2344426
Project Grant
Overview
Grant Description
Nsf Convergence Accelerator (L): Innovative approach to monitor methane emissions from livestock using an advanced gravimetric microsensor.
The lifetime of methane in the atmosphere is relatively short compared to other major greenhouse gases; hence, reducing its emission represents a rapid option for slowing down global warming.
Methane production from dairy and beef cattle is a considerable component of anthropogenic emissions and multiple on-farm strategies, including feed-additives, are being developed to reduce this source.
The project aims to apply novel microsensor technology to quantify the emission of methane from individual cows.
When linked to custom-designed information technology systems, this will allow estimation of methane emissions at the whole-herd scale.
This will enable farmers to monitor and validate the effectiveness of methane-reduction approaches and provide the information required to access to carbon credit markets, an essential economic incentive for adoption of the emission-reduction approaches.
Effective mitigation of methane emissions from agriculture, will benefit society as a whole by attenuating global warming.
Through an expanding partnership of complementary expertise, the project aims to progress the development of a functional, robust, ear-tag mounted, methane microsensor that is sufficiently sensitive and selective to quantify concentrations in the vicinity of a cow?s muzzle, where most enteric methane is emitted.
Preliminary trials on a working dairy farm are aimed at optimizing sensor deployment times, data recovery and interpretation strategies and to validate the measurements through intercomparison with established, scientific instrumentation.
Additional partnerships will be established to design and implement data processing and interpretation systems that integrate with existing ?smart agriculture? technology.
Initial engagement with experts in carbon accounting will be consolidated during the second phase of the project to establish methodologies that effectively utilize the microsensor technology as the basis for farm-specific emissions reduction quantification.
The overarching goal is to transition an innovative microsensor technology from prototype to commercial readiness for application in the dairy and beef industries and integration in carbon credit market practices; with the intention that it will be an integral tool in the validation and promotion of mitigation strategies aimed at reducing enteric methane emissions.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Subawards are planned for this award.
The lifetime of methane in the atmosphere is relatively short compared to other major greenhouse gases; hence, reducing its emission represents a rapid option for slowing down global warming.
Methane production from dairy and beef cattle is a considerable component of anthropogenic emissions and multiple on-farm strategies, including feed-additives, are being developed to reduce this source.
The project aims to apply novel microsensor technology to quantify the emission of methane from individual cows.
When linked to custom-designed information technology systems, this will allow estimation of methane emissions at the whole-herd scale.
This will enable farmers to monitor and validate the effectiveness of methane-reduction approaches and provide the information required to access to carbon credit markets, an essential economic incentive for adoption of the emission-reduction approaches.
Effective mitigation of methane emissions from agriculture, will benefit society as a whole by attenuating global warming.
Through an expanding partnership of complementary expertise, the project aims to progress the development of a functional, robust, ear-tag mounted, methane microsensor that is sufficiently sensitive and selective to quantify concentrations in the vicinity of a cow?s muzzle, where most enteric methane is emitted.
Preliminary trials on a working dairy farm are aimed at optimizing sensor deployment times, data recovery and interpretation strategies and to validate the measurements through intercomparison with established, scientific instrumentation.
Additional partnerships will be established to design and implement data processing and interpretation systems that integrate with existing ?smart agriculture? technology.
Initial engagement with experts in carbon accounting will be consolidated during the second phase of the project to establish methodologies that effectively utilize the microsensor technology as the basis for farm-specific emissions reduction quantification.
The overarching goal is to transition an innovative microsensor technology from prototype to commercial readiness for application in the dairy and beef industries and integration in carbon credit market practices; with the intention that it will be an integral tool in the validation and promotion of mitigation strategies aimed at reducing enteric methane emissions.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Subawards are planned for this award.
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF CONVERGENCE ACCELERATOR PHASES 1 AND 2 FOR THE 2023 COHORT - TRACKS K, L, M", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23590
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
East Boothbay,
Maine
04544-5700
United States
Geographic Scope
Single Zip Code
Bigelow Laboratory For Ocean Sciences was awarded
Project Grant 2344426
worth $649,975
from National Science Foundation in January 2024 with work to be completed primarily in East Boothbay Maine United States.
The grant
has a duration of 1 year and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Project Grant was awarded through grant opportunity NSF Convergence Accelerator Phases 1 and 2 for the 2023 Cohort - Tracks K, L, M.
Status
(Complete)
Last Modified 1/21/24
Period of Performance
1/15/24
Start Date
12/31/24
End Date
Funding Split
$650.0K
Federal Obligation
$0.0
Non-Federal Obligation
$650.0K
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for 2344426
Additional Detail
Award ID FAIN
2344426
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
For-Profit Organization (Other Than Small Business)
Awarding Office
491502 INNOVATION AND TECHNOLOGY ECOSYSTEMS
Funding Office
491502 INNOVATION AND TECHNOLOGY ECOSYSTEMS
Awardee UEI
DRTAEZWWJHM8
Awardee CAGE
9M347
Performance District
ME-01
Senators
Susan Collins
Angus King
Angus King
Modified: 1/21/24