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Anaerobic Digester Data

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DataCite Commons2025-05-11 更新2025-05-17 收录
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/VNZLYP
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A dataset containing the data from two separate studies: a pilot study spanning 2019-2020 and a full-scale study spanning 2021-2022. The studies are comprised of 1) data collected daily from an anaerobic digester facility and 2) carbon consumption rate (CCR) data taken every minute by bioelectric sensors and averaged daily. The sensors detect volatile (fatty) acids, thus providing a measurement of biological activity. The pilot study has two digesters and three CCR sensors, while the full-scale study has one digester and two CCR sensors. Diagrams of the two processes are provided. In the pilot study, microorganisms are fed daily, and fats, oils, and grease (FOG) values are higher than in the full-scale study. In the full-scale study, microorganisms are fed continuously, and the facility is more conservative with FOG. Higher amounts of FOG result in more biogas generation; however, too much FOG in the feed can cause system failure. The goal of this study is to evaluate the relationships between biogas and wastes, such as FOG and food waste (FW), in order to find the optimal levels of waste that provide maximum biogas production and prevent system imbalances.

本数据集涵盖两项独立研究的相关数据:一项为2019-2020年的先导研究,另一项为2021-2022年的全规模研究。两项研究的数据包含两部分:1)从厌氧消化器设施每日采集的监测数据;2)由生物电传感器每分钟采集、并按日平均得到的碳消耗率(Carbon Consumption Rate, CCR)数据。该类传感器可检测挥发性(脂肪)酸,以此量化表征系统生物活性。 先导研究配备2台厌氧消化器与3台CCR传感器,全规模研究则配备1台厌氧消化器与2台CCR传感器。本次研究附带两项流程的示意图。先导研究中,微生物采用每日投喂模式,且油脂(Fats, Oils, and Grease, FOG)含量高于全规模研究;全规模研究中,微生物采用连续投喂模式,设施对FOG的管控更为审慎。FOG投加量越高,沼气生成量越多,但进料中FOG过量会引发系统故障。本研究的目标为评估沼气与各类废弃物(如FOG及食物垃圾(Food Waste, FW))之间的关联,以期确定可实现最大沼气产率、同时避免系统失衡的最优废弃物投加水平。
提供机构:
Harvard Dataverse
创建时间:
2023-03-14
搜集汇总
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背景与挑战
背景概述
该数据集包含两个研究阶段的数据,重点关注厌氧消化过程中沼气生产与废物处理的关系。数据涵盖每日设施操作记录和高频率生物活性监测,旨在优化废物处理效率并防止系统故障。
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