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AuthorMehrjerdi H.
Available date2020-04-09T12:27:28Z
Publication Date2019
Publication NameInternational Journal of Hydrogen Energy
ResourceScopus
ISSN3603199
URIhttp://dx.doi.org/10.1016/j.ijhydene.2019.02.118
URIhttp://hdl.handle.net/10576/13997
AbstractThis paper presents an efficient framework for converting renewable energy to gas and reducing Carbon dioxide (CO 2 ) footprint at the same time. The problem is presented in two levels. The first level is a minimization programming that minimizes operational cost and CO 2 of generators. The CO 2 is forwarded to the second level. In the second level, Carbon Capture and Storage (CCS) is designed to capture CO 2 . The CO 2 is combined with Hydrogen and makes Methane (CH 4 ). The required Hydrogen is obtained from water electrolyzer that is supplied by the solar system. The capacity and size of water electrolyzer, solar system, and CCS is designed by the planning in the second level while this programming maximizes profit from selling Methane. As a result, the first level presents minimization programming (i.e., minimizing cost and CO 2 ) and the second level presents maximization programming (i.e., maximizing profit). The programming is developed taking into account solar uncertainty. The stochastic programming is implemented to cope with uncertainties. The problem is formulated as binary mixed integer linear programming and solved by GAMS software. The proposed power to gas (P2G) procedure efficiently designs proper solar system and deals with intermittency of solar energy, reduces CO 2 footprint, maximizes profit, and minimizes operational cost of generators at the same time.
Languageen
PublisherElsevier Ltd
SubjectCarbon capture and storage
Hydrogen
Methane market
Power to gas
Solar energy
TitleOptimal correlation of non-renewable and renewable generating systems for producing hydrogen and methane by power to gas process
TypeArticle
Pagination9210-9219
Issue Number18
Volume Number44


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