Muutke küpsiste eelistusi

Energy and Analytics: BIG DATA and Building Technology Integration [Kõva köide]

  • Formaat: Hardback, 374 pages, kõrgus x laius: 229x152 mm, kaal: 658 g
  • Ilmumisaeg: 06-Jul-2015
  • Kirjastus: Productivity Press
  • ISBN-10: 149874429X
  • ISBN-13: 9781498744294
  • Formaat: Hardback, 374 pages, kõrgus x laius: 229x152 mm, kaal: 658 g
  • Ilmumisaeg: 06-Jul-2015
  • Kirjastus: Productivity Press
  • ISBN-10: 149874429X
  • ISBN-13: 9781498744294

This book details how to leverage big data style analytics to manage and coordinate the key issues in both energy supply and demand. It presents a detailed explanation of the underlying systems technology that enables big data in buildings and how this technology provides added cost benefit from efficiency, onsite solar, and electricity markets. It is a primer on Building Automation Systems Standards, web services and electricity markets and programs plus a complete tutorial on energy analytics hardware, software, and Internet-enabled offerings that energy managers must understand today.

Part I Foreword 1(96)
Chapter 1 The 21st Century Energy Marketplace and Facilities
3(8)
Chapter 2 4PLEX Energy
11(12)
Energy and Analytics
13(1)
Energy Management Applications for Analytics
14(9)
Chapter 3 Dashboards and Visualization Tools
23(10)
Dashboards
25(2)
Dashboard Technology Situation Analysis
27(3)
Dashboard Application Situation Analysis
30(3)
Chapter 4 Introduction to Analytics
33(20)
Alarms
34(2)
FD&D—Fault Detection & Diagnosis
36(4)
Some Examples Help To Highlight The Distinctions
40(4)
Can Analytics Effect Control Actions?
44(1)
Data Access—A Key Requirement for All Data-Oriented Tools
44(1)
Analytics as an Exploratory Process
45(8)
Chapter 5 Analytics for Energy Management in Buildings and on Campuses
53(20)
History and Process
55(12)
Energy Efficiency and Conservation
67(1)
Peak Load Management
67(2)
Distributed Generation
69(1)
Demand Response
69(2)
Electricity Market Participation
71(2)
Chapter 6 Analytics for Operations and Equipment Maintenance in Buildings and on Campuses
73(14)
Importance of This Content
73(1)
Introduction by James M. Lee
74(1)
Preventive Maintenance
75(1)
Predictive Maintenance
76(2)
What is Required to Deploy a Predictive Maintenance program?
78(4)
Benefits
82(3)
Conclusion
85(2)
Chapter 7 Analytics for 21st Century Electricity Marketing and Energy Management
87(10)
Energy Triple Threat
89(8)
Part II Introduction To Technology Content 97(210)
Chapter 8 Building Systems Technology: The Foundation of Analytics
101(4)
Chapter 9 Six-Sigma Approach to Energy Management Planning
105(18)
Introduction
105(1)
Abstract
106(1)
Introduction
107(2)
Define Team and Budget
109(1)
Measure Performance
110(2)
Analyze Audit Data
112(4)
Improve System Efficiency
116(1)
Control Operations and Motivate Employees
117(3)
Conclusions
120(3)
Chapter 10 State-of-the-art Building Automation Systems (BAS) Executing Direct Digital Control
123(42)
Historical Perspective
125(1)
Bas Market
126(4)
Bas Technology
130(12)
BADDC Technology for Equipment and General Purpose Applications
142(13)
BADDC Technology for Zone Level
155(1)
Control Applications
155(9)
Active Energy and Analytics
164(1)
Chapter 11 Introduction to Digital Communication for Building Automation and DDC
165(32)
Data Messages
168(6)
Protocols
174(5)
Media Access Control (Mac)
179(1)
Network Software
180(1)
Signal Boosting and Inter-Protocol Networks
181(2)
Bas Industry Networking
183(3)
Internet and Web Services
186(4)
Architecture
190(1)
Topology
191(4)
Energy and Analytics Data Access
195(2)
Chapter 12 Middleware—A New Frontier for Building Systems and Analytics
197(30)
Middleware
198(6)
Networks for Analytics
204(7)
Energy and Analytics Network Systems
211(2)
Middleware Ad hoc Network Infrastructure
213(14)
Chapter 13 System Integration
227(10)
Building Automation Systems (BAS) and Control
229(1)
Architecture and Integration
230(3)
Energy Management, Sustainability and Analytics
233(4)
Chapter 14 Project Haystack Data Standards
237(8)
Challenges with Data
237(3)
Project Haystack Approach and Activities
240(5)
Chapter 15 The Internet of Things (IoT)
245(22)
Introduction
245(1)
Definitions and Context
246(1)
Trends Driving The Internet of Things
247(10)
Buildings Opportunities
257(10)
Chapter 16 Energy and Analytics Tools
267(16)
Energy and Analytics Best Practices:
268(1)
Setting the Bar
268(11)
Cloud Computing
279(1)
Software as a Service (SaaS) or Data as a Service (DaaS)
280(1)
BAS, Middleware and HVAC-centric Solutions
280(1)
Dashboard and API
281(2)
Chapter 17 Financing Energy Management For Buildings and Campuses
283(16)
History
287(2)
The Next Wave
289(10)
Chapter 18 Analytics for Measurement and Verification
299(8)
Measurement and Verification (M&V) Science
300(3)
Energy and Analytics
303(2)
M&V in 21st Century Electric Markets
305(2)
Part III Analytics Success Stories 307(36)
Chapter 19 88 Acres—The Microsoft Energy and Analytics Success Story
309(14)
The Visionary
310(1)
88 Acres in a One-stoplight Town
311(3)
The Living, Breathing Building
314(2)
Enough Data to Change the World
316(3)
A Smarter Future
319(4)
Chapter 20 Smart People, Smart Grid
323(6)
An Intuitive Tool to Understand Energy Use
326(2)
Inspiring Future Generations
328(1)
Chapter 21 Envision Charlotte Energy Big Data at Community Scale
329(6)
Author's Note
329(1)
Introduction
329(1)
A Community Model
330(1)
A Business Model
331(4)
Chapter 22 Medical Center Energy and Analytics Case Study
335(8)
Introduction
335(5)
The Challenge
340(2)
Solution
342(1)
Index 343
John J. "Jack" McGowan