Grid Discovery is a cloud-based application that enables energy professionals to evaluate and plan multi-customer microgrid projects by aggregating building data and energy consumption profiles through a map-based interface. This technology addresses the challenges of incomplete data and manual calculations, allowing users to quickly assess solar potential and optimize energy distribution across clustered buildings.
Funding
$20K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Evaluating and planning multi-customer microgrid projects is difficult due to incomplete data, manual calculations, and disparate resources. This can lead to missed opportunities and costly project delays for energy professionals.
Solution
Grid Discovery is a cloud-based application designed to streamline the evaluation and planning of multi-customer microgrid projects. The platform aggregates building data and energy consumption profiles through a map-based interface, enabling users to quickly assess solar potential and optimize energy distribution across clustered buildings. By centralizing reliable data and automating calculations, Grid Discovery empowers solar and energy professionals to maximize solar projects and transform existing buildings into community powerhouses. The tool facilitates the matching of buildings with high solar potential to those with low energy consumption, enhancing project-level energy distribution and cost understanding.
Target Audience
The primary users are solar and energy professionals, including those in project development, urban planning, and energy consulting, who need to assess the feasibility and optimize the design of multi-customer microgrid projects.
Features
- Map-based interface for visualizing building data and energy consumption profiles
- Access to 350,000 energy consumption profiles for usage estimation
- Automated matching of buildings with high solar potential to those with low energy consumption
- Dynamic building clusters for project-level energy distribution analysis
- Scenario modeling to evaluate financial and technical trade-offs