Enhancing Energy Management System using Internet-of-things Sensors and Energy Simulation -A Case Study of Industrial Ventilation

Abstract

There is a need for energy conservation in order to achieve the 2030 Sustainable Development Goals. Many studies have demonstrated that delivering real-time assessment and energy saving goals are some of the most effective practices to reduce energy consumption and can be achieved by utilizing energy management. However, there remains a sizable gap in the development of the energy management and energy-efficiency evaluation for complicated manufacturing processes. With the current development of new technologies such as Internet of Things, big-data analytics, and machine learning, improvements can be made to further enhance the effectiveness of the energy management system. In this study, a real-time monitoring system that utilizes IoT sensors, cloud-based big data, and grey-box modeling is proposed. This paper describes the ongoing study of using the proposed energy management system in an electroplating manufacturer to reduce its ventilation energy consumption.