SAP Innovation Awards 2018 Entry Pitch Deck

Swiss Federal Railways (SBB)

Smart Power Demand Management with SAP HANA Streaming Analytics

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Swiss Federal Railways (SBB)

“With the intelligent load management program,

we designed an innovative solution, which enables

us to reduce costs and most importantly increase

the reliability of the railway power supply.”

Peter Kummer, CIO, SBB

SBB produces its own energy to power its trains. To intelligently manage power demand in its railway system, SBB collaborated with SAP Innovative Business Solutions to develop a unique solution, powered by SAP HANA streaming analytics. Monitoring data points in real time throughout the energy network, it identifies peaks when they occur, determines which loads should optimally be switched off, and conveys this information to other systems that automatically turn off heaters in train cars and on railroad switches. This enables SBB to better utilize its existing power capacity, postponing the need to build new energy infrastructure.

Smart Power Demand Management with SAP HANA Streaming Analytics

SAP HANA, SAP HANA Streaming Analytics

Collaboration with SAP Innovative Business Solutions

1/3 reduced

investment costs –

digital software

investment instead

of expensive

hardware

Reduced energy

costs for rail

transport

6 weeks rapid

prototyping to

deliver proof of

concept

Markus Halder, Head of Power Demand Management Program

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Participant Bio

Swiss Federal Railways (SBB)

Improving Energy Demand Response with SAP HANA Streaming Analytics

Markus Halder, Head of Power Demand Management Program

Partner: SAP Innovative Business Solutions

SBB is the backbone of the Swiss public transport system and one of Switzerland’s

biggest real estate companies. SBB has 33,000 employees and a revenue of €7,9

billion (2016). Serving over 1.25 million people and transporting 210,000 tons of

freight in Switzerland every day, SBB is the largest consumer of electricity in

Switzerland and requires lots of flexible power for a reliable supply. 92% of the

energy is provided by its own hydroelectricity power plants.

https://www.sbb.ch/en/

Travel and Transportation

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Solution Overview

SBB’s energy infrastructure cost scales based on use plus power reserve, and as traffic volume continues to increase and trains become more powerful, power demands are constantly rising. Moreover, SBB is exposed to sudden short-term fluctuations in power requirements, caused by SBB’s regular-interval timetable and heating requirements in particularly cold winters, to just name one example. That’s why SBB needs to design its energy infrastructure to accommodate maximum peak load - but providing enough energy during peak hours carries logistical and financial challenges.

SBB was therefore looking for a more sustainable, cost-efficient solution. As part of its long term power demand management program, SBB worked with SAP Innovative Business Solutions to create a smart, real-time power demand management platform based on SAP HANA Streaming Analytics. This solution enables SBB to monitor power demand to react immediately to power peaks by reducing the delivery of energy to loads that allow power interruption for short periods, such as heaters. This allows to shave power peaks, without sacrificing passenger comfort or system reliability.

Starting with a successful proof of concept, SBB has laid the foundation for its ongoing energy management transformation. The high performance capabilities of SAP HANA to process large volumes of data in real-time prove invaluable for future scenarios.

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Solution Details

The demand management platform is based on standard software with SAP HANA streaming analytics which forms the smart core of a complex signal processing solution. SAP HANA streaming analytics

• receives measurement data from other systems, such as SBB’s Energy Management System (EMS),

• identifies power peaks,

• determines which loads should be reduced,

• and conveys this information to other systems that automatically turn off heaters in train cars or at railroad switches for short periods of time. This happens without affecting the performance of the heating system, so passengers do not notice anything.

Not only does this have the immediate benefit of cutting cost for peaks, it also helps SBB to better leverage its existing electricity capacity and safeguard network stability. The platform is also extendable for future uses: It is planned to include power demands of drive power of trains and other energy-consuming appliances, such as cooling in train cars – thus enabling an even greater degree of flexibility and cost efficiency.

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Benefits

Business value:

Social value:

Human empowerment:

▪ 1/3 reduction in investment costs per unit of flexible power by leveraging existing assets and postponing investments in new energy infrastructure

▪ Reduced energy costs for rail transport services▪ Used a standard IT platform to build an innovative and cost-efficient power management application▪ Laid foundation to smooth demand patterns even further by extending the platform to integrate

additional energy-consuming devices

▪ Increased the reliability of energy supply for sustainable rail transport

▪ Postponed publicly financed investments in new energy infrastructure by leveraging existing assets; investment in software instead of hardware, in “Negawatt” (i.e. “negative” or “virtual” power) instead of “Megawatt” (i.e. new production assets)

▪ Smart Grid approach: Innovation for sustainable energy networks with renewable energy sources

▪ SBB’s customers can rely on a stable and efficient power network and enjoy the usual comforts of train

travel

▪ Dispatcher at SBB Energy Department are empowered: By being able to not only influence energy

production but also energy consumption, they can maximize the stability of the railway electricity supply

system.

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Architecture

IBM WebSphere

Message Broker

Energ

y

Managem

ent

Syste

m

Rem

ote

Contr

ol of

Consum

ers

SAP HANA Plattform

XSA Engine

TASE.2 interface

control

analysis

Measurement

data (power

demand)

Trigger signals:

to rail vehicles

MQ

, R

est

HANA DBSmart Data

Streaming

Logic

Data

management

Signal

Handling

MQ

, R

est

FZPF-Z (central system)

Internet Browser(SAP UI5 on Laptop)

LSS-CH (central system)

& railroad switches

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Illustration

Railway electricity grid control

SAP HANAEnergyManagementSystem

— Plausibility check— Peak detection— Trigger signal generation— HMI (Human Machine Interface)— Datalogging

Power demand management platform

Momentaneous net demand

Triggersignals for off-/-on switching

Pool of flexibly switchable power

OFF

ONEnable

Disable

Enable

Pool of flexibly switchable power

Telementryplattform for train car heaters

Telementryplattform for point-heaters

SAP Streaming

Analytics

Streams the power

data real-time to SAP

HANA

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Quote

“We have to design our railway systems to accommodate maximum peak load. But instead of

investing more in energy infrastructure, we will invest more in smart software solutions. That

way we will also improve overall cost efficiency.”

Beat Deuber, Head of SBB Energy

“By realizing our power demand management platform, we’re building the foundation for

future business needs.”

Markus Halder, Head of Power Demand Management Program, SBB

“SAP and its experts provided us with a lot of support in integrating real-time data into SAP

HANA - this has given us many advantages in terms of time to market. And of course we can

count on SAP as a reliable partner.”

Peter Kummer, CIO of SBB

“Smart Grid in the railway power supply world is becoming reality for us.”

Peter Kummer, CIO of SBB

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Deployment details

• Using agile methodology, the SAP Innovative Business Solutions team together

with SBB delivered a proof of concept in just six weeks and presented it at the

Smart Suisse Event 2017

• Close collaboration between SAP and SBB, working as a unified, agile team

from the proof of concept to the development of a SBB-specific solution on a

SAP platform

• Test data from live systems were used in realistic demo environment in first

sprint

• First version with all core functionalities deployed end-to-end in winter 2017/18,

retrofit of 4000 train cars from 2018-2023 plus connecting 3000 railroad switches

from 2018-2020.

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Additional information

Customer Testimonial Video

Business Transformation Study