hitachi iot solutions for utilities - t-systems multimedia ......the electricity market is changing:...

Energy Solutions EMEA-CIS –confidential- © Hitachi Europe Ltd. 2017. All rights reserved.

Hitachi Europe Ltd.

Energy Solutions Group EMEA-CIS

Dr. Olaf Heil

General Manager

Hitachi IoT Solutions for Utilities

IoT Days 2017

Frankfurt, 18.10.2017


European Energy Market Overview

2

Energy Solutions EMEA-CIS –confidential- © Hitachi Europe, Ltd. 2017. All rights reserved.

The Electricity Market is Changing

3

Power Production Capacity


The Electricity Market is Changing Rapidly

Global investments into renewable energy generation (bn$)

Renewable investments exceed fossil fuel investments in

2015

Germany: 2015: 36% Renewable Energy

New energy systems: • Volatile

• Low density and utilization

• High gradients

Energy Transition “Energiewende“ • Huge renewable capacity

• Need flexible back-up generation

• Reduced operation of conventional systems

• Grid instability


The Electricity Market is Changing: Consequences

5 This creates Risk & Opportunities Source; ZfK

Runtime of Combined Cycle Gas

Turbine (CCGT) Summer 2009 and Summer 2012

Marginal costs

EUR/MWh

Capacity GW

Demand GW

Low Level of Wind & Solar Power

Wind, Solar

Hydro

nuclear lignite

Hard coal

Natural gas

Marginal costs

EUR/MWh Oil

Capacity GW

Changes of Merit-Order Curve by RES

High Level of Wind & Solar Power

wind,

solar, hydro

Wind, Solar

Hydro

nuclear

lignite

Hard coal

Natural gas

Oil

Demand Limit Demand Limit


Power Prices are a mirror of the new Eco-System

Renewables causing:

• Volatility in supply

and market prices

• Number of trades

and risks increase

Key Finding:

Customers need new

IoT-solutions

that deliver asset and

market optimization


Hitachi Power Generation and Trading Optimizer

7


Optimize Use of Supply Flex in Energy Trading

8

Futures Market (EEX)

Secondary Balancing Market (SRL)

Minute Reserve Market (MRL)

EPEX Day Ahead Hourly Auction

EPEX 15min Intraday Auction

Continuous Trading (Hour, 15 min)

Weather

Feeds

IoT

Market

Feeds

Generation &

Trading

Optimiser

External Feeds

Trading Optimizer

Flex Model

Plant Constraints

Flex

Subsidies

Fuel Heat

Lifecycle

Plant Operation

Schedule

Power Markets

Liv

e T

rad

ing P

lan


What Approaches Have We Used?

9

Some of the machine learning techniques and analysis that we have applied to energy data

Neural networks for

continuous trading

market prediction

Multivariate

regression for

auction price

forecasting

Cluster analysis

for asset modelling

and derivation

Multivariate

stochastic

optimisation for

non-linear

asset optimisation

Factorial markov

modelling for

complex asset

steering

Behavioural trading strategies

for renewables

© Hitachi Europe Ltd. 2015. All rights reserved.

PoV District Heating CHP Plants

3 plants, each serving a single district heating

network

Total combined generation is 6.3 MW(el). Output is

determined by heat requirement and currently not

driven by electricity market opportunity.

7

9.3

6

6

6

0,8

0,8

0,3

14

14

6

0,6

0,6

0,2

0,6

4,9 8,6

Biogas Plant

Heat

District Heating

Network

Biogas

Gas Engine

(electricity + heat)

Gas Turbine

(electricity + heat)

Boiler

(heat only)

Key


Heat demand GT (HETO) GT (Original)

Biogas (HETO) Biogas (Original)

Optimized GT Operation

GT outage

GT min heat output

Additional flex time GT

Original

HETO

Uplift of Profitability by 25+% on DAHA, IQA and CT

Biogas supply, heat demand, High

Efficiency District Heat and PEF

constrains have to be considered

New operations of GT


Predictive Analytics for Generation Assets

12


Predictive Analytics for Generation Assets

13


IoT-applications for public service provider

15

Electricity

Heating

Water Supply

Wastewater

Waste Collection

Waste Treatment

Airconditioning Public

Transport

Trains

Street

Light

Parking areas

Public

Security

Communication

Networks

Natural

Gas

Network operation

Asset management

Metering

Data management and handling


Hitachi IoT-solutions for utilities: an outlook

Cloud Platform Software as a

Service

Expandable

across markets

Revenue

Sharing Model

IoT connected eco-system creates entire

value chain optimisation. Energy market growth

from $7B to $24B by 2020. (MarketAndMarkets

research 2016)

Hitachi Energy Value Chain:

- Generation & Trading Optimisation - 25%+ increase in profitability by optimising

distributed, renewable generation and trading

using IoT (Germany Stadtwerke POV 2016)

- Consumption – Hitachi saving $200m in

energy consumption for global telco over 6

years (US)

- Predictive Analytics – forecasting the

failure of assets by 80% hit-rate> lower costs

for O&M and better energy procurements

- Smart Grid - Jump-Start Maui optimising

use of renewable energy and contribute to low-

carbon infrastructure in island

- Wind Forecasting – India production

forecasting of wind park installations

- Hitachi Technology – Storage,

Renewables, EV infrastructure

Growth in distributed

renewable energy

Changing policy

and investments

Implications of

climate change

Developments of

IoT technologies

Energy Sector Tipping Point Created By:

16

Energy Solutions EMEA-CIS –confidential-

Dr. Olaf Heil

General Manager

Energy Solutions EMEA-CIS

Am Seestern 18, 40547 Düsseldorf, Germany

Mobil: +49 173-9946838

Email: [email protected]

hitachi iot solutions for utilities - t-systems multimedia ......the electricity market is changing:...

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