Strategy to enhance the semicontinuous anaerobic digestion of food waste <i>via</i> exogenous additives: experimental and machine learning approaches-Reference-Cited by-同舟云学术

Strategy to enhance the semicontinuous anaerobic digestion of food waste via exogenous additives: experimental and machine learning approaches

Published:2023 Issue:50 Volume:13 Page:35349-35358
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Ding Chuan¹,Zhang Yi¹,Li Xindu¹,Liu Qiang¹,Li Yeqing¹^ORCID,Lu Yanjuan²,Feng Lu³,Pan Junting⁴,Zhou Hongjun¹

Affiliation:

1. State Key Laboratory of Heavy Oil Processing, Beijing Key Laboratory of Biogas Upgrading Utilization, College of New Energy and Materials, China University of Petroleum Beijing (CUPB), Beijing 102249, P. R. China

2. Beijing Fairyland Environmental Technology Co., Ltd, Beijing 100080, P. R. China

3. Division of Environment and Natural Resources, Norwegian Institute of Bioeconomy Research (NIBIO), 1431 Ås, Norway

4. State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P. R. China

Abstract

A novel additive was developed and its usage strategy was determined for regulating the anaerobic digestion (AD) of food waste (FW) through experimental and simulation approaches.

Funder

National Natural Science Foundation of China

China National Petroleum Corporation

China University of Petroleum, Beijing

State Key Laboratory of Heavy Oil Processing

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/RA/D3RA05811E

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5. Bioconversion of food waste to energy: A review