Smart Real Estate & Property
The real estate sector is a key component in achieving the targeted climate goals and the European Green Deal. Non-residential buildings (excluding industrial buildings) account for approximately 13% of the building stock in Germany but are responsible for more than one-third of building-related final energy consumption (267 TWh). There is therefore still enormous potential in this area for data-driven approaches to improving the energy efficiency of buildings.
OmegaLambdaTec develops innovative forecasting and optimization solutions to improve the energy efficiency of buildings.
OUR SERVICES AT A GLANCE
- Real-time optimization controller for decentralized energy systems in urban districts
- Digital twin simulations of buildings
- Forecasts of electricity, gas, and water consumption requirements in buildings
- Predictive Building Control
- Data-driven optimization of the real estate sales process
- Holistic analysis of building data
REAL-WORLD USE CASES WE’VE SUCCESSFULLY DELIVERED
KickStarter-G – Energy savings through intelligent building control systems
Key Challenges and Goals
The current stock of 2.7 million non-residential buildings – which account for a significant share of final energy consumption – offers a potential CO2 saving of up to 176,000 tonnes in Germany alone through energy-optimized building control systems. Currently, existing buildings of this type are rarely optimized for energy efficiency, and the comfort of building users is taken into account even more sporadically. The goal of the BMBF-funded “KMU-innovativ” project KickStarter-G is to develop a novel, end-to-end, AI-based building control solution for non-residential buildings, aimed at achieving significant energy efficiency optimization while ensuring high occupant comfort and optimized indoor air quality parameters.
Press-Release
OLT-Solution
- Digital twin simulations of buildings for modeling thermal storage capacity
- Forecast of heating and cooling demands and energy prices for the next 14 days
- Forecasts of space usage based on historical data
- Comprehensive optimization solution for reducing energy consumption while maintaining user comfort.
- Automated detection of energy sinks such as leaky or open windows, defective insulation, etc.
Benefit
- Energy-optimized dynamic building operation through multidimensional optimizations
- Improvement of individual user comfort at the room level
- Predictive control of building systems
- Energy reductions of up to 30% in non-residential buildings
