Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process

Reasonable distribution of cooling load between chiller and ice tank is the key to realize the economical and energy-saving operation of ice-storage air-conditioning (ISAC) system. A multi-objective optimization model based on improved firefly algorithm (IFA) was established in this study to fully exploit the energy-saving potential and economic benefit of the ISAC system. The proposed model took the partial load rate of each chiller and the cooling ratio of the ice tank as optimization variables, and the lowest energy consumption loss rate and the lowest operating cost of the ISAC system were calculated. Chaotic logic self-mapping was used to initialize population to avoid falling into local optimum, and Cauchy mutation was used to increase the population’s diversity to improve the algorithm’s global search ability. The experimental results show that compared with the operation strategy based on constant proportion, particle swarm optimization (PSO) algorithm, and firefly algorithm (FA), the optimal operation strategy based on IFA can achieve more significant energy-saving and economic benefits. Meanwhile, the convergence accuracy and stability of the algorithm are significantly improved. Practical application: The optimized operation strategy of the ice-storage air-conditioning system can reduce energy loss and operating costs. The traditional operation strategies have the problems of low optimization precision and poor optimization effect. Therefore, this study presents an optimal operation strategy based on IFA. The convergence accuracy and stability of the algorithm are increased after the algorithm is improved. The operation strategy can get the maximum energy-saving effect and economic benefit of the ISAC system.

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Optimal operation strategy for subway HVAC system in transition seasons

E3S Web of Conferences ◽

10.1051/e3sconf/201911103006 ◽

2019 ◽

Vol 111 ◽

pp. 03006

Author(s):

Yue Zhang ◽

Xiaofeng Li ◽

Bin Wang ◽

Zheren Song

Keyword(s):

Energy Saving ◽

Calculation Method ◽

Operation Mode ◽

Water System ◽

Optimal Operation ◽

Operation Strategy ◽

Ventilation Mode ◽

Switching Condition ◽

System Temperature ◽

Switching Temperature

This paper mainly studied the operation strategy for subway VAC system during transition seasons. Two modes including WF-AC (Whole Fresh air- Air Conditioning) mode and B/E-V (Back/Exhausted fan-Ventilation) mode were selected based on energy saving principle. In order to decide the optimal operation mode, the calculation method of “switching temperature” was proposed. The main influencing factors of the switching condition include indoor cooling load, COP of the chilled-water-system, temperature difference of the supply air, efficiency of fan and the resistance of air duct. Also, the transfer temperature diagram is provided based on proposed calculation method, which is suitable for engineering use. The aim of this study is to regulate the operation mode and to promote energy saving in subway station.

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Research on Operation Optimization Strategy of Integrated Energy System Considering Ground Source Heat Pump

E3S Web of Conferences ◽

10.1051/e3sconf/202016501013 ◽

2020 ◽

Vol 165 ◽

pp. 01013

Author(s):

Linfeng Wang ◽

Kai Zhang ◽

Nan Xu ◽

Jingyan Wang ◽

Danyang Zhang ◽

...

Keyword(s):

Renewable Energy ◽

Energy System ◽

Heat Pumps ◽

Optimal Operation ◽

Energy Prices ◽

Operation Strategy ◽

Ground Source Heat Pumps ◽

Operation Optimization ◽

Ground Source ◽

Integrated Energy System

With the depletion of fossil energy and the popularity of renewable energy, a comprehensive energy system with the goal of improving system energy efficiency and consuming renewable energy is booming. Based on the combined heat, power, and heat generation, this paper builds a comprehensive energy system operation optimization model in conjunction with ground source heat pumps. It aims to find the optimal operation strategy based on the actual situation of the park’s load, equipment capacity, and energy prices. Using the linear programming method, a mathematical model with the best economic efficiency of the integrated energy system is established, the optimal operation strategy for a typical day is analyzed, and the annual operation is simulated. Finally, it compares with conventional energy supply methods and analyzes the contribution to the consumption of renewable energy.

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