Abstract This study describes a fuel quality prediction strategy that predicts the fuel quality parameter and component composition of Renewable Natural Gas (RNG) containing CH 4 , C 2 H 6 and CO 2 . Onsite measurement of the gas properties in a renewable natural gas (RNG) fuel is necessary to ensure an expected level of quality, which must be maintained for better combustion efficiency. The Wobbe Index (WI) and methane number (MN) are the natural gas quality indicators used. To predict the WI, MN, and component composition, a data set that consists of WI, MN, thermal conductivity and sound velocity of the gaseous fuel mixture as a function of its temperature, pressure and composition, was created. Through a regression analysis of the data set, a model that estimates the WI, MN and composition of the gaseous fuel mixture from its physical properties (temperature, pressure, thermal conductivity and sound velocity), was developed. The results of the study including the data set and the prediction model that can accurately estimate the WI, MN, and gas composition, is presented in this paper.

中文翻译：

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通过简单物理性质的测量预测可再生天然气的沃泊指数和甲烷值

摘要 本研究描述了一种燃料质量预测策略，该策略可预测包含 CH 4 、C 2 H 6 和 CO 2 的可再生天然气 (RNG) 的燃料质量参数和组分组成。现场测量可再生天然气 (RNG) 燃料中的气体特性对于确保预期的质量水平是必要的，必须保持预期的质量水平以提高燃烧效率。沃泊指数 (WI) 和甲烷值 (MN) 是使用的天然气质量指标。为了预测 WI、MN 和组分组成，创建了一个数据集，该数据集由 WI、MN、热导率和气体燃料混合物的声速组成，作为其温度、压力和成分的函数。通过对数据集的回归分析，一个估计WI的模型，根据其物理特性（温度、压力、热导率和声速）开发了气体燃料混合物的 MN 和成分。本文介绍了研究结果，包括可以准确估计 WI、MN 和气体成分的数据集和预测模型。