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CBM+ and RBM with an Energy Management Approach

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0276
Agency Tracking Number: N211-074-0810
Amount: $562,026.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N211-074
Solicitation Number: 21.1
Timeline
Solicitation Year: 2021
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-07-03
Award End Date (Contract End Date): 2024-07-15
Small Business Information
400 E Simpson St Suite G1
Lafayette, CO 80026-2350
United States
DUNS: 117169643
HUBZone Owned: Yes
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Matthew Irvin
 (720) 357-8591
 matt@maplewelleng.com
Business Contact
 Matthew Irvin
Phone: (720) 357-8591
Email: matt@maplewelleng.com
Research Institution
N/A
Abstract

By adapting energy models from the utility industry, NAVSEA can create scalable energy models and meet CBM and RBM objectives. Maplewell’s Energy Management Control System (EMCS) monitors energy consumption and production, and energy models capture mechanical, electrical, material, and chemical problems and diagnose the condition of an asset or system. The EMCS harnesses energy models to monitor performance “degradation” and empowers decision makers to apply the correct maintenance strategies; decreased energy performance correlates with decreased reliability, resiliency, and efficiency. The EMCS solution also provides secure data transfer and a flexible communication interface with the Navy ERM; the EMCS acts as a supervisory control that pushes data to an “edge controller” for dynamic data processing and predictive control and then to the Cloud. Maplewell’s EMCS solution improves reliability at the asset level, builds resiliency at the system level, and ultimately improves fleet efficiency at the ship level. The EMCS architecture moves beyond reliability functions set by design standards, OEM recommendations, and standard maintenance methods; it integrates each asset’s distinctive energy model and reliability function signature and defines their impact on performance and reliability. With an EMCS, energy models can quantify the degradation by creating a digital twin of an asset, system, or ship that operating equipment uses as a reference for improvement; the EMCS also characterizes the reliability function and determines the effect of maintenance on reliability. Our model-based approach builds resiliency by enabling benchmarking to compare and identify relative performance and risk at the system level. Comparing relative performance between energy models of the same assets, systems, and ships identifies needs for maintenance or upgrades and enables shipyards to shift from reactive maintenance to predictive work packages. The EMCS also builds resiliency by defining and tracking the reliability function to quantify the risk of system failure, manage risk with maintenance, and improve upon standard practices. Changes in a ship’s mission and function also affect efficiency and cause a ship to operate outside of its intended design. By monitoring the ship’s systems (i.e., the power cycle), the EMCS can identify degradations in performance and capture longer-term trends for analysis to improve fleet efficiency and suggest new design standards.

* Information listed above is at the time of submission. *

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