Techno-Economic Analysis of Grass-to-Gas Systems on Dairy Farms

Datasets from a probabilistic techno-economic comparison of biogas utilization pathways for dairy farms. The data includes baseline scenario outputs and Monte Carlo uncertainty results for anaerobic digestion systems co-digesting manure with corn stover, switchgrass, or winter rye. Authored by Camila Valderrama and last updated on 2026-05-29, this repository serves as a data companion to a BioSTEAM-based modeling framework.

Use Cases

• Compare the economic feasibility of Renewable Natural Gas (RNG) versus electricity production based on biogas pathway analysis
• Assess cost uncertainty and performance variability using Monte Carlo simulation results
• Model the impact of on-farm versus purchased feedstock strategies on system outputs
• Validate or reproduce results from the associated BioSTEAM-based modeling framework

Strengths

• Includes Monte Carlo uncertainty results, enabling probabilistic analysis
• Covers two distinct biogas utilization pathways (CHP and RNG) and two biomass supply strategies
• Released under a permissive CC-BY-4.0 license for reuse

Limitations

• Dataset size is listed as 0.0 B, indicating a potentially limited scope or placeholder entry
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Generated from techno-economic and uncertainty analyses of anaerobic digestion systems using process simulation and cost estimation.

Freshness

Last updated 2026-05-29 18:40:10; freshness should be verified