Amogy Accelerates Clean Energy Technology for Sustainable Heavy Transportation with HPC Built for the Cloud
Customer Company Size
SME
Region
- America
Country
- United States
Product
- Amogy’s ammonia-based power system
- Rescale HPC-as-a-Service solution
Tech Stack
- High performance computing
- Cloud-based solution
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
- Environmental Impact Reduction
Technology Category
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Transportation
Applicable Functions
- Product Research & Development
- Discrete Manufacturing
Use Cases
- Predictive Maintenance
- Energy Management System
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Amogy is a clean energy company based in Brooklyn, NY. Founded in 2020, the company is focused on developing hydrocarbon alternatives for heavy-duty transportation, which contributes 10% of greenhouse emissions annually. The company's solution combines advancements in hydrogen fuel cells with the advantages of ammonia as a fuel source. The team, led by CEO Seonghoon Woo and composed of former MIT PhDs, aims to deliver a turnkey clean energy solution that can be easily integrated into existing vehicles. By 2040, they expect to be able to reduce 10% of global greenhouse gas emissions.
The Challenge
Amogy, a clean energy company, is developing an ammonia-based power system to fuel heavy-duty transportation vehicles as a solution to reduce greenhouse gas emissions. The company relies heavily on computational research using high-performance computing to test multiple models under varying conditions. However, as the volume and fidelity of their simulations increased, they faced challenges in meeting their aggressive R&D deadlines due to long queue and solve times. They needed a high-performance computing solution that could be quickly implemented, did not require extensive IT support, and could support a variety of use cases.
The Solution
To overcome the challenges of long queue and solve times, Amogy began to search for a cloud-based high-performance computing solution. They selected Rescale as a complete HPC-as-a-Service solution due to its overall user experience. Rescale increased Amogy's engineering productivity by 3-5x by increasing their computational capacity and reducing queue times to zero. Additionally, the team discovered that they could optimize their applications by running on different hardware, ultimately reducing their infrastructure costs. Rescale's intuitive interface, end-to-end job monitoring, and easy-to-use templates helped to streamline the team's day-to-day work.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Case Study
3M Gains Real-Time Insight with Cloud Solution
The company has a long track record of innovative technology solutions. For example, 3M helps its customers optimize parking operations by automating fee collection and other processes. To improve support for this rapidly expanding segment, 3M needed to automate its own data collection and reporting. The company had recently purchased the assets of parking, tolling, and automatic license plate reader businesses, and required better insight into these acquisitions. Chad Reed, Global Business Manager for 3M Parking Systems, says, “With thousands of installations across the world, we couldn’t keep track of our software and hardware deployments, which made it difficult to understand our market penetration.” 3M wanted a tracking application that sales staff could use to get real-time information about the type and location of 3M products in parking lots and garages. So that it could be used on-site with potential customers, the solution would have to provide access to data anytime, anywhere, and from an array of mobile devices. Jason Fox, Mobile Application Architect at 3M, upped the ante by volunteering to deliver the new app in one weekend. For Fox and his team, these requirements meant turning to the cloud instead of an on-premises datacenter. “My first thought was to go directly to the cloud because we needed to provide access not only to our salespeople, but to resellers who didn’t have access to our internal network,” says Fox. “The cloud just seemed like a logical choice.”
