about

At Sutubra Research, we specialize in power system and integrated energy system modelling to support strategic decision-making. We work with clients across North America—including governments, utilities, and independent power producers—providing expertise in capacity expansion modelling, renewable energy integration, and integrated resource planning. Our solutions combine open modelling frameworks with deep industry knowledge to ensure informed decision-making in an evolving energy landscape.

How We Work

• Proven Models: We apply established energy system models to deliver practical, actionable insights.
• Tailored Solutions: Every client is unique, and we customize or develop bespoke models to fit specific needs.
• Keeping Current: We collaborate with leading academics and integrate the latest research to refine our methods and ensure our models reflect industry best practices.
• Thorough Analysis: Our work is grounded in robust mathematical and computational methods to provide reliable, data-driven advice.

By bringing these elements together, we help you not just adapt to the energy transition, but lead it.

People

Cameron Wade is the Founder and Principal of Sutubra Research. He focuses on developing and applying energy system optimization models to support strategic decision-making across public and private sectors. He has contributed to national model intercomparison studies in the U.S. and Canada, and his analysis on hydrogen tax credits has been cited by U.S. lawmakers. In addition to consulting, Cameron collaborates with academic researchers, publishing peer-reviewed studies and developing open-source tools such as Temoa. He holds MSc degrees in Physics and Mathematics and previously worked at the European Space Agency’s Advanced Concepts Team.

work

Ongoing

Model Intercomparison Project

We're participating in a model intercomparison project aimed at benchmarking four leading open-source power system planning models. The goal is to identify the most cost-effective transition pathways for the U.S. power system across various scenarios, while rigorously evaluating the robustness of decarbonization plans and comparing the performance of each model.

Supported by the Sloan Foundation, the project involves four modeling platforms: Temoa (Carnegie Mellon University, NC State University, and Sutubra Research), GenX (Princeton and MIT), SWITCH (University of Hawaii and Environmental Defense Fund), and USENSYS (Environmental Defense Fund).

Model Development

We're collaborating with experts from Carnegie Mellon University and NC State University to enhance the widely-used open-source energy system model, Temoa, as well as its companion project, the Open Energy Outlook (OEO).

Our contributions primarily center on the ongoing refinement of the Temoa energy system optimization model, where we apply state-of-the-art practices from mathematical optimization and macro-energy systems. In addition, we work closely with team members to conceptualize, execute, and interpret scenarios for the OEO, a project that "examines U.S. energy futures to inform energy and climate policy efforts by applying the gold standards of policy-focused academic modeling."

Long Duration Energy Storage

We're leading a research project funded by Nova Scotia's Net Zero Emerging Concepts and Technologies Research Program. The project aims to explore the role of long-duration energy storage in decarbonizing Nova Scotia's electricity system by 2050. We're building upon the open-source Atlantic Canada Energy System model, originally developed by Sutubra Research. This endeavor is a collaborative effort with Dr. Lukas Swan of the Renewable Energy Storage Laboratory at Dalhousie University, and aims to both leverage and enhance the existing model.

Pan-Canadian Energy System Model

We're collaborating with teams from the University of Toronto and the University of Calgary to create an open-source, pan-Canadian energy system model. This advanced planning tool is designed to assess the impact of proposed policies and explore diverse national energy futures by capturing complex interactions across regions, timeframes, and sectors.

Previous (selected)

Wind Resource Characterization

We developed an interactive tool to explore and characterize Atlantic Canada's wind power resource. Outputs from this tool were then integrated into a power system capacity expansion model to deliver insights related to the future of wind power development — and the power sector transition more broadly — in the region.

ACES Model Development

We led the technical development of the Atlantic Canada Energy System (ACES) Model. Funded by both Federal and Provincial governments and orchestrated by Net-Zero Atlantic, this project culminated in a decision-support tool that empowers Atlantic Canadians to explore "what-if" scenarios concerning the long-term evolution of our energy system.

Portfolio Optimization

We supported utilities in optimizing their resource planning by delivering analysis and tools to guide investment decisions on asset types and capacities.

Project Evaluations

We've conducted in-depth techno-economic assessments of various prospective generation, transmission, and storage projects.