SOFTWARE LICENSING OPPORTUNITY FieldSim - Maximize Agricultural Machine Efficiency with Advanced Simulation Modeling

Solicitation No.

CW-23-27

Notice Type

Special Notice

Set-Aside

nan

Posted Date

June 8, 2023

Response Deadline

June 8, 2024

NAICS Code

11AI guide

PSC / Class Code

AA13

Contract Code

8900

Issuing Office

BATTELLE ENERGY ALLIANCE–DOE CNTR

Sub-Agency

DEPARTMENT OF ENERGY

Agency

DEPARTMENT OF ENERGY

Primary Contact

Andrew Rankin

City

Idaho Falls

State

ID

ZIP Code

83415

Awardee

nan

Award Date

—

SOFTWARE LICENSING OPPORTUNITY FieldSim - Maximize Agricultural Machine Efficiency with Advanced Simulation Modeling  Leverage FieldSim, a cutting-edge agricultural simulation model, to optimize field efficiency and machinery performance without time-consuming field experiments.   Opportunity:   Idaho National Laboratory (INL), managed and operated by Battelle Energy Alliance, LLC (BEA), offers the chance to explore a license and/or collaborative research agreement to commercialize FieldSim. This technology transfer opportunity is part of a dedicated effort to convert government-funded research into job opportunities, businesses, and an improved way of life for the American people. Overview:     FieldSim offers a sophisticated solution for planning field operations as operational efficiency becomes increasingly crucial in agricultural activities. Developed with a Discrete Event Simulation (DES) approach and object-oriented programming, FieldSim provides a rigorous and flexible model for handling various field shapes and equipment characteristics. Description:    The FieldSim is a state-of-the-art simulation model that estimates field efficiency for agricultural machine movement. The model: •    Utilizes a Discrete Event Specification System (DEVS) formalism for equipment movement tracking. •    It is data-driven, spatially, and temporally detailed for accurate field efficiency estimation. •    Offers flexibility and adaptability for various shapes and physical characteristics of fields and equipment. •    Has been tested and validated with an error margin of 15% against empirical data. Benefits:           •    Estimate machinery performance without time-consuming field experiments. •    Make better managerial and technical decisions based on accurate field efficiency data. •    Field shape agnostic modeling approach with superior spatiotemporal resolution. •    More rigorous component behavior definition compared to traditional statistical methods. Applications:    •    Improve the energy efficiency of agriculture equipment. •    Extend the range of autonomous systems (drones, robots, etc.) •    Optimizing field operations planning for agricultural professionals.  •    Enhancing machinery performance in various farming scenarios.  •    Informing agribusiness consulting and advisory services •    Supporting agricultural research and development projects.  Development Status:  Alpha stage: Expert level user required, limited interface.  IP Status:     Copyright in software entitled “FieldSim - Simulation model to estimate field efficiency for agriculture machine movement,” BEA Docket No. CW-23-27. Additional Information:  Ange-Lionel Toba, L. Michael Griffel, Damon S. Hartley, Devs based modeling and simulation of agricultural machinery movement, Computers and Electronics in Agriculture, Volume 177, 2020, 105669, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2020.105669. (https://www.sciencedirect.com/science/article/pii/S0168169920306463) INL seeks to license the above intellectual property to a company with a demonstrated ability to bring such inventions to the market. Exclusive rights in defined fields of use may be available. Added value is placed on relationships with small businesses, start-up companies, and general entrepreneurship opportunities. Please visit Technology Deployment’s website at https://inl.gov/inl-initiatives/technology-deployment for more information on working with INL and the industrial partnering and technology transfer process.  Companies interested in learning more about this licensing opportunity should contact Andrew Rankin at td@inl.gov.

1. June 8, 2023Posted Date
2. June 8, 2024Proposals / Responses Due