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Recent Submissions
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Modeling and simulation of complex nonlinear dynamic processes using data based models: application to photo-Fenton process
(Elsevier, 2015)
Conference report
Restricted access - publisher's policyThis paper investigates data based modelling of complex nonlinear processes, for which a first principle model useful for process monitoring and control is not available. These empirical models may be used as soft sensors ... -
Modelling decision support systems using conceptual constraints: linking process systems engineering and decision making models
(2017)
Conference report
Open AccessThis paper presents the use of a Conceptual Constraint (CC) Domain to systematize the construction of Decision Making Models (DMMs). The modelling systematics include the integration between the CC Domain and production ... -
Multiparametric metamodels for model predictive control of chemical processes
(Elsevier, 2016)
Conference report
Restricted access - publisher's policyThis work proposes a Data-Based MultiParametric-Model Predictive Control (DBMPMPC) methodology, which enables simple implementations of explicit MPC in situations when the deep mathematical knowledge required to develop ... -
An optimization model for the long-term planning of energy distribution networks
(2016)
Conference lecture
Open AccessAlthough design is a problem that has been addressed in the literature, maintaining, upgrading and expanding energy distribution networks along the entire life-cycle is a topic that has received scarce attention. The problem ... -
Incremental learning fault detection algorithm based on hyperplane-distance
(Elsevier, 2016)
Conference report
Restricted access - publisher's policyTraditional methods for Fault Detection and Diagnosis (FDD) usually, consider that processes operate under a single steady condition, but because of several reasons (e.g.: equipment aging), operation conditions of ... -
Kriging based fault detection and diagnosis approach for nonlinear noisy dynamic processes
(Elsevier, 2016)
Conference report
Restricted access - publisher's policyThis paper presents a hybrid approach to enhance the performance of the data-based Pattern Classification Techniques (PCTs) used for Fault Detection and Diagnosis (FDD) of nonlinear dynamic noisy processes. The method ... -
Optimal features selection for designing a fault diagnosis system
(Elsevier, 2016)
Conference report
Restricted access - publisher's policyFault diagnosis (FD) using data-driven methods is essential for monitoring complex process systems, but its performance is severely affected by the quality of the used information. Additionally, processing huge amounts of ... -
Systematic approach for the design of sustainable supply chains under quality uncertainty
(2016)
Conference report
Restricted access - publisher's policySustainable process ing ha s attracted recently an increasing interest in the process systems engineering literature. From a practical perspective , addressing sustainability inevitably require s a Multi - Objective analysis ... -
A general MILP model for the sizing of islanded/grid-connected microgrids
(2016)
Conference lecture
Restricted access - publisher's policyRecently, energy systems have experienced a change of paradigm, from a large-scale centr alized approach to the in-situ exploitation of renewabl e sources. Special atte ntion has been paid to microgrids, a particular case ... -
On the process of building a process systems engineering ontology using a semi-automatic construction approach
(Elsevier, 2015)
Conference lecture
Open AccessThis work presents a novel systematic approach for the construction of domain ontolog ies . The s ugge sted approach uses a semi - automatic construction methodology . F or this study , parent - child concept pairs are ... -
Negotiations provider-client for supply chains coordination under competitiveness
(2015)
Conference lecture
Open AccessCurrent tactical models of Supply Chain s (SC ) associate the conflicts among independent SCs with the uncertain behavio u r of external echelons (third parties). Although the trend now arises to solve these conflicts using ... -
A meta-multiparametric framework: Application to the operation of bio-based energy supply chains
(Elsevier, 2015)
Conference report
Open AccessThis paper proposes a framework for the analysis of complex optimization problems under uncertainty. The usual multiparametric programing approach is skipped through the use of metamodels to mimic a set of already solved ...