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4. A BCS-GDE Algorithm for Multi-objective Optimization of Combined Cooling, Heating and Power Model

Author

Sun, Jiaze, Deng, Jiahui, Li, Yang, Ma, Shuaiyin, and Han, Nan

Subjects
Electrical Engineering and Systems Science - Signal Processing, Electrical Engineering and Systems Science - Systems and Control
Abstract

District energy systems can not only reduce energy consumption but also set energy supply dispatching schemes according to demand. In this paper, the combined cooling heating and power economic emission dispatch (CCHPEED) model is established with the objective of economic cost, primary energy consumption, and pollutant emissions, as well as three decision-making strategies, are proposed to meet the demand for energy supply. Besides, a generalized differential evolution with the best compromise solution processing mechanism (BCS-GDE) is proposed to solve the model, also, the best compromise solution processing mechanism is put forward in the algorithm. In the simulation, the resource dispatching is performed according to the different energy demands of hotels, offices, and residential buildings on the whole day. The simulation results show that the model established in this paper can reduce the economic cost, energy consumption, and pollutant emission, in which the maximum reduction rate of economic cost is 72%, the maximum reduction rate of primary energy consumption is 73%, and the maximum reduction rate of pollutant emission is 88%. Concurrently, BCS-GDE also has better convergence and diversity than the classic algorithms., Comment: Accepted by 2021 IEEE/IAS Industrial and Commercial Power System Asia (IEEE I&CPS Asia 2021)

Published
2021
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22. A case-practice-theory-based method of implementing energy management in a manufacturing factory.

Author

Ma, Shuaiyin, Zhang, Yingfeng, Ren, Shan, Yang, Haidong, and Zhu, Zhenfei

Subjects
FACTORY management, ENERGY management, PRODUCTION management (Manufacturing), CYBER physical systems, INTERNET of things
Abstract

Energy management effectively reduces energy consumption, improves material utilisation, minimises emissions and maximises product output during manufacturing. Thus, enterprises are implementing an energy management strategy and improving sustainable competitive advantage. With the rapid development of the Internet of Things, Cyber-Physical Systems and Big Data, sustainable smart manufacturing provides a new strategy for energy management by applying advanced information technologies. In practice, energy management is an enormous opportunity given the lack of such implementation. This paper presents a case-practice-theory-based (CPTB) method of implementing energy management in the manufacturing factory for energy saving and emission reduction. The closed-loop structure of the proposed CPTB method is designed and implemented. Then, an application of six hot-blast stoves in moulding workshops of a partner company is presented to demonstrate the proposed method. Results showed that after employing the method, the unit energy consumption of production reduced by approximately 3%, and saved energy costs reached 4%. Finally, a discussion analyses the managerial implications for ceramic and other energy-intensive manufacturing industries. [ABSTRACT FROM AUTHOR]

Published
2021
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