Details

IoT/AI Control of VRF Distributed Building Air-Conditioners


IoT/AI Control of VRF Distributed Building Air-Conditioners



von: Chuzo Ninagawa

149,79 €

Verlag: Springer
Format: PDF
Veröffentl.: 24.06.2024
ISBN/EAN: 9789819991990
Sprache: englisch

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>This book describes new energy&nbsp; service controls of VRF (Variable Refrigerant Flow) air-conditioners,&nbsp;i.e., distributed-type air-conditioners for commercial buildings in the near future, in the context of the&nbsp;energy savings for CO2 reduction and the reform of the electric power system. In&nbsp;other words, this book introduces the state-of-the-art technology of the next-generation distributed building air-conditioning energy service system, from IoT cloud control to AI optimal control, as well as&nbsp;standards for the smart grid supply and demand adjustment market. Rather than simple saving energy by On Off operations or shifting set- temperatures, the author proposes technology that sends numerical commands for the air-conditioner inverters directly from the cloud. By using this innovative IoT method, this book describes how to realizes the AI optimal cloud control as a cluster of air-conditioners while machine-learning of each air conditioner's situation.<br></p>
<p>Chapter 1. Innovations in Air-conditioning Energy&nbsp;Control.-&nbsp;Chapter 2. BACnet Communication Control.- Chapter 3. LON Communication Control.- Chapter 4. WEB Cloud Communication Control.- Chapter 5.&nbsp;Virtual Wattmeter for VRF Air-conditioner.- Chapter 6.&nbsp;Fast Automated Demand Response.- Chapter 7.&nbsp;Deep Learning for FastADR.- Chapter 8.&nbsp;IEEJ Power Supply-Demand Adjustment Service&nbsp;.- Chapter 9.&nbsp;OpenADR Communication Control.-&nbsp;Chapter 10. Optimal Real-Time Pricing Control.-&nbsp;Chapter 11. Power Control by Reinforcement Learning.</p>
<p>Prof. Chuzo Ninagawa is Professor at the Faculty of Engineering, Gifu<br>University, Japan, also CEO of N Labobaroty, Inc.<br><br>Dr. Ninagawa has been Executive Chief Engineer of Mitsubishi Heavy<br>Industries, Ltd., which is one of the largest hi-tech manufacturers inJapan. His research interests span various topics of smart grid, with<br>special focus on virtual power plant (VPP) with a large-scale<br>aggregation of fast automated demand responses. He has published over110 academic papers and three&nbsp; advanced research books<br></p>
<p>This book describes new energy&nbsp; service controls of VRF (Variable Refrigerant Flow) air-conditioners,&nbsp;i.e., distributed-type air-conditioners for commercial buildings in the near future, in the context of the&nbsp;energy savings for CO2 reduction and the reform of the electric power system. In&nbsp;other words, this book introduces the state-of-the-art technology of the next-generation distributed building air-conditioning energy service system, from IoT cloud control to AI optimal control, as well as&nbsp;standards for the smart grid supply and demand adjustment market. Rather than simple saving energy by On Off operations or shifting set- temperatures, the author proposes technology that sends numerical commands for the air-conditioner inverters directly from the cloud. By using this innovative IoT method, this book describes how to realizes the AI optimal cloud control as a cluster of air-conditioners while machine-learning of each air conditioner's situation.<br></p>
Demonstrates implementation of control and communication software for VRF air-conditioner Covers innovative controls for distributed air-conditioners of commercial buildings Explains how to design the innovative control systems with practical examples

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