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Automatic Energy-Saving Operations System Using Robotic Process Automation

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Title: Automatic Energy-Saving Operations System Using Robotic Process Automation
Authors: Yamamoto, Toru Browse this author →KAKEN DB
Hayama, Hirofumi Browse this author
Hayashi, Takao Browse this author
Mori, Taro Browse this author →KAKEN DB
Keywords: energy-saving operation system
robotic process automation
building management device
automatic operation
continuously and optimally operation
reduction of carbon dioxide emissions
Issue Date: May-2020
Publisher: MDPI
Journal Title: Energies
Volume: 13
Issue: 9
Start Page: 2342
Publisher DOI: 10.3390/en13092342
Abstract: We have developed an energy-saving operations system featuring remote operation of central monitoring equipment installed in a building. This system applies robotic process automation to remote operation to automatically perform energy-saving operations on behalf of the operations manager. Furthermore, as another feature, the system requires only a local area network to connect to the central monitoring equipment enabling automatic operation to be performed regardless of the specifications of the central monitoring equipment. The items targeted for energy-saving operation by this system are the optimal operation of a heat source system, setting of the supply water temperature of heat source equipment, setting of room temperature, and setting of outside-air intake volume. At present, the operations manager has the role of performing these energy-saving operations, but finding the optimal value for each of these operations is a difficult task. An operations manager, moreover, is responsible for tasks other than facility operations such as maintenance management, so changing optimal settings accurately at regular intervals on an ongoing basis can be quite a burden. This system uses robotic process automation technology, so it is capable of performing all energy-saving operations that can be executed by the central monitoring equipment. We installed this system in a large-scale shopping mall and performed energy-saving operations on outside-air processing units. In this trial, we achieved a 44% reduction in the amount of energy required for outside-air processing and a 47% reduction in CO2 emissions.
Rights: © 2020 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (
Type: article
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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