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Intelligent facility management & energy efficiency systems

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Facilities’ Energy Challenges from an Intelligent Perspective Intelligent Facility Management & Energy Efficiency Systems SATCHNET ELECTRONIC SYSTEMS Local SystemsIntegration Experts Firas Obeido CEM
Transcript
Page 1: Intelligent facility management & energy efficiency systems

Facilities’ Energy Challenges from an

Intelligent Perspective

Intelligent Facility Management &

Energy Efficiency Systems

SATCHNET ELECTRONIC SYSTEMSLocal Systems’ Integration Experts

Firas Obeido CEM

Page 2: Intelligent facility management & energy efficiency systems

Who We Are?

A Leading Facility Automation Systems’ Integrators with A Major Vision to Step In & Change the

Local Perception of Energy Management Solutions

Page 3: Intelligent facility management & energy efficiency systems

Power Monitoring

& Management

Metering and Monitoring

Variable Speed Drives

Power Quality (UPS)

LightingSchedule Based Lighting Control

Facility AutomationHVACWater & PumpingEnergy Management

SecurityDigital Video ManagementAccess ControlIntrusion Detection

Design

&

Installation

Operations

&

Maintenance

Evaluation

&

Retrofit

Single Source Solutions throughout the Facility Life Cycle

Fire and Life Safety

Service & Maintenance (CMMS)

Complete Facility Solutions

For All Phases of your

Facility

Page 4: Intelligent facility management & energy efficiency systems

The Challenge

The life cycle cost of a Facility

Page 5: Intelligent facility management & energy efficiency systems

A Peek at the Solution

Measure it

Control It

Manage it

Page 6: Intelligent facility management & energy efficiency systems

Oth

ers

..

Security

&

Fire

Fuel

Managem

en

t

Wate

r

Lig

hting

Pow

er

Managem

en

t

HV

AC

Contr

ols

Integrated Facility Management System

High Performance Green

Facility

Page 7: Intelligent facility management & energy efficiency systems

Fault Detection and

Diagnostics (FDD)

Page 8: Intelligent facility management & energy efficiency systems

Automated Demand

Response (ADR)

Page 9: Intelligent facility management & energy efficiency systems

Automated Measurement

& Verification (M&V)

Page 10: Intelligent facility management & energy efficiency systems

Energy Information

Systems (EIS)

Energy Information

Systems

Facility Owners,

Developers,

Occupants,

Consultants

Facility Managers, Operators, Financial Managers

Energy Efficiency Service

Providers &

Suppliers

Government Utilities, Policy

Makers

Page 11: Intelligent facility management & energy efficiency systems

Intelligent Energy

Management Triangle

Page 12: Intelligent facility management & energy efficiency systems

Visualization

Page 13: Intelligent facility management & energy efficiency systems

Performance Indicators

Page 14: Intelligent facility management & energy efficiency systems

Energy Saving Through BMS

ECM # 1 : Occupancy Time

Scheduling

10-20%

Page 15: Intelligent facility management & energy efficiency systems

Case Study: Packaging Industrial Company

(PIC)

Operations & Actual Energy Savings

Page 16: Intelligent facility management & energy efficiency systems

Boiler Stop

after 1000

second

Pump Stop

after 1800

second

Shut down timers

are user

adjustable

Page 17: Intelligent facility management & energy efficiency systems

System start the

most energy

efficient chiller first

Chiller plant will start

if only one film

machine is working

Petra chiller start when

water temperature more

than 16 (14+2)

And stop when water

temperature less than

12 (14-2)

All these value are

user adjustable

Only when it needed

Hiross chiller (less

efficient chiller ) start

only Petra chiller can't

keep cold enough water

temperature

Page 18: Intelligent facility management & energy efficiency systems

The schedule

weekly plan

Page 19: Intelligent facility management & energy efficiency systems

This time

schedule start at

Saturday at 09:00

AM

And stop at

Thursday 11:00

PM

Page 20: Intelligent facility management & energy efficiency systems

Special event

configured for

next Thursday

Since it will be

labor day holiday

Page 21: Intelligent facility management & energy efficiency systems

Weekly schedule

remain as it is

except May

2,2013 it will be

stop

Page 22: Intelligent facility management & energy efficiency systems

List of trend logs

Page 23: Intelligent facility management & energy efficiency systems

One or more

value can be

display at once

Depending on

the purpose of

the report

There are several

type of the output

report

Page 24: Intelligent facility management & energy efficiency systems
Page 25: Intelligent facility management & energy efficiency systems

Se the period of

the data

Set the report title

Page 26: Intelligent facility management & energy efficiency systems
Page 27: Intelligent facility management & energy efficiency systems

The data can be

saved

Exported data

can be viewed

and formatted in

common program

Page 28: Intelligent facility management & energy efficiency systems

All data in one page

Make it easy to monitor the

operation

Page 29: Intelligent facility management & energy efficiency systems

Energy Saving Report

88,831.00 87,457.40

March - Dec. 2011 March - Dec. 2012

Energy (MWH) 1,354.84 1,333.89

Production TON 2,856.72 3,821.73

.KWH/Ton 474.26 349.03

1,3

54

.8

1,3

33

.9

2,8

56

.7

3,8

21

.7

474.3 349.0 -

500.00

1,000.00

1,500.00

2,000.00

2,500.00

3,000.00

3,500.00

4,000.00

4,500.00

Electricity for PIC SAVING = 32,555.6 = 27%

JO

D 2

60

,26

1.0

0

JO

D 3

15,9

21.1

6

JO

D 2

57

,80

7.3

1

JO

D 5

8,1

13

.85

JO

D 3

0,0

00

.00

JOD -

JOD 50,000.00

JOD 100,000.00

JOD 150,000.00

JOD 200,000.00

JOD 250,000.00

JOD 300,000.00

JOD 350,000.00

2011 ActualCost Before

BMS

2012 ExpectedCost Before

BMS

2012 ActualAfter BMS

Saving BMSInstallation

Cost

2011 Actual Cost BeforeBMS2012 Expected CostBefore BMS2012 Actual After BMS

Saving

Simple Payback (ROI) = 6.2

Months

Saving = 58,113.85 JOD = 18.4

%

Page 30: Intelligent facility management & energy efficiency systems

Intelligence Out of the

Data

0

5

10

15

20

25

30

35

0

100000

200000

300000

400000

500000

600000

-367 1978 4521 1878 2052 3089 4428 3507 5691 5778

Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Oct-12 Nov-12 Dec-12

Variables Analysis

Sum of KWH Sum of KG Sum of Average Tempe (°C)

Page 31: Intelligent facility management & energy efficiency systems

Thank You

Firas Obeido

Questions??


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