Sponge develops predictive control solutions and offers design-build services for renewable energy systems. Their control platform analyzes weather, utility pricing, and other data to enable solar systems to respond intelligently. This optimization maximizes returns and enhances resilience for system owners.
Funding
Funding not disclosed
Founders
Product
Problem
Existing renewable energy systems often lack the intelligence to adapt to changing conditions, leading to suboptimal performance and reduced cost savings. Fluctuations in weather, utility pricing, and energy consumption patterns can significantly impact the efficiency and reliability of these systems.
Solution
Sponge provides a predictive control solution for renewable energy systems, optimizing energy usage and grid interaction to maximize returns and resilience. The platform leverages advanced technology, including weather forecasting, utility pricing data, and historical consumption patterns, to enable solar systems to respond intelligently. By forecasting generation and load, Sponge optimizes generator runtime, maximizes solar utilization, and minimizes fuel costs. The system also shifts flexible loads, such as water heaters and EV chargers, to capitalize on solar availability or the cheapest grid rates.
Target Audience
Sponge targets residential and commercial property owners with renewable energy systems, particularly those with solar and battery storage, seeking to maximize savings, resilience, and the value of their assets.
Features
- Predictive control algorithms that optimize energy flow based on weather forecasts, utility pricing, and consumption patterns
- Generator optimization to minimize fuel consumption and maximize solar utilization in off-grid systems
- Load shifting capabilities to maximize self-consumption of solar energy or capitalize on time-of-use rates
- Adaptive battery reserve management to balance self-consumption, outage readiness, and battery throughput
- Export shifting to maximize credit value or export headroom
- Outage prediction based on weather forecasts and utility notifications to prioritize reserve power
- Load shedding to shed non-critical loads when battery is low