改进布谷鸟算法在乙烯工业能效分析中的应用
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摘要
通过考虑乙烯综合能耗计算方法、指标分解方法(Index Decomposition Analysis,IDA)和节能潜力分析方法,建立一种严格的乙烯能耗分析模型,并提出一种改进的布谷鸟算法应用于该模型进行辨识参数,得到乙烯生产耗能工质能源折算系数,基于能源折算系数得到综合能耗和节能量对乙烯装置进行能效评价。为了验证改进算法的有效性,对该算法在测试函数上测试,实验结果显示改进后算法具有较好寻优能力,明显优于粒子群算法和布谷鸟算法。最后,基于乙烯数据实例验证了该方法的可行性和有效性,可以很好地作为不同规模不同技术下乙烯标准能源折算系数计算的补充,为乙烯装置能效分析的准确性提供更为实用的方法。
A rigorous ethylene energy consumption analysis model has been established by considering the calculation method of ethylene comprehensive energy consumption,Index Decomposition Analysis(IDA) and energy saving potential analysis method,and an improved cuckoo algorithm is proposed to identify the parameters of the model to obtain the energy-consuming energy conversion coefficient of the ethylene production.The energy efficiency of ethylene plant is evaluated by comprehensive energy consumption and energy saving based on the identified parameters.To verify the validity of the improved algorithm,the algorithm is tested on the test function.The experimental results show that the improved algorithm has better searching ability,which is better than the particle swarm optimization and cuckoo search algorithm.Finally,based on the ethylene data example,the test results show the feasibility and effectiveness of the method.It can be used as a complement to the calculation of ethylene standard energy conversion coefficient for different scales and different technologies.It provides a more practical method for analyzing the efficiency of ethylene plant.
A rigorous ethylene energy consumption analysis model has been established by considering the calculation method of ethylene comprehensive energy consumption,Index Decomposition Analysis(IDA) and energy saving potential analysis method,and an improved cuckoo algorithm is proposed to identify the parameters of the model to obtain the energy-consuming energy conversion coefficient of the ethylene production.The energy efficiency of ethylene plant is evaluated by comprehensive energy consumption and energy saving based on the identified parameters.To verify the validity of the improved algorithm,the algorithm is tested on the test function.The experimental results show that the improved algorithm has better searching ability,which is better than the particle swarm optimization and cuckoo search algorithm.Finally,based on the ethylene data example,the test results show the feasibility and effectiveness of the method.It can be used as a complement to the calculation of ethylene standard energy conversion coefficient for different scales and different technologies.It provides a more practical method for analyzing the efficiency of ethylene plant.
引文
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[24]LI X T,YIN M H.Parameter estimation for chaotic systems using the cuckoo search algorithm with an orthogonal learning method[J].Chinese Physics B,2012,21(5):113-118.
[2]堵祖荫,王俭.建立更加严格和科学的乙烯装置能耗计算体系与方法的探讨[J].当代石油石化,2014,22(1):22-27,34.
[3]段国华.乙烯装置能耗计算行业标准介绍[J].当代石油石化,2013,21(11):4-7.
[4]朱群雄,陈希,贺彦林,等.基于PCA-DEA的乙烯装置能效分析[J].化工学报,2015,66(1):278-283.
[5]耿志强,王仲凯,朱群雄,等.基于IDA-DEA的乙烯工业能效评价方法研究及应用[J].化工学报,2017,68(3):910-915.
[6]耿志强,陈杰,韩永明.基于模糊RBF神经网络的乙烯装置生产能力预测[J].化工学报,2016,67(3):812-819.
[7]虞琛平,顾祥柏,耿志强.基于EPI的乙烯行业效率分析[J].化工学报,2012,63(9):2931-2935.
[8]朱群雄,石晓赟,顾祥柏,等.基于时序数据融合的乙烯装置能效价值研究及应用[J].化工学报,2010,61(10):2620-2626.
[9]耿志强,朱群雄,顾祥柏.基于关联层次模型的乙烯装置能效虚拟对标及应用[J].化工学报,2011,62(8):2372-2377.
[10]顾祥柏,杨吟,朱群雄.DMTO装置基于IDA与节能潜力框架的能效分析[J].化工学报,2015,66(1):259-264.
[11]方加禄.乙烯综合能耗计算[J].乙烯工业,2002,14(1):17-18.
[12]ANG B W.Monitoring changes in economy-wide energy efficiency:From energy-GDP ratio to composite efficiency index☆[J].Energy Policy,2006,34(5):574-582.
[13]ANG B W.The LMDI approach to decomposition analysis:Apractical guide[J].Energy Policy,2005,33(7):867-871.
[14]ANG B W,MU A R,ZHOU P.Accounting frameworks for tracking energy efficiency trends[J].Energy Economics,2010,32(5):1209-1219.
[15]ANG B W.LMDI decomposition approach:A guide for implementation[J].Energy Policy,2015,86:233-238.
[16]CANSINO J M,NCHEZ-BRAZA A,RODRGUEZ-ARVALO M L.Driving forces of Spain's CO 2 emissions:A LMDI decomposition approach[J].Renewable&Sustainable Energy Reviews,2015,48:749-759.
[17]SU B,ANG B W.Structural decomposition analysis applied to energy and emissions:Some methodological developments[J].Energy Economics,2012,34(1):177-188.
[18]XU X Y,ANG B W.Index decomposition analysis applied to CO 2,emission studies[J].Ecological Economics,2013,93(5):313-329.
[19]ANG B W,WANG H.Index decomposition analysis with multidimensional and multilevel energy data[J].Energy E-conomics,2015,51:67-76.
[20]YANG X S.Nature-inspired Metaheuristic Algorithms[M].Luniver Press,2008.
[21]DEB S,YANG X S.Cuckoo search via Levey flights[J].Mathematics,2010:210-214.
[22]JIN Q B,QI L F,JIANG B Y,et al.Novel improved cuckoo search for PID controller design[J].Transactions of the Institute of Measurement&Control,2015,37(6)721-731.
[23]刘长平,叶春明.求解置换流水车间调度问题的布谷鸟算法[J].上海理工大学学报,2013,35(1):17-20.
[24]LI X T,YIN M H.Parameter estimation for chaotic systems using the cuckoo search algorithm with an orthogonal learning method[J].Chinese Physics B,2012,21(5):113-118.