GE Power and Water
General Electric Company
SSOE has deep experience across many manufacturing sectors. The following are examples of GE Power & Water industrial / manufacturing project experience:
Punchline Process Improvement (2013)
Schenectady, New York
SSOE performed process analysis for the purpose of increasing product quality and throughput in the following punchline functional areas: stamping, deburring, final coating, and curing operation. Recommendations and costs were provided for replacement and improvement of the existing manufacturing equipment. The project included manufacturing flow diagrams and equipment selections.
Asphalt Distribution System Analysis (2012)
Schenectady, New York
SSOE performed various engineering services for an existing asphalt distribution system in the plant’s bar shop. The project included fluid flow analysis, pipe stress analysis, pipe support system redesign and reconfiguration, project scheduling, and estimates.
Powerhouse Backup Fuel Study (2012)
Schenectady, New York
SSOE developed a study investigating various fuel options for various fuel alternates for an existing 400 PSIG steam plant. The investigation included comparison of propane air mix, natural gas, and #2 and #6 fuel oils. SSOE performed preliminary design services to help develop proof of concept. The firm also performed energy and cost analysis calculations for proof for funding.
Storage Tank Building Demolition (2012)
Schenectady, New York
SSOE provided a demolition design package for an existing abandoned asphalt storage tank and mixer. The project design included demolition and rework required for segregation from the building’s steam and electrical systems. The design required development of system understanding to minimize interruption to existing manufacturing operations. The project included design, project scheduling, and estimation services.
160 PSIG Steam Stress Analysis (2011)
Schenectady, New York
SSOE performed stress analysis per ASME B31.3 for an existing 160 PSIG system to accommodate operational temperature increase. The firm investigated field conditions to verify existing valve classes and piping infrastructure. SSOE mitigated resulting stresses through system modifications and upgrades of existing components.
400 PSIG Steam Stress Analysis (2011)
Schenectady, New York
SSOE performed stress analysis per ASME B31.3 for an existing 400 PSIG system to redesign the damaged support system. The firm provided analysis with a new recommended support scheme.
De-Superheater Stress Analysis (2012)
Schenectady, New York
SSOE performed stress analysis for a new steam loop for de-superheating per ASME B31.3. The firm worked with GE to simplify system design to expansion joints and minimize impact to the 80-year-old boiler house.
Stress Analysis HPS Steam Main (2011)
Schenectady, New York
SSOE completed an analysis of an existing 600 PSIG / 750 F superheated steam piping, 14″ line size, to confirm adequate flexibility prior to modifications performed during shutdown. Autopipe software package was used to perform the analysis and recommendations were provided back to pipe fitters prior to work.
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We found ourselves in need of a more robust tool to enhance resource forecasting and staff assignment capabilities. Instead of waiting for the perfect tool, we’re building it. SSOE’s in-house technology team has developed and piloted a tool that aims to forecast optimal staff mix and duration for new projects against existing workload to better understand capacity and manage resources efficiently. Additionally, the tool will allow teams to identify gaps to optimal staff mix.
SSOE has developed a proof-of-concept to use an AI Agent to act as a Master Engineer and Architect trained in SSOE’s processes, best-known-methods, and trainings. Our data structure is being remodeled to enable better use of our proprietary knowledge to train the agent on the ‘SSOE way’.
We helped our client visualize and optimize façade design for occupant comfort—long before breaking ground through the use of the Autodesk Forma tool. It allows the designer to rapidly experiment with the building’s geometry and façade design to promote sustainability, prioritizing quality of spaces and comfort for end uses, especially in extreme climates (daylighting and microclimate analysis tools) at the project’s exact geographic location, using location-specific environmental data.
Discover how SSOE is using Autodesk Forma to improve sustainability outcomes for industrial projects: SSOE Group: Improving sustainability outcomes for industrial projects with Autodesk Forma.
Autodesk Construction Cloud (ACC) is SSOE’s enterprise-wide project delivery platform. We partner with the Autodesk Product team and have research access. Use of the AI Assistant allows our design teams, owners, and general contractors the ability to query the project specifications for quality, answers, and more rapid responses to RFIs, submittals, or issues.
SSOE is utilizing Microsoft Copilot to significantly enhance work efficiency and accuracy across various departments. Copilot is accessible to all staff after training. Key areas of application include using it as a writing assistant, for idea generation, document summarization and generation, research assistant, excel assistant, programming code assistant, language translations, product comparison and data analysis. Use of Copilot has become part of the everyday life of SSOE employees who have identified key ways it can help them become more efficient with their daily tasks as well as more accurate in their deliverables.
Today, 75% of SSOE employees are have taken the training and have access to Copilot, with a goal of 100% of employees using Copilot by October 1, 2025.
SSOE is actively piloting AI copilots that use Natural Language Processing (NLP) to streamline both design and development tasks, transforming how our teams interact with software and each other.
By integrating copilot engines into platforms like Revit and GitHub, we’re enabling users to prompt complex actions using simple, conversational commands. In Revit, this means automating tasks such as cleaning up parameter data, managing annotations and dimensions, and organizing sheets—without writing scripts. These automations can be shared across project teams, accelerating workflows and reducing manual effort.
Similarly, our internal Software Development Community is leveraging GitHub Copilot to expedite coding tasks. Developers can generate and refine code using NLP prompts, tapping into GitHub’s enterprise knowledge base to move faster from concept to implementation.
Together, these tools represent a shift from traditional, expert-driven scripting to intuitive, AI-assisted collaboration, unlocking new levels of efficiency and scalability across our projects.