Optimal operation model of integrated energy system for industrial plants considering cascade utilisation of heat energy

被引:16
|
作者
Mu, Chenlu [1 ]
Ding, Tao [1 ]
Zeng, Ziyu [1 ]
Liu, Peiyun [1 ]
He, Yuankang [2 ]
Chen, Tianen [2 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect Engn, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Shaanxi, Peoples R China
[2] State Grid Corp China, Northwest Branch, Xian 710048, Shaanxi, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
cost reduction; recycling; industrial plants; energy conservation; renewable energy sources; optimisation; energy storage; production equipment; optimal operation model; integrated energy system; energy crisis; large-scale industrial plants; heat energy resources; energy storages; individual industrial plant; energy production equipment; energy conversion equipment; energy storage equipment; multigrade heat energy; energy cascade utilisation; POWER-SYSTEM; CCHP SYSTEM; NATURAL-GAS; OPTIMIZATION; MANAGEMENT; COMPONENTS; STRATEGY; RECOVERY; EXERGY; MARKET;
D O I
10.1049/iet-rpg.2019.0651
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the energy crisis becomes more prominent, the issue of energy conservation and recycling is urgent. For large-scale industrial plants, there are various forms of heat energy resources with different grades and energy storages. This study presents the detail modelling of all equipment in the integrated energy system to specify the physical operational constraints. Furthermore, an optimisation model is set up to minimise the total cost of an individual industrial plant, with the consideration of energy production equipment, energy conversion equipment and energy storage equipment in the plant. In particular, the relationship among the heat energy with different grades is described to characterise the cascade utilisation of the heat energy. Finally, a material processing factory with multi-grade heat energy is simulated to verify the effectiveness of the proposed model with energy cascade utilisation.
引用
收藏
页码:352 / 363
页数:12
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