TES Analytics

Master’s Thesis

Goals

  • Financial modeling and business strategy

  • Expertise in grid/renewable energy projects

  • Develop tools to support grid scale decarbonization

Awards

  • Awarded high-distinction thesis project by Harvard Graduate School of Design + Harvard School of Engineering

Technology

  • Business/Systems Design

  • Python/HTML/CSS

  • Tableau

  • Statistics

  • UX/UI Design

Our thesis resulted in three project deliverables centered around:

Awareness

Documenting the challenge & potential of Thermal Energy Storage

The Project

TES Analytics or Thermal Energy Storage Analytics sought to evaluate and create tools for the first generation of scalable industrial electrical storage technology. The project produced tools, a business model, story telling, and proprietary data models that informed our product.

Policy

Informing policy planning essential for industrial electrification

Implementation

Improving sales pipelines for TES through tailored analytics tools

Process Timeline

Development Process

Stakeholder Mapping

Understanding all sides of the thermal energy storage stakeholder landscape was critical to our process

Theory of change

We took a sociotechnical approach to creating systems level change. Introducing aspects of awareness, implementation, and policy are critical in creating the transition to scaled industrial energy storage.

Validation of economics at scale

Extensive research and modeling went into understanding the profitability of various TES installation and sizes on the grid. We found significant savings when using our tools to refine size and location characteristics.