Advanced exergy analysis and exergoeconomic performance evaluation of thermal processes in an existing industrial plant

火用 工艺工程 可用能 效率低下 解算器 环境科学 工程类 数学 数学优化 微观经济学 经济
作者
Goran Vučković,Mirko Stojiljković,Mića Vukić,Gordana Stefanović,Edib M. Dedeić
出处
期刊:Energy Conversion and Management [Elsevier BV]
卷期号:85: 655-662 被引量:74
标识
DOI:10.1016/j.enconman.2014.03.049
摘要

Exergy analysis and exergoeconomics are often used to evaluate industrial energy systems performance from the thermodynamic and economic points of view. While the classical exergy analysis can be used to recognize the sources of inefficiency and irreversibilities, so called advanced exergy analysis is convenient for identifying real potential for thermodynamic improvements of the system by splitting exergy destruction into avoidable and unavoidable parts. In this paper, the advanced exergy analysis is used to identify performance critical components and the potential for exergy efficiency improvement of a complex industrial energy supply plant. This plant is a part of a rubber factory and its role is to provide steam, compressed air and cooling water to the production facilities, as well as hot water for space heating and sanitary use. The plant is first analyzed as is and the avoidable (and the unavoidable) part of exergy destruction is identified for each observed component. Then, the measures for removing the avoidable destruction are defined. Finally, the plant is analyzed as if the measures were implemented and avoidable losses eliminated. Numerical analysis is based on real data, some of which are collected during on site measurements. Large system of nonlinear and linear equations is defined and solved numerically using the Engineering Equation Solver. Results of the presented analysis show the difference in thermodynamic and economic operational parameters of the plant for the cases without and with the efficiency measures implemented, i.e. the current state and the state with the avoidable irreversibilities eliminated. Beside obvious increase of exergy efficiency and enhancement of other thermodynamic parameters, certain improvement in the economy of the plant could be achieved.

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
yuming568发布了新的文献求助10
刚刚
cdercder应助Ke采纳,获得10
刚刚
tiamr完成签到,获得积分10
1秒前
2秒前
2秒前
香妃完成签到,获得积分10
2秒前
斯文败类应助zzy采纳,获得10
3秒前
催化剂发布了新的文献求助20
3秒前
NICHENG完成签到 ,获得积分10
3秒前
桐桐应助noahxinny采纳,获得10
4秒前
4秒前
4秒前
5秒前
5秒前
rrr完成签到,获得积分10
6秒前
6秒前
Owen应助Itazu采纳,获得10
6秒前
XUAN完成签到,获得积分10
6秒前
落寞的绯完成签到 ,获得积分10
6秒前
6秒前
6秒前
烟花应助WYJ采纳,获得10
7秒前
怡神001完成签到,获得积分10
7秒前
satuo完成签到,获得积分10
7秒前
okok完成签到,获得积分20
8秒前
TWE完成签到,获得积分10
8秒前
8秒前
cotton_04关注了科研通微信公众号
8秒前
prim完成签到,获得积分10
8秒前
9秒前
慕青应助Asuna采纳,获得10
9秒前
Akim应助rrr采纳,获得10
9秒前
许小亮发布了新的文献求助10
9秒前
JiaJiaQing发布了新的文献求助10
9秒前
change完成签到,获得积分10
10秒前
小二郎应助了U采纳,获得10
10秒前
10秒前
风中小鸽子完成签到,获得积分10
10秒前
huhu发布了新的文献求助10
11秒前
WYN完成签到,获得积分10
11秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
政治传播过程中的外交与说服——以中苏友好协会为例的历史考察 566
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7580487
求助须知:如何正确求助?哪些是违规求助? 9160013
关于积分的说明 19597358
捐赠科研通 7163177
什么是DOI,文献DOI怎么找? 3265875
关于科研通互助平台的介绍 2430799
邀请新用户注册赠送积分活动 2256848