Authors Barney L. Capehart, PhD, CEM Professor Emeritus University of Florida and Michael R. Brambley, Staff Scientist in Energy Technology Development at Pacific Northwest National Laboratory (PNNL) have produced an HVAC Opus Magnus that will serve the entire spectrum of building and automation experts well — now, and for many years to come. Whether you’re a systems integrator, BAS or BMS Consultant, manufacturer or vendor, engineer, Director of Facilities or maintenance manager, this smart building tome (textbook) provides not only vital insight, methodologies, and options, but the compelling documentation that warrants immediate action.
Foreword: By Ken Sinclair Publisher/Owner, AutomatedBuildings. This book will help you explore the new world of Automated Diagnostics and Analytics for Buildings and provide insight and connection into the industry thought leaders that are taking big data into a new reality. “Dynamic Data Fuels Deep Analytics” speaks to the importance of the next level of deep analytics of almost everything will have and how we as an industry will provide a new level of deeper analytics connecting inquiring minds to almost everything with low cost real time data.
Introduction: The purpose of this book is to promote and document energy savings from the relatively new technology of Advanced Energy Information Systems called Automated Fault Detection and Diagnostics (AFDD) and Analytics for buildings and facilities. A number of studies have shown that commercial buildings in the United States (U.S.) waste as much as 15% to 30% of the energy they use (Katipamula and Brambley 2005). Analysis of HVAC and other building energy use data, along with whole-building utility data, sub-metered end-use data, and data from the building automation system (BAS) through the use of AFDD and building analytics can help identify opportunities to improve building operations and efficiency, and ultimately reduce energy and operating costs.
We will discuss the latest technologies available for fault detection, diagnostics, and building analytics, and operational experience with stand alone and web based systems for fault detection, diagnostics and analytics in currently operating buildings and facilities, and in varied applications, and to show how new opportunities have developed for energy and facility managers to quickly and effectively control and manage their operations more efficiently, with less energy use and cost, and experience improved energy system performance. You’ll find information on what is actually available using this technology, what products and services are available at this time, and how they are being used at other buildings and facilities, and see what is involved for current and future installations of internet-based technologies. The material in this book on automated fault detection, diagnostics and analytics should greatly assist energy, facility and maintenance managers, as well as consultants and control systems development engineers. Chapters on methodology and future technological features should also assist those involved in research and development of these new technologies in AFDD and analytics for buildings.
Table of Contents
The Case for Automated Tools for Facility Management and Operation
Energy-Smart Buildings Demonstrating How Information Technology Can Cut Energy Use and Costs of Real Estate Portfolios
Perspective on Building Analytics Adoption
Delivering Successful Results from Automated Diagnostics Solutions
Intelligent Efficiency: Opportunities, Barriers, and Solutions
Current Technology, Tools, Products, Services, and Applications
Enabling Efficient Building Energy Management through Automated Fault Detection and Diagnostics
A Practical, Proven Approach to Energy Intelligence, Measurement, and Management
Di-BOSS: Research, Development & Deployment of the World’s First Digital Building Operating System
Analytics, Alarms, Analysis, Fault Detection and Diagnostics
Using Custom Programs to Enhance Building Diagnostics and Energy Savings
88 Acres-How Microsoft Quietly Built the City of the Future
Improving Airport Energy Efficiency through Continuous Commissioning® Process Implementation at Dallas/Fort Worth International Airport
ECAM+ A Tool for Analyzing Building Data to Improve and Track Performance
Outside The Box: Integrating People & Controls To Create a Unique Energy Management Program-A Caltech Case Study
Value Proposition of FDD Solutions
FDD: How High Are the Market Barriers to Entry?
Diagnostics for Monitoring-based Commissioning
Methodology and Future Technology
Model-based Real-time Whole Building Energy Performance Monitoring and Diagnostics
Advanced Methods for Whole Building Energy Analysis
Identification of Energy Efficiency Opportunities Through Building Data Analysis and Achieving Energy Savings through Improved Controls
High-resolution Data Collection for Automated Fault Diagnostics Motivation
Localized Uncertainty Quantification for Baseline Building Energy Modeling.
Pushing the Envelope Building Analytics beyond HVAC
Data to Information for Intelligent Buildings
The 12 Things You Need to Know about Monitoring-Based Commissioning (MBCx)
Application of Automated Price and Demand Response for Large Customers in New York
Understanding Microgrids as the Essential Architecture of Smart Energy
Power Monitoring Solutions through Contextual Data
Current Technology, Tools, Products, Services, and Applications
Battling Entropy In Commercial Rooftop HVAC Systems with Advanced Fault Detection and Diagnostics
C1ockworks™ Automated HVAC Diagnostics and the Evolution of AFDD Tools
Automated Diagnostics—To Pick the Low Hanging Fruits In Energy Efficiency In Air Conditioning and Heat Pump Systems
Implementing Advanced Diagnostics In Fleets of Commercial HVAC Equipment
Energy Savings Benefits of FDD Systems for Light Commercial Unitary HVAC Equipment
AFDD for HVAC Systems and Equipment—Methodology and Future Technology
Fault Detection and Diagnostics for HVAC&R Equipment
Automatically Detecting Faulty Regulation in HVAC Controls
Methodology for Evaluating FDD Protocols Applied to Unitary Systems
Self-correcting HVAC Controls: They May be in Your Future Sooner than You Think
A Framework to Apply a Structural Pattern Recognition Technique in Automated Fault Detection and Diagnostics of
HVAC System and Component Faults
Fault Detection and Diagnostics for Rooftop Units: Standards are Key to Making it in the Market
Building Automation System Embedded HVAC System Energy Performance Degradation Detector
What’s Going on in the Trenches with Smart Buildings, Monitoring Based Commissioning, Automated Fault Detection and
Diagnostics and Energy Regulatory Policy? What Does the Future Hold, When Does it Arrive?
Automated Diagnostics and Analytics for Wastewater Treatment Plants and Water Distribution Facilities
Conclusion and Author Bios
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