the future of data coming from energy meters -...

The future of data coming from energy metersEress Forum

Bart Van der SpiegelEnergy Management

13th June 2018

Framework from metering to billing

13.06.2018 The future of data coming from energy meters 2

Railway Undertaking

operates trains

EMS

0 to many

DCS

Exchange:• allocate consumption to country where

consumption took place• distribute to correct settlement system

Settlement

Infrastructure Manager

requests train-runs

Validate/estimate:• validate data coming from EMS• estimate missing data

Allocate:• allocate consumptions to the correct end user• distribute to correct actors in energy market

Energy market

data for validation, estimation

and allocation

kWh

kWh

commodity (€)

grid fee (€)

Energy Measurement

System

Data Collecting System


Multiple channels

Position at the end of

CEBD

Metering dataDefined in EN 50463-4:2017

Fixed at 5 minutes


Case 1: correct energy billing

EMS EMSMetering

data

Train-run data

918801800106 - B -EVN A EVN B

Identified by:

- Customer: based on TAP/TAF messages- Distance (km): based on detections on the infrastructure- Composition: reference to EVN’s (TAP/TAF messages)- Temperature: e.g. from weather stations of switch heating- Mass (tonnes): based on TAP/TAF messages

Estimatione.g. (33 + 0,63 * D1 + 0,63 * D2)

Wh/tonnes-km

CombiningMatch EVN’s in train with EVN’s of meters

ValidationPositions match

Consumption acceptable

AllocationInvoice based on meters

to customer from train-run data


Traction unit 73-04 Oslo to Halden, May 2006Running time 1h 45min (43- 49) , Distance 136,6 km

0

200

400

600

800

1 000

1 200

Ener

gy c

onsu

mpt

ion

accu

mul

ated

(kW

h)

139

107

115

127

107

115

127

139

107

115

127

107

115

127

133

Trainnr

Highest 1.109 kWhLowest 743 kWhDifference 366 kWh

Diff 49 %

Data of energy meters was used to compare energy consumptions of train-runs in same month and on same line.

On-board metering enables eco-driving as invoices are based on the real consumption.

Case 2: huge potential for energy savings


Case 2: huge potential for energy savingsLineas: (Measured) consumption decrease of 8,75% over the last 2 years

12,50

13,00

13,50

14,00

14,50

15,00

jan.15 apr.15 jul.15 okt.15 jan.16 apr.16 jul.16 okt.16 jan.17 apr.17 jul.17 okt.17

Wh/

tonk

m

Electricity consumption Belgium 2015-2017 (Wh/tonkm)

2015: 14,5Wh/tonkm

2016: 14Wh/tonkm

2017: 13,25Wh/tonkm

Increased consumption due to works on key axis (Aachen & Visé): elevated amount of restricted signals during detours and on single track lines

Golden ECO-driving rules

Traction + coasting (avoid cruise control)

Use of electrical brake (>10% regeneration)

Anticipate conflicts & unnecessary stops

No use of any technological aid (eg. C-DAS or Traffic Control)

Other data


1 minute, 30 seconds, …

Speed

Internal loads

Defined in EN 50463-4:2017


Energy meter can also register voltages and currents.The higher the current, the bigger the voltage drop.In normal circumstances, the voltage on a 3 kV DC network should remain above 2700 V (ENE TSI clause 4.2.4.2 regarding mean useful voltage).In case voltage drops below 2700 V, trains should automatically limit current offtake (LOC&PAS TSI clause 4.2.8.2.4 regarding maximum current from the overhead contact line).

Case 3: monitoring voltages and currents


Case 4: correlations between data

Speed diagram of cargo train (0 to 100 km/h)

GPS-position missing=> validation needed a lot of unnecessary stops

a lot of speed variations

y = 0,7253x + 7,3637

0,00

2,00

4,00

6,00

8,00

10,00

12,00

14,00

0,00 2,00 4,00 6,00

kWh/

km

Speed variations / 100 km

Correlation between stops / speed variations and specific consumption

Each extra stop increases consumption with 4%.

13.06.2018 The future of data coming from energy meters

Question only for EMS suppliers

Voting app

11

Will you add ReadingBlock to your EMS?

1. Yes, already available2. Yes, latest in 20203. Yes, if requested 4. No, not planning to do this

13.06.2018 The future of data coming from energy meters

The data of ReadingBlock is useful to Infrastructure Managers (IM) and Railway Undertakings (RU).

Voting app

12

Who should have access to this data?

1. Only the RU (that is operating the train)

2. Only the IM (for data related to its network)

3. Both IM and RU4. All concerned parties

(IM, RU, entity in charge of maintenance of traction unit, EMS-responsible, …)

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