Journal of Guangdong University of Technology ›› 2017, Vol. 34 ›› Issue (02): 74-79.doi: 10.12052/gdutxb.160089

Previous Articles     Next Articles

Optimization of Complex Turbine Network Based on Improved System Coal Consumption Per Watt Evaluation Index

Zhu Qian-nan, Luo Xiang-long, Chen Ying   

  1. School of Material and Energy, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2016-06-21 Online:2017-03-09 Published:2017-03-09

HTML

PDF (PC)

3179

Abstract:

The optimization of steam power system with several different complex steam turbine units is of great realistic meaning for energy efficiency improvement and emission reduction. The reasonable evaluation criterion has great importance for the practical operation optimization. In order to agree with the enterprise existing evaluation index, a modified system coal consumption per watt (CCPW) evaluation index is put forward on the basis of enterprise CCPW. And a mixed integer nonlinear programming model (MINLP) of steam power system is established. Optimization of a chemical enterprise steam power system based on empirical single CCPW, rigorous single CCPW and modified system CCPW are conducted by using the proposed model and solving method. The results show that accurate system CCPW value can be obtained with the optimal model proposed in this research. The optimal system results based on empirical single CCPW is lower than rigorous single CCPW and the deviation is 3.12%~3.80%. It is also found that the modified system CCPW can fulfill the global optimization of steam power system by comparing total coal consumption between modified system CCPW optimization and total system coal consumption optimization. The biggest deviation between the objective function of modified system CCPW and total coal consumption is 0.03%. Therefore the practicability and operability of complex turbine network model and modified system CCPW evaluation index proposed are verified.

Key words: steam power system, complex turbine network, coal consumption per watt (CCPW), optimization, mixed integer nonlinear programming model(MINLP)

CLC Number: 

  • TK284.1

[1] 杨晚生, 郭开华. 分布式供能系统的定义及其内涵[J]. 广东工业大学学报, 2010, 27(3):76-82.YANG W S, GUO K H. Definition and connotation for distributed energy system[J]. Journal of Guangdong University of Technology, 2010, 27(3):76-82.
[2] 徐乐. 基于减排工艺优选的蒸汽动力系统多目标设计优化研究[D]. 广州:广东工业大学材料与能源学院, 2012.
[3] 胡嘉灏. 热电联产及冷热电三联供系统的改造方案评价与集成优化[D]. 广州:广东工业大学材料与能源学院, 2014.
[4] 孙寅茹, 罗向龙, 徐乐, 等. 工艺蒸汽加热网络与蒸汽系统的集成优化[J]. 化学工程, 2012, 40(12):60-64.SUN Y R, LUO X L, XU L, et al. Integrated optimization of steam beating network and steam system[J]. CHEMICAL ENGINEERING (CHINA), 2012, 40(12):60-64.
[5] LUO X L, ZHANG B J, CHEN Y. Operational planning optimization of steam power plants considering equipment failure in petrochemical complex[J]. Applied Energy, 2013, 112:1247-1264.
[6] LUO X L, ZHANG B J, CHEN Y, MO S P. Modeling and optimization of a utility system containing multiple extractions steam turbines[J]. Energy, 2011, 36:3501-3512.
[7] 罗向龙, 华贲. 蒸汽动力系统设计与综合优化研究综述[J]. 化工学报, 2009, 60(10):2411-2419.LUO X L, HUA B. A review on design and optimization of steam power system[J]. Journal of Chemical Industry and Engineering (China), 2009, 60(10):2411-2419.
[8] 孙寅茹. 冷热公用工程系统与换热网络的集成优化[D]. 广州:广东工业大学材料与能源学院, 2013
[9] KAYO G, OOKA R. Building energy system optimizations with utilization of waste heat from cogenerations by means of genetic algorithm[J]. Energy and Buildings, 2010, 42(7):985-991.
[10] 罗向龙, 孙寅茹, 谭立锋, 等. 蒸汽动力系统火用经济成本分摊及运行优化[J]. 化学工程, 2013, 41(7):29-33.LUO X L, SUN Y R, TAN L F, et al. Exergoeconomic cost allocation and operation[J]. CHEMICAL ENGINEERING (CHINA), 2013, 41(7):29-33.
[11] 王永真, 罗向龙, 陈颖, 等. 地热水双吸收式制冷系统的火用经济分析[J]. 广东工业大学学报, 2015, 32(1):42-49.WANG Y Z, LUO X L, CHEN Y, et al. Exergoeconomic analysis of a two-stage absorption refrigeration system using the waste geothermal water[J]. Journal of Guangdong University of Technology, 2015, 32(1):42-49.
[12] 张继东, 孟硕, 卢海, 等. 基于数学规划法的蒸汽动力系统优化运行研究[J]. 能源化工, 2015, 36(6):42-48.ZHANG J D, MENG S, LU H, et al. Study on optimization of steam power system based on mathematical program[J]. Energy Chemical Industry, 2015, 36(6):42-48.
[13] 罗向龙, 张高博, 王智, 等. 大型石化企业蒸汽动力系统运营优化[J]. 石油炼制与化工, 2009, 40(5):48-52.LUO X L, ZHANG G B, WANG Z, et al. Operational management optimization of steam power system in large petrochemical enterprise[J].Petroleum Processing and Petrochemicals, 2009, 40(5):48-52.
[14] 王北星, 田涛, 陈清林, 等. 炼化企业全厂能量系统优化节能技术研究与应用实践[J]. 当代石油石化, 2011, 19(11):13-17.WANG B X, TIAN T, CHEN Q L, et al. The research on refining enterprise all-factory energy system optimization energy-saving technology and its application practice[J]. Petroleum & Petrochemical Today, 2011, 19(11):13-17.
[15] ZHU Q N, LUO X L, ZHANG B J. Mathematical modeling, validation, and operation optimization of an industrial complex steam turbine network-methodology and application[J]. Energy. 2016. 97:191-213.
[16] 朱誉, 李千军, 冯永新, 等. 基于综合经济指标的双抽热电联产机组负荷优化分配[J]. 热力发电, 2014, 43(7):15-20.ZHU Y, LI Q J, FENG Y X, et al. Load optimal distribution for double extraction cogeneration unit based on comprehensive economic cost index[J]. Thermal Power Generation, 2014, 43(7):15-20.
[1] Wei You-xing, Luo Xiang-long, Hu Ling-feng, Chen Jian-yong, Liang Ying-zong, Yang Zhi, Chen Ying. Optimization Method of Organic Rankine Cycle System Based on Time Series Aggregation [J]. Journal of Guangdong University of Technology, 2022, 39(06): 98-106.
[2] Zhang Xin, Wang Zhen-you. A Knowledge Representation Model Based on Bi-Objective Alternate Optimization Under Probability [J]. Journal of Guangdong University of Technology, 2022, 39(04): 24-31.
[3] Wang Xiao-xia, Ouyang Lu, Zheng Shi-qi, Hu San-gen, Han Shuang. Application of GeoHash and KNN in the Optimization Selection of Shared Bicycle Stops [J]. Journal of Guangdong University of Technology, 2022, 39(03): 1-7.
[4] Wang Ti-chun, Xu Feng-kui. A Research on Interior Design of Self-driving Car Based on Extenics [J]. Journal of Guangdong University of Technology, 2022, 39(02): 1-11.
[5] Gary Yen, Li Bo, Xie Sheng-li. An Evolutionary Optimization of LSTM for Model Recovery of Geophysical Fluid Dynamics [J]. Journal of Guangdong University of Technology, 2021, 38(06): 1-8.
[6] Wang Dong, Huang Rui-yuan, Li Wei-zheng, Huang Zhi-feng. A Research on Docking Position Optimization Method of Mobile Robot for Grasping Task [J]. Journal of Guangdong University of Technology, 2021, 38(06): 53-61.
[7] Zheng Si-yuan, Cui Miao, Zhang Guang-chi. Reinforcement Learning-Based Online Trajectory Optimization for Secure UAV Communications [J]. Journal of Guangdong University of Technology, 2021, 38(04): 59-64.
[8] Chen Si-dou, Huang Zhuo-quan, Yang Xing-yu. A Multi-period Fuzzy Portfolio Optimization Model Considering Restricted Short Selling [J]. Journal of Guangdong University of Technology, 2021, 38(02): 39-47.
[9] Tang Chao-lan, Xie Yi. A Multi-objective Optimization of Milling Parameters for 6061 Aluminum Alloy [J]. Journal of Guangdong University of Technology, 2020, 37(05): 87-93.
[10] Chen Yu-peng, Gao Wei-qiang, Lu Yi-guang. A Teaching Data Optimization Method of Hand by Hand Teaching Spray Robot [J]. Journal of Guangdong University of Technology, 2020, 37(04): 21-26.
[11] Chen You-peng, Chen Jing-hua. A Short-term Load Forecasting Method Based on Support Vector Machine with Whale Optimization Parameters [J]. Journal of Guangdong University of Technology, 2020, 37(03): 75-81.
[12] Wang Yu-peng, Luo Xiang-long, Liang Jun-wei, Chen Jian-yong, Yang Zhi, Chen Ying. A Simultaneous Optimization of Working Fluid Design and System Parameters in Organic Rankine Cycle [J]. Journal of Guangdong University of Technology, 2020, 37(01): 69-80.
[13] Tan Yi-zhi, Chen Bao-ren. A Rate Optimization Design of the Cooperative Relaying System Using NOMA with Wireless Power Transfer [J]. Journal of Guangdong University of Technology, 2020, 37(01): 81-86.
[14] Wu Dan-qi, Lai Chun Sing, Yang Jun-hua, Li Xue-cong, Lai Loi Lei, Xiong Feng-jun. A Household Electricity Load Optimal Control Strategy Based on Local Particle Swarm Optimization [J]. Journal of Guangdong University of Technology, 2019, 36(06): 66-73.
[15] Tang Chao-lan, Zhang Wei-xiang, Chen Zhi-ru, Zhou De-jing, Li Long, Chu Rui-kun. Simple Descriptions of Preparation Technology of Titanium Alloy Powder for 3D Printing [J]. Journal of Guangdong University of Technology, 2019, 36(03): 91-98.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © 2017 Journal of Guangdong University of Technology
Add：729 East Dongfeng RD., Guangzhou PRC. Postcode: 510090
Tel：020-37626653,020-37626139,020-37626396
Email：xbzrb@gdut.edu.cn
Supported:Beijing Magtech