Atomic mechanisms of long-term pyrolysis and gas production in cellulose-oil composite for transformer insulation

热解 纤维素 热分解 激进的 材料科学 化学工程 复合数 化学 复合材料 有机化学 工程类
作者
Guanghao Qu,Shengtao Li
出处
期刊:Applied Energy [Elsevier]
卷期号:350: 121695-121695 被引量:6
标识
DOI:10.1016/j.apenergy.2023.121695
摘要

Cellulose-oil composite (COC) insulating materials are widely used in the transformer owing to their excellent physical and chemical properties. However, long-term thermal instability of these materials severely threatens the stable operation of transformer and power system. To reveal the atomic-level mechanisms responsible for pyrolysis and gas production in COCs, reactive molecular dynamics (RMD) simulations are performed, and calculation results are compared with data from dissolved and evolved gas tests of thermally decomposed materials. First, force field parameters and a molecular model optimization method based on the experimental data-driven strategy are introduced. It is verified that this method and force field offer significant advantages over the classical forms in the simulation of COC pyrolysis. Then, the new parameters and model are used to investigate the long-term pyrolysis and gas production processes in the COC. By constructing the molecular pathways for characteristic gases, namely, CH4, C2H4, and C2H2, it is found that the recombination of CH3•, •CH2•, and H• radicals, which decomposed from the COC, contributes to the formation of CH4 and C2H2, whereas C2H4 can be directly produced via COC decomposition. A higher pyrolysis temperature inhibits the recombination process of radicals and reduces the volume percentages (VPs) of CH4 and C2H2 but promotes the decomposition process and improves the VP of C2H4. This study not only provides insight into the gas production of COCs in transformer but also paves a way to understand long-term pyrolysis of any other materials using MD simulations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6应助13nnk采纳,获得10
1秒前
程昌盛完成签到,获得积分10
1秒前
Aprilapple发布了新的文献求助10
1秒前
2秒前
华仔应助一十六采纳,获得10
2秒前
2秒前
完美世界应助王彦林采纳,获得10
2秒前
去玩儿完成签到,获得积分20
3秒前
3秒前
王宽宽宽发布了新的文献求助10
3秒前
lwq发布了新的文献求助10
3秒前
Grace完成签到,获得积分10
4秒前
华仔应助YaHaa采纳,获得10
5秒前
滕可燕发布了新的文献求助10
5秒前
爆米花应助陈甜甜采纳,获得10
6秒前
摆烂小鱼鱼完成签到 ,获得积分10
6秒前
Lucas应助韩麒嘉采纳,获得10
6秒前
6秒前
6秒前
7秒前
Niuniu完成签到,获得积分10
7秒前
裴裴驳回了珏晴应助
7秒前
8秒前
8秒前
8秒前
8秒前
Aprilapple完成签到,获得积分10
8秒前
9秒前
song发布了新的文献求助10
9秒前
兴奋的发卡完成签到 ,获得积分10
10秒前
自觉翠安应助qiuxiali123采纳,获得10
10秒前
12秒前
hezhuyou完成签到,获得积分20
12秒前
飞乐扣完成签到 ,获得积分10
12秒前
buno应助屈昭阳采纳,获得10
12秒前
优美的觅珍完成签到,获得积分20
12秒前
冯佳祥发布了新的文献求助10
12秒前
aa发布了新的文献求助10
12秒前
852应助一只肥牛采纳,获得10
13秒前
lewis17发布了新的文献求助10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5608504
求助须知:如何正确求助?哪些是违规求助? 4693127
关于积分的说明 14876947
捐赠科研通 4717761
什么是DOI,文献DOI怎么找? 2544250
邀请新用户注册赠送积分活动 1509316
关于科研通互助平台的介绍 1472836