Energy-saving and visualization solutions realized through EMS.
An Energy Management System (EMS) visualizes the energy consumption of factories, enabling efficient energy management. By utilizing EMS, it becomes easier to understand the energy consumption of factories and equipment, allowing for the quantification of energy-saving effects and the reduction of unnecessary energy losses. For example, in the food sector, implementing an EMS allows for energy savings from both electricity and heat. This contributes not only to cost reduction but also to the reduction of environmental impact. In the EMS solutions for the food sector, energy management and energy savings in factories are achieved through the visualization and understanding of electricity and heat with the EMS. Based on the know-how gained from realizing smart factories, we propose EMS and MES integration solutions, as well as EMS for utilizing on-site data.
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basic information
■ EMS Solutions for the Food Sector EMS solutions for the food sector implement energy savings in a comprehensive manner, utilizing waste heat in cogeneration and achieving predictive control and overall optimization of energy. By synchronizing with manufacturing execution systems, it enables the optimization of energy management in factories. By integrating EMS (Energy Management System) and MES (Manufacturing Execution System), it allows for the optimization of energy supply sources, efficiency of production equipment, and improvement of product quality. In the following example of system configuration, signals from utility equipment are aggregated using PLC, enabling visualization and understanding of energy data, and utilizing analysis templates to grasp energy losses in manufacturing.
Applications/Examples of results
■Effects of Implementing an EMS (Energy Management System) The following case presents the results of implementing an EMS (Energy Management System) in a certain food manufacturing company, analyzing the energy-saving effects on the production line. Upon conducting a current situation analysis using the EMS, it became clear that despite a decrease in production volume, electricity consumption had not decreased. The results of a detailed analysis (drill-down analysis) revealed that a specific piece of equipment (Equipment B) was operating for extended periods, leading to an increase in intermediate inventory. As an improvement measure, it was determined that changing the operation control of the equipment in line with the production plan and switching to nighttime production based on the intermediate inventory situation could reduce electricity usage. This improvement resulted in an energy-saving rate of 2%, equating to approximately 10 million yen in energy savings.
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EMS (Energy Management System)

Proposal Example: Thermal Energy Management System

Case Study: Visualization of Power Consumption in Factories

Case Study: Power Visualization System

Current Status and Challenges of Manufacturing Industries Working on Energy Visualization for the Food and Chemical Industries
Company information
Providing solutions for various plants and factories such as food, chemicals, oil and gas pipelines, paper and pulp, and cleaning facilities. Our measurement and control systems have over 40 years of history since the launch of the first distributed control system in 1975. Based on our track record, we propose systems and solutions to support the latest technologies, IoT utilization, and the development of smart factories. - Steam generation heat pumps / waste heat utilization / visualization of thermal energy - Clamp-on steam flow meters / flow meters / flow sensors / thermal balance analysis - Industrial furnaces / electric furnaces / high-frequency induction furnaces / IGBT power supplies - Gas analyzers / gas measurement devices / gas analysis sensors - Predictive maintenance / anomaly detection maintenance / preventive maintenance / maintenance and prevention systems / smart security - Smart factory - MES / DCS / SCADA / edge controllers - EMS / energy management systems / visualization of energy - Smart glasses / remote work support systems - Multivariate analysis / MSPC - Engineering tools