Power Availability Analysis
Data Center Client

SSOE performed a preliminary site feasibility study for a proposed greenfield hyperscale data center campus in the Midwest. Our team evaluated available behind-the-meter power from a nearby coal-fired generation station and compared generation capacity, transmission infrastructure, and reliability performance to the client’s data center power, cooling, and uptime requirements.
SSOE assessed the site’s ability to support large-scale hyperscale deployment and determined that planned power availability of 430 MW by January 2027 could support approximately 330 MW of IT load and 100 MW of administrative and cooling load based on a projected PUE of 1.3. As part of the study, SSOE analyzed the available generation and identified power reliability as the primary constraint to achieving the client’s target uptime.
Based on the findings, our team determined the existing behind-the-meter generation availability would not meet the recommended target. Instead, the campus would need redundant prime power architecture supported by on-site generation, UPS systems, redundant fuel systems, controls, and maintenance strategies to satisfy hyperscale reliability expectations. SSOE also evaluated the potential use of Battery Energy Storage Systems (BESS) to improve resiliency, reduce generator fuel consumption, and optimize backup power performance during outages.
In addition, SSOE reviewed transmission and distribution considerations and identified the single 230 kV transmission feed as a significant reliability weakness. Furthermore, we assessed the benefits of evaluating 34.5 kV distribution in place of 13.8 kV for improved scalability and potential annual operating savings. The feasibility study also addressed structural and site development factors, including grading, frost depth, settlement, wetland considerations, and cooling strategy, with available cooling water and potential waste-heat recovery identified as advantages for campus efficiency and sustainability.
SSOE delivered a feasibility report summarizing site viability, power strategy, reliability risks, infrastructure constraints, and recommendations to support future hyperscale deployment.



Greenfield Hyperscale Data CenterAutodesk 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 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’.
SSOE is actively piloting AI Chat large language models (LLMs) or 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 chat LLM engines into platforms like Revit, we’re enabling users to prompt complex actions using simple, conversational commands. In Revit, this means automating tasks such as modeling elements, cleaning up parameter data, managing annotations and dimensions, and organizing sheets—without writing scripts. These automations and quality prompts 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 extensive Repo to move faster from concept to implementation.
Together, these tools represent a shift from traditional, expert-driven scripting to intuitive, AI-assisted automation, unlocking new levels of efficiency and scalability across our projects.
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.
SSOE is utilizing Microsoft Copilot Edge and M365 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, 100% of SSOE employees have taken the voluntary training and have access to Copilot Edge, achieving early our October 1, 2025 goal.
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.