Cargando…
Data driven energy centered maintenance /
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 Intel...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Gistrup :
River Publishers,
2021.
|
| Edición: | Second edition. |
| Colección: | Energy management
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a22000001i 4500 | ||
|---|---|---|---|
| 001 | KNOVEL_on1263817648 | ||
| 003 | OCoLC | ||
| 005 | 20231027140348.0 | ||
| 006 | m d | ||
| 007 | cr ||||||||||| | ||
| 008 | 210428s2021 dk a o 000 0 eng d | ||
| 040 | |a UKMGB |b eng |e rda |e pn |c UKMGB |d UKAHL |d OCLCO |d TYFRS |d OCLCF |d IEEEE |d ZCU |d OCLCO |d OCLCQ |d NOC |d OCLCO | ||
| 015 | |a GBC173756 |2 bnb | ||
| 016 | 7 | |a 020188860 |2 Uk | |
| 019 | |a 1256682981 | ||
| 020 | |a 9781000418330 |q (ePub ebook) | ||
| 020 | |a 1000418332 | ||
| 020 | |a 9788770223560 |q (PDF ebook) | ||
| 020 | |a 8770223564 | ||
| 020 | |a 9781003195108 |q (ebook) | ||
| 020 | |a 1003195105 | ||
| 020 | |z 9788770223577 (hbk.) | ||
| 024 | 7 | |a 10.1201/9781003195108 |2 doi | |
| 029 | 0 | |a UKMGB |b 020188860 | |
| 035 | |a (OCoLC)1263817648 |z (OCoLC)1256682981 | ||
| 037 | |a 9781000418330 |b Ingram Content Group | ||
| 037 | |a 9781003195108 |b Taylor & Francis | ||
| 037 | |a 9586514 |b IEEE | ||
| 050 | 4 | |a TH3351 | |
| 072 | 7 | |a BUS |x 093000 |2 bisacsh | |
| 072 | 7 | |a SCI |x 024000 |2 bisacsh | |
| 072 | 7 | |a PHDY |2 bicssc | |
| 082 | 0 | 4 | |a 690.24 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Alshakhshir, Fadi S., |d 1982- |e author. | |
| 245 | 1 | 0 | |a Data driven energy centered maintenance / |c Fadi Alshakhshir, Marvin T. Howell. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Gistrup : |b River Publishers, |c 2021. | |
| 300 | |a 1 online resource : |b illustrations (black and white, and colour). | ||
| 336 | |a text |2 rdacontent | ||
| 336 | |a still image |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 0 | |a Energy management | |
| 505 | 0 | |a 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 | |
| 588 | |a Description based on CIP data; resource not viewed. | ||
| 520 | |a 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. | ||
| 545 | 0 | |a Fadi S. Alshakhshir works in Corporate Facilities Management, in Emaar Properties PJSC, Dubai, United Arab Emirates. He graduated from Jordanian University of Science and Technology with a Mechanical Engineering Degree, and from Heriot Watt University with a Master of Science in Energy, he also has multiple professional certifications such as LEED Green Associate, Certified Energy Manager, Reliability-Centered Maintenance Facilitator, Six Sigma Black-belt.. With over 15 years of practical experience in design, construction, operation, and management of different types of facilities such as hospitals, hotels, malls, residential properties and iconic buildings. He is always thinking of more efficient ways of managing facilities and buildings. Marvin T. Howell is a former senior energy and solar consultant with SkyPower Energy Corporation in Arlington, Texas. As a contracted senior environmental associate with Analytical Services Inc. for eight years, Mr. Howell implemented environmental management systems at eight U.S. DEA facilities, including labs, division offices, an intelligence center and an air operations center. Previously Mr. Howell was manager of distribution planning and reliability for Florida Power and Light, and also served as a Lt. Colonel in Air Force civil engineering, where he was involved in energy reduction efforts, reliability centered maintenance, project management, construction and maintenance management, and efficiency and productivity improvements. He holds a BS degree in mechanical engineering from Mississippi State University and a master's in industrial engineering from the University of Pittsburgh. In 2014 he authored the book, Effective Implementation of ISO 50001 Energy Management System, published by ASQ Quality Press. In 2015, he authored the books, Energy Centered Management, A Guide to Reducing Energy Consumption and Cost, published by the Fairmont Press, Inc. and The Results Facilitator, Expert, Manager, Mentor published by CRC Press. | |
| 505 | 0 | |a Dedication ix Preface xi Glossary xiii List of Tables xvii List of Figures xxi Chapter 1 Energy Reduction 1 1.1 Introduction Energy Cost 1 1.2 Implementing Low Hanging Fruit 1 1.3 Identifying Energy Waste 3 1.4 Energy Conservation 6 1.5 Energy Efficiency Projects 9 Chapter 2 Different Maintenance Types and the Need for Energy Centered Maintenance 21 2.1 History of Maintenance 21 2.2 The Maintenance Types 22 Chapter 3 The Energy Centered Maintenance Origin and Model 31 3.1 Origin of ECM 31 3.2 The Model − Its Aim and Design 32 3.3 Objectives of ECM 36 Chapter 4 ECM Process - Equipment Identification 37 4.1 Step 1: Equipment Identification 37 4.2 List of Energy-Related Systems 37 4.3 Energy Classification Code 39 Chapter 5 ECM Process - Data Collection 45 5.1 Step 2: Data Collection and Equipment Operational Baseline 45 5.2 Types of Data 45 5.3 Sources of Data 50 Chapter 6 ECM Process - ECM Inspections 53 6.1 Step 3: Identify ECM Inspections, Frequency, Craft, Tools, and Job Duration 53 6.2 Maintenance Records 54 6.3 Energy Centered Maintenance Inspections 55 6.4 Energy Centered Maintenance Inspection Frequency 56 6.5 Energy Centered Maintenance Craft, Tool, and Duration 57 6.6 Calibration Program 61 6.7 Inspection Duration 61 6.8 Energy Centered Maintenance Inspection Plans 62 Chapter 7 ECM Process - Measuring Equipment Current Performance 81 7.1 Step 4: Measuring Equipment's Current Performance and Comparing to Baseline ... 81 7.2 Measuring Equipment's Current Performance 81 7.3 Root-Cause Analysis 82 Chapter 8 ECM Process - Identifying Corrective/Preventive Action and Cost Effectiveness 89 8.1 Step 5: Identifying Corrective/Preventive Action and Cost Effectiveness 89 8.2 Identifying Corrective/Preventive Action 89 8.3 Identifying Cost Effectiveness 90 8.4 Restoring Equipment Efficiency 92 Chapter 9 ECM Process - Updating Preventative Maintenance Plans 95 9.1 Step 6: Updating PM Plans on CMMS 95 9.2 What is CMMS? 95 9.3 Updating PM Plans on CMMS 97 9.4 Planning and Scheduling Next Inspection 98 9.5 Sample Problem, Cause, Effect, and Corrective/Preventive Actions 99 Chapter 10 Energy Centered Maintenance to Avoid Low Delta T Syndrome in Chilled Water Systems 145 10.1 Low Delta T Syndrome Described 145 10.2 Maintenance Relationship 147 10.3 Causes Can be Avoided During Design Stage 148 10.4 Causes Can be Avoided During Operation and Maintenance 151 Chapter 11 Energy Centered Maintenance in Data Centers 155 11.1 ECM Terminology and Characteristics 155 Chapter 12 Measures of Equipment and Maintenance Efficiency and Effectiveness... 159 12.1 Lead (Key Performance Indicators) and Lag (Key Result Indicators) 159 12.2 Maintenance Group Indicators 160 12.3 Overall Equipment Efficiency (OEE) 163 12.4 ECM Inspection 166 12.5 Indicator Checked 167 12.6 Target Setting 169 Chapter 13 Energy Savings Verification 171 13.1 Baseline 171 13.2 Example of Energy Baseline 172 13.3 Energy Baseline, Energy Targets, and Energy Performance Indicators 174 13.4 Energy Centered Maintenance and Energy Performance Indicators 176 13.5 Savings in Data Center Measures and Verification 180 13.6 Developing an Electricity Baseline and Reducing Energy Consumption and Costs − A Case Study 182 13.7 Energy Baseline 183 13.8 Energy Benchmarking 184 13.9 Energy Centered Maintenance Implementation 185 Chapter 14 Building Energy Centered Behavior Leading to an Energy Centered Culture 195 14.1 Kinds of Organizations' Cultures 195 14.2 Culture Definition and Building a Specific Culture 195 Chapter 15 Data Driven Energy Centered Maintenance Model 201 15.1 Digital Transformation 201 15.2 Digitally Enabled Energy Centered Maintenance Tasks 202 15.3 Benefits of Data Driven Energy Centered Maintenance 203 15.4 Artificial Intelligence and Machine Learning in Energy Centered Maintenance 204 15.5 Model Capabilities 205 15.6 Analytics Rules 206 15.7 Building Management System Schematics 207 Chapter 16 Conclusion 223 16.1 Designing and Implementing ECM 223 16.2 Characteristics of a Successful Energy Reduction Program 232 16.3 Data Driven Energy Centered Maintenance 233 ECM References 235 List of Acronyms 237 Index 239 About the Authors 243. | |
| 590 | |a Knovel |b ACADEMIC - General Engineering & Project Administration | ||
| 590 | |a Knovel |b ACADEMIC - Industrial Engineering & Operations Management | ||
| 650 | 0 | |a Buildings |x Maintenance |x Technological innovations. | |
| 650 | 0 | |a Buildings |x Maintenance |x Data processing. | |
| 650 | 6 | |a Constructions |x Entretien |x Innovations. | |
| 650 | 6 | |a Constructions |x Entretien |x Informatique. | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Facility Management |2 bisacsh | |
| 650 | 7 | |a SCIENCE / Energy |2 bisacsh | |
| 650 | 7 | |a Buildings |x Maintenance |x Data processing |2 fast | |
| 700 | 1 | |a Howell, Marvin T., |d 1936- |e author. | |
| 776 | 0 | 8 | |i Print version: |z 9788770223577 |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpDDECME08/toc |z Texto completo |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH38349365 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH38351156 | ||
| 994 | |a 92 |b IZTAP | ||