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Automatic Energy-Saving Operations System Using Robotic Process Automation

Author

Listed:
  • Toru Yamamoto

    (Intee Corporation, 2-14 Nihonbashi 3 Chome, Chuoku Tokyo 103-0027, Japan)

  • Hirofumi Hayama

    (Division of Architecture, Faculty of Engineering, Hokkaido University, N13-W8, Kita-ku, Sapporo 060-8628, Japan)

  • Takao Hayashi

    (Hirosawa Electric Corporation, 2-13-14 Nishikoujiya, Ohtaku, Tokyo 144-0034, Japan)

  • Taro Mori

    (Division of Architecture, Faculty of Engineering, Hokkaido University, N13-W8, Kita-ku, Sapporo 060-8628, Japan)

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 CO 2 emissions.

Suggested Citation

  • Toru Yamamoto & Hirofumi Hayama & Takao Hayashi & Taro Mori, 2020. "Automatic Energy-Saving Operations System Using Robotic Process Automation," Energies, MDPI, vol. 13(9), pages 1-14, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2342-:d:355457
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    References listed on IDEAS

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    1. Karl-Kiên Cao & Kai von Krbek & Manuel Wetzel & Felix Cebulla & Sebastian Schreck, 2019. "Classification and Evaluation of Concepts for Improving the Performance of Applied Energy System Optimization Models," Energies, MDPI, vol. 12(24), pages 1-51, December.
    2. Toru Yamamoto & Hirofumi Hayama & Takao Hayashi, 2020. "Formulation of Coefficient of Performance Characteristics of Water-cooled Chillers and Evaluation of Composite COP for Combined Chillers," Energies, MDPI, vol. 13(5), pages 1-20, March.
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    Cited by:

    1. Silviu Răileanu & Theodor Borangiu & Ionuț Lențoiu & Mihnea Constantinescu, 2024. "Optimizing Energy Consumption of Industrial Robots with Model-Based Layout Design," Sustainability, MDPI, vol. 16(3), pages 1-20, January.
    2. Andrzej Sobczak & Leszek Ziora, 2021. "The Use of Robotic Process Automation (RPA) as an Element of Smart City Implementation: A Case Study of Electricity Billing Document Management at Bydgoszcz City Hall," Energies, MDPI, vol. 14(16), pages 1-22, August.

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