化工系统产品能耗分析的设备级质量流-流评价方法

doi:10.3969/j.issn.0438-1157.2013.12.026

化工学报 ›› 2013, Vol. 64 ›› Issue (12): 4439-4445.DOI: 10.3969/j.issn.0438-1157.2013.12.026

化工系统产品能耗分析的设备级质量流-流评价方法

康丽霞¹, 郭小虎¹, 刘永忠^1,2

1. 西安交通大学化工学院化工系, 陕西西安 710049;
2. 热流科学与工程教育部重点实验室, 陕西西安 710049

收稿日期:2013-08-19 修回日期:2013-08-26 出版日期:2013-12-05 发布日期:2013-12-05
通讯作者: 刘永忠
作者简介:康丽霞（1989- ），女，博士研究生。
基金资助:
国家自然科学基金项目（21376188）；陕西省自然科学基金项目（2012JM2001）；国家自然科学基金重点项目（20936004）。

Device-level MFA-EFA assessment approach for energy consumption analysis of products in chemical processing systems

KANG Lixia¹, GUO Xiaohu¹, LIU Yongzhong^1,2

1. Department of Chemical Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China;
2. Key Laboratory of Thermo-Fluid Science and Engineering, Ministry of Education, Xi'an 710049, Shaanxi, China

Received:2013-08-19 Revised:2013-08-26 Online:2013-12-05 Published:2013-12-05
Supported by:
supported by the National Natural Science Foundation of China (21376188),the Natural Science Foundation of Shaanxi Province (2012JM2001) and the Key Program of the National Natural Science Foundation of China (20936004).

摘要/Abstract

摘要： 产品的能耗分析对于化工系统生产工艺的可持续性评价具有重要意义。对系统中各物流能耗的合理评价是准确分析和合理评价产品能耗的关键。从系统中废物流能耗的合理分配和评价出发，通过区分过程能耗类型及其对应能耗分配系数，研究了物流能耗的合理分配和评价方法。基于质量流分析和流分析方法，提出了设备级质量流（MFA）-流（EFA）分析的产品能耗评价方法。通过炼厂蜡油加氢装置5种产品的能耗分析，从装置或过程尺度、产品能耗强度和产品CO₂排放强度3个方面阐明了所提出产品能耗分析和评价方法的合理性。

关键词: 过程系统, 生产, 质量流分析, 流分析, 可持续性

Abstract: Energy consumption analysis of products is of great significance for evaluating the sustainability of processes in chemical processing systems.A reasonable evaluation of energy consumption for streams in the system is crucial to ensure the accuracy and rationality of energy allocation to products.From the view of energy consumption assessment of waste streams,a reasonable analysis of streams is examined by distinguishing the types of energy consumption and their allocating coefficients.A device-level MFA-EFA energy consumption assessment approach of the product is proposed based on mass flow analysis (MFA) and exergy flow analysis (EFA).The proposed method is used to evaluate energy consumption of five products in the vacuum gas oil hydrotreating unit in a refinery.The consistency of the proposed method is exemplified from three aspects including devise or process scales,energy consumption intensity and CO₂ emission intensity of the products.

Key words: process system, production, mass flow analysis, exergy flow analysis, sustainability

中图分类号:

TQ021.8

康丽霞, 郭小虎, 刘永忠. 化工系统产品能耗分析的设备级质量流-流评价方法[J]. 化工学报, 2013, 64(12): 4439-4445.

KANG Lixia, GUO Xiaohu, LIU Yongzhong. Device-level MFA-EFA assessment approach for energy consumption analysis of products in chemical processing systems[J]. CIESC Journal, 2013, 64(12): 4439-4445.

参考文献 20

[1]	Qian Yu (钱宇), Yang Siyu (杨思宇), Jia Xiaoping (贾小平), Li Xiuxi (李秀喜), Li Hengchong (李恒冲).Life cycle assessment and sustainability of energy and chemical processes[J].CIESC Journal (化工学报), 2013, 64 (1):133-147
[2]	Gong Junbo (龚俊波), Yang Youqi (杨友麒), Wang Jingkang (王静康).Meeting the challenges to sustainability through process integration-process system engineering review[J].Chemical Industry and Engineering Progress (化工进展), 2006, 25 (7):721-728
[3]	Burgess A, Brennan D. Application of life cycle assessment to chemical processes[J].Chemical Engineering Science, 2001, 56 (8):2589-2604
[4]	Bakshi B R, Fiksel J. The quest for sustainability:challenges for process systems engineering[J].AIChE Journal, 2003, 49 (6):1350-1358
[5]	Chen L, Huang Y. Integrated product and process control for sustainable semiconductor manufacturing[J].Chinese Journal of Chemical Engineering, 2011, 19 (2):192-198
[6]	Piluso C, Huang Y, Lou H H. Ecological input-output analysis-based sustainability analysis of industrial systems[J].Industrial & Engineering Chemistry Research, 2008, 47 (6):1955-1966
[7]	Garcí a-Serna J, Pé rez-Barrigó n L, Cocero M. New trends for design towards sustainability in chemical engineering:green engineering[J].Chemical Engineering Journal, 2007, 133 (1):7-30
[8]	Piluso C, Huang J, Liu Z, Huang Y.Sustainability assessment of industrial systems under uncertainty:a fuzzy logic based approach to short-term to midterm predictions[J].Industrial & Engineering Chemistry Research, 2010, 49 (18):8633-8643
[9]	Jayswal A, Li X, Zanwar A, Lou H H, Huang Y. A sustainability root cause analysis methodology and its application[J].Computers & Chemical Engineering, 2011, 35 (12):2786-2798
[10]	Li X, Zanwar A, Jayswal A, Lou H H, Huang Y. Incorporating exergy analysis and inherent safety analysis for sustainability assessment of biofuels[J].Industrial & Engineering Chemistry Research, 2011, 50 (5):2981-2993
[11]	Venkatesh G, Hammervold J, Bratteb H. Combined MFA-LCA for analysis of wastewater pipeline networks[J].Journal of Industrial Ecology, 2009, 13 (4):532-550
[12]	Venkatesh G, Bratteb H. Energy consumption, costs and environmental impacts for urban water cycle services:case study of Oslo (Norway)[J].Energy, 2011, 36 (2):92-800
[13]	Huo H, Wang M, Bloyd C, Putsche V. Life-cycle assessment of energy use and greenhouse gas emissions of soybean-derived biodiesel and renewable fuels[J].Environmental Science & Technology, 2008, 43 (3):750-756
[14]	Peiró L T, Mé ndez G V, Ayres R U. Material flow analysis of scarce metals:sources, functions, end-uses and aspects for future supply[J].Environmental Science & Technology, 2013, 47 (6):2939-2947
[15]	Milford R L, Pauliuk S, Allwood J M, MÜ ller D B. The roles of energy and material efficiency in meeting steel industry CO2 targets[J].Environmental Science & Technology, 2013, 47 (7):3455-3462
[16]	Comelissen R.Thermodynamics and sustainable development[D].the Netherlands:University of Twente, 1997
[17]	Lems S, van der Kooi H, de Swaan Arons J. Quantifying technological aspects of process sustainability:a thermodynamic approach[J].Clean Technologies and Environmental Policy, 2003, 5 (3/4):248-253
[18]	Dewulf J, van Langenhove H. Integrating industrial ecology principles into a set of environmental sustainability indicators for technology assessment[J].Resources, Conservation and Recycling, 2005, 43 (4):419-432
[19]	Zhou Meiling (周美玲), Jia Xiaoping (贾小平), Xiang Shuguang (项曙光), Qian Yu (钱宇).Process sustainability assessment based on exergy life cycle analysis[J].Computer and Applied Chemistry (计算机与应用化学), 2010, 27 (6):796-800
[20]	Wang M, Lee H, Molburg J. Allocation of energy use in petroleum refineries to petroleum products[J].The International Journal of Life Cycle Assessment, 2004, 9 (1):34-44

化工系统产品能耗分析的设备级质量流-流评价方法

Device-level MFA-EFA assessment approach for energy consumption analysis of products in chemical processing systems

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