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Grant: Engage Plus Grants Program

York University

$10,700.00

Optimal joint scheduling of LOHC-based hydrogen generation and storage for fuel supply to transportation sector and ancillary services to power grids

EF 2018-19

Résumé
The proliferation of hydrogen fueling stations is critical for the successful materialization of hydrogen-powered*electric vehicles. Storage-based hydrogen fueling stations could, in part, utilize the renewable/ inexpensive*electricity-that would otherwise be curtailed-to generate hydrogen and straightforwardly yield profit for the*operator of the stations. In order to further enhance the economic viability of these fueling stations, the full*benefit of the investment through joint applications should be aimed via providing ancillary services to the*power grid. The economic efficiency of jointly scheduled hydrogen storage, however, is seriously undermined*if its capacity is not optimally allocated for each application. This project aims to develop an optimization*model for hydrogen generation, storage scheduling, and storage capacity allocation for multiple applications.*The model will be specifically developed for the liquid organic hydrogen carriers (LOHC)-based plants that*would enable huge amount of hydrogen storage in smaller footprints compared to the conventional hydrogen*storage solutions. The proposed model in this project would take into account various operating constraints to*ensure that the hydrogen generation and storage meets both the demand by the transportation sector and the*ancillary services' requirement of the power grid.
Programme
Engage Plus Grants Program
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
529587-2018
Name nom
Farag, Hany
Department département
Electrical Engineering & Computer Science
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
10700
Program id
EGP2
Program name en
Engage Plus Grants Program
Program name fr
Programme de subvention d'engagement partenarial Plus
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
305
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy storage and conversion
Area of application fr
Stockage et transformation de l'énergie
Research subject code
2501
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Power systems
Research subject fr
Réseaux électriques
Partie
1
Nb partie
1
Application title
Optimal joint scheduling of LOHC-based hydrogen generation and storage for fuel supply to transportation sector and ancillary services to power grids
Keyword
NSERC
Application summary
The proliferation of hydrogen fueling stations is critical for the successful materialization of hydrogen-powered*electric vehicles. Storage-based hydrogen fueling stations could, in part, utilize the renewable/ inexpensive*electricity-that would otherwise be curtailed-to generate hydrogen and straightforwardly yield profit for the*operator of the stations. In order to further enhance the economic viability of these fueling stations, the full*benefit of the investment through joint applications should be aimed via providing ancillary services to the*power grid. The economic efficiency of jointly scheduled hydrogen storage, however, is seriously undermined*if its capacity is not optimally allocated for each application. This project aims to develop an optimization*model for hydrogen generation, storage scheduling, and storage capacity allocation for multiple applications.*The model will be specifically developed for the liquid organic hydrogen carriers (LOHC)-based plants that*would enable huge amount of hydrogen storage in smaller footprints compared to the conventional hydrogen*storage solutions. The proposed model in this project would take into account various operating constraints to*ensure that the hydrogen generation and storage meets both the demand by the transportation sector and the*ancillary services' requirement of the power grid.