Author:
Weber Jonas B.,Hartisch Michael,Herbst Alexander D.,Lorenz Ulf
Abstract
AbstractIndividual technical components are usually well optimized. However, the design process of entire technical systems, especially in its early stages, is still dominated by human intuition and the practical experience of engineers. In this context, our vision is the widespread availability of software tools to support the human-driven design process with the help of modern mathematical methods. As a contribution to this, we consider a selected class of technical systems, so-called thermofluid systems. From a technical point of view, these systems comprise fluid distribution as well as superimposed heat transfer. Based on models for simple fluid systems as extensively studied in literature, we develop model extensions and algorithmic methods directed towards the optimized synthesis of thermofluid systems to a practical extent. Concerning fluid systems, we propose a Branch-and-Bound framework, exploiting problem-specific characteristics. This framework is then further analyzed using the application example of booster stations for high-rise buildings. In addition, we demonstrate the application of Quantified Programs to meet possible resilience requirements with respect to the systems generated. In order to model basic thermofluid systems, we extend the existing formulation for fluid systems by including heat transfer. Since this consideration alone is not able to deal with dynamic system behavior, we face this challenge separately by providing a more sophisticated representation dealing with the temporal couplings that result from storage components. For the considered case, we further show the advantages of this special continuous-time representation compared to the more common representation using discrete time intervals.
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Control and Optimization,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Software
Reference74 articles.
1. Afram A, Janabi-Sharifi F (2014) Theory and applications of HVAC control systems: a review of model predictive control (MPC). Build Environ 72:343–355
2. Altherr LC (2016) Algorithmic system design under consideration of dynamic processes. Dissertation, Technische Universität Darmstadt
3. Altherr LC, Brötz N, Dietrich I, Gally T, Geßner F, Kloberdanz H, Leise P, Pelz PF, Schlemmer PD, Schmitt A (2018a) Resilience in mechanical engineering—a concept for controlling uncertainty during design, production and usage phase of load-carrying structures. In: Uncertainty in mechanical engineering III. Trans Tech Publications Ltd, Switzerland, pp 187–198
4. Altherr LC, Dörig B, Ederer T, Pelz PF, Pfetsch ME, Wolf J (2018b) A mixed-integer nonlinear program for the design of gearboxes. In: Operations research proceedings 2016. Springer, Cham, pp 227–233
5. Altherr LC, Leise P, Pfetsch ME, Schmitt A (2019) Resilient layout, design and operation of energy-efficient water distribution networks for high-rise buildings using MINLP. Optim Eng 20(2):605–645
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