Naval Postgraduate School
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Faces of NPS: Mathias Kölsch, PhD
No full textFaces of NPS features interviews spotlighting the students, faculty, staff and alumni of our Nation's premier defense education and research institution
Parallel Content Authoring Method and System for Procedural Guidance
No full textThis disclosure and exemplary embodiments described herein provide a Parallel Content Authoring Method and Tool for Procedural Guidance, and a Remote Expert Method and System Utilizing Quantitative Quality Assurance in Mixed Reality. The implementation described herein is related to the generation of content/instruction set that can be viewed in different modalities, including but not limited to mixed reality, VR, audio text, however it is to be understood that the scope of this disclosure is not limited to such application
AN ANALYSIS OF SMALL WIND TURBINES AS A COMPONENT OF CRITICAL INFRASTRUCTURE MICROGRIDS TO IMPROVE ENERGY RESILIENCE AT U.S. NAVY INSTALLATIONS
No full textThe Department of Defense (DoD) is increasingly adopting microgrids to enhance energy resilience and security at its installations. Microgrids, which integrate a range of distributed energy resources (DERs), are essential for meeting the complex and evolving electrical demands of DoD facilities. Despite the growing adoption of DERs, small wind turbines remain underutilized and understudied, primarily due to their sensitivity to technical specifications and local wind conditions. This study presents a MATLAB-based framework for evaluating small wind turbine performance, incorporating site-specific wind distributions and turbine characteristics to calculate capacity factors for selected models across multiple locations. Capacity factor analysis enables estimation of the number of turbines and associated costs required to achieve specific power capacities. A case study at the Souda Bay naval installation applies these results to compare various microgrid configurations, assessing the effectiveness of different DER combinations in meeting real electrical loads. The findings reveal that small wind turbines are generally less efficient than larger turbines and other DER options, offering critical insights for optimizing microgrid design and resource allocation in military environments. This research provides a robust methodology and practical recommendations for integrating renewable energy sources into DoD microgrids.Distribution Statement A. Approved for public release: Distribution is unlimited.Outstanding ThesisEnsign, United States Nav
ANALYSIS OF COST VARIANCE WITHIN DEFENSE ACQUISITION PROGRAMS
No full textThe Government Accountability Office has published multiple reports stating that defense acquisition programs (DAPs) often exceed original cost estimates, take longer than planned, and produce fewer units with less capabilities than promised. Changes in cost, schedule, and performance within DAPs are captured and submitted to Congress in Selected Acquisition Reports. The data and information contained in these reports has been made available through multiple information systems at the secretary of defense and military department levels. The Department of Defense is currently exploring new approaches to utilizing existing data and systems to improve the effectiveness of the data being reported to Congress and provide better oversight to DAP management. The purpose of this study is to understand, using a text analysis approach, how different factors affect cost variance for DAPs. This research aims to provide the following: (a) a review of policies and reports affecting data collection on DAPs; (b) a data analysis process wherein we imported, cleaned, transformed, modeled, and communicated specific data; and (c) recommendations that may be used to improve data collection and reporting among MDAPs.Distribution Statement A. Approved for public release: Distribution is unlimited.Outstanding ThesisMaster Sergeant, United States Marine CorpsLieutenant Commander, United States Nav
SURGE Newsletter Summer 2025
Full text linkThis quarterly publication is intended to provide easy access to EAG activities, energy-related projects across the DOD, NATO, Academia, and industry, and provide a pathway for student energy thesis research. EAG is one of the cross-cutting Academic Groups at NPS. Our mission is to create a Center of Excellence for Defense Energy, and we do this across three pillars that will be highlighted in future newsletters: curriculum, research and outreach
Faces of NPS: Lt.j.g. Mustafa Emre Aydınlık, Turkish Navy
No full textFaces of NPS features interviews spotlighting the students, faculty, staff and alumni of our Nation's premier defense education and research institution
CHALLENGES TO INNOVATION AT THE NAVAL SURFACE WARFARE CENTERS
No full textThe Navy’s Naval Surface Warfare Centers are slated for providing innovative, cost-effective solutions for the Warfighter, but how innovative are the Centers compared to industry and commercial, and how can the Centers be improved? This study explores the topic with a mixed qualitative and quantitative analysis focused on a scoped definition of innovation and successful innovation practices with source material solely from publicly available sources, and ties together a comparative picture of government versus successful commercial entities. The innovation definitions and theories reveal areas of concentration like funding and leadership buy-in, which are poled from various sources including National Defense Appropriations Acts, acquisition training materials, and years of Government Accountability Office studies to compare the Centers, other government innovation focused entities, and successful commercial entities against, thus providing multiple layers of comparison. The study groups and categorizes observations into a scoring table revealing the Warfare Centers are deeply constrained, and provides a basis of measure for the current state and future measures that could be used to understand the innovation potential of the Centers or other entities. Additional recommendations are provided to enable realignment of the Warfare Centers and other government research entities to successful innovative organizations.Distribution Statement A. Approved for public release: Distribution is unlimited.Civilian, Department of the Nav
PREDICTING FILL RATES FOR NAVSUP SITE DEMAND-BASED LEVEL INVENTORY OPTIMIZATION MODEL
No full textThe Site Demand-Based Level Inventory Optimization Model (SIOM) helps Naval Supply System Command (NAVSUP) planners optimize site inventory levels by evaluating various (s,Q) pairs (reorder points and quantities) for tens of thousands of inventory items. Each (s,Q) candidate requires a fill rate (FR) estimate, determined via a discrete-event SIOM simulation (SIOM-Sim). However, SIOM-Sim runtime grows very quickly with the number of inventory items and (s,Q) combinations, delaying NAVSUP planners’ ability to make timely, data-driven decisions when incorporating updated historical demand. This thesis considers using predictive analysis techniques to predict the fill rate for non-simulated (s,Q) candidates, using simulated (s,Q) candidates as the training data. Four different techniques are used: K-Nearest Neighbors (KNN), neural networks, gradient boosted decision trees, and multiple linear regression. Two techniques, KNN and gradient boosted decision trees, emerge as highly accurate and robust, with errors under 1%, on average. We recommend using KNN due to its simplicity and understandability. With a viable alternative to using a simulation to predict fill rates, the optimization process can be drastically accelerated, which will allow planners to improve inventory readiness.Distribution Statement A. Approved for public release: Distribution is unlimited.Ensign, United States NavyNAVSUP-WSS, Mechanicsburg, P
