Data Driven Energy Centered Maintenance (River Publishers Series in Energy Management) （2ND）

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Data Driven Energy Centered Maintenance (River Publishers Series in Energy Management) （2ND）

Alshakhshir, Fadi

ウェブストア価格 ¥17,222（本体¥15,657）
River Publishers（2024/10発売）
外貨定価 UK£ 57.99
ポイント 156pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 266 p.
言語 ENG
商品コード 9788770043014
DDC分類 690.24

Full Description

Over recent years, many new technologies have been introduced to drive the digital transformation in the building maintenance industry. The current trend in digital evolution involves data-driven decision making which opens new opportunities for an energy centered maintenance model. Artificial Intelligence and Machine Learning are helping the maintenance team to get to the next level of maintenance intelligence to provide real-time early warning of abnormal equipment performance.

This edition follows the same methodology as the First. It provides detailed descriptions of the latest technologies associated with Artificial Intelligence and Machine Learning which enable data-driven decision-making processes about the equipment's operation and maintenance.

Technical topics discussed in the book include:

Different Maintenance Types and The Need for Energy Centered Maintenance
The Centered Maintenance Model
Energy Centered Maintenance Process
Measures of Equipment and Maintenance Efficiency and Effectiveness
Data-Driven Energy Centered Maintenance Model:

Digitally Enabled Energy Centered Maintenance Tasks
Artificial Intelligence and Machine Learning in Energy Centered Maintenance
Model Capabilities and Analytics Rules
Building Management System Schematics

The book contains a detailed description of the digital transformation process of most of the maintenance inspection tasks as they move away from being manually triggered. The book is aimed at building operators as well as those building automation companies who are working continuously to digitalize building operation and maintenance procedures. The benefits are reductions in the equipment failure rate, improvements in equipment reliability, increases in equipment efficiency and extended equipment lifespan.

Preface 1.Energy Reduction 2. Different Maintenance Types and The Need for ECM 3.Energy Centered Maintenance Origin and Model 4-9. The ECM Process 10.Relationship Between Maintenance and Low Delta T Syndrome in Chilled Water Systems 11.Energy Centered Maintenance at Data Centers 12.Measures of Equipment and Maintenance Efficiency and Effectiveness 13.Energy Savings Verification 14. Building Energy Centered Behavior Leading to The Energy Awareness & Reduction Culture 15.Data Driven Energy Centered Maintenance Model 16.Conclusion