Demand response application in industrial scenarios: A systematic mapping of practical implementation

Abstract

The industrial sector is the one that consumes the most energy in the world, whereas manufacturing activities play an important role in the energy consumption in the industry. The efficient scheduling/planning of production through intelligent operational methods using demand response (DR) can decrease the energy consumption and cost of a production process. However, the implementation of DR in industrial plants is more complex and challenging when compared with residential or commercial consumers. This is because the interruption of services can lead to the interruption of production and/or violation of operational constraints. In order to identify, classify, and summarize the DR applications in the industry, this work carries out an investigation in the form of a systematic mapping, comprising manufacturing and production processes that adopt this type of program. The literature review covers the period from 2013 to June 2022, with a focus on the implementation of DR in the manufacturing processes, as well as in the identification and classification of aspects related to the understanding and formulation of the problem and possible solution strategies. Unlike the existing literature that relates DR and industry, this study focuses specifically on the implementation of DR in manufacturing processes, identifying and classifying the main aspects related to problem modeling and solution strategies. After a rigorous analysis, a taxonomy is proposed based on 53 selected studies, emphasizing the deployment of DR in the industry. The taxonomy is summarized in terms of a graphical notation, highlighting the studies related to each category. Additionally, this work proposes a broader classification comprising loads and workstations in the industry.