Minimum Energy provides software that automates consulting and planning services for energy supply in properties by utilizing open data and computer vision to create digital twins. This technology employs mathematical optimization models to identify efficient investment and operational strategies for decarbonization, enabling energy consultants and property managers to enhance the energy transition process.
Funding
Funding not disclosed
Founders
Product
Problem
Planning and optimizing energy supply for properties, including clean power, heat, and mobility solutions, is a complex process that requires significant consulting and planning effort. Traditional methods often lack automation and the ability to consider multiple factors like local weather data, regional incentives, and individual customer needs, leading to suboptimal solutions.
Solution
Minimum Energy provides a software platform that automates the planning and optimization of clean energy solutions for properties. By leveraging open data, computer vision for digital twin creation, and mathematical optimization models, the platform identifies efficient investment and operational strategies for decarbonization. The software enables energy consultants and property managers to quickly design and evaluate PV and battery storage systems, optimizing for factors like self-sufficiency, return on investment, and CO2 footprint. It considers dynamic electricity tariffs, grid charges, and various energy technologies like CHP, heat pumps, and hydrogen, providing a comprehensive approach to energy planning.
Target Audience
The primary target audience includes energy consultants, property managers, and businesses seeking to optimize their energy supply and reduce their carbon footprint.
Features
- Automated creation of digital twins using computer vision and open data sources
- Mathematical optimization algorithms for sizing and operating battery storage systems and other energy assets
- Consideration of dynamic electricity tariffs, grid charges, and regional incentives in the optimization process
- Support for various energy technologies, including PV, battery storage, CHP, heat pumps, and hydrogen
- Interactive scenario analysis to evaluate different investment and operational strategies
- Customizable reporting to showcase potential savings and environmental impact
- GIS-based planning to determine suitable areas for PV and other technologies
- Integration of legal and subsidy data (EEG, KFW, StromNEV) into the planning process