Publikation:

Mixed-Integer Nonlinear Modeling and Optimization of Designing Decentralized Energy Supply Networks

Lade...
Vorschaubild

Dateien

Lu_2-wngrv7sqaxpg9.pdf
Lu_2-wngrv7sqaxpg9.pdfGröße: 966.16 KBDownloads: 127

Datum

2023

Autor:innen

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

DOI (zitierfähiger Link)
ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Dissertation
Publikationsstatus
Published

Erschienen in

Zusammenfassung

This thesis addresses the problem of designing cost-efficient decentralized energy sup- ply networks, which allow for distributed forms of energy generation. Two major contri- butions are made: A novel mathematical modeling approach of designing decentralized energy supply networks is proposed and solution strategies, in particular, those which are based on linearization, are studied and extended for practically relevant mixed-integer non- linear optimization.

We couple the energy supply of electricity and natural gas into one network and in- troduce mirco-energy-conversion technologies in order to meet the demand of heat and electricity for residential houses. A unifying modeling approach based on mixed-integer nonlinear programming is proposed, which models practical decisions, such as network expansion, technology distribution and energy-efficient house renovation, and takes into account the nonlinear physical law of energy flows. The complexity of the problem poses a considerably computational challenge.

We exploit the particular structure of our problem formulation and develop tailored solution methods with linearization techniques. Both approximation and relaxation of non- convex functions are considered based on mixed-integer formulations of piecewise linear functions. Extensive computational studies are presented, showing their numerical perfor- mance for solving nonconvex MINLP problems.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
510 Mathematik

Schlagwörter

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690LU, Jianjie, 2023. Mixed-Integer Nonlinear Modeling and Optimization of Designing Decentralized Energy Supply Networks [Dissertation]. Konstanz: University of Konstanz
BibTex
@phdthesis{Lu2023Mixed-66189,
  year={2023},
  title={Mixed-Integer Nonlinear Modeling and Optimization of Designing Decentralized Energy Supply Networks},
  author={Lu, Jianjie},
  address={Konstanz},
  school={Universität Konstanz}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/66189">
    <dc:language>eng</dc:language>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/39"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/66189"/>
    <dcterms:title>Mixed-Integer Nonlinear Modeling and Optimization of Designing Decentralized Energy Supply Networks</dcterms:title>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-02-23T07:22:43Z</dc:date>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/39"/>
    <dcterms:abstract>This thesis addresses the problem of designing cost-efficient decentralized energy sup- ply networks, which allow for distributed forms of energy generation. Two major contri- butions are made: A novel mathematical modeling approach of designing decentralized energy supply networks is proposed and solution strategies, in particular, those which are based on linearization, are studied and extended for practically relevant mixed-integer non- linear optimization.

We couple the energy supply of electricity and natural gas into one network and in- troduce mirco-energy-conversion technologies in order to meet the demand of heat and electricity for residential houses. A unifying modeling approach based on mixed-integer nonlinear programming is proposed, which models practical decisions, such as network expansion, technology distribution and energy-efficient house renovation, and takes into account the nonlinear physical law of energy flows. The complexity of the problem poses a considerably computational challenge.

We exploit the particular structure of our problem formulation and develop tailored solution methods with linearization techniques. Both approximation and relaxation of non- convex functions are considered based on mixed-integer formulations of piecewise linear functions. Extensive computational studies are presented, showing their numerical perfor- mance for solving nonconvex MINLP problems.</dcterms:abstract>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/66189/4/Lu_2-wngrv7sqaxpg9.pdf"/>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-02-23T07:22:43Z</dcterms:available>
    <dc:creator>Lu, Jianjie</dc:creator>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/66189/4/Lu_2-wngrv7sqaxpg9.pdf"/>
    <dcterms:issued>2023</dcterms:issued>
    <dc:contributor>Lu, Jianjie</dc:contributor>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

July 15, 2021
Hochschulschriftenvermerk
Konstanz, Univ., Diss., 2021
Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Diese Publikation teilen