Decomposition of a Cooling Plant for Energy Efficiency Optimization Using OptTopo

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dc.contributor.authorThiele, Gregor
dc.contributor.authorJohanni, Theresa
dc.contributor.authorSommer, David
dc.contributor.authorKrüger, Jörg
dc.date.accessioned2023-01-23T10:05:50Z
dc.date.available2023-01-23T10:05:50Z
dc.date.issued2022-11-09
dc.date.updated2022-12-07T10:53:33Z
dc.description.abstractThe operation of industrial supply technology is a broad field for optimization. Industrial cooling plants are often (a) composed of several components, (b) linked using network technology, (c) physically interconnected, and (d) complex regarding the effect of set-points and operating points in every entity. This leads to the possibility of overall optimization. An example containing a cooling tower, water circulations, and chillers entails a non-linear optimization problem with five dimensions. The decomposition of such a system allows the modeling of separate subsystems which can be structured according to the physical topology. An established method for energy performance indicators (EnPI) helps to formulate an optimization problem in a coherent way. The novel optimization algorithm OptTopo strives for efficient set-points by traversing a graph representation of the overall system. The advantages are (a) the ability to combine models of several types (e.g., neural networks and polynomials) and (b) an constant runtime independent from the number of operation points requested because new optimization needs just to be performed in case of plant model changes. An experimental implementation of the algorithm is validated using a simscape simulation. For a batch of five requests, OptTopo needs 61min while the solvers Cobyla, SDPEN, and COUENNE need 0.3 min, 1.4 min, and 3.1 min, respectively. OptTopo achieves an efficiency improvement similar to that of established solvers. This paper demonstrates the general feasibility of the concept and fortifies further improvements to reduce computing time.
dc.description.sponsorshipBMWK, 03ET1313B, Verbundvorhaben EnEffReg: Ganzheitliche Energieeffizienzregelung für versorgungstechnische Anlagen der industriellen Produktion; Teilvorhaben: Konzepte zur Umsetzung der kennzahlbasierten Energieeffizienz-Regelung
dc.identifier.eissn1996-1073
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/18032
dc.identifier.urihttps://doi.org/10.14279/depositonce-16824
dc.language.isoen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitende
dc.subject.otheroptimization
dc.subject.otherenergy efficiency
dc.subject.otherdecomposition
dc.subject.othersystem of systems
dc.subject.otherOptTopo
dc.titleDecomposition of a Cooling Plant for Energy Efficiency Optimization Using OptTopo
dc.typeArticle
dc.type.versionpublishedVersion
dcterms.bibliographicCitation.articlenumber8387
dcterms.bibliographicCitation.doi10.3390/en15228387
dcterms.bibliographicCitation.issue22
dcterms.bibliographicCitation.journaltitleEnergies
dcterms.bibliographicCitation.originalpublishernameMDPI
dcterms.bibliographicCitation.originalpublisherplaceBasel
dcterms.bibliographicCitation.volume15
dcterms.rightsHolder.referenceCreative-Commons-Lizenz
tub.accessrights.dnbfree
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Werkzeugmaschinen und Fabrikbetrieb::FG Industrielle Automatisierungstechnik
tub.publisher.universityorinstitutionTechnische Universität Berlin

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