Collection of Matlab tools belonging to the "Matlab toolbox for simulation, optimization and control of biogas plants"
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Updated
Jan 31, 2026 - MATLAB
Collection of Matlab tools belonging to the "Matlab toolbox for simulation, optimization and control of biogas plants"
A comprehensive Python framework for modeling, simulating, and optimizing agricultural biogas plants based on the Anaerobic Digestion Model No. 1 (ADM1).
A continuing education tool for farm-scale anaerobic digestion
Project on carbon capture and utilisation with respect to the challenge, "CO2-Waste to Value", organised by ekipa with association with EnBW
Employed Random Forest Models for modeling catalyst deactivation trends of gases in dry and steam reforming of biogas.
Data for 61 semi-structured interviews with biogas owners in Malawi.
A machine learning framework that predicts biogas yield from organic waste by integrating biochemical and thermodynamic principles — Monod kinetics, Arrhenius temperature dependence, and pH-activity relations — into a Gaussian Process Regression model, achieving R² of 0.968 with only 120 samples.
A large-scale integrated dairy and biogas project based on the Danish model, combining milk production, renewable energy generation, and organic fertilizer systems in a circular agro-energy platform.
Machine learning approach for feature selection and uncertainty analysis in wastewater treatment plant biogas production. Explores advanced ML techniques for optimizing renewable energy processes.
Quick-reference tables for biogas substrate properties: TS, VS, BMP, CH4% across manure, crops, biowaste, industrial.
Python-based feasibility studio for Thai renewable-energy plants - 5 engine types (WTE, RDF, RDF+WTE, Biogas, Solar PV) covering MSW chemistry, project finance (IRR/NPV/DSCR/LCOE/BCR), BOI tax cascade, T-VER carbon credits, and Monte Carlo/sensitivity analysis. Streamlit web UI.
Sustainable waste-to-biogas platform built with Django. Manages waste collection, accruals, and metered clean cooking gas distribution.
Smart Biogas Monitor: IoT Dashboard -- 3 MQ-series gas sensors (CH4, CO2, H2S) with MQTT pipeline, Node-RED, InfluxDB and Grafana
Calibration module for PyADM1ODE repository
Browser + Node calculator for biogas/biomethane yield from mixed feedstocks. 10 substrates, no build step, zero deps.
This script allows to easily calculate the expected density of a CH4, N2 and CO2 mixture (Biomethane), when loaded in liquid form, using SRK EoS.
Flask-based web app using Python and linear regression to predict biogas production from solid food waste. Input waste characteristics for instant sustainability insights.
Curated reading + tooling list for anaerobic digestion: handbooks, standards, datasets, software, policy refs.
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