Using Metering to Perform Energy Management : Performing Data Analytics Via the Metering System / George "Buster" Barksdale and Kecia Pierce.

Format:

Book

Author/Creator:

Barksdale, George, author.

Pierce, Kecia, author.

Series:

River Publishers Series in Energy Management Series

Language:

English

Subjects (All):

Electric meters.

Energy conservation.

Physical Description:

1 online resource (425 pages)

Edition:

First edition.

Place of Publication:

New York, NY : River Publishers, [2024]

Summary:

This book will cover many helpful analysis tools and processes to help energy managers administer their energy program through their meter management system.

Contents:

Cover

Half Title

Series Page

Title Page

Copyright Page

Table of Contents

Preface

List of Figures

List of Tables

List of Abbreviations

Chapter 1: Introduction

1.1: Introduction to Meter Management Systems

1.2: Evolution of Energy Management

1.3: Evolution of Available Energy Data

1.4: Building Management System

1.5: Implementing a Successful MMS

1.6: Data Analysis

References

Chapter 2: What is Important About Managing Meter Systems?

2.1: Evolution of Data

2.1.1: The Technology Pillar

2.1.2: The People Pillar

2.1.3: The Buildings Pillar

2.2: Where Do We Source Data?

2.3: What Types of Data Can Be Incorporated Into the Analysis?

2.4: How Much Data Analytics Can Meters Provide in this Universe of Data?

2.5: How Do We Add Meter Data to Other Tools?

Chapter 3: Fault Detection

3.1: Introduction

3.2: What is Fault Detection?

3.3: Can We Use MMS to Do Fault Detection?

3.3.1: Overrides

3.3.2: Equipment

3.3.3: Consumption

3.4: Additional Functionality

3.5: Summary

Chapter 4: Comprehensive Building Analytics (HVAC Systems)

4.1: Introduction

4.2: Case Study 1: Simultaneous Heating and Cooling

4.3: Case Study 2: Air-handling Scheduling

4.4: Case Study 3: Leaking Chiller Isolation Valve

4.5: Case Study 4: Fume Hood Face Velocity

4.6: Case Study 5: Sash Position during Occupied Hours

Chapter 5: Setting Up Billing

5.1: Introduction

5.2: Setting the Rate Structure

5.3: Options on Billing

5.4: Summary

Chapter 6: Meter Data Connectivity

6.1: Introduction

6.2: Meter Network Options

6.3: How to Assess Connectivity of Meters

6.4: Different Ways to Track the Status

6.5: Meter Connectivity and Data Quality

6.6: Meter Reporting Trends.

6.7: How to Use Notifications for Offline Meters

6.8: Overall Impact

Chapter 7: Data Quality

7.1: Introduction

7.2: How to Do a Quick Check on the Quality of the Meter Data

7.3: What Is the Impact of Repeated Readings?

7.4: What Do Zero Readings Mean?

7.5: Should Data Readings Increment Upward?

7.6: What Is the Impact of Fluctuations in Alternating Readings?

7.7: Does the Reading's Precision Affect My Analysis?

7.8: Can the Percentage of Base Load be a Good Benchmark for Quality?

7.9: How Do We Assess if the Multipliers are Off, and What is that Impact?

7.10: What Happens When Multiple Issues Affect a Meter?

7.11: What Is the Basic Approach to Checking the Quality?

Chapter 8: Auditing Template

8.1: Introduction

8.2: Summary of Campus and Facilities Plan

8.3: Facility Systems' Information

8.4 Executive Summary of the ECMs

8.4.1: Operations and maintenance

8.4.2: Lighting

8.4.3: Plug load: office equipment

8.4.4: Plug load: food service equipment

8.4.5: Heating and cooling

8.5: Commissioning Component of Recommendations

8.6: Developing Detailed ECMs

8.7: Summary

Chapter 9: Using Metering for Measurement and Verification (M&amp

V)

9.1: Introduction

9.2: Breakdown of Approach

9.3: Breakdown of Graphical Interval Usage

9.4: Graphical Monthly Usage

9.5: Monthly Usage

9.6: Daily Usage

9.7: Interval Usage

9.8: Measurement and Verification Tool

9.9: Summary

Chapter 10: Basic Benchmarking (First Level)

10.1: Benchmarking Guidance

10.2: Basic Plug Loads

10.3: Base Load

10.4: Resetting the Base Load

10.5: Other Building Curves to Benchmark

10.6: Summary

Chapter 11: Second-level Benchmarking (Base Load with Plug Load)

11.1: Visualizing Potential Savings from Graphs

11.2: Analyzing the Plug Load.

11.3: Base Load minus the Plug Load (Remaining Fan/Pump Systems)

11.4: Comparing Differences Between Base Load and Non-Office Hour Potential Savings

11.5: Introduce a Metric to Do Comparisons in Base Load

Chapter 12: Third-level Benchmarking (Lights and Scatter Plot Modeling)

12.1: Focusing on Lighting System Loading

12.2: How to Develop the Scatter Plot

12.3: Breaking Down the System Usage via the Scatter Plot

12.4: Compare the Lighting Loading Metrics

Chapter 13: Fourth-level Benchmarking (Fan/Pump and AC Systems)

13.1: Focus on the Last Two of the Four Systems

13.2: Break Down the Fan/Pump and AC System Usage via the Scatter Plot

13.3: Compare the Fan/Pump System Loading Metrics

13.4: Compare the AC System Loading Metrics

13.5: Calculate the AC System Efficiency

13.6: Compare AC System for Office Hours and Non-office Hours?

13.7: Compare AC Systems over Various Example Buildings

13.8: Calculate the Waterfall of Values

Chapter 14: Understanding and Troubleshooting System Overrides

14.1: System Schedule Overrides

14.2: What Causes an Override?

14.3: How Do We Fix It?

Chapter 15: Monitoring Commissioning (MCx) Process

15.1: Introduction

15.2: What is MCx?

15.2.1: Phases of MCx

15.2.2: Control sequences

15.2.3: Putting it all together

15.3: Total Building Commissioning (Cx)

15.4: Degradation Curve

15.5: Summary

Chapter 16: Evaluating the Energy Use Intensity (EUI) Value to the Energy Manager

16.1: General EUI Background

16.1.1: Weather normalized energy

16.1.2: Adjusted to current year

16.2: Value of EUI charts

16.3: EUI Compared by Total, Electric, and Gas

16.4: Summary

Chapter 17: Comparing EUI to Other Metrics

17.1: What are the Relevant Parameters?.

17.2: Top 30 Category Types

17.3: Other Ways to Compare Benchmark Metrics

Chapter 18: Setting Up for Energy Projects

18.1: Introduction

18.2: Energy Use Intensity (EUI)

18.3: Extrapolated EUI

18.4: Category Type Performance Metrics

18.5: Individual Buildings Data Quick Audit Tool

Chapter 19: Comparing Campus Consumption to Individual Building Statistics

19.1: Introduction

19.2: Value Added with Campus-wide Statistics

19.3: Square Foot Analytics

19.4: Electricity Analytics

19.5: Gas Analytics

19.6: Water Analytics

19.7: Is the Multiplier Off on an Electric Meter?

19.8: Are We Adjusting Consumption for Double-counting or for Generation Assets?

19.9: Summary

Chapter 20: Cross-referencing Three Metrics for Evaluating Buildings

20.1: Introduction

20.2: Summary

Appendix 1: The Transition of HDD and CDD Over the Last 70 Years

Appendix 2: Determine the Impact of Variance on Calculating Various Degree Day Base Temperatures

Appendix 3: Determine the Variance of Each Energy System in the Scatter Plot and the Overall Impact

Index

About the Authors.

Notes:

Description based on print version record.

ISBN:

9781523161577

1523161574

9781040010921

104001092X

9781003467113

1003467113

9788770228732

8770228736

OCLC:

1420140207