Biogas Plants Need Process Intelligence
Small and industrial anaerobic digestion systems are sensitive to temperature, pH, loading rate, retention time, volatile solids, and instability markers such as VFA/ALK ratio.
Bioenergy infrastructure intelligence · developed in India
Plan the network. Understand the plant. Preserve the evidence.
GFIS connects national bioenergy planning with physics-guided methane intelligence, measured process evidence, operator simulation and digital-twin-ready plant engineering.
DIPEX 2026
Student-led GreenWorks recognition
Operational Stack
Level 2 Online
- Model Layer
- XGBoost / LSTM / PIML
- Plant Layer
- 48h Control Room Simulation
- Research Layer
- BITS Abstract, Reports, Journal Draft
- Deployment Layer
- AWS API + Streamlit Dashboard
Evaluator-guided refinement
PIML positioning credit.
GFIS acknowledges Prof. Mohana Murali G, BITS Pilani WILP evaluator, for suggesting and strengthening the Physics-Informed Machine Learning framing used in this dissertation prototype.
DIPEX demonstrated
16 week research frame
Secure documentation vault
Industrial simulation ready
Project Scope
Why GFIS Is Necessary
Operators Need Explainable Decisions
GFIS focuses on methane yield prediction, stability warnings, what-if simulation, and physics-guided checks so recommendations remain practical and defensible.
India Needs Scalable Green Fuel Infrastructure
The system supports agricultural waste valorization, CBG planning, decentralized energy, carbon reduction evidence, and better economics for rural energy systems.
CI Vision
Build technology that starts in Solapur, learns from real constraints, and becomes useful enough for the field.
Chatake Innoworks treats GFIS as more than a demonstration page. It is a GreenWorks research platform for clean energy, agricultural residue utilization, biogas intelligence, student-led engineering, and deployable AI systems. The company photo belongs here because GFIS is connected to the organization, its R&D discipline, and its responsibility to convert ideas into working infrastructure.
"Innovation is not the slide or the slogan; it is the system that still works after the demo is over."
Chatake Innoworks Work
From DIPEX Success To Level 2 Research Execution
GFIS began as a practical GreenWorks initiative around biogas optimization and field-level decision support. The DIPEX milestone established the project as a demonstrable sustainability technology direction. The current Level 2 work advances it into a research-grade digital twin with machine learning, physics constraints, simulation, explainability, deployment planning, and dissertation evidence.
- AI methane yield prediction using tabular and time-series models.
- Physics-guided constraints for feasible methane production boundaries.
- Soft sensor for VFA/ALK estimation and stability classification.
- Industrial simulation interface for process behavior and what-if scenarios.
- Research reports, BITS abstract, evidence logs, presentation, and execution diary.
2GFIS levels unified
16week dissertation execution frame
8+engine and report modules
1single GFIS public entry point
Working Philosophy
"What can be measured can be improved; what can be explained can be trusted; what can be deployed can create impact."
GFIS is built around this line: model the process, explain the decision, and keep the system close enough to the field that it remains useful.
GFIS Levels
Choose The Working Layer
Level 1
GFIS Engineering Journey
The preserved public GFIS website with the original positioning, features, demos, and impact story.
Open Level 1Level 2
Research Workbench
The new dissertation layer: engines, simulations, documents, reports, diary, notes, live readings, and deployment pipeline.
Open Level 2Next
Level 3 Readiness
Future plant telemetry, field deployment, operator workflow, ROS2/Gazebo simulation, and industrial integration.
Discuss CollaborationPipeline
How The Unified GFIS Site Connects
- Front PageProject explanation, scope, necessity, DIPEX success, and level selector.
- Level 1Existing public GFIS website, preserved without rewriting the original work.
- Level 2Protected research workbench for dissertation engines, notes, reports, and readings.
- APIFastAPI endpoints for prediction, simulation, plant-run, soft sensor, evaluation, and reports.