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Author: Urmila Diwekar Publisher: Springer ISBN: 1493922823 Category : Business & Economics Languages : en Pages : 168
Book Description
This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems. A generalized method for stochastic nonlinear programming based on a sampling based approach for uncertainty analysis and statistical reweighting to obtain probability information is demonstrated in this book. Stochastic optimization problems are difficult to solve since they involve dealing with optimization and uncertainty loops. There are two fundamental approaches used to solve such problems. The first being the decomposition techniques and the second method identifies problem specific structures and transforms the problem into a deterministic nonlinear programming problem. These techniques have significant limitations on either the objective function type or the underlying distributions for the uncertain variables. Moreover, these methods assume that there are a small number of scenarios to be evaluated for calculation of the probabilistic objective function and constraints. This book begins to tackle these issues by describing a generalized method for stochastic nonlinear programming problems. This title is best suited for practitioners, researchers and students in engineering, operations research, and management science who desire a complete understanding of the BONUS algorithm and its applications to the real world.
Author: Urmila Diwekar Publisher: Springer ISBN: 1493922823 Category : Business & Economics Languages : en Pages : 168
Book Description
This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems. A generalized method for stochastic nonlinear programming based on a sampling based approach for uncertainty analysis and statistical reweighting to obtain probability information is demonstrated in this book. Stochastic optimization problems are difficult to solve since they involve dealing with optimization and uncertainty loops. There are two fundamental approaches used to solve such problems. The first being the decomposition techniques and the second method identifies problem specific structures and transforms the problem into a deterministic nonlinear programming problem. These techniques have significant limitations on either the objective function type or the underlying distributions for the uncertain variables. Moreover, these methods assume that there are a small number of scenarios to be evaluated for calculation of the probabilistic objective function and constraints. This book begins to tackle these issues by describing a generalized method for stochastic nonlinear programming problems. This title is best suited for practitioners, researchers and students in engineering, operations research, and management science who desire a complete understanding of the BONUS algorithm and its applications to the real world.
Author: Ashok Vaseashta Publisher: DEStech Publications, Inc ISBN: 1605950238 Category : Technology & Engineering Languages : en Pages : 404
Book Description
Investigative tools for analyzing environmental nanoparticles with health impactsBasic theories and models of life cycle analysis applied to nanomaterialsConnects LCA, detection technologies and sustainability This book addresses the ways life cycle assessment (LCA) concepts can be applied to analyze the fate of nanoparticles in a variety of environmental and manufacturing settings. After introducing LCA theory and modeling concepts, the work discusses risks associated with carbon nanotubes, graphene, silver, fullerenes, iron oxides and other particles generated by manufacturing or medical diagnostics. Chapters in the text discuss biomolecules and the application of in vivo biosensors. Also covered are fate analysis, risk assessment, toxicology and nanopathology with a focus on human health and disease.
Author: Institute for Operations Research and the Management Sciences. National Meeting Publisher: ISBN: Category : Industrial management Languages : en Pages : 644
Author: Pallabi Sen Publisher: ISBN: Category : Sensor networks Languages : en Pages : 17
Book Description
The measurement technology with sensors plays a key role in achieving efficient operation of the process plants, and optimal sensor placement is very important in this endeavor. The focus of the current work is on the development of sensor placement algorithms to obtain the numbers, locations, and types of sensors for a large-scale process with the estimator-based control system. Two sensor placement algorithms are developed and investigated. In one algorithm, dynamics in the process efficiency loss that are due to the estimator-based control system that receives measurements from a candidate sensor network are explicitly accounted for. For a large-scale process with a large number of candidate sensor locations, this approach leads to a computationally expensive mixed integer nonlinear programming problem. In another algorithm, the estimation error is accounted for in terms of probability distributions, and therefore, a stochastic programming approach is used to solve the sensor placement problem. A novel algorithm called BONUS is used to solve the problem. The developed sensor placement algorithms are implemented in an acid gas removal unit as part of an integrated gasification combined cycle power plant with precombustion carbon dioxide capture. In this article, we compare and contrast these two sensor placement algorithms by evaluating the efficiency loss of the optimal sensor network synthesized by each of these algorithms along with their computational performance.
Author: Publisher: Elsevier ISBN: 0444639705 Category : Technology & Engineering Languages : en Pages : 3064
Book Description
27th European Symposium on Computer Aided Process Engineering, Volume 40 contains the papers presented at the 27th European Society of Computer-Aided Process Engineering (ESCAPE) event held in Barcelona, October 1-5, 2017. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students, and consultants for chemical industries. Presents findings and discussions from the 27th European Society of Computer-Aided Process Engineering (ESCAPE) event
Author: Richard Alan Waltz Publisher: ISBN: Category : Languages : en Pages :
Book Description
We investigate two algorithmic approaches for the efficient and robust solution of large-scale, generally constrained, nonlinear optimization problems.
Author: Urmila Diwekar
Author: Urmila Diwekar
Author: Ashok Vaseashta
Author: P. T. Boggs
Author: Suvrajeet Sen
Author: Institute for Operations Research and the Management Sciences. National Meeting
Author: Indian National Science Academy
Author: L. F. Escudero
Author: Pallabi Sen
Author: 
Author: Richard Alan Waltz