Recent advances in modeling and simulation of thermoelectric power generation

热电发电机 多物理 热电效应 机械工程 发电 瞬态(计算机编程) 热电冷却 热电材料 计算机科学 工程类 功率(物理) 有限元法 物理 热力学 结构工程 操作系统
作者
Ding Luo,Zerui Liu,Yuying Yan,Ying Li,Ruochen Wang,Lulu Zhang,Xuelin Yang
出处
期刊:Energy Conversion and Management [Elsevier]
卷期号:273: 116389-116389 被引量:49
标识
DOI:10.1016/j.enconman.2022.116389
摘要

Thermoelectric power generation is a renewable energy conversion technology that can directly convert heat into electricity. In recent years, a great number of theoretical models have been established to predict and optimize the performance of both thermoelectric generators and thermoelectric generator systems. In this work, a comprehensive review of theoretical models is given with a specific focus on the different modeling approaches and different application scenarios. Firstly, the basic principles of theoretical models of the thermoelectric generator are presented, including the thermal resistance model, thermal-electric numerical model, and analogy model. Then, the theoretical models of the thermoelectric generator system are reviewed in detail, including the thermal resistance-based analytical model, computational fluid dynamics models, and fluid-thermal-electric multiphysics field coupled numerical model. The methods to improve the accuracy of theoretical models are also discussed. Furthermore, the transient thermal-electric numerical model of the thermoelectric generator and the transient fluid-thermal-electric multiphysics field coupled numerical model of the thermoelectric generator system are introduced, which can take into account the dynamic characteristics of the heat source, and may remain a hot research field in the upcoming years. Generally, thermal resistance models can quickly obtain the performance of the thermoelectric generator and thermoelectric generator system under different parameters, but suffer from relatively large errors; while it is the opposite for numerical models. To design a comprehensive thermoelectric generator system for practical application, it is suggested to combine the advantages of different models, to shorten the development time and ensure optimal performance at the same time.

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
FashionBoy应助栗子采纳,获得10
刚刚
ky幻影完成签到,获得积分10
刚刚
dddd发布了新的文献求助10
刚刚
量子星尘发布了新的文献求助10
刚刚
科研通AI6应助里昂采纳,获得30
刚刚
1秒前
枯草芽孢完成签到,获得积分10
1秒前
li完成签到,获得积分20
1秒前
赘婿应助Spike采纳,获得10
1秒前
饭饭大王完成签到,获得积分10
1秒前
SY发布了新的文献求助10
2秒前
2秒前
2秒前
诚心寄灵完成签到,获得积分10
3秒前
3秒前
Halari发布了新的文献求助10
3秒前
3秒前
zoe11完成签到,获得积分10
3秒前
3秒前
FlipFlops发布了新的文献求助10
4秒前
我的miemie发布了新的文献求助10
5秒前
小木完成签到 ,获得积分10
5秒前
逢投必中完成签到 ,获得积分10
5秒前
李爱国应助俭朴的雨安采纳,获得10
5秒前
quan完成签到,获得积分10
6秒前
6秒前
6秒前
6秒前
7秒前
lj完成签到,获得积分10
7秒前
qdr关闭了qdr文献求助
7秒前
Hua发布了新的文献求助10
7秒前
7秒前
8秒前
超级翠应助天气晴朗采纳,获得10
8秒前
科研通AI6应助干净语兰采纳,获得10
8秒前
8秒前
9秒前
传奇3应助茹茹采纳,获得10
10秒前
10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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 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 5667969
求助须知:如何正确求助?哪些是违规求助? 4888527
关于积分的说明 15122487
捐赠科研通 4826782
什么是DOI,文献DOI怎么找? 2584295
邀请新用户注册赠送积分活动 1538188
关于科研通互助平台的介绍 1496482