advanced Optimization Algorithms Research
  • Fault Detection and Control Systems
  • Ammonia Synthesis and Nitrogen Reduction
  • Hydrogen Storage and Materials

Pedro M. Castro has contributed numerous publications to several journals. Frequent publication venues include:

  • Computers & Chemical Engineering
  • Industrial & Engineering Chemistry Research
  • Systems and Control Transactions
  • Energy Conversion and Management
  • Cosmetics

Selected recent papers authored or co-authored by Pedro M. Castro include:

  • Industrial Demand Side Management of a Steel Plant Considering Alternative Power Modes and Electrode Replacement, 2020, Industrial & Engineering Chemistry Research
  • Comparison of mixed-integer relaxations with linear and logarithmic partitioning schemes for quadratically constrained problems, 2021, Optimization and Engineering

Other related papers from 2020-2021 linked to Castro's research network are:

  • Global optimization of large-scale MIQCQPs via cluster decomposition: Application to short-term planning of an integrated refinery-petrochemical complex, 2020, Computers & Chemical Engineering
  • Efficient formulation for transportation scheduling of single refinery multiproduct pipelines, 2020, European Journal of Operational Research
  • An effective decomposition algorithm for scheduling branched multiproduct pipelines, 2021, Computers & Chemical Engineering

The researcher frequently collaborates with:

  • A. Uribe-Rodríguez
  • Gonzalo Guillén-Gosálbez
  • Benoît Chachuat
  • Henrique A. Matos
  • Iiro Harjunkoski

Their body of work displays a consistent emphasis on optimization algorithms applied to industrial and chemical engineering processes. The mixture of mathematical optimization and practical engineering challenges is evident across the publications and collaborations.

Best Publications

  • Scope for industrial applications of production scheduling models and solution methods

    Iiro Harjunkoski;Christos T. Maravelias;Peter Bongers;Pedro M. Castro

  • Integrated sizing and scheduling of wind/PV/diesel/battery isolated systems

    André Malheiro;Pedro M. Castro;Ricardo M. Lima;Ana Estanqueiro

  • Tightening piecewise McCormick relaxations for bilinear problems

    Pedro M. Castro

  • Simple Continuous-Time Formulation for Short-Term Scheduling of Batch and Continuous Processes

    Pedro M. Castro;‡ Ana P. Barbosa-Póvoa;and Henrique A. Matos;Augusto Q. Novais

  • An Improved RTN Continuous-Time Formulation for the Short-term Scheduling of Multipurpose Batch Plants

    P. Castro;A. P. F. D. Barbosa-Povoa;H. Matos

  • Improvements for mass-exchange networks design

    P. Castro;H. Matos;M.C. Fernandes;C. Pedro Nunes

  • Resource–Task Network Formulations for Industrial Demand Side Management of a Steel Plant

    Pedro M. Castro;Lige Sun;Iiro Harjunkoski

  • Global optimization of bilinear programs with a multiparametric disaggregation technique

    Scott Kolodziej;Pedro M. Castro;Ignacio E. Grossmann

  • New continuous-time scheduling formulation for continuous plants under variable electricity cost

    Pedro M. Castro;Iiro Harjunkoski;Ignacio E. Grossmann

  • Dinkelbach's algorithm as an efficient method to solve a class of MINLP models for large-scale cyclic scheduling problems

    Fengqi You;Pedro M. Castro;Ignacio E. Grossmann

  • New Continuous-Time MILP Model for the Short-Term Scheduling of Multistage Batch Plants

    Pedro M. Castro;Ignacio E. Grossmann

  • Expanding scope and computational challenges in process scheduling

    Pedro M. Castro;Ignacio E. Grossmann;Qi Zhang

  • Generalized Disjunctive Programming as a Systematic Modeling Framework to Derive Scheduling Formulations

    Pedro M. Castro;Ignacio E. Grossmann

  • Optimal scheduling of continuous plants with energy constraints

    Pedro M. Castro;Iiro Harjunkoski;Ignacio E. Grossmann

  • Global Optimal Scheduling of Crude Oil Blending Operations with RTN Continuous-time and Multiparametric Disaggregation

    Pedro M. Castro;Pedro M. Castro;Ignacio E. Grossmann

  • Two New Continuous-Time Models for the Scheduling of Multistage Batch Plants with Sequence Dependent Changeovers

    Pedro M. Castro;and Ignacio E. Grossmann;Augusto Q. Novais

  • Optimal Periodic Scheduling of Batch Plants Using RTN-Based Discrete and Continuous-Time Formulations: A Case Study Approach

    Pedro M. Castro;‡ and Ana P. Barbosa-Póvoa;Henrique A. Matos

  • Optimal maintenance scheduling of a gas engine power plant using generalized disjunctive programming

    Pedro M. Castro;Ignacio E. Grossmann;Patrick Veldhuizen;Douglas Esplin

  • LP-based solution strategies for the optimal design of industrial water networks with multiple contaminants

    João Teles;Pedro M. Castro;Augusto Q. Novais

  • Normalized multiparametric disaggregation: an efficient relaxation for mixed-integer bilinear problems

    Pedro M. Castro

  • An efficient MILP model for the short-term scheduling of single stage batch plants

    Pedro M. Castro;Ignacio E. Grossmann

Frequent Co-Authors

Ignacio E. Grossmann
Ignacio E. Grossmann Carnegie Mellon University
Iiro Harjunkoski
Iiro Harjunkoski Aalto University
Ana Paula Barbosa-Póvoa
Ana Paula Barbosa-Póvoa Instituto Superior Técnico
Sebastian Engell
Sebastian Engell TU Dortmund University
José Fernando Oliveira
José Fernando Oliveira University of Porto
John N. Hooker
John N. Hooker Carnegie Mellon University
Ana Estanqueiro
Ana Estanqueiro National Laboratory of Energy and Geology
Fengqi You
Fengqi You Cornell University
Christos T. Maravelias
Christos T. Maravelias Princeton University
Louis-Martin Rousseau
Louis-Martin Rousseau Polytechnique Montréal

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