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Towards automated information retrieval of process data and knowledge from academic databases
(2021)
Conference lecture
Open AccessProcess modeling requires both data (chemical reaction yields, kinetic constants, cost estimates, environmental indicators, etc.) and knowledge (operation models and formulations, alternative processes and technologies, ... -
Targeting material exchanges in industrial symbiosis networks
(Elsevier, 2019)
Conference report
Open AccessIndustrial symbiosis plays an important role in the process industry, where an effective management of resources can bring both economic and environmental benefits. Traditionally, the design and extension of eco-industrial ... -
Optimal design and planning multi resource-based energy integration in process industries
(Elsevier, 2019)
Conference report
Open AccessRecently, process industries have experienced a significant pressure to shift from centralized energy supplying systems to the in-situ exploitation of renewable resources. Special attention has been paid to multi resource-based ... -
Synthesis and assessment of waste-to-resource routes for circular economy
(Elsevier, 2020)
Conference report
Open AccessThe benefits of the circular economy paradigm have been proven during the past two decades, but its application poses some challenges that still need to be tackled. This contribution presents a systematic way to generate ... -
Modeling framework for joint product and process synthesis with material recovery opportunities
(Elsevier, 2020)
Conference report
Restricted access - publisher's policyThe circular economy paradigm requires process synthesis to be expanded beyond the consideration of production activities aimed at market needs and to integrate valorization processes upcycling waste from different sources ... -
A MILP model for enhancing wastewater networks by introducing reclaimed wastewater usage
(2020)
Conference report
Open AccessWastewater treatment plants (WWTPs) are an example of available but underutilized waste-to-resource processes. Economic benefit opportunities can be generated through the design and operation of WWTPs following a circular ... -
Improving photo-Fenton process by hydrogen peroxide dosage strategies. Dissolved oxygen performance indicator
(2020)
Conference report
Open AccessFenton and photo-Fenton are Advanced Oxidation processes driven by the supply of hydrogen peroxide (H2O2). However, excessive hydrogen peroxide supply results in unproductive reactions and causes the process performance ... -
Optimal Design and planning supply chains of multi renewable resource-based energy/material applied in process industries
(2020)
Conference report
Open AccessIn this work, the effects of multi renewable resource-based energy integration in material supply chains are analysed under stochastic and deterministic conditions. The proposed approach is based on the development of a ... -
Systematic generation and evaluation of waste-to-resource alternatives
(2020)
Conference report
Open AccessCircular economy appears to be the only suitable approach for closing the materials loop and so to make sustainable current development levels. In this work, a procedure to systematically generate a list of ... -
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 ...
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