期刊
JOURNAL OF THE ENERGY INSTITUTE
卷 105, 期 -, 页码 463-471出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.joei.2022.11.002
关键词
Protein -rich biomass; Catalyst -free biorefinery; Plasma electrolysis; Cleaner energy
资金
- National Natural Science Foundation of China [51877184]
- QUT Faculty Centre
- British Council Newton Fund Institutional Links Grant [623389161]
This study demonstrates a sustainable plasma electrolysis process for converting protein-rich waste into high-performance cleaner energy. The results show that the process can effectively convert protein-rich foods into liquid products with a high heating value.
As a byproduct of daily life and many modern industries, protein-rich waste or biomass is increasingly produced worldwide and emerges as an environmental burden if not properly managed. Here, we demonstrate a sustainable plasma electrolysis (PE) process for high-performance cleaner energy production from protein-rich biomass (PRB). With rapid external electricity delivery to drive electrical discharges directly into liquid, a localized and intensified reacting environment can be created, well suited to waste conversion into higher-value products, thus enabling an electrified biorefinery. Using protein-rich foods (here, pork liver and soy protein) as examples, this study investigates the PE-enabled, catalyst-free conversion of PRB in polyethylene glycol 200 (PEG 200), aiming to understand the conversion process, product compositions and migration and transformation of organic elements and metal ions. Results show that the conversion of the pork liver reaches 95.1% at 10 min, generating a liquid product with a high heating value (HHV) of 26.88 MJ/kg. Highly reactive oxygen species generated during the discharge, such as O and OH radicals, lead to the precipitation of metal ions from the feedstock and the transfer of nitrogen to the gas phase. This study provides a novel and promising Power-to-X process for the valorization of protein-rich feedstock under mild conditions.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据