A5056017028- Process Optimization and Integration
- Advanced Control Systems Optimization
- Scheduling and Optimization Algorithms
- Advanced Optimization Algorithms Research
- Reservoir Engineering and Simulation Methods
- Microbial Metabolic Engineering and Bioproduction
- Advanced Multi-Objective Optimization Algorithms
- Optimization and Mathematical Programming
- Supply Chain and Inventory Management
- Fault Detection and Control Systems
- Risk and Portfolio Optimization
- Biofuel production and bioconversion
- Sustainable Supply Chain Management
- Capital Investment and Risk Analysis
- Biodiesel Production and Applications
- Extraction and Separation Processes
- Chemistry and Chemical Engineering
- Electric Power System Optimization
- Crystallization and Solubility Studies
- Global Energy and Sustainability Research
- Manufacturing Process and Optimization
- Smart Grid Energy Management
- Catalysis for Biomass Conversion
- Atmospheric and Environmental Gas Dynamics
- Integrated Energy Systems Optimization
Carnegie Mellon University
2016-2025
Universidad de Salamanca
2016-2022
The University of Texas at Austin
2021
Massachusetts Institute of Technology
2021
National University of Singapore
2021
University of Pittsburgh
2017-2018
TU Dortmund University
2014
American Institute of Chemical Engineers
2014
Technological Institute of Celaya
2010
Instituto Tecnológico de Aguascalientes
2010
Abstract One of the key components chemical plant operability is flexibility—the ability to operate over a range conditions while satisfying performance specifications. A general framework for analyzing flexibility in process design presented this paper. quantitative index proposed which measures size parameter space feasible steady‐state operation can be attained by proper adjustment control variables. The mathematical formulation and detailed study its properties are presented. Application...
Abstract Enterprise‐wide optimization (EWO) is a new emerging area that lies at the interface of chemical engineering and operations research, has become major goal in process industries due to increasing pressures for remaining competitive global marketplace. EWO involves optimizing supply, manufacturing distribution activities company reduce costs inventories. A focus optimal operation facilities, which often requires use nonlinear models. Major operational items include planning,...
Abstract This paper addresses the problem of automatically generating heat exchanger network configurations that feature minimum investment cost subject to utility and fewest number units. Based on linear programming mixed‐integer (MILP) transshipment models for integration, a superstructure has embedded many alternative is proposed. superstructure, which as units matches predicted by MILP model, includes options series parallel matching, well stream splitting, mixing, bypassing. Many...
Abstract A rigorous mathematical formulation is presented for the problem of optimal design under uncertainty. This involves a nonlinear infinite programming in which an optimization performed on set and control variables, such that inequality constraints chemical plant are satisfied every parameter value belongs to specified polyhedral region. To circumvent dimensionality constraints, equivalence feasibility condition established leads max‐min‐max constraint. It shown if inequalities...
Abstract A procedure is proposed for simultaneously handling the problem of optimal heat integration while performing optimization process flow sheets. The method based on including a set constraints into nonlinear so as to insure that minimum utility target recovery networks featured. These constraints, which do not require temperature intervals their definition, are representation locating pinch points can vary according every stream conditions (flow rates and temperatures) selected in...
The goal of this paper is to develop models and methods that use complementary strengths Mixed Integer Linear Programming (MILP) Constraint (CP) techniques solve problems are otherwise intractable if solved using either the two methods. class considered in have characteristic only a subset binary variables non-zero objective function coefficients modeled as an MILP. This formulated hybrid MILP/CP model involves some MILP constraints, reduced set CP equivalence relations between variables. An...
Abstract This article addresses the design of sustainable chemical supply chains in presence uncertainty life cycle inventory associated with network operation. The task is mathematically formulated as a bi‐criterion stochastic mixed‐integer nonlinear program (MINLP) that simultaneously accounts for maximization net present value and minimization environmental impact given probability level. performance measured through Eco‐indicator 99, which incorporates recent advances made Life Cycle...