Data for: Feasibility of Grass-to-Gas on Dairy Farms: A Probabilistic Techno-Economic Comparison of Renewable Natural Gas and Electricity Production

This repository contains datasets generated from techno-economic and uncertainty analyses of anaerobic digestion (AD) systems using dairy manure with lignocellulosic biomass co-digestion (corn stover, switchgrass, and winter rye). The dataset includes baseline scenario outputs, Monte Carlo uncertainty results, and supporting reports for two biogas utilization pathways: combined heat and power for electricity production and renewable natural gas via biogas upgrading.
Scenarios cover two biomass supply strategies: on-farm production and externally purchased feedstocks. The underlying model includes detailed process simulation, cost estimation, and uncertainty analysis. This repository provides only the resulting datasets and summary outputs used in the associated publication. It is intended as a data companion to the BioSTEAM-based modeling framework, enabling reproducibility of results for farm-scale AD configurations under multiple feedstock and supply conditions.

本仓库包含针对采用奶牛粪便与木质纤维素生物质共消化工艺的厌氧消化（anaerobic digestion，AD）系统开展技术经济与不确定性分析所生成的数据集。该数据集涵盖两类沼气利用路径的基准情景输出、蒙特卡洛不确定性分析结果与支撑报告：分别为用于电力生产的热电联产路径，以及通过沼气提质制备可再生天然气的路径。
情景设置涵盖两种生物质供给策略：农场自产原料与外部采购原料。该研究依托的模型包含详细的流程模拟、成本核算与不确定性分析模块。本仓库仅提供关联学术出版物中所使用的最终数据集与汇总输出结果，旨在作为基于BioSTEAM的建模框架的数据配套资源，支持在多种原料与供给条件下农场规模厌氧消化系统配置的研究结果可复现。