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    <id>5137</id>
    <completedYear>2024</completedYear>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>viii, 54</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-09-24</completedDate>
    <publishedDate>2024-09-10</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">PyPSA-Earth driven cost-optimal pathway for Botswana to achieve carbon-neutrality by year 2050</title>
    <abstract language="eng">The pressing issue of developing countries is insufficient electrical access and maintaining the required carbon limit needs to be answered. Worldwide policymakers, researchers and investors constantly trying to achieve the coat optimum solution with clean energy required the comprehensive study of the country. Acknowledging the same issues, government of Botswana is constantly trying for enlarging energy generation through increasing capacities and renewable generators in the current energy producers. Taking those initiative and policies into consideration, this thesis focuses on for major scenarios. First scenario 2030 with the 30% increase in renewable capacity, second scenario 2036 with 50% increase in renewable capacity, third scenario 2050 (A) where renewable capacity is increase to 70% considering the previous year (2030, 2036) renewable growth and finally fourth scenario where similar to other countries Botswana attempts for zero carbon emission electricity hence the 100% renewable system2050 (B). Highly customised scenario with modified constraints in PyPSA-Earth energy model gives the results like expanded installed capacities, generation according to each fuel-based power plant, costs of generator like CapEx and OpEx, dispatch and its detailed analysis, generator and load distribution and battery storage plot. Not only the future but also present energy system is comprehended in the study to attain the correlation with the historical and forecasted values. Finally, all the scenarios are compared with respect to gained results and determining that scenario 2050(B) fits the best and satisfies the desired target of thesis.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-51372</identifier>
    <enrichment key="opus.import.date">2024-09-24T06:42:06+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Matthias</first_name>
      <last_name>Huber</last_name>
    </advisor>
    <author>
      <first_name>Shraddha Rajendra</first_name>
      <last_name>Potadar</last_name>
    </author>
    <advisor>
      <first_name>Tobias</first_name>
      <last_name>Schrag</last_name>
    </advisor>
    <collection role="institutes" number="15985">Fakultät Maschinenbau</collection>
    <collection role="degree_programme" number="19339">Renewable Energy Systems (M. Sc.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/5137/I002178617Thesis.pdf</file>
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