Reference number : GC-2017-Q2-00358, amendment number : , agreement type : G, recipient legal name : Farag, Hany (York University)|Farag, Hany (Université York), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Energy Storage Systems have recently become matters of significant interest to mitigate various existing and_x000D_
imminent issues of power systems. Among different storage technologies, Power-to Gas (PtG) is considered_x000D_
the most innovative technology to store and transport energy. The development of PtG technologies creates_x000D_
potential interactions between the electrical and gas sectors, which could lead to new options for_x000D_
large-capacities utility scale energy storage. In PtG, electrical energy is used to form hydrogen or synthetic_x000D_
natural gas (SNG), which can then be injected, transported, stored, and used at a later time in the gas network_x000D_
for heating, transportation, and/or electrical generation._x000D_
In this project, a model will be developed for the optimal design and operation scheduling of PtG. The_x000D_
objective of the model is to maximize the net revenue of PtG through its optimal dispatch for the combined_x000D_
purposes of producing renewable hydrogen/SNG fuel and providing power grid services. The services will_x000D_
include frequency regulation, spinning or Operating Reserve (OR), and Demand Response (DR). Also, the_x000D_
contribution of PtG in balancing the generation and demand (ramping down) for long durations during periods_x000D_
of surplus in baseload generation and/or high penetration levels of intermittent renewable energy resources will_x000D_
be evaluated. To determine economic competitiveness of PtG compared to other energy storage systems,_x000D_
revenues from the sale of hydrogen and participation in wholesale electricity markets will be compared to the_x000D_
capital cost and operating expenses over the lifetime of the PtG equipment., program purpose french : Energy Storage Systems have recently become matters of significant interest to mitigate various existing and_x000D_
imminent issues of power systems. Among different storage technologies, Power-to Gas (PtG) is considered_x000D_
the most innovative technology to store and transport energy. The development of PtG technologies creates_x000D_
potential interactions between the electrical and gas sectors, which could lead to new options for_x000D_
large-capacities utility scale energy storage. In PtG, electrical energy is used to form hydrogen or synthetic_x000D_
natural gas (SNG), which can then be injected, transported, stored, and used at a later time in the gas network_x000D_
for heating, transportation, and/or electrical generation._x000D_
In this project, a model will be developed for the optimal design and operation scheduling of PtG. The_x000D_
objective of the model is to maximize the net revenue of PtG through its optimal dispatch for the combined_x000D_
purposes of producing renewable hydrogen/SNG fuel and providing power grid services. The services will_x000D_
include frequency regulation, spinning or Operating Reserve (OR), and Demand Response (DR). Also, the_x000D_
contribution of PtG in balancing the generation and demand (ramping down) for long durations during periods_x000D_
of surplus in baseload generation and/or high penetration levels of intermittent renewable energy resources will_x000D_
be evaluated. To determine economic competitiveness of PtG compared to other energy storage systems,_x000D_
revenues from the sale of hydrogen and participation in wholesale electricity markets will be compared to the_x000D_
capital cost and operating expenses over the lifetime of the PtG equipment., agreement title english : An Optimization Model for Design and Operation Scheduling of Power-to-Gas Energy Storage, agreement title french : An Optimization Model for Design and Operation Scheduling of Power-to-Gas Energy Storage, agreement number : EGP, agreement value : 24700.0, agreement start date : 2017-08-23, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada