<?xml version="1.0" encoding="UTF-8"?>
<collection>
<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.ijhydene.2022.05.270</dc:identifier><dc:language>eng</dc:language><dc:creator>Matute, G.</dc:creator><dc:creator>Yusta, J. M.</dc:creator><dc:creator>Beyza, J.</dc:creator><dc:creator>Monteiro, C.</dc:creator><dc:title>Optimal dispatch model for PV-electrolysis plants in self-consumption regime to produce green hydrogen: a Spanish case study</dc:title><dc:identifier>ART-2022-129621</dc:identifier><dc:description>The production of green hydrogen from renewable energy by means of water electrolysis is a promising approach to support energy sector decarbonization. This paper presents a techno-economic model of plants with PV sources connected to electrolysis in self-consumption regime that considers the dynamics of electrolysis systems. The model calculates the optimal hourly dispatch of the electrolysis system including the operational states (production, standby, and idle), the load factor in production, and the energy imports and exports to the electricity grid. Results indicate that the model is a useful decision support tool to operate electrolysis plants connected to PV plants in self-consumption regimes with the target of reducing hydrogen production costs.</dc:description><dc:date>2022</dc:date><dc:source>http://zaguan.unizar.es/record/118285</dc:source><dc:doi>10.1016/j.ijhydene.2022.05.270</dc:doi><dc:identifier>http://zaguan.unizar.es/record/118285</dc:identifier><dc:identifier>oai:zaguan.unizar.es:118285</dc:identifier><dc:relation>info:eu-repo/grantAgreement/EC/H2020/736351/EU/Demonstration of 4MW Pressurized Alkaline Electrolyser for Grid Balancing Services/Demo4Grid</dc:relation><dc:relation>This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 736351-Demo4Grid</dc:relation><dc:identifier.citation>International Journal of Hydrogen Energy 47,  60 (2022), 25202-25213</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

</collection>