Building Cogeneration Planning Scheduling Systems using IBM ILOG ODME, CPLEX ...Alkis Vazacopoulos
This document discusses using IBM's ODME and iMPress software for building cogeneration planning and scheduling applications. It provides an overview of ODME, iMPress, and how they can be implemented together. Key benefits include fitting business models/processes, sophisticated optimization, quick adaptation, and scenario analysis. A proof-of-concept is proposed to select a plant type, integrate data sources, solve models, and tune models for accuracy and tractability.
Solve Production Allocation and Reconciliation Problems using the same NetworkAlkis Vazacopoulos
Production allocation is a business accounting practice used throughout the processing world to proportionately and quantitatively assign measurement error and production expenditures or overheads to internal and external business owners. Reconciliation is a scientific function to vet production data of gross errors or non-random variation if it occurs and to find more precise estimates of the measured values. The consequence of our proposed technique is to allow these two functions the capability to use the same production network or flow-path. Only one model is required to be maintained eliminating the possibility that potentially costly mis-allocation will occur due to business and engineering model-mismatch. Mis-allocation due to measurement errors can still be problematic as we illustrate in an example, but should be reduced over time because of the reconciliation measurement diagnostics.
Stock Decomposition Heuristic for Scheduling: A Priority Dispatch Rule ApproachAlkis Vazacopoulos
Highlighted in this article is a closed-shop scheduling heuristic which makes use of the traditional priority dispatch rule approach found in open-shop scheduling such as job-shop scheduling. Instead of prioritizing and scheduling one job or project (or stock-order) at a time, we schedule one stock or stock-group at a time where a stock-group is a collection of individual stocks and their one or more stock-orders. These stocks can be feed-stocks, intermediate-stocks or product-stocks of which we focus on product-stocks given that most production is demand-driven. A key feature of this heuristic is our ability to compress the production network or superstructure so that only those unit-operations necessary to produce the stocks in question are included in the model thus reducing the size of the problem considerably at each iteration of the heuristic. The stock-specific network compression technique uses what we call a unit-capacity transshipment linear program to successively determine which unit-operations are redundant when making a particular stock. This heuristic is also particularly useful for those process industries that can potentially produce many product-stocks but only a fraction of these are produced within the scheduling horizon whereby the model is significantly reduced at solve time to include only those stocks that are demanded whereby redundant unit-operations are removed. An illustrative example is provided with recycle loops (i.e., stock flow-reversals) and shared units or equipment (i.e., unit flow-reversals) that demonstrates the effectiveness and efficiency of the technique.
A Nonlinear Integrated Model for Operational Planning of Multi-Site RefineriesAlkis Vazacopoulos
The document presents a nonlinear integrated model for the operational planning of multi-site refineries. The model aims to optimize refinery operations across multiple refinery sites in a unified manner by considering the nonlinear relationships between process variables, yields, properties and operational constraints. The approach integrates operational planning with process models that can account for variations in yields and properties based on operational conditions. This provides a more accurate representation of refinery behavior compared to traditional linear programming models.
Presented in this document is a short discussion on using IMPL’s SLPQPE algorithm to solve process optimization problems in either off- or on-line environments also known as real-time optimization (RTO). Process optimization is somewhat different than production optimization in the sense that there are more “constitutive relations” involving only intensive variables. Both types of optimizations involve “conservation laws” and “correlative equations” which usually involve a mix of extensive and intensive variables (Kelly, 2004). Whereas production optimization deals more with material, meta-material (nonlinear), logic and logistics (discrete) balances (Zyngier and Kelly, 2009 and Kelly and Zyngier, 2015), process optimization is inherently more detailed and includes energy, exergy, momentum, hydraulics, equilibrium, diffusion, kinetics and other types of transport phenomena which involve nonlinear and perhaps discontinuous functions (Pantelides and Renfro, 2012).
A Regularization Approach to the Reconciliation of Constrained Data SetsAlkis Vazacopoulos
This document proposes a new regularization approach to reconcile constrained data sets. The approach assumes unmeasured variables have a finite but equal uncertainty to derive an iterative solution that does not require explicitly computing a projection matrix at each step. This avoids issues when the projection matrix is non-invertible. The method arrives at a minimized solution by reformulating the problem to include an added regularization term for the unmeasured variables. It also provides an alternative way to classify variables without using the projection matrix.
The document provides an overview of Switch Datacenters, including an agenda for a company presentation, details about the company's founding, location, and focus on the TMT sector. It describes the datacenter facilities including power capacity, security features, and carrier neutral connectivity. Services offered include colocation, connectivity, support, and managed services options. Customer references are also listed. The goal is to enable companies to securely house critical IT equipment in a sustainable environment with bespoke solutions and connectivity.
Projeto de gestao integrada de tecnologias (1)Mariza Mendes
O documento descreve o Projeto de Gestão Integrada de Tecnologias (PROGITEC) em uma escola. O PROGITEC tem como objetivos integrar as tecnologias disponíveis na escola com o currículo por meio de projetos interdisciplinares envolvendo gestores, professores, alunos e profissionais de apoio. O projeto passa por etapas de diagnóstico, design, elaboração, implementação e avaliação dos projetos interdisciplinares. A gestão do PROGITEC envolve articulação com secretarias, definição
Um grupo de estudantes fez uma lista das sete maravilhas do mundo moderno. Um estudante teve dificuldade em escolher e listou as sete maravilhas como sendo os sentidos humanos: ver, ouvir, tocar, provar, sentir, rir e amar. A turma ficou em silêncio reconhecendo o quão maravilhosas são essas coisas simples da vida.
Building Cogeneration Planning Scheduling Systems using IBM ILOG ODME, CPLEX ...Alkis Vazacopoulos
This document discusses using IBM's ODME and iMPress software for building cogeneration planning and scheduling applications. It provides an overview of ODME, iMPress, and how they can be implemented together. Key benefits include fitting business models/processes, sophisticated optimization, quick adaptation, and scenario analysis. A proof-of-concept is proposed to select a plant type, integrate data sources, solve models, and tune models for accuracy and tractability.
Solve Production Allocation and Reconciliation Problems using the same NetworkAlkis Vazacopoulos
Production allocation is a business accounting practice used throughout the processing world to proportionately and quantitatively assign measurement error and production expenditures or overheads to internal and external business owners. Reconciliation is a scientific function to vet production data of gross errors or non-random variation if it occurs and to find more precise estimates of the measured values. The consequence of our proposed technique is to allow these two functions the capability to use the same production network or flow-path. Only one model is required to be maintained eliminating the possibility that potentially costly mis-allocation will occur due to business and engineering model-mismatch. Mis-allocation due to measurement errors can still be problematic as we illustrate in an example, but should be reduced over time because of the reconciliation measurement diagnostics.
Stock Decomposition Heuristic for Scheduling: A Priority Dispatch Rule ApproachAlkis Vazacopoulos
Highlighted in this article is a closed-shop scheduling heuristic which makes use of the traditional priority dispatch rule approach found in open-shop scheduling such as job-shop scheduling. Instead of prioritizing and scheduling one job or project (or stock-order) at a time, we schedule one stock or stock-group at a time where a stock-group is a collection of individual stocks and their one or more stock-orders. These stocks can be feed-stocks, intermediate-stocks or product-stocks of which we focus on product-stocks given that most production is demand-driven. A key feature of this heuristic is our ability to compress the production network or superstructure so that only those unit-operations necessary to produce the stocks in question are included in the model thus reducing the size of the problem considerably at each iteration of the heuristic. The stock-specific network compression technique uses what we call a unit-capacity transshipment linear program to successively determine which unit-operations are redundant when making a particular stock. This heuristic is also particularly useful for those process industries that can potentially produce many product-stocks but only a fraction of these are produced within the scheduling horizon whereby the model is significantly reduced at solve time to include only those stocks that are demanded whereby redundant unit-operations are removed. An illustrative example is provided with recycle loops (i.e., stock flow-reversals) and shared units or equipment (i.e., unit flow-reversals) that demonstrates the effectiveness and efficiency of the technique.
A Nonlinear Integrated Model for Operational Planning of Multi-Site RefineriesAlkis Vazacopoulos
The document presents a nonlinear integrated model for the operational planning of multi-site refineries. The model aims to optimize refinery operations across multiple refinery sites in a unified manner by considering the nonlinear relationships between process variables, yields, properties and operational constraints. The approach integrates operational planning with process models that can account for variations in yields and properties based on operational conditions. This provides a more accurate representation of refinery behavior compared to traditional linear programming models.
Presented in this document is a short discussion on using IMPL’s SLPQPE algorithm to solve process optimization problems in either off- or on-line environments also known as real-time optimization (RTO). Process optimization is somewhat different than production optimization in the sense that there are more “constitutive relations” involving only intensive variables. Both types of optimizations involve “conservation laws” and “correlative equations” which usually involve a mix of extensive and intensive variables (Kelly, 2004). Whereas production optimization deals more with material, meta-material (nonlinear), logic and logistics (discrete) balances (Zyngier and Kelly, 2009 and Kelly and Zyngier, 2015), process optimization is inherently more detailed and includes energy, exergy, momentum, hydraulics, equilibrium, diffusion, kinetics and other types of transport phenomena which involve nonlinear and perhaps discontinuous functions (Pantelides and Renfro, 2012).
A Regularization Approach to the Reconciliation of Constrained Data SetsAlkis Vazacopoulos
This document proposes a new regularization approach to reconcile constrained data sets. The approach assumes unmeasured variables have a finite but equal uncertainty to derive an iterative solution that does not require explicitly computing a projection matrix at each step. This avoids issues when the projection matrix is non-invertible. The method arrives at a minimized solution by reformulating the problem to include an added regularization term for the unmeasured variables. It also provides an alternative way to classify variables without using the projection matrix.
The document provides an overview of Switch Datacenters, including an agenda for a company presentation, details about the company's founding, location, and focus on the TMT sector. It describes the datacenter facilities including power capacity, security features, and carrier neutral connectivity. Services offered include colocation, connectivity, support, and managed services options. Customer references are also listed. The goal is to enable companies to securely house critical IT equipment in a sustainable environment with bespoke solutions and connectivity.
Projeto de gestao integrada de tecnologias (1)Mariza Mendes
O documento descreve o Projeto de Gestão Integrada de Tecnologias (PROGITEC) em uma escola. O PROGITEC tem como objetivos integrar as tecnologias disponíveis na escola com o currículo por meio de projetos interdisciplinares envolvendo gestores, professores, alunos e profissionais de apoio. O projeto passa por etapas de diagnóstico, design, elaboração, implementação e avaliação dos projetos interdisciplinares. A gestão do PROGITEC envolve articulação com secretarias, definição
Um grupo de estudantes fez uma lista das sete maravilhas do mundo moderno. Um estudante teve dificuldade em escolher e listou as sete maravilhas como sendo os sentidos humanos: ver, ouvir, tocar, provar, sentir, rir e amar. A turma ficou em silêncio reconhecendo o quão maravilhosas são essas coisas simples da vida.
