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评估全规模沼气厂的降解效率:降解指标的比较研究。

Assessment of the degradation efficiency of full-scale biogas plants: A comparative study of degradation indicators.

机构信息

Division of Biotechnology, Center for Chemistry and Chemical Engineering, Lund University, Naturvetarvägen 14, 22241 Lund, Sweden; Nova Skantek Environmental Technology (Beijing) Co., Ltd, Beijing 100027, China; School of Environment, Tsinghua University, Beijing 100084, China.

Division of Biotechnology, Center for Chemistry and Chemical Engineering, Lund University, Naturvetarvägen 14, 22241 Lund, Sweden.

出版信息

Bioresour Technol. 2017 Nov;244(Pt 1):304-312. doi: 10.1016/j.biortech.2017.07.157. Epub 2017 Jul 29.

DOI:10.1016/j.biortech.2017.07.157
PMID:28780264
Abstract

Increasing popularity and applications of the anaerobic digestion (AD) process has necessitated the development and identification of tools for obtaining reliable indicators of organic matter degradation rate and hence evaluate the process efficiency especially in full-scale, commercial biogas plants. In this study, four biogas plants (A1, A2, B and C) based on different feedstock, process configuration, scale and operational performance were selected and investigated. Results showed that the biochemical methane potential (BMP) based degradation rate could be use in incisively gauging process efficiency in lieu of the traditional degradation rate indicators. The BMP degradation rates ranged from 70 to 90% wherein plants A2 and C showed the highest throughput. This study, therefore, corroborates the feasibility of using the BMP degradation rate as a practical tool for evaluating process performance in full-scale biogas processes and spots light on the microbial diversity in full-scale biogas processes.

摘要

随着厌氧消化(AD)工艺的日益普及和应用,有必要开发和识别工具,以获得可靠的有机物降解速率指标,从而评估工艺效率,特别是在全规模、商业化沼气厂中。在这项研究中,选择并研究了四个基于不同原料、工艺配置、规模和运行性能的沼气厂(A1、A2、B 和 C)。结果表明,基于生物化学甲烷潜能(BMP)的降解率可以用来准确衡量工艺效率,而不是传统的降解率指标。BMP 降解率范围为 70%至 90%,其中 A2 和 C 厂的处理量最高。因此,本研究证实了在全规模沼气工艺中使用 BMP 降解率作为评估工艺性能的实用工具的可行性,并揭示了全规模沼气工艺中的微生物多样性。

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Bioengineering (Basel). 2021 Nov 5;8(11):176. doi: 10.3390/bioengineering8110176.