J
José A. Caballero
Researcher at University of Alicante
Publications - 195
Citations - 5585
José A. Caballero is an academic researcher from University of Alicante. The author has contributed to research in topics: Distillation & Optimization problem. The author has an hindex of 42, co-authored 193 publications receiving 4872 citations. Previous affiliations of José A. Caballero include Federal University of Rio de Janeiro & Carnegie Mellon University.
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Pyrolysis kinetics of almond shells and olive stones considering their organic fractions
TL;DR: In this paper, the thermal decomposition of two lignocellulosic materials (olive stones and almond shells) were studied using dynamic TG at heating rates between 2 and 25 K min−1 at atmospheric pressure.
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An algorithm for the use of surrogate models in modular flowsheet optimization
TL;DR: In this work a methodology is presented for the rigorous optimization of nonlinear programming problems in which the objective function and (or) some constraints are represented by noisy implicit black box functions.
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Comments on the validity and utility of the different methods for kinetic analysis of thermogravimetric data
TL;DR: This work consists of a review of kinetic models used for material decomposition, and also of the methods used for the analysis, and of the different models available for kinetic studies in thermobalance.
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Characterization of sewage sludges by primary and secondary pyrolysis
TL;DR: In this paper, an apparatus formed by the combination of a primary pyrolyzer and a secondary reactor was used to study the thermal decomposition of three different chemical sewage sludges, using temperatures in the secondary reactor between 290 and 650°C and 700°C in the primary pyrolzer.
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Design of distillation sequences: from conventional to fully thermally coupled distillation systems
TL;DR: A novel superstructure optimization approach for the design of distillation sequences of zeotropic mixtures using the Underwood–Fenske–Gilliland approximation and is formulated as a generalized disjunctive programming problem, which has proven to be very robust and reliable.