Abstract
The circular economy plays an important role in energy-intensive industries, aiming to contribute to ethical sustainable societal development. Energy demand response is a key actor for cleaner production and circular economy strategy. In the Industry 4.0 context, the advanced technologies (e.g. cloud computing, Internet of things, cyber-physical system, digital twin and big data analytics) provide numerous opportunities for the implementation of a cleaner production strategy and the development of intelligent manufacturing. This paper presented a framework of data-driven sustainable intelligent/smart manufacturing based on demand response for energy-intensive industries. The technological architecture was designed to implement the proposed framework, and multi-level demand response models were developed based on machine, shop-floor and factory to save energy cost. Finally, an application of ball mills in a slurry shop-floor of a partner company was presented to demonstrate the proposed framework and models. Results showed that the energy efficiency of ball mills can be greatly improved. The energy cost of the slurry shop-floor saved approximately 19.33% by considering electricity demand response using particle swarm optimisation. This study provides a practical approach to make effective and energy-efficient decisions for energy-intensive manufacturing enterprises.
Highlights
In the sustainable production and consumption context, the circular economy (CE) plays an important role in manufacturing industries, which maximises the recycling of resources, materials and energy
In the Industry 4.0 context, this study proposed a framework of data-driven sustainable intelligent manufacturing based on demand response (DR) to achieve CE strategy for energy-intensive industries (EIIs), aiming to contribute to ethical sustainable societal development
In the Industry 4.0 context, CE plays an important role in improving the sustainability in manufacturing industries, in EIIs
Summary
In the sustainable production and consumption context, the circular economy (CE) plays an important role in manufacturing industries, which maximises the recycling of resources, materials and energy (de Sousa Jabbour et al, 2018b). Most studies aim at explaining a balanced relationship between environmental and economic systems and ignore the ethical sustainable societal development Abbreviations. Computer-aided process planning Circular economy Cleaner production Cyber-physical system Demand response Energy-intensive industries Enterprise resource planning Internet of things Manufacturing execution system Material requirements planning Product data management Particle swarm optimization Time of use Radio-frequency identification Recommended Standard 232 Recommended Standard 485. Industry 4.0 context, CP and intelligent manufacturing provide numerous opportunities for ethical sustainable societal development (Inigo and Blok, 2019). This work aims to provide a real-life case for the integration of the increasingly popular and largely separate topics of CP, intelligent manufacturing, CE, and business ethics. EIIs cause high energy costs and environmental pollution, and the energy consumption, carbon emission and costs for EIIs must be reduced
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