Opportunity Information: Apply for DE FOA 0002251
The SMARTFARM SBIR/STTR opportunity (Funding Opportunity Number DE-FOA-0002251) is a competitive research and development funding announcement from the U.S. Department of Energy's Advanced Research Projects Agency-Energy (ARPA-E). ARPA-E was created by Congress to push forward high-potential energy technologies that are still too early for most private investment, with the broader national goals of strengthening U.S. economic and energy security, cutting energy-related emissions (including greenhouse gases), reducing reliance on imported energy, and improving energy efficiency across the economy. Awards under this announcement are issued as cooperative agreements, meaning ARPA-E expects to be actively involved during the project period, and the awards follow federal assistance rules under 2 C.F.R. Part 200 (as amended) and 2 C.F.R. Part 910.
At a practical level, SMARTFARM focuses on a major bottleneck in low-carbon biofuels: measuring and verifying greenhouse gas emissions from agricultural feedstock production at the field level. The program starts from the premise that U.S. agriculture could supply on the order of 5 quadrillion Btu of energy as biofuels, and that with improvements across the supply chain these fuels could potentially become carbon negative. But getting there depends heavily on what happens on farms, including whether producers adopt new practices and technologies that raise yields, reduce on-farm emissions tied to production, and increase carbon sequestration in soils. The problem is that farmers and feedstock producers often do not have strong incentives to optimize for carbon outcomes because current monitoring and verification approaches are too expensive and cumbersome to apply at the individual field scale.
Today, many carbon accounting and incentive systems effectively treat feedstock producers as if they all have the same emissions profile by relying on national average emissions factors. That simplification ignores the real variability that exists from one state or region to another, and especially from one field to the next, based on differences in soil, weather, inputs, management practices, and other local conditions. SMARTFARM is designed to close that data gap by funding technologies that can replace those broad averages with credible, field-level estimates of lifecycle emissions associated with feedstock production. The key output ARPA-E is looking for is the ability to quantify feedstock production lifecycle greenhouse gas emissions in units like grams of CO2-equivalent per acre, in a way that is reliable, accurate (low uncertainty), and cost-effective enough to be used at scale. The FOA highlights scalability to field sizes greater than 80 acres as an important practical target.
In terms of why ARPA-E is investing here, the underlying theory of change is that better, cheaper field-scale measurement and analytics unlock better market signals. If emissions and carbon outcomes can be verified at the field level without excessive cost, then incentive structures that already exist elsewhere in the biofuel supply chain can extend back to farmers and feedstock producers. That would make it easier to reward producers who adopt practices that reduce emissions and increase soil carbon, not just those who maximize yield. ARPA-E frames the potential impact as the creation of new market incentives for efficiency in feedstock production and carbon management, with the possibility of meaningful emissions reductions at a national level and even larger benefits if similar approaches are applied beyond biofuel feedstocks to other agricultural products.
Administratively, this opportunity was listed under CFDA 81.135, categorized as science and technology research and development, and described as having unrestricted eligibility (open to any type of entity, subject to any additional eligibility language in the full announcement). The FOA was created on December 18, 2019, with concept papers due February 19, 2020, and it projected up to about 12 awards. The listed award ceiling is $10,000,000, indicating ARPA-E anticipated funding sizeable, ambitious R and D efforts rather than small pilot-only projects.Apply for DE FOA 0002251
- The Department of Energy, Advanced Research Projects Agency Energy in the science and technology and other research and development sector is offering a public funding opportunity titled "SMARTFARM SBIR/STTR" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 81.135.
- This funding opportunity was created on Dec 18, 2019.
- Applicants must submit their applications by Feb 19, 2020 Concept Paper Submissions are due 2/19/2020.. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $10,000,000.00 in funding.
- The number of recipients for this funding is limited to 12 candidate(s).
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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SMARTFARM SBIR/STTR (DE-FOA-0002251) FAQs
1) What is the SMARTFARM SBIR/STTR funding opportunity?
SMARTFARM SBIR/STTR (Funding Opportunity Number DE-FOA-0002251) is a competitive research and development funding announcement from the U.S. Department of Energy (DOE) Advanced Research Projects Agency-Energy (ARPA-E). It supports R&D aimed at advancing high-potential energy technologies that are still too early for most private investment.
2) Which agency is offering this opportunity?
The opportunity is offered by ARPA-E, an agency within the U.S. Department of Energy.
3) Why was ARPA-E created, and how does SMARTFARM fit that mission?
ARPA-E was created by Congress to push forward high-potential energy technologies that are still too early for most private investment. Its broader national goals include strengthening U.S. economic and energy security, cutting energy-related emissions (including greenhouse gases), reducing reliance on imported energy, and improving energy efficiency across the economy. SMARTFARM aligns with these goals by targeting a key barrier to low-carbon (and potentially carbon-negative) biofuels: credible, scalable field-level measurement and verification of greenhouse gas emissions from agricultural feedstock production.
4) What problem is SMARTFARM trying to solve?
SMARTFARM focuses on the difficulty and cost of measuring and verifying greenhouse gas emissions from agricultural feedstock production at the individual field level. Current monitoring and verification approaches are described as too expensive and cumbersome to apply at field scale, which limits incentives for farmers and feedstock producers to optimize practices for carbon outcomes.
5) What is the practical focus of SMARTFARM within the biofuels supply chain?
The program targets the agricultural feedstock production stage, where farming practices, inputs, local soil and weather conditions, and management decisions can significantly affect on-farm emissions and soil carbon sequestration.
6) What is the key gap SMARTFARM aims to close?
SMARTFARM is designed to close the data gap created when carbon accounting systems rely on national average emissions factors. Those averages can mask real variability across states, regions, and especially individual fields. The program seeks technologies that provide credible field-level lifecycle emissions estimates tied to feedstock production.
7) What kinds of approaches do current systems use that SMARTFARM is trying to improve upon?
Many existing carbon accounting and incentive systems effectively treat feedstock producers as though they have the same emissions profile by using national average emissions factors, rather than field-specific data.
8) What outcomes does ARPA-E want funded projects to be able to measure?
ARPA-E is looking for the ability to quantify lifecycle greenhouse gas emissions associated with feedstock production at the field level, in reliable and accurate ways with low uncertainty, and at costs that enable use at scale.
9) In what units does the FOA describe the desired emissions output?
The FOA cites outputs such as grams of CO2-equivalent per acre (g CO2e/acre) as an example of the type of field-level lifecycle greenhouse gas metric ARPA-E wants technologies to produce.
10) What does the FOA say about scalability and field size?
The FOA highlights scalability to field sizes greater than 80 acres as an important practical target, indicating the technologies should be workable at real operational scale rather than only on small plots.
11) Why does ARPA-E believe better field-level measurement matters?
ARPA-E frames the core theory of change as: better and cheaper field-scale measurement and analytics can unlock better market signals. If emissions and carbon outcomes can be verified at field level without excessive cost, then incentive structures can extend back to farmers and feedstock producers, rewarding practices that reduce emissions and increase soil carbon rather than only maximizing yield.
12) How does SMARTFARM relate to low-carbon or carbon-negative biofuels?
The program is built on the premise that U.S. agriculture could supply on the order of 5 quadrillion Btu of energy as biofuels, and that improvements across the supply chain could potentially enable these fuels to become carbon negative. Achieving that outcome depends heavily on farm-level practices that affect yields, on-farm emissions, and soil carbon sequestration, and on the ability to measure and verify those outcomes at the field level.
13) What broader impacts does ARPA-E associate with SMARTFARM?
ARPA-E describes potential impacts including new market incentives for efficiency in feedstock production and carbon management, meaningful emissions reductions at a national level, and the possibility of extending similar measurement and verification approaches beyond biofuel feedstocks to other agricultural products.
14) What type of award instrument is used under this FOA?
Awards under this announcement are issued as cooperative agreements.
15) What does it mean that the awards are cooperative agreements?
In this FOA, a cooperative agreement means ARPA-E expects to be actively involved during the project period, rather than providing funding with minimal agency participation.
16) What federal regulations govern these awards, according to the FOA summary provided?
The awards follow federal assistance rules under 2 C.F.R. Part 200 (as amended) and 2 C.F.R. Part 910.
17) What CFDA number is associated with this opportunity?
The opportunity was listed under CFDA 81.135.
18) How is the opportunity categorized?
It is categorized as science and technology research and development.
19) Who is eligible to apply, based on the information provided?
The opportunity is described as having unrestricted eligibility (open to any type of entity), subject to any additional eligibility language in the full announcement.
20) When was the FOA created, and what were the concept paper due dates?
The FOA was created on December 18, 2019. Concept papers were due February 19, 2020.
21) About how many awards were anticipated?
The FOA projected up to about 12 awards.
22) What is the maximum award amount mentioned?
The listed award ceiling is $10,000,000.
23) What does the $10,000,000 award ceiling suggest about the expected project scope?
The award ceiling indicates ARPA-E anticipated funding sizeable, ambitious R&D efforts rather than small, pilot-only projects.
24) What is the core deliverable ARPA-E is looking for from SMARTFARM-funded efforts?
The core deliverable is credible, field-level quantification of feedstock production lifecycle greenhouse gas emissions that is reliable, accurate (low uncertainty), and cost-effective enough to be deployed at scale.
25) What makes field-level estimates important compared to regional or national averages?
Field-level estimates matter because emissions outcomes can vary substantially from field to field due to soil, weather, inputs, and management practices. National averages can hide that variability and weaken incentives for producers who adopt practices that improve carbon outcomes.
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