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Data driven energy centered maintenance / Fadi Alshakhshir, Marvin T. Howell.

Knovel General Engineering & Project Administration Academic Available online

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Knovel Industrial Engineering & Operations Management Academic Available online

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Format:
Book
Author/Creator:
Alshakhshir, Fadi S., 1982- author.
Howell, Marvin T., 1936- author.
Series:
Energy Management
Energy centered maintenance : a green maintenance system
Language:
English
Subjects (All):
Buildings--Maintenance.
Buildings.
Physical Description:
1 online resource (268 pages)
Edition:
Second edition.
Place of Publication:
Gistrup : River Publishers, 2021.
Summary:
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.
Contents:
Cover
Data Driven Energy Centered Maintenance
Table of Contents
Dedication
Preface
Glossary
List of Tables
List of Figures
1 Energy Reduction
1.1 Energy Cost
1.2 Implementing Low Hanging Fruit
1.3 Identifying Energy Waste Brainstorming Sessions:
1.4 Energy Conservation
1.5 Energy Efficiency Projects
2 Different Maintenance Types andthe Need for Energy CenteredMaintenance
2.1 History of Maintenance
2.2 The Maintenance Types
3 Energy Centered MaintenanceOrigin and Model
3.1 Origin of ECM
3.2 The Model − Its Aim and Design
3.3 Objectives of ECM
4 ECM Process - Equipment Identification
4.1 Step 1: Equipment Identification
4.2 List of Energy-Related Systems
4.3 Energy Classification Code
5 ECM Process - Data Collection
5.1 Step 2: Data Collection and EquipmentOperational Baseline
5.2 Types of Data
5.3 Sources of Data
6 ECM Process - ECM Inspections
6.1 Step 3: Identify ECM Inspections, Frequency,Craft, Tools, and Job Duration
6.2 Maintenance Records
6.3 Energy Centered Maintenance Inspections
6.4 Energy Centered Maintenance Inspection Frequency
6.5 Energy Centered Maintenance Craft, Tool, and Duration
6.6 Calibration Program
6.7 Inspection Duration
6.8 Energy Centered Maintenance Inspection Plans
7 ECM Process - Measuring Equipment Current Performance
7.1 Step 4: Measuring Equipment's Current Performance and Comparing to Baseline
7.2 Measuring Equipment's Current Performance
8 ECM Process - Identifying Corrective/Preventive Action and Cost Effectiveness
8.1 Step 5: Identifying Corrective/Preventive Action andCost Effectiveness
8.2 Identifying Corrective/Preventive Action
8.3 Identifying Cost Effectiveness
8.4 Restoring Equipment Efficiency.
9 ECM Process - Updating Preventative Maintenance Plans
9.1 Step 6: Updating PM Plans on CMMS
9.2 What is CMMS?
9.3 Updating PM Plans on CMMS
9.4 Planning and Scheduling Next Inspection
9.5 Sample Problem, Cause, Effect, and Corrective/Preventive Actions
10 Energy Centered Maintenance toavoid Low Delta T Syndrome in Chilled Water Systems
10.1 Low Delta T Syndrome Described
10.2 Maintenance Relationship
10.3 Causes Can Be Avoided During Design Stage
10.4 Causes Can Be Avoided DuringOperation and Maintenance
11 Energy Centered Maintenance in Data Centers
11.1 ECM Terminology and Characteristics
12 Measures of Equipment and Maintenance Efficiency and Effectiveness
12.1 Lead (Key Performance Indicators) and Lag (KeyResult Indicators)
12.2 Maintenance Group Indicators
12.3 Overall Equipment Efficiency (OEE)
12.4 ECM Inspection
12.5 Indicator Checked
12.6 Target Setting
13 Energy Savings Verification
13.1 Baseline
13.2 Example of Energy Baseline
13.3 Energy Baseline, Energy Targets, and EnergyPerformance Indicators
13.4 Energy Centered Maintenance and EnergyPerformance Indicators
13.5 Savings in Data Center Measures and Verification
13.6 Developing an Electricity Baseline and ReducingEnergy Consumption and Costs − A Case Study
13.7 Energy Baseline
13.8 Energy Benchmarking
13.9 Energy Centered Maintenance Implementation
14 Building Energy Centered Behavior Leading to an Energy Centered Culture
14.1 Kinds of Organizations' Cultures
14.2 Culture Definition and Building a Specific Culture
15 Data Driven Energy Centered Maintenance Model
15.1 Digital Transformation
15.2 Digitally Enabled Energy CenteredMaintenance Tasks
15.3 Benefits of Data Driven Energy CenteredMaintenance.
15.4 Artificial Intelligence and Machine Learning inEnergy Centered Maintenance
15.5 Model Capabilities
15.6 Analytics Rules
15.7 Building Management System Schematics
16 Conclusion
16.1 Designing and Implementing ECM
16.2 Characteristics of a Successful EnergyReduction Program
16.3 Data Driven Energy Centered Maintenance
ECM References
List of Acronyms
Index
About the Authors.
Notes:
<P>Preface</P><P>1.Energy Reduction</P><P>2. Different Maintenance Types and The Need for ECM</P><P>3.Energy Centered Maintenance Origin and Model</P><P>4-9. The ECM Process</P><P>10.Relationship Between Maintenance and Low Delta T Syndrome in Chilled Water Systems</P><P>11.Energy Centered Maintenance at Data Centers</P><P>12.Measures of Equipment and Maintenance Efficiency and Effectiveness</P><P>13.Energy Savings Verification</P><P>14. Building Energy Centered Behavior Leading to The Energy Awareness & Reduction Culture</P><P>15.Data Driven Energy Centered Maintenance Model</P><P>16.Conclusion</P>
Includes bibliographical references and index.
Description based on print version record.
Description based on publisher supplied metadata and other sources.
ISBN:
1-00-319510-5
1-000-41833-2
1-5231-3877-7
1-003-19510-5
87-7022-356-4
9781003195108
OCLC:
1247656770

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