Energy Centered Maintenance
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| Author | : Marvin T. Howell |
| Publisher | : CRC Press |
| Total Pages | : 250 |
| Release | : 2020-11-26 |
| Genre | : Science |
| ISBN | : 8770222665 |
Energy Centered Maintenance proves a detailed description of how to implement Energy Centered Maintenance (ECM) at any organization. It includes a new six-step technical process with detailed instructions of each of these steps explained with clear examples. Areas covered include preventative maintenance, predictive maintenance and reliability centered maintenance. ECM uses energy consumption excesses or energy waste as the primary criterion for determining specific maintenance or repair needs. Therefore, the primary purpose of this book is to provide strategies to reduce energy use by identifying equipment or items that can become energy hogs while still performing their function and prevent that from occurring. The primary reasons organizations need ECM is due to poor maintenance of energy-using systems and energy losses from motors not turning off when they should. The book includes ECM for electrical, mechanical, building transportation, HVAC, fire-fighting, water supply, drainage and storm water management systems. In some cases, ECM in data centers can help reduce energy consumption by as much as 30%. The six-step process detailed in this text will enable any organization to implement ECM in an orderly, cost effective manner thus improving your equipment and machines, lowering your energy consumption and helping save the planet.
| Author | : Fadi Alshakhshir |
| Publisher | : CRC Press |
| Total Pages | : 269 |
| Release | : 2021-07-19 |
| Genre | : Business & Economics |
| ISBN | : 1000418332 |
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.
| Author | : Marvin T. Howell |
| Publisher | : |
| Total Pages | : 259 |
| Release | : 2017 |
| Genre | : Buildings |
| ISBN | : 9780881737806 |
This book provides a detailed description of how to implement Energy Centered Maintenance (ECM) at any organization. It includes a new six-step technical process with detailed instructions of each of these steps explained with clear examples. Areas covered include preventative maintenance, predictive maintenance and reliability centered maintenance. ECM uses energy consumption excesses or energy waste as the primary criterion for determining specific maintenance or repair needs. Therefore, the primary purpose of this book is to provide strategies to reduce energy use by identifying equipme.
| Author | : Fadi Alshakhshir |
| Publisher | : CRC Press |
| Total Pages | : 266 |
| Release | : 2021-07-20 |
| Genre | : Business & Economics |
| ISBN | : 8770223564 |
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.
| Author | : John Moubray |
| Publisher | : Industrial Press Inc. |
| Total Pages | : 452 |
| Release | : 2001 |
| Genre | : Business & Economics |
| ISBN | : 9780831131463 |
Completely reorganised and comprehensively rewritten for its second edition, this guide to reliability-centred maintenance develops techniques which are practised by over 250 affiliated organisations worldwide.
| Author | : Neil B. Bloom |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 314 |
| Release | : 2005-12-22 |
| Genre | : Technology & Engineering |
| ISBN | : 007158918X |
A properly implemented and managed RCM program can save millions in unscheduled maintenance and breakdowns. However, many have found the process daunting. Written by an expert with over 30 years of experience, this book introduces innovative approaches to simplify the RCM process such as: single vs. multiple failure analysis, hidden failures analysis, potentially critical components analysis, run-to-failure and the difference between redundant, standby, and backup functions. Included are real life examples of flawed preventive maintenance programs and how they led to disasters that could have easily been avoided. Also illustrated in detail, with real-life examples, is the step-by-step process for developing, implementing, and maintaining a premier classical RCM program. Senior management, middle management, supervisors, and craftsmen/technicians responsible for plant safety and reliability will find this book to be invaluable as a means for establishing a first class preventive maintenance program.
| Author | : Anthony M. Smith |
| Publisher | : Elsevier |
| Total Pages | : 362 |
| Release | : 2003-12-05 |
| Genre | : Technology & Engineering |
| ISBN | : 0080474136 |
Reliability-Centered Maintenance provides valuable insights into current preventive maintenance practices and issues, while explaining how a transition from the current "preserve equipment" to "preserve function" mindset is the key ingredient in a maintenance optimization strategy. This book defines the four principal features of RCM and describes the nine essential steps to achieving a successful RCM program. There is an easy to follow example illustrating the Classical RCM systems analysis process using the water treatment system for a swimming pool. As well as the use of software in the system analysis process, making a specific recommendation on a software product to use. Additionally, this new edition possesses an appendix devoted to discussing an economic model that has been used successfully to decide the most cost effective use of maintenance. Top Level managers, engineers, and especially technicians who rely on PM programs in their plant operations can't afford to miss this inclusive guide to Reliability-Centered Maintenance. Includes detailed instructions for implementing and sustaining an RCM program for extremely cost effective manufacturing Presents seven real-world cross-industry RCM sucess case studies that have profited from this plan Provides essential information on how RCM focuses your maintenance organization to become a recognized "center for profit" Offers over 35 accumulated years of the authors' experiences in Lessons Learned for the proper use of RCM (and pitfalls to avoid)
| Author | : Marvin T. Howell |
| Publisher | : CRC Press |
| Total Pages | : 196 |
| Release | : 2020-12-17 |
| Genre | : Business & Economics |
| ISBN | : 1000355748 |
This book provides organizations with a guide to planning, developing, and implementing an energy reduction and management program. It is specially designed to achieve energy reduction deployment including top management for all employees and onsite contractors. Energy reduction deployment (ERD) can be implemented by itself and render significant savings; however, for even greater savings, this book shows how to implement energy centered management systems (ECMS) which can be in congruence with ISO 50001. This book assists in the hunt for energy waste and is designed to thoroughly cover ECMS plus addresses what additions are necessary to have ECMS conform to ISO 50001 Energy Management System (EnMS). It provides a checklist and information on how to perform an internal audit or self-inspection and discusses how to create an energy awareness organization culture.
| Author | : Marvin T. Howell |
| Publisher | : CRC Press |
| Total Pages | : 265 |
| Release | : 2020-12-17 |
| Genre | : Business & Economics |
| ISBN | : 8770223246 |
This book provides organizations with a guide to planning, developing, and implementing an energy reduction and management program. It is specially designed to achieve energy reduction deployment including top management for all employees and onsite contractors. Energy reduction deployment (ERD) can be implemented by itself and render significant savings; however, for even greater savings, this book shows how to implement energy centered management systems (ECMS) which can be in congruence with ISO 50001. This book assists in the hunt for energy waste and is designed to thoroughly cover ECMS plus addresses what additions are necessary to have ECMS conform to ISO 50001 Energy Management System (EnMS). It provides a checklist and information on how to perform an internal audit or self-inspection and discusses how to create an energy awareness organization culture.
| Author | : Ravinesh Deo |
| Publisher | : Elsevier |
| Total Pages | : 553 |
| Release | : 2020-09-30 |
| Genre | : Science |
| ISBN | : 012817773X |
Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. Presents advanced optimization techniques to improve existing energy demand system Provides data-analytic models and their practical relevance in proven case studies Explores novel developments in machine-learning and artificial intelligence applied in energy management Provides modeling theory in an easy-to-read format
