Power to gas and H2/NG blend in SMART energy networks concept

Lia Kouchachvili and Evgueniy Entchev

Renewable Energy, 2018, vol. 125, issue C, 456-464

Abstract: In the last decade energy security and supply has become one of the main priorities for governments around the world. Energy sources diversification, proper mix of energy generation capacities and large penetration of renewables are crucial to achieve a sustainable energy future. Smart Energy Networks (SENs) is a new concept that will allow the integration of various energy networks including electricity, gas and heat into one network under common Information and Communications Technology (ICT) to allow better management, efficient utilization and increased participation of distributed generation and renewables. In order to bridge the networks, appropriate technologies have to be applied that will allow the energy vectors to interface and share the load. One such technology is Power to Gas utilizing the excess electricity on the grid to generate hydrogen. Hydrogen then either injected in the gas pipeline/storage or used to synthesize a renewable natural gas through methanation.

Keywords: Renewable energy; Gas injection; Pipelines; Simulation; Hydrogen/natural gas (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148118302325
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:125:y:2018:i:c:p:456-464

DOI: 10.1016/j.renene.2018.02.088

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().