Research on Economic Optimization Scheduling for Coke Oven Gas-based Multi-energy Combined Supply System

doi:10.12068/j.issn.1005-3026.2024.11.007

Abstract

Abstract:

To effectively utilize by?product coke oven gas and meet the diverse energy demands of users， a distributed multi?energy cogeneration system fueled by coke oven gas was developed. The system incorporates primary energy consumption， environmental compensation costs， and operational and maintenance expenses to create an optimized operational model for efficient energy collaboration. Constraints were established to ensure that user demands are met and equipment is utilized efficiently. An enhanced genetic algorithm was employed to minimize daily operational costs， with optimized scheduling performed for typical days across different seasons. The results demonstrate that the multi?energy supply system is economically viable， with operational costs recorded at 3 480.17， 4 752.25， 3 168.23， and 4 464.02 yuan for typical days in spring， summer， autumn， and winter， respectively. The system’s energy comprehensive utilization efficiencies reached 65.10%， 57.82%， 67.25%， and 70.12% for the same periods. Although the energy utilization efficiency is slightly lower compared to traditional natural gas?fueled CCHP system， the proposed system offers cost advantages and aligns with China’s “more coal and less gas” energy supply situation.

Key words: coke oven gas, multi?energy combined supply system, operational cost, optimal scheduling

CLC Number:

TK 123

Ming-jie FENG, Sheng-hui LIU, Yu-qian XIA, Cheng MAO. Research on Economic Optimization Scheduling for Coke Oven Gas-based Multi-energy Combined Supply System[J]. Journal of Northeastern University(Natural Science), 2024, 45(11): 1571-1578.

Figures/Tables 8

Fig. 1 Sketch of coke oven gas?based multi?energy combined supply system

Table 1 Comparison between coke oven gas and natural gas

名称		体积分数/%									LHV	L_air
名称	CH₄	C₂H₄	C₂H₆	C₃H₈	H₂	CO	H₂S	CO₂	O₂	N₂	MJ·m^-3	m³·m^-3
焦炉煤气	28.25	1.85	—	—	56.12	3.85	0.01	5.82	0.6	7.6	17.75	4.47
天然气	87.08	—	7.83	2.94	—	—	0.03	0.65	—	1.47	39.02	11.14

Table 2 Emission coefficient of pollutants

设备	CO₂	SO₂	NO _x
燃气轮机	715.3	0.003 6	0.001 9
燃气锅炉	365	0.002	0.001
外电网	921	1.924	1.632

Fig. 2 Load demand of typical days in four seasons

Fig. 3 Optimal scheduling results of system

Fig. 4 Refrigeration load of LiBr and electric refrigeration unit

Fig. 5 Comparison of daily average operating costs of systems using different fuels

Fig.6 Comparison of overall energy utilization efficiency of systems using different fuels

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