Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/90059
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dc.contributor.authorMiao, Binen
dc.contributor.authorChan, Siew Hwaen
dc.date.accessioned2019-07-18T05:58:19Zen
dc.date.accessioned2019-12-06T17:39:47Z-
dc.date.available2019-07-18T05:58:19Zen
dc.date.available2019-12-06T17:39:47Z-
dc.date.issued2019en
dc.identifier.citationMiao, B., & Chan, S. H. (2019). The Profitability Estimation of a 100 MW Power-to-Gas Plant. Energy Procedia, 156, 310-314. doi:10.1016/j.egypro.2018.11.147en
dc.identifier.issn1876-6102en
dc.identifier.urihttps://hdl.handle.net/10356/90059-
dc.description.abstractPower-to-Gas (PtG) is a grid-scale energy storage technology that converts electricity into the gas fuel as an energy carrier. Specifically, it utilizes surplus renewable electricity to generate hydrogen from electrolysis with Solid Oxide Cell (SOC), and the hydrogen is then combined with CO2 through Sabatier process to form methane. The methane can be transported within existing natural gas pipeline or city gas pipeline for civil and commercial usages. To increase the utilization rate of the plant, it is sensible to make use of the reverse function of SOC, which is a Solid Oxide Fuel Cell (SOFC), to generate electricity when the grid is short of power. The energy input of this process is methane, and it is called Gas-to-Power (GtP). This study estimated the realistic cost of building a 100 MW PtG plant. The focus of this study is given to the effect of several parameters on the Levelized Cost of Electricity (LCOE) of the PtG plant.en
dc.format.extent5 p.en
dc.language.isoenen
dc.relation.ispartofseriesEnergy Procediaen
dc.rights© 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).en
dc.subjectPower-to-Gasen
dc.subjectEnergy Storageen
dc.subjectScience::Physicsen
dc.titleThe profitability estimation of a 100 MW power-to-gas planten
dc.typeJournal Articleen
dc.contributor.researchEnergy Research Institute @ NTU (ERI@N)en
dc.identifier.doi10.1016/j.egypro.2018.11.147en
dc.description.versionPublished versionen
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