Optimisation of Biogas Production from Co-Digestion of Organic Waste Streams of Kolhapur Municipal Corporation Using Response Surface Methodology

Kolhapur Municipal Corporation (KMC) generates approximately 488 tonnes of municipal solid waste daily, of which nearly 57% is biodegradable organic matter presently disposed of without energy recovery. This study characterises five major organic waste streams of KMC — food waste, vegetable market waste, fruit market waste, cattle dung, and slaughterhouse waste — and optimises their co-digestion ratio using Response Surface Methodology (RSM) with a D-optimal mixture design. Individual substrate characterisation revealed complementary carbon-tonitrogen (C/N) profiles, motivating a co-digestion strategy. A 38-run mixture design was executed in bench-scale CSTR digesters, yielding a statistically significant model (F = 48.52, R² = 0.981). The optimised blend — 40% food waste, 25% vegetable waste, 20% fruit waste, 10% cattle dung and 5% slaughterhouse waste — achieved a C/N ratio of 24.8:1 and a specific biogas yield of 724 mL/g VS, validated experimentally within 1% of the model prediction. A conceptual 200 MT/day plant based on this formulation shows techno-economic viability (IRR 18.4%, payback period 6.8 years). The findings demonstrate that systematic co-digestion optimisation, grounded in a rigorous waste characterisation and experimental design methodology, can substantially improve biogas recovery from municipal organic waste in Tier-2 Indian cities.

Authors

Institutions

Publication Details

Published
2026-11-05
DOI
https://doi.org/10.68648/ijte-q-2026-49-03-002
Primary Topic
Anaerobic Digestion and Biogas Production
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Optimisation of Biogas Production from Co-Digestion of Organic Waste Streams of Kolhapur Municipal Corporation Using Response Surface Methodology

Mrunalini P. Jagtap, Sudhir B. Desai, Prakash Lagamavar
Anaerobic Digestion and Biogas Production
article

Optimisation of Biogas Production from Co-Digestion of Organic Waste Streams of Kolhapur Municipal Corporation Using Response Surface Methodology

Mrunalini P. Jagtap, Sudhir B. Desai, Prakash Lagamavar
article en

Abstract

Kolhapur Municipal Corporation (KMC) generates approximately 488 tonnes of municipal solid waste daily, of which nearly 57% is biodegradable organic matter presently disposed of without energy recovery. This study characterises five major organic waste streams of KMC — food waste, vegetable market waste, fruit market waste, cattle dung, and slaughterhouse waste — and optimises their co-digestion ratio using Response Surface Methodology (RSM) with a D-optimal mixture design. Individual substrate characterisation revealed complementary carbon-tonitrogen (C/N) profiles, motivating a co-digestion strategy. A 38-run mixture design was executed in bench-scale CSTR digesters, yielding a statistically significant model (F = 48.52, R² = 0.981). The optimised blend — 40% food waste, 25% vegetable waste, 20% fruit waste, 10% cattle dung and 5% slaughterhouse waste — achieved a C/N ratio of 24.8:1 and a specific biogas yield of 724 mL/g VS, validated experimentally within 1% of the model prediction. A conceptual 200 MT/day plant based on this formulation shows techno-economic viability (IRR 18.4%, payback period 6.8 years). The findings demonstrate that systematic co-digestion optimisation, grounded in a rigorous waste characterisation and experimental design methodology, can substantially improve biogas recovery from municipal organic waste in Tier-2 Indian cities.

Vol. 49(03)
Shivaji University (IN)
Openalex Percentile: Top 35%
Anaerobic Digestion and Biogas Production
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon