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Weber, Jonas Benjamin: On the algorithmic synthesis of fluid and thermofluid systems. 2021
Inhalt
Zusammenfassung
Abstract
Contents
Physical Quantities
Acronyms
List of Figures
List of Tables
Introduction
Motivation
Own Contribution to Knowledge
Structure of the Thesis
Theoretical Background
Engineering Basics
Continuity Equation
Bernoulli's Equation and Losses
Simplified Steady-Flow Thermal Energy Equation
Algorithmic Basics
Mixed-Integer Linear Programming
Bounds, Relaxations and Optimality Gap
Linearization Techniques
System Synthesis Problems
Optimization-Supported System Design
Systematic Design Approach
Related Technical Work
Technical Operations Research
Optimization of Water Distribution Systems
Optimization of Gas Networks
Optimization of Energy Systems
Model Predictive Control of HVAC Systems
Modeling of Fluid Systems
Components of Fluid Systems
Pumps
Pipes and Gate Valves
Optimization Model for Fluid Systems
Objective Function
General System Constraints
Component-Specific Constraints
Algorithmics for the System Design of Fluid Systems
Application to Booster Stations
Primal Heuristic: Simulated Annealing
Dual Heuristic: Domain-Specific Relaxation
Closing the Gap: Branch-and-Bound
Computational Study
Examination of the Solution Quality
Examination of the Topologies
Examination of the Runtimes
Resilient System Design
Application to Booster Stations
Optimization Model
Application Examples
Optimized Initial Design
Multiple Identical Pumps
Modeling of Thermofluid Systems
Components of Thermofluid Systems
Boilers
Chillers
Extension of the Optimization Model for Thermofluid Systems
Objective Function
General System Constraints
Component-Specific Constraints
Application Example
Application to Industrial Cooling Systems
Computational Example
Computational Results
Discrete-Time Representation for Thermofluid Systems
Thermal Energy Storage
Extension of the Optimization Model for the Discrete-Time Representation
Objective Function
Thermal Energy Storage Constraints
Application Example
Application to Industrial Cooling Systems
Computational Example
Computational Results
Continuous-Time Representation for Thermofluid Systems
Estimating the Number of Intervals
Alternative Linearization Approach
Extension of the Optimization Model for the Continuous-Time Representation
Objective Function
General System Constraints
Thermal Energy Storage Constraints
Application Example
Computational Example
Computational Results
Conclusion and Outlook
Conclusion
Outlook
Appendix A
Overview of the Topological Results for Section 5.5
Overview of the Optimality Gap Progression for Section 5.5
Bibliography