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Physics-guided anaerobic-digestion intelligence
GFIS
Predict methane yield.Detect instability.Simulate plant behaviour.
A scientific-industrial platform for bioenergy planning, plant intelligence and digital-twin-ready anaerobic digestion. GFIS keeps the process physics, data provenance and model evidence visible so decisions are auditable.Scientific-industrial bioenergy planning, plant intelligence and digital-twin simulation with visible physics, data provenance and model evidence.
Feed
36.8 C
pH 7.12
CH4
Gas upgrade
Plant twin live stateStable · monitoredMethane yieldVFA/ALK loadThermal margin
GFIS Energy
The complete project universe lives on gfis.energy.
This domain is the single demonstrator for technology, engines, study, datasets, running algorithms, training evidence, reports, simulators and the engineering journey. The India domain stays focused on collaboration and public-sector explanation.
PlatformPublic GFIS product architectureIntegrated view of bioenergy planning, plant intelligence, physics-guided modelling, digital twin simulation and evidence memory.Open section Digital TwinPlant and process simulation3D plant, sensor hotspots, SCADA replay, gas path, alarms, operator panels and clearly labelled simulation versus measured records.Open section GFIS Engineering JourneyOriginal GFIS workbenchThe DIPEX-winning journey, Level 1 idea reference, Level 2 workbench, original homepage and development provenance preserved as engineering history.Open section National TwinCity, state and infrastructure planningPlant placement, plant profiles, regional records, network logic, gasification prototype and city-scale energy infrastructure direction.Open section Models/DataTraining, algorithms and datasetsEvaluator-suggested datasets, chronological splits, persistence baseline, XGBoost, LSTM windows, epochs, metrics, drift tests and model evidence.Open section ReportsDissertation and evidence packagePrintable report, dissertation documents, acknowledgements, evaluator-response record, figures, tables, citations and replayable artifacts.Open section
Platform
Three stable entry points. One connected GFIS system.
The public landing explains the product, the GFIS engineering journey preserves DIPEX-winning provenance, and the National Twin holds planning, city-network, plant, gasification and evidence simulators. The expandable GFIS Map stays available across the review package.
PrimaryGFIS landingPublic product entry with the cleaned positioning, three-home navigation and route map.JourneyGFIS engineering journeyPreserves the DIPEX-winning GFIS identity, student-led GreenWorks recognition and engineering workbench entry.EngineeringNational TwinThe new infrastructure digital twin: national planning, plant network, records, 3D plant and gasification modules.
National bioenergy planningOpens the new national infrastructure twin: planning cockpit, city bioenergy network, live-map prototype, records console, 3D plant and gasification modules.Plant intelligenceOpens the report website training chapter: public datasets, chronological splits, LSTM epochs, XGBoost/persistence baselines and decision evidence.Industrial project developmentOpens the engineering proposal workbench copied into this package: technology basis, capacity logic, funding narrative and project controls.
Connected Work
Second layer: National Twin, old workbench, proposal, evidence and dissertation.
National planning no longer points to the old Level 1 page. Old Level 1 is retained as the DIPEX idea/reference inside the original workbench.
National TwinNational infrastructure twinInteractive planning cockpit, 3D plant, industrial SCADA console, gasification prototype and network evidence.Open connected module GFIS journeyGFIS engineering journeyThe DIPEX-winning public story, GreenWorks recognition, Level 1 DIPEX idea reference and Level 2 engineering journey entry.Open connected module EvidenceScientific evidence portalTraining evidence, evaluator response, industrial data chapter, simulator memory, equations and report artifacts.Open connected module DissertationM.Tech submission shelfGuide/evaluator acknowledgement, accepted abstract, mid-sem report, end-sem working draft, presentation and research dossier.Open connected module
Digital Twin
Plant state is treated as an engineering object, not a black box output.
GFIS exposes the reactor, feed regime, thermal state, gas path, sensors, alarms and experiment memory as connected operating evidence. Simulation remains labelled as simulation; measured replay remains labelled as measured plant data.
Open connected plant architecture Feed intake
Digester mixing
Thermal loop
Sensor hotspots
Alarm propagation
Gas upgrading
Intelligence
Prediction, soft sensing and physics checks are reported together.
GFIS must earn model claims through chronological evaluation. A stronger neural engine is useful only if it beats persistence and tree baselines under leakage-safe validation and remains robust under drift.
Research
Open the full evidence website Evaluator suggestions become visible experiments.
The public report flow should show what changed after evaluator feedback: public anaerobic-digestion datasets, methane versus total-biogas separation, temporal-memory tests, temperature-drift analysis and reproducible artifacts.
Evidence
The evidence chain is the explanation.
Every figure, dataset, model comparison and simulator output must remain traceable to a source, timestamp, checksum, configuration and decision record.
About
From dissertation foundation to industrial bioenergy intelligence.
GFIS began as an accepted M.Tech dissertation direction around physics-guided AI, methane-yield prediction, VFA/ALK soft sensing and digital-twin-ready anaerobic-digestion simulation. The product direction now connects that scientific base to planning, plant operations and project-development evidence.