SBIR/STTR Research Award

Intelligent Utility Operator Training Platform

Award identifier 08bd635dd4ba622aab46293ff86af575698d43d9c8ddbf78199d2bbbdfed887fAwarding agency Department of Energy

Award amount

$199,999

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
INNOSYS, INC.
Proposal award date
2021-06-28
Contract end date
2022-03-27
UEI
SKSZV1JCCLJ7
Solicitation number
Not reported
Topic code
07b

Research abstract

Training power-grid operators for public utilities has proven difficult. Many trainees fail to learn quickly enough to graduate from Operator training. Despite relatively high salaries, many trainees who graduate are relatively quickly hired away from public utilities by better-paying jobs in the private sector. Public utilities need a better training pipeline for Load Operators. To develop a better training pipeline, InnoSys is applying simulation-based Learning-by-Doing training to Load Operators. This approach efficiently trains people who must understand complex systems in order to resolve faults with unexpected symptoms arising from never-before-experienced situations. Learning by doing exploits the advantages of training within a simulation in a variety of ways. First, training is conducted within the situation in which the knowledge is used—trainees not only learn how the system works, but when specific types of knowledge should be applied. Second, training requires trainees to practice thinking how to solve problems within a context that is similar to their job. If they need help to solve the problem, rather than being told the resolution, they are given hints and use them to resolve the situation—trainees construct their knowledge as they resolve problems. Third, training is constructed to minimize cognitive overload as trainees solve problems--for example, first trainees focus on solving the problem; then they focus on lessons learned. In Phase I, we will first refine methods to capture expertise from experienced, trusted Operators. This will form the basis of the training. Second, we will construct a prototype Learn-by-Doing environment. Experts, trainees, and DOE staff can observe how this training will help learners. Third, as users interact with the prototype, we will obtain feedback on training effectiveness. Commercialization success of our Experiential Load Operation Trainer will require that decision makers who select training must pay attention to (1) the metrics that show the advantages of Learning by Doing, (2) inspecting the instruction and appreciating its advantages, and/or (3) testimonials from students who have experienced Learning by Doing and experts who have observed how effectively it trains. Currently, the market size for operator training via simulation is slightly over $11B. The CAGR for the next 4 years is projected to be about 12.5%. The market size for simulator training for operators will approach $20B. Our commercialization approach is to license our technology and courses to companies that already sell training to power-grid training companies.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

73 SBIR/STTR records share this UEI (2004–2025). Reported award amounts total $33,892,460. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Energy, National Aeronautics and Space Administration

Agency intelligence

Department of Energy

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