Strategic Energy Management For Resilience

1

Overcoming the challenges of

delivering an EMISAdrian Bukmanis

DATA DRIVEN EFFICIENCY

3

Without continuous

monitored data there is

no way to ensure that

all systems operate at

the highest efficiency

under all conditions

on an ongoing basis

4Source: US DOE Better Buildings

Utility Analysis and Benchmarking

Carbon Reporting

Monitoring and Targeting

SCADA / DCS / BMS

Fault Detection and Diag

Automated Optimisation

FACILITY LEVEL

SYSTEM LEVEL

Energy Management and Information Systems (EMIS), a broad family of tools that store, analyze, and display energy use or facility systems data

5

1

2

3

45

6

AGGREGATE

UPLOAD

Sub-meter data

Airside Controls Data

Production Data

Power Quality Data

Process Data

Chiller, Boiler, Comp Air System Data

MONITOR, TARGET

AND REPORT

Select, Automate, Analyse, Action

6Source: IEMTC Training manual

VS

Management technique that should be

utilised in order to “keep operations

efficient”, these are energy management

strategies designed to drive energy costs

downwards as a continuous

improvement cycle

A process of quantifying energy consumption

before and after an energy conservation

measure is implemented in order to verify

and report on the level of savings actually

achieved

7

An equation between the energy and the variable(s) that influence it

List of variances ranked in descending order of cost

Regression Cumulative Sum Overspend Table

The difference between the actual consumption and the consumption you expect

Source: IEMTC / Carbon Trust / eSight

8Source: Techniques for Assessing Relationships (Conroy)

Managing energy without monitoring is like practicing medicine without diagnostics

Bill Holmes (‘The Father of Energy Monitoring’)

10

Do we need site or system level tools? What EnPIs or analytics are required?

Likely there are multiple incumbent vendors (controls) in-place. How best to handle?

EMIS platforms will involve information technology – best practice applies here

Connecting to existing site systems often leads to some interesting

discoveries…

What if we already have a lot of data? What is relevant and how to

find what matters

More than likely a move to automated data will involve

manual data

Data may already exist but is contained in silos – then

how?

11

Challenge 1 – Understand the Objective

Source: BPMI

12

SCADA / DCS

CHILLER

COMPRESSED AIR

BOILER

ERP / MES

POWER QUALITY

BMS / BAS

13

Embrace TCP/IP – move data from anywhere to anywhere

Respect the controls platform

Security and redundancy is vital

Maintenance and upgrades are there for a reason

Facilities IT should be allocated the equivalent level of resources as corporate systems

14

15

16

17

18

COMPRESSOR / DRYER POWER

FLOW METERS

PRESSURE SENSORS

Compare to Industry Best Practice

19

Modbus RTU to TCP

Power Meters

20

4-20mA splitters

Existing Flow Meters

21

Modbus RTU to TCP

New Flow Meters

22

ZigbeeModbus

Remote Pressure

23

Modbus RTU to TCP

Compressor Staging

24

SQL Database Connector

Transformer Meters

26Source: ETC Group

27

28Source: Energenz

29

30

32

Gap analysisSite assessment

to determine EACs

Platform evaluation &

selection

Metering and Instrumentation

(if required)

Bridge building to existing

systems

M&T & EnPIbuilding

Rules buildingSavings

identification and actioning

Results monitoring

Remember - ROI CRITERIA SHOULD

NOT BE APPLIED TO INFORMATION

SYSTEMS!

ROI CRITERIA SHOULD NOT BE APPLIED TO INFORMATION SYSTEMS!

An EMIS tells you where to start –where to focus your efforts, how to measure your efforts and to make sure they stay there!

Bill Holmes

35

Thank you

FOR TAKING ACTION