Modeling And Analysis For Optimal Scheduling Of Biodiesel Batch Plants
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Modeling and Analysis for Optimal Scheduling of Biodiesel Batch-Plants
Author: Mohamad Fauzan Amir
language: en
Publisher: Logos Verlag Berlin GmbH
Release Date: 2011
Generally, scheduling problems accompanying typical batch processes are vitally important to be solved for improving the plant productivity. In these respects, finding a good and feasible schedule or even an optimal result, by which costs and lead times can be reduced, is often a very complex and also a difficult task. Moreover, in large plants, the challenges come not only from the modeling ways that require systematic and structured approaches, but also from the exact strategies how the performance of the model can be analyzed. The goal of this research is to develop a comprehensive study on industrial-sized plants, with regard modeling and analysis of scheduling problems. Formalization of the required plant specifications, the modularly modeling ways which refer to the widely used batch standards, and also the strategies for tackling complexity, are the main contributions of this thesis. These studies will be carried out by using the Timed Net Condition/Event Systems (TNCES) model. Finally, the model is analyzed to synthesize an optimal control strategy for the investigated plants.
Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
This book is based on the authors’ research on the stabilization and fault-tolerant control of batch processes, which are flourishing topics in the field of control system engineering. It introduces iterative learning control for linear/nonlinear single/multi-phase batch processes; iterative learning optimal guaranteed cost control; delay-dependent iterative learning control; and iterative learning fault-tolerant control for linear/nonlinear single/multi-phase batch processes. Providing important insights and useful methods and practical algorithms that can potentially be applied in batch process control and optimization, it is a valuable resource for researchers, scientists, and engineers in the field of process system engineering and control engineering.
Strategic Planning for the Sustainable Production of Biofuels
Strategic Planning for the Sustainable Production of Biofuels presents several optimization models for the design and planning of sustainable biorefinery supply chains, including issues surrounding the potential of biomass feedstocks in multiple harvesting sites, availability and seasonality of biomass resources, different potential geographical locations for processing plants that produce multiple products using diverse production technologies, economies of scale for production technologies, demands and prices of multiple products, locations of storage facilities, and a number of transportation modes. Sustainability considerations are incorporated into the proposed models by including simultaneous economic, environmental and social performance in the evaluation of the supply chain designs. - Covers different optimization models for the strategic planning of biorefining systems - Includes the GAMS and MATLAB codes for solving various problems - Considers sustainability criteria in the presented models - Presents different approaches for obtained trade-off solutions - Provides general software that can be used for solving different problems