Concentrating Solar Power: Efficiently Leveraging Equilibrium Mechanisms for Engineering New Thermochemical Storage (CSP: ELEMENTS)

The summary for the Concentrating Solar Power: Efficiently Leveraging Equilibrium Mechanisms for Engineering New Thermochemical Storage (CSP: ELEMENTS) grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the Golden Field Office, which is the U.S. government agency offering this grant.

Concentrating Solar Power: Efficiently Leveraging Equilibrium Mechanisms for Engineering New Thermochemical Storage (CSP: ELEMENTS): The purpose of this Amendment 002 is to: a. Clarify the units of measurement on pages 33 and 57 for proposed systems; and b. Clarify that the ?state of the art? comparisons should be made to other Thermochemical Energy Storage (TCES) systems, rather than two-tank molten salt storage systems. The Concentrating Solar Power: Efficiently Leveraging Equilibrium Mechanisms for Engineering New Thermochemical Storage (CSP: ELEMENTS) Funding Opportunity Announcement (FOA) that is being issued by the U.S. Department of Energy (DOE) is seeking applications that integrate Thermochemical Energy Storage (TCES) systems with a minimum of 6 hours of thermal storage to be used in 1 Megawatt-electric ( 1 MWe) scale CSP electricity generation that have promise to achieve a cost target of $15 per kilowatt-hour-thermal ( $15/kWhth) are the focus of this FOA. Successful projects will culminate in an on-sun demonstration of the thermochemical reactor along with reliable projections of the full scale performance of the integrated storage system through the utilization of validated performance models developed as part of the research and development effort.