Mathematical modelling, performance evaluation and exergy analysis of a hybrid photovoltaic/thermal-solar thermoelectric system integrated with compound parabolic concentrator and parabolic trough concentrator

抛物线槽 光伏系统 热的 选矿厂 火用 材料科学 可用能 热电发电机 热电效应 计算机科学 机械工程 环境科学 工艺工程 物理 电气工程 热力学 工程类 电信
作者
Sridhar Sripadmanabhan Indira,Chockalingam Aravind Vaithilingam,Kulasekharan Narasingamurthi,Ramsundar Sivasubramanian,Kok‐Keong Chong,R. Saidur
出处
期刊:Applied Energy [Elsevier BV]
卷期号:320: 119294-119294 被引量:21
标识
DOI:10.1016/j.apenergy.2022.119294
摘要

This article discusses the electrical and thermal performance of a hybrid concentrator photovoltaic thermal and solar thermoelectric generator (CPV/T-STEG) system using a compound parabolic concentrator (CPC) and a parabolic trough concentrator (PTC). For the first time, the idea of merging imaging and non-imaging concentrators for a CPV and TEG hybrid system is examined, providing an option to retrofit or remodel existing PTC-based CSP systems. The thermal resistance concept is applied to establish a steady-state mathematical model of the proposed hybrid CPV/T-STEG system. A Newton-Raphson iterative approach is employed to solve the mathematical model and compute the temperature in every layer of the hybrid system. After validation, the mathematical model is employed to evaluate the overall performance of the hybrid system. The modelling results revealed that the electrical and thermal output of the developed hybrid system were higher by 2 and 1.6 times, respectively, when compared with the prior parabolic trough-based hybrid CPV/T-STEG system described in the literature. The effects of ambient temperature, wind speed, flow rate, number of TEGs, and solar concentration ratio on the electrical and thermal performance were investigated. The optimal number of TEGs required for maximum electrical performance under different solar concentration ratios is also obtained. Finally, the hybrid system's exergy efficiency is investigated for various solar concentration ratios. The simulation results revealed that the increase in the Reynolds number from 100 to 2000 improves the net electrical and thermal efficiency by 10.21% and 5.7%, respectively. At a fixed solar concentration ratio (CCPC=4suns and WPTC=2WCPC), the electrical efficiency of TEG drops by 81.4%, but the thermal efficiency increases by 16.81%, provided that the number of TEGs is increased from 1 to 17. The highest exergy of the hybrid system is 8.36% when CCPC=2suns and WPTC=2WCPC. Due to the poor efficiency of commercial TEGs, the overall exergy efficiency of the hybrid system decreases with an increasing solar concentration ratio. In the proposed hybrid system, a fluid channel separates both the PV and TEG modules; hence the electrical conversion efficiencies of both modules are not closely related.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
李大宝完成签到,获得积分10
刚刚
Friday发布了新的文献求助10
1秒前
NexusExplorer应助小5采纳,获得10
1秒前
浮光应助半颗糖采纳,获得50
3秒前
传奇3应助绿豆饼采纳,获得10
3秒前
李大宝发布了新的文献求助10
3秒前
烟花应助科研通管家采纳,获得10
4秒前
浮游应助科研通管家采纳,获得10
4秒前
JamesPei应助汤飞柏采纳,获得10
4秒前
共享精神应助科研通管家采纳,获得10
4秒前
赘婿应助科研通管家采纳,获得10
5秒前
赫若魔应助科研通管家采纳,获得10
5秒前
5秒前
hhj完成签到 ,获得积分10
5秒前
mtt应助科研通管家采纳,获得20
5秒前
爱学习的不懂完成签到,获得积分10
5秒前
小明应助科研通管家采纳,获得10
5秒前
科研通AI2S应助科研通管家采纳,获得10
6秒前
桐桐应助科研通管家采纳,获得10
6秒前
6秒前
科研通AI5应助科研通管家采纳,获得10
6秒前
浮游应助科研通管家采纳,获得10
6秒前
科研通AI5应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
6秒前
6秒前
情怀应助科研通管家采纳,获得10
6秒前
6秒前
科研通AI6应助科研通管家采纳,获得10
6秒前
6秒前
小蘑菇应助科研通管家采纳,获得10
6秒前
7秒前
Unstoppable完成签到,获得积分10
8秒前
汉堡包应助邵大王采纳,获得10
8秒前
9秒前
9秒前
打打应助Friday采纳,获得10
10秒前
Owen应助BANG采纳,获得10
10秒前
天天发布了新的文献求助10
11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
Zeolites: From Fundamentals to Emerging Applications 1500
International Encyclopedia of Business Management 1000
Encyclopedia of Materials: Plastics and Polymers 1000
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4934001
求助须知:如何正确求助?哪些是违规求助? 4202038
关于积分的说明 13055784
捐赠科研通 3976153
什么是DOI,文献DOI怎么找? 2178833
邀请新用户注册赠送积分活动 1195113
关于科研通互助平台的介绍 1106495