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  <doc>
    <id>1854</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>100</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-12-22</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>2023-11-13</thesisDateAccepted>
    <title language="eng">Modelling Power Generation of Photovoltaics using Weather Data for the Design of an Electrolysis System</title>
    <abstract language="eng">To simplify the process towards the development of necessary hydrogen energy storage systems, this research project provides important information and tools for the planning process of such systems on a small scale. Several questions about a solar powered system using hydrogen for energy storage designed for the companies WSN and ESN, could not be answered sufficiently with the available tools which made developing new tools necessary. This tool incorporates various input variables and PV energy generation data to simulate the system's performance over a year into a Microsoft Excel based simulation. Within the framework of the tool developed over the course of the thesis, theoretical exploration of various options for system composition can take place. The insights gained there can be transferred to the implementation of actual projects and have an impact on the speed at which these projects can be realized. The results of the simulation led to the proposal of a system designed for the company WSN, where hydrogen serves as a long-term energy storage solution. Notably, this approach significantly reduces the surplus energy that goes unused, making the system more efficient. This research contributes valuable insights and practical tools to enhance the planning and implementation of small-scale hydrogen energy storage projects.</abstract>
    <identifier type="urn">urn:nbn:de:hbz:1383-opus4-18547</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>CC BY 4.0 International - Namensnennung</licence>
    <author>Leon Schlüter</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>System simulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Hydrogen energy storage</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Green hydrogen</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Renewable energy storage</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Renewable microgrid</value>
    </subject>
    <collection role="institutes" number="">Fakultät Kommunikation und Umwelt</collection>
    <thesisPublisher>Hochschule Rhein-Waal</thesisPublisher>
    <thesisGrantor>Hochschule Rhein-Waal</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-rhein-waal/files/1854/Schlueter_Bachelorarbeit.pdf</file>
  </doc>
</export-example>
