• ROBERT F. B. MUBIRU

• PROJECTS MANAGER

• UMEME LTD

• UGANDA

AMR IN REVENUE PROTECTION

The Umeme Experience . . .

UMEME . . .

Largest distribution company in Uganda

Operates a 20 year Concession via a single-buyer model

Distributes 99% of the electricity up to 33kV

Cross-listed on two stock exchanges (Kenya, Uganda)

Professionally Regulated Energy Sector

UMEME Quick Stats . . .

Parameter UoM Details

2014 2015

Customer Base (avg) No. 573,000 630,000

Peak Demand MW 510 540

Sales (p.a.) GWh 2,750 3,060

Loss (* Dec’13, ** Q1-2015) (%) 24.3* 19.8**

Share Price (USE) Ushs 365/= 483/=

Employee(s) No. 1,400 1,380

• Losses down from 38% in 2009

DISTRIBUTION TRANSMISSION GENERATION

UMEME Distribution Targets . . .

Parameter UoM 2018

Loss (%) 14.7

Operating Costs (DOMC) USD Preset

Revenue Collection Rates (%) (%) 99.0%

• Company Is Collection agent for the sector

• Incentivized for strong Commercial performance

APPLYING AMR

The Challenge & Approach . . .

Strategy – Preparation

• Administrative Efforts:

Region (6), Districts (25)

Business Unit Model (local accountability & knowledge)

• Separate Losses Profile (2012 Study):

Commercial – 17%,

Technical – 6%

• Boundary Metering (Energy Balancing):

Intercompany

Business Unit

Strategy – Pertinent Data

Customers Base: by Categorization and Impact

Category Qty Sales Revenue

GWh % Sh (bn) %

kVA Industrial 2,777 121.0 61.9 56.6 55.9

Commerical 10,940 18.2 9.3 10.4 10.3

Domestic 669,300 56.3 28.8 34.2 33.8

683,017 195.5 101.2

KEY FOCUS

AREA..!

Strategy – One (2014 – Presentation)

1. Domestic

Characteristics / Impact:

Account for: Sales – 29%, Revenue – 33%

Large Numbers, Endemic Theft Culture (hooking)

Low Individual Consumption, Low Earnings, Low Returns

Poor Networks: Quality

Approach

Refurbish Networks (Inject Txs, Short LV spans, etc)

Retrofit LV networks with ABC

Roll Out Prepayment (1-phase & 3-phase up to 100A)

[RESULTS OF THIS INITIATIVE WAS SHARED IN 2014]

Strategy – Two

2. Industrial & Commercial

Characteristics / Impact

Account for: Sales – 71%, Revenue – 67%

Non-Standard, Low Quality Installations

Established Revenue Streams BUT High Theft Incentive

Have: “A name to protect”

Approach “Secure: High Value Customer Revenues”

Install AMR / AMI Systems

Install Pre–wired SMART Meter boxes

Closer Engagement: RM, DM, Customer Service Engineer

APPLYING AMR

The Implementation . . .

PROJECT BRIEF SUMMARY

Project Value: USD 24m (Investment)

Installations: 13,000

Scope: Industrial, Commercial

Loss Drop (GWh): 56.0 (equiv – USD 6m)

OBJECTIVES . . .

1. Prompt identification of power theft

2. Automated, Timely & Accurate meter reading and

billing for the LPU category

3. Secure remote access for LPU meter installations

4. Timely & Accurate verification of Off-Taker Invoices

5. Revenue and Customer Service Improvements

INSTALLATIONS – PHILOSOPHY

OLD / EXISTING

Weak Material

(Ordinary Mild Steel)

Exposed Hinges

Easily Breached Doors

Direct Access to ALL Components

Not Monitored

PRE–WIRED

3CR12 Steel (tougher, flexible)

Embedded doors

Hidden hinges and movable parts

Separated compartments

Two (2) stage access

Remotely monitored function, performance

INSTALLATIONS – OLD / EXISTING

MULTIPLE METER – BOX

SINGLE METER – BOX

INSTALLATIONS – PREWIRED BOX

HT KVA METER – BOX

LV KVA METER – BOX

TYPICAL INSTALLATION

SYSTEMS: PRE–WIRED MONITORING

IMON - SYSTEM

Graphical GPS Location of Enclosure

Controlled & Monitored Access

Remote Opening

Real Time Alerts – SMS / Email

Database of ALL Events

Zoning for ease of Administration

MECHANICAL KEYS & RFID TAGS

RFID Tags

Mechanical Keys

SYSTEMS: PRE–WIRED MONITORING

SYSTEMS: AMR / AMI

ECWIN - SYSTEM

Automated / Manual Remote Meter Reading

Database of Interval Meter, Billing Cycle Data

Customizable Computation Routines

Customizable Access Rights

Graphical / Tabular Displays

SMS / Email – Alerts for Critical events

Web Access Interface – Customer Consumption data

Scalable to 50,000 customers (current = 13,000)

SYSTEMS: AMR / AMI

SYSTEMS: AMR / AMI Date Time k Wh_Peak k Wh_Off-Peak k Wh_Shoulder kvarh PF k VA Import_k W Q1_Inductive_Import_kvar Events

05/10/2015 147.5399933 114.33 0.7904501 373.3063 295.0799866 228.6600037

05/10/2015 149.6399994 115.26 0.79223412 377.76712 299.2799988 230.5200043

05/10/2015 150.9600067 116.46 0.79176921 381.32324 301.9200134 232.9199982

05/10/2015 146.1000061 113.4 0.78996325 369.89063 292.2000122 226.800003102:11 Auto Collect LP success,

02:10 TCP could not connect,

05/10/2015 148.4400024 116.7 0.78614187 377.64175 296.8800049 233.3999939

05/10/2015 150.4499969 118.23 0.78626937 382.69327 300.8999939 236.4600067

05/10/2015 151.3800049 119.22 0.7856155 385.37936 302.7600098 238.4400024

05/10/2015 144.2400055 115.5 0.78058362 369.56964 288.480011 231

05/10/2015 145.3800049 116.79 0.77959591 372.96246 290.7600098 233.5800018

05/10/2015 145.3500061 115.92 0.78181249 371.82828 290.7000122 231.8399963

05/10/2015 148.9499969 116.49 0.78770918 378.18527 297.8999939 232.9799957

05/10/2015 122.5199966 98.19 0.78032792 314.02182 245.0399933 196.3800049

05/10/2015 23.54999924 22.41 0.72442317 65.01725 47.09999847 44.81999969

05/10/2015 13.26000023 14.07 0.68584853 38.667427 26.52000046 28.13999939

05/10/2015 11.78999996 12.54 0.68498403 34.42416 23.57999992 25.07999992

05/10/2015 15 13.68 0.73886931 40.602581 30 27.36000061

05/10/2015 15.23999977 13.95 0.73763615 41.321186 30.47999954 27.89999962

05/10/2015 15.21000004 13.68 0.74351287 40.913887 30.42000008 27.36000061

05/10/2015 16.70999908 14.58 0.75349778 44.353149 33.41999817 29.15999985

05/10/2015 15.60000038 14.22 0.73903906 42.216984 31.20000076 28.44000053

05/10/2015 15.84000015 14.73 0.73229933 43.260998 31.68000031 29.45999908

05/10/2015 16.68000031 15.42 0.73429692 45.431213 33.36000061 30.84000015

05/10/2015 16.37999916 15.03 0.73681796 44.461456 32.75999832 30.05999947

05/10/2015 17.25 15.84 0.73656899 46.838791 34.5 31.68000031

05/10/2015 15.32999992 14.58 0.72460985 42.312424 30.65999985 29.15999985

05/10/2015 17.85000038 17.22 0.71969318 49.604473 35.70000076 34.43999863

05/10/2015 11.01000023 13.62 0.62865603 35.027103 22.02000046 27.23999977

05/10/2015 10.68000031 13.23 0.62813175 34.005604 21.36000061 26.45999908

05/10/2015 13.94999981 13.71 0.71321535 39.118618 27.89999962 27.42000008

05/10/2015 14.27999973 14.34 0.70562285 40.47488 28.55999947 28.68000031

05/10/2015 13.77000046 13.56 0.71251905 38.651596 27.54000092 27.12000084

05/10/2015 14.34000015 14.1 0.71304852 40.221664 28.68000031 28.20000076

05/10/2015 14.25 13.98 0.71383709 39.925076 28.5 27.95999908

05/10/2015 13.52999973 13.74 0.70164073 38.566746 27.05999947 27.47999954

05/10/2015 14.25 14.52 0.70043987 40.688717 28.5 29.04000092

05/10/2015 4.980000019 9.87 0.45046702 22.110386 9.960000038 19.73999977

ADMINISTRATIVE

Projects

Manager

AMR Centre

Manager

(1)

AMR Centre

Engineers

(2)

Billing

Officer

Supervisor

Installations

(2)

Insp

Tech

(2)

Inst

Tech

(8)

Project

Administrator

(1)

STEERING COMMITTEE

PROJECT TEAMS

Regional

Manager

Commercial

Losses Sup

(n)

Cust Serv

Eng

(n)

District

Manager

(n)

Loss

Redctn Mgr

Billing

Mgr

DISTRICT / USERS

Cust Serv

Eng Mgr

Tech

Officer

Inst

Sup

Commissioning &

Verification

Supervisor

(1)

Installations

Coordinator

(1)

Tech

Officer

Engagement

Coordinator

(1)

Project

Clerk

(1)

AMR Centre

ANalysts

(2)

SYSTEMS: AMR / AMI

ITEM REGIONS AMR

CENTRE IT

Customer Engagement DM PM -

24 / 7 Monitoring & Response DM CM -

Programming/Access Rights Admin - PM

CM -

Keys, Seals, TAG(s) Management DM - -

Hardware Support - - SD M

Software Support - - SWS M

Contractual Support - - IT PM - Roles for each function clearly spelt out

- Processes developed and implementation on–going

APPLYING AMR

The Initial Results . . .

PROJECT RESULTS

FY PROJECTIONS - 2014

Loss Reduction: 8GWh (USD 1.05m)

Installations 1,325

Investment: USD 8m

CHALLENGES

Late Start: Industrial action, Procurement cycle

Project Mobilization (6 months)

PROJECT HIGHLIGHTS

RESULTS (Q4 – 2014)

Loss Reduction: 4.8 GWh (USD 0.6m)

Installations: 310

Investment: USD 3m

Extrapolated Potential FY:

20 GWh (approx. USD 2.5m)

PROJECT HIGHLIGHTS

RESULTS (Q4 – 2014)

Loss Reduction: 4.8 GWh (USD 0.6m)

Installations: 310

Investment: USD 3m

Extrapolated Potential FY:

20 GWh (approx. USD 2.5m)

PROJECT CASE HIGHLIGHT

A. FLOWER FARM

Prior Average Consumption: 45,000 kWh p.m.

Post Installation Consumption: 150,000 kWh p.m.

B. HOTEL

Prior Average Consumption: 25,000 kWh p.m.

Prior Max Demand, Load: 100 kVA, 140A

Post Installation Consumption: 55,000 kWh p.m.

Post Installation Load: 180 kVA, 250A

SUMMARY

1. Strategy Focus Correct: Secure LPU Revenues

2. Project Concept viable

3. Aggressive Roll Out – Planned

2015: 2,000 Installations

2018: 13,500 Installations

4. Leverage Benefits for each Stakeholder impacted by project:

Customer – Power resolution, Consumption Data Shareholder – Revenue Recovery / Protection