Showing papers in "Computers & Chemical Engineering in 2015"

TL;DR: In this article, the authors provide an overview of opportunity areas, a description of relevant technical challenges, and a perspective on how these challenges might be addressed in supply chain design, and illustrative examples are presented to illuminate avenues for future research.

TL;DR: A hierarchical and multi-scale framework to design CCUS and CCU supply chain networks with minimum investment, operating and material costs and it is shown that more than 3% of the total stationary CO 2 emissions in the United States can be eliminated through CCU networks at zero net cost.

TL;DR: This paper reviews the applications of recent observers to chemical process systems and classify them into six classes, which differentiate them with respect to their features and assists in the design of observers.

TL;DR: Results for a set of water network design problems show that the new algorithm can lead to orders of magnitude reduction in the optimality gap compared to commercial solvers.

TL;DR: This study presents a framework for efficient large scale flowsheet optimization that couples advanced process optimization formulations with state-of-the-art algorithms, and includes several notable features such as an optimization-friendly formulation of cubic equation of state thermodynamic models.

TL;DR: A bi-objective mixed integer linear programming (BOMILP) model is developed for a pharmaceutical supply chain network design (PSCND) problem to concurrently minimize the total costs and unfulfilled demands as the first and second objective functions.

TL;DR: The industrial challenges arising from the deregulation of the electricity markets and stronger presence of unpredictable renewable energy sources are discussed.

TL;DR: An MILP formulation to extend a continuous-time model with energy-awareness to optimize the daily production schedules and the electricity purchase including the load commitment problem and a bi-level heuristic algorithm is proposed to tackle instances of industrial size.

TL;DR: An asymptotic analysis is used to demonstrate that intensification represents a limit case of tight integration through significant material recycling, and proposes a novel avenue for discovering intensification opportunities at the process design stage.

TL;DR: The introduction and development of different classes of property prediction methods in the overall product design process is discussed, and recent developments and opportunities in the design of ionic liquids using molecular design techniques have been discussed.

TL;DR: This work solves the integrated process and fluid design problem using the continuous-molecular targeting computer-aided molecular design (CoMT–CAMD) framework and results are applied to the design of working fluids for Organic Rankine cycles and solvents for CO2 capture.

TL;DR: The result demonstrates that PSD with heat integration is more economical than conventional PSD without heat integration, and several control structures were explored using Aspen Dynamics.

TL;DR: A systematic and comprehensive review of papers published over the last two decades of synthesis of non-isothermal water networks using systematic methods based on pinch analysis, mathematical programming, and their combination is presented.

TL;DR: A unified design framework for data-driven optimality-based generalized iterative learning control (DDOGILC), including data- driven optimal ILC (DDOILC),Data-driven optimal point-to-point I LC (DDOPTPilC), and data- Driven optimal terminal ILC(DDTILC) is proposed.

TL;DR: This contribution provides a tutorial review on methods for identifiability analysis, regularization techniques and optimal experimental design, and a guideline for the analysis and classification of nonlinear ill-posed problems to detect practical identifiable problems.

TL;DR: The time scale-bridging model (SBM) is introduced as an explicit, low-order representation of the closed-loop input–output dynamics of the process, which represents the process dynamics in a scheduling framework geared towards calculating the optimal time-varying setpoint vector for the process control system.

TL;DR: A model of a super-critical coal-fired power plant integrated with an amine-based CO 2 capture process is presented to solve a multi-period dynamic optimisation problem aimed at decoupling the operation of the power plant from the efficiency penalty imposed by theCO 2 capture plant, thus providing the power station sufficient flexibility to exploit price variation within an electricity market.

TL;DR: This paper addresses one of the main challenges of solving a large scale MILP model: tractability and uses an efficient representation of time that exploits periodicity in system properties via a non-uniform hierarchical time discretisation.

TL;DR: A combined canonical variate analysis (CVA) and Fisher discriminant analysis (FDA) scheme for fault diagnosis, which employs CVA for pretreating the data and subsequently utilizes FDA for fault classification, demonstrating that CVA–FDA outperforms dynamic FDA in both discriminatory power and computational time.

TL;DR: In this paper, a hybrid method is developed, which iterates between a mixed-integer linear programming solver for the planning problem and an agent-based reactive scheduling method, which returns an optimality gap for validating the solution quality.

TL;DR: This work expands the inclusion of regression constraints beyond intra-parameter relationships to relationships between combinations of predictors and response variables, and proposes a semi-infinite programming approach for the incorporation of these novel constraints.

TL;DR: A computer-aided, multi-level,Multi-scale framework for synthesis, design and intensification of processes, for identifying more sustainable alternatives is presented.

TL;DR: A systematic review of integrated control and operations can be found in this article, where the authors give an in-depth review of these integrated methods in terms of the integration scopes, model formulations, solution algorithms, and implementation strategies to address uncertainty.

TL;DR: The development and application of a process-group contribution method to model, simulate and synthesize chemical processes to generate all the feasible flowsheet alternatives and flowsheet property models like energy consumption, atom efficiency, environmental impact to evaluate the performance of the generated alternatives.

TL;DR: This article provides an overview of product design while focusing on product conceptualization and results are product specifications in terms of the type of ingredients, composition, and the structure, form, shape or configuration of the product.

TL;DR: Results from the approach are highlighted as it has configured the operation and the evolution of existing pilots and demos, and the methodology is being extended to address strategic decisions and the better integration of the biorefinery concept.

TL;DR: This paper introduces a novel MINLP continuous-time formulation for the detailed scheduling of single-source pipelines, rigorously tracking power consumption at every pipeline segment through nonlinear equations.

TL;DR: The flow evolves directly from the vortical regime to an unsteady symmetric behavior, with a vorticity dynamics that is significantly different from those observed for the other aspect ratios.

TL;DR: A linear transformation is proposed that allows viewing a complex nonlinear chemical reaction system via decoupled dynamic variables, each one associated with a particular phenomenon such as a single chemical reaction, a specific mass transfer or heat transfer.

TL;DR: A novel computer-aided molecular design methodology for the design of optimal solvents based on an efficient ant colony optimization (EACO) algorithm based on the better uniformity property of Hammersley sequence sampling (HSS).