For optimal operating to minimize energy consumption of the chilling system (chiller, condensing water pump and cooling tower), we devised a predict model of the chilling system using automatically AI technology and made it for autonomous operation.
Bibliographic Information
- Other Title
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- 都市型地域冷暖房の省エネルギー手法に関する研究 その３ 高効率インバータ冷凍機におけるＡI技術を活用した最適設定自動化手法の評価
Abstract
<p>冷凍機、冷却水ポンプ、冷却塔のエネルギー消費量を最小に抑えるために、AI技術を活用した冷凍機システムの予測モデルを作成し、自動運転を可能とした。</p>
Journal
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- Techinical Papers of Annual Meeting the Society of Heating,Air-conditioning and Sanitary Engineers of Japan
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Techinical Papers of Annual Meeting the Society of Heating,Air-conditioning and Sanitary Engineers of Japan 2020.2 (0), 77-80, 2020
The Society of Heating,Air-Conditioning&Sanitary Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390571395584134272
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- NII Article ID
- 130008111426
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- ISSN
- 24242179
- 18803806
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed