<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fleet Projection | IDEAS Lab at University of Michigan</title><link>https://www.gokcincinar.com/tag/fleet-projection/</link><atom:link href="https://www.gokcincinar.com/tag/fleet-projection/index.xml" rel="self" type="application/rss+xml"/><description>Fleet Projection</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 10 Oct 2025 00:00:00 +0000</lastBuildDate><image><url>https://www.gokcincinar.com/media/logo.svg</url><title>Fleet Projection</title><link>https://www.gokcincinar.com/tag/fleet-projection/</link></image><item><title>Fleet Level Operations And Technology Integration Environment</title><link>https://www.gokcincinar.com/research/floatie/</link><pubDate>Fri, 10 Oct 2025 00:00:00 +0000</pubDate><guid>https://www.gokcincinar.com/research/floatie/</guid><description>&lt;p>Novel aircraft design must be evaluated from the system level to the fleet level to fully understand the impact of new technologies, operational strategies, and long-term fleet integration. The Fleet Level Operations and Technology Integration Environment (FLOATIE) was developed to bridge this gap by coupling physics-based aircraft modeling with fleet-scale evolution and forecasting.&lt;/p>
&lt;p>FLOATIE integrates directly with the Future Aircraft Sizing Tool (FAST) to perform detailed aircraft sizing and off-design performance analysis. Technology upgrades—such as hybrid-electric propulsion, advanced aerodynamics, or more-electric subsystems—are modeled using technology impact factors that quantify changes in weight, lift-to-drag ratio, power demand, and fuel burn.&lt;/p>
&lt;p>At the fleet level, FLOATIE simulates aircraft retirement, replacement, and introduction schedules using traffic growth rates and utilization data to evolve the fleet year by year. This enables long-term forecasting of fuel consumption, emissions trends, and fleet composition under different technology and operational assumptions. The framework supports payload-range comparisons, air traffic management efficiency assessments, and probabilistic technology adoption modeling to evaluate the combined effect of emerging technologies and policy changes.&lt;/p>
&lt;p>Together, these capabilities make FLOATIE a multi-scale decision-support environment that connects detailed aircraft performance modeling with strategic fleet-planning insights—helping identify which technologies and operational improvements offer the greatest system-wide benefits for sustainable aviation.&lt;/p>
&lt;p>This work was sponsored by Collins Aerospace under the Emissions Forecasting project.&lt;/p>
&lt;p>
&lt;figure id="figure-evolution-of-baseline-fleet-with-retirements-and-aircraft-upgrades-for-30-years">
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="Fig"
src="https://www.gokcincinar.com/research/floatie/fleet_projection_animation.gif"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;figcaption>
Evolution of baseline fleet with retirements and aircraft upgrades for 30 years.
&lt;/figcaption>&lt;/figure>
&lt;/p>
&lt;p>
&lt;figure id="figure-fuel-burn-comparison-of-baseline-versus-upgraded-technology-fleet-over-30-years">
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="Fig"
src="https://www.gokcincinar.com/research/floatie/fleetfuelburn_compare.gif"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;figcaption>
Fuel burn comparison of baseline versus upgraded technology fleet over 30 years.
&lt;/figcaption>&lt;/figure>
&lt;/p></description></item></channel></rss>