<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>3230</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>24</pageNumber>
    <edition/>
    <issue>5</issue>
    <volume>16</volume>
    <articleNumber>2364</articleNumber>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-03-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Adoption of Local Peer-to-Peer Energy Markets: Technical and Economical Perspectives for Utilities</title>
    <abstract language="eng">Peer-to-peer (P2P) energy markets constitute a promising approach for locally coordinating the increasing amount of distributed energy resources (DERs) in the distribution system. Although the benefits of P2P markets for the prosumers are already well understood, their impact on utilities is not well discussed nor well understood. This hinders the development of regulatory frameworks, which are still needed to allow for the widespread adoption of decentralized energy markets in any interested country. So far, research has been conducted in specific isolated aspects, making it difficult to understand the overall implications for utilities. The present study aims to tackle this research gap by comprehensively evaluating P2P markets’ effects, considering utilities as primary stakeholders. A qualitative roadmap with the overall benefits and challenges of adopting P2P by utilities is outlined to reach this purpose. Technical and economic criteria are assigned for comparing a P2P market to the current regulatory framework. Each criterion is evaluated in a co-simulation platform connecting a market model to a power flow model. Market performance is assessed by revenue analysis, and grid operation indicators evaluate grid performance. Furthermore, network fees are introduced as compensation mechanisms for the net revenue loss. Comparison scenarios encompass network fees and the number of agents, PV, and storage penetration. Results demonstrate that there is no possible benefit for both utilities and prosumers simultaneously if looking exclusively at the financial balance of the market. An equilibrium in benefits for all stakeholders is achievable if non-financial metrics are considered in an integrated market and fee structure analysis. Moreover, results demonstrate that the design of market structures must be sensitive to network configurations and DER penetration changes. This study contributes toward comprehending how the utilities could embrace P2P markets as a feasible solution for grid coordination challenges, opening a new set of questions for further research.</abstract>
    <parentTitle language="eng">Energies</parentTitle>
    <identifier type="issn">1996-1073</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-32304</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.3390/en16052364</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Kristie</first_name>
      <last_name>Kaminski Küster</last_name>
    </author>
    <author>
      <first_name>Gebbran</first_name>
      <last_name>Daniel</last_name>
    </author>
    <author>
      <first_name>Alexandre Rasi</first_name>
      <last_name>Aoki</last_name>
    </author>
    <author>
      <first_name>Germano</first_name>
      <last_name>Lambert-Torres</last_name>
    </author>
    <author>
      <first_name>Daniel</first_name>
      <last_name>Navarro Gevers</last_name>
    </author>
    <author>
      <first_name>Patricio</first_name>
      <last_name>Impinnisi</last_name>
    </author>
    <author>
      <first_name>Cleverson Luiz</first_name>
      <last_name>da Silva Pinto</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>co-simulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>distributed energy resources</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>impact analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>local energy markets</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>microgrids</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>peer-to-peer energy trading</value>
    </subject>
    <collection role="institutes" number="15985">Fakultät Maschinenbau</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19321">Institut für neue Energie-Systeme (InES)</collection>
    <collection role="persons" number="26816">Navarro Gevers, Daniel</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/3230/energies-16-02364-v2.pdf</file>
  </doc>
  <doc>
    <id>1889</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-03-10</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Evaluation of the impacts of renewables sources and battery systems in distribution feeders with different penetration levels</title>
    <parentTitle language="eng">2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)</parentTitle>
    <identifier type="isbn">978-1-5386-8218-0</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ISGT-LA.2019.8895349</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_conferenceName">2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America), Gramado (Brazil), 15.-18.09.2019</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Thaís M.</first_name>
      <last_name>Blasi</last_name>
    </author>
    <author>
      <first_name>Thelma S. P.</first_name>
      <last_name>Fernandes</last_name>
    </author>
    <author>
      <first_name>Daniel</first_name>
      <last_name>Navarro Gevers</last_name>
    </author>
    <author>
      <first_name>Alexandre Rasi</first_name>
      <last_name>Aoki</last_name>
    </author>
    <author>
      <first_name>Patricio</first_name>
      <last_name>Impinnisi</last_name>
    </author>
    <author>
      <first_name>Cleverson L.</first_name>
      <last_name>da S. Pinto</last_name>
    </author>
    <author>
      <first_name>Patricia M. R.</first_name>
      <last_name>da V. Damasceno</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>battery energy storage</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>distributed generation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>opendss</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>penetration levels</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>photovoltaic</value>
    </subject>
    <collection role="institutes" number="15985">Fakultät Maschinenbau</collection>
    <collection role="institutes" number="19321">Institut für neue Energie-Systeme (InES)</collection>
    <collection role="persons" number="26816">Navarro Gevers, Daniel</collection>
  </doc>
  <doc>
    <id>3344</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>14</pageNumber>
    <edition/>
    <issue>7</issue>
    <volume>16</volume>
    <articleNumber>3155</articleNumber>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Assessment of Conservation Voltage Reduction in Distribution Networks with Voltage Regulating Distribution Transformers</title>
    <abstract language="eng">The application of voltage reduction in medium and low voltage grids to reduce peak power demand or energy consumption has been implemented since the 1980s using several approaches. Conservation Voltage Reduction (CVR), as one such approach, uses a voltage control device to reduce or increase the voltage setpoint on a busbar, thereby reducing or increasing the amount of active and reactive power supply in the network. Voltage regulation for CVR is always implemented according to established network planning standards in each country. Research in this field has proven that a CVR factor (CVRf) of 0.7–1.5 for peak demand reduction can be achieved. This is an evaluation metric of CVR. The aim of this research is to determine and validate CVRf for peak demand reduction by comparing actual results obtained during regular tap changes with other randomly distributed periods outside tap change operations, using a set of measurement data. It is important to understand CVR deployment capability by evaluating CVR potentials from historical random tap operations before a robust network-wide deployment is introduced. This research provides such guidance. It also provides a novel approach to determining tap changes from voltage measurements using a time-based algorithm. A CVRf ranging from 0.95 to 1.61 was estimated using a measurement dataset from a test field. The result of the entire evaluation shows that the CVRf are smaller during peak PV production and greater during peak demand periods. Further evaluation using statistical hypotheses testing and a control chart was used to validate the evaluation.</abstract>
    <parentTitle language="eng">Energies</parentTitle>
    <identifier type="issn">1996-1073</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-33449</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.3390/en16073155</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Anthony</first_name>
      <last_name>Igiligi</last_name>
    </author>
    <author>
      <first_name>Armin</first_name>
      <last_name>Vielhauer</last_name>
    </author>
    <author>
      <first_name>Mathias</first_name>
      <last_name>Ehrenwirth</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Hurm</last_name>
    </author>
    <author>
      <first_name>Thorsten</first_name>
      <last_name>Summ</last_name>
    </author>
    <author>
      <first_name>Christoph</first_name>
      <last_name>Trinkl</last_name>
    </author>
    <author>
      <first_name>Daniel</first_name>
      <last_name>Navarro Gevers</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>conservation voltage reduction</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>peak power</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>tap change</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>voltage regulating distribution transformers</value>
    </subject>
    <collection role="institutes" number="15985">Fakultät Maschinenbau</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19321">Institut für neue Energie-Systeme (InES)</collection>
    <collection role="persons" number="26816">Navarro Gevers, Daniel</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/3344/energies-16-03155.pdf</file>
  </doc>
</export-example>
