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