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多准则决策模型和酒店食物垃圾的热预处理以实现沼气的稳健产出:来自印度斋浦尔市的案例研究。

Multicriteria Decision Model and Thermal Pretreatment of Hotel Food Waste for Robust Output to Biogas: Case Study from City of Jaipur, India.

机构信息

Centre for Energy and Environment, Malaviya National Institute of Technology, Jaipur 302017, Rajasthan, India.

Department of Microbiology, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer 305801, Rajasthan, India.

出版信息

Biomed Res Int. 2018 Sep 16;2018:9416249. doi: 10.1155/2018/9416249. eCollection 2018.

DOI:10.1155/2018/9416249
PMID:30306090
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6165605/
Abstract

The anaerobic batch test (45 days at 37°C) was performed to describe the effect of thermal pretreatment at moderate temperatures (60, 80, and 100°C) over durations of 10 and 20 minutes on the enhancement of biogas production using hotel food waste from city of Jaipur, India. The results showed that the total cumulative biogas production with thermal pretreatment (100°C, 10 minutes) was 41% higher than the control. Also, this alternative gets first rank using multicriteria decision making model, VIKOR. This outcome was obtained due to the enhancement of degradation of organic compounds such as protein and volatile solids that occurred in the linear trend. Modified Gompertz and Logistic models were used to study the effect of different pretreatment parameters on lag time and biogas yield. Scanning electron microscopy and Fourier transform infrared spectroscopy were also employed to investigate the effect of thermal pretreatment on the physiochemical properties of food waste.

摘要

采用厌氧批式试验(37°C 下 45 天)来描述中温(60、80 和 100°C)热预处理对增强印度斋浦尔市酒店食物垃圾沼气产量的影响,热预处理持续时间分别为 10 分钟和 20 分钟。结果表明,热预处理(100°C,10 分钟)的总累计沼气产量比对照提高了 41%。此外,这种替代方案使用多准则决策模型 VIKOR 获得了第一名。这一结果是由于有机化合物(如蛋白质和挥发性固体)的降解增强所致,这种增强呈线性趋势。采用修正的 Gompertz 和 Logistic 模型研究了不同预处理参数对迟滞时间和沼气产量的影响。还采用扫描电子显微镜和傅里叶变换红外光谱法研究了热预处理对食物垃圾物理化学性质的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a04/6165605/4c9c5143a539/BMRI2018-9416249.008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a04/6165605/25ee6f77f6bd/BMRI2018-9416249.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a04/6165605/61aabd507e2c/BMRI2018-9416249.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a04/6165605/6a2dd87370f9/BMRI2018-9416249.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a04/6165605/4c9c5143a539/BMRI2018-9416249.008.jpg

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