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clever bioTechnologies

This company provides software solutions designed to optimize the feeding processes and combined heat and power (CHP) unit operations for biogas plants. Utilizing AI and mechanistic models, the platform enables market-oriented electricity production and real-time reactor stability monitoring. The core value is increasing profitability and ensuring operational sustainability for biogas facilities facing subsidy reductions.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Biogas plants often operate inflexibly, producing a constant energy output regardless of market demand, leading to economic inefficiencies and hindering the integration of biogas into a dynamic energy grid. Fluctuating subsidies and a lack of real-time process monitoring further exacerbate these challenges, threatening the profitability and sustainability of traditional biogas facilities.

Solution

clever bioTechnologies offers a software solution that optimizes biogas plant operations by enabling flexible energy production and enhanced resource management. The software leverages hybrid models, combining advanced AI and mechanistic models, to provide optimized feeding schedules and control of combined heat and power (CHP) operations. By continuously collecting and analyzing data on feeding processes, reactor stability, and market prices, the platform provides real-time insights into plant conditions. This allows operators to align energy production with market demands, increase revenue through optimized feeding management, and ensure stable processes with real-time monitoring, ultimately reducing CO₂ emissions by replacing fossil fuels.

Target Audience

The primary target audience includes biogas plant operators seeking to enhance profitability, improve operational flexibility, and ensure long-term sustainability in a changing energy market.

Features

  • Real-time data acquisition and analysis of feeding, reactor stability, and market prices
  • Optimization algorithms using AI and mechanistic models for feeding times, CHP usage, and mixing processes
  • Real-time monitoring of reactor stability with recommendations delivered via a user-friendly app
  • Stabilitätsindikator (stability indicator) to ensure safe and continuous operation
  • Hybrid models validated in both laboratory and industrial settings
  • Potential for up to 45% higher revenues compared to static operation through optimized feeding and electricity sales during high demand
This profile is AI-generated and may contain inaccuracies.