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Innovative Tasks for the Gasinfrastructure in the Future Dr. Jürgen Lenz, Vice president of DVGW Leoben – 21. September 2012

Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

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Page 1: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Innovative Tasks for the Gasinfrastructurein the Future

Dr. Jürgen Lenz, Vice president of DVGWLeoben – 21. September 2012

Page 2: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� vast number of renewable energy sources

� vast number of new applications

� political interference, subsidies

� increasing volatility

� declining demand on the heating market

� fossile energy esp. gas will not be a bottle neck d ue tothe huge volumes of unconventional gas

� new technologies

Structure of energy supply will change:

Page1

Page 3: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Role of gas in the future energy supply system

Power Gas

Coal

Nuclear energy

Renewable energy, wind

Natural gas

Biogas- liquid manure, renewable sources,- biomass, wood

Synthesis Gas(e.g. from coal with CO2-separation)

CO2-separation

Hydrogen

Gas and steam combined cycle plant

Cogeneration of heat and power

Utilisation of electricity energy and heat

Page 2

Page 4: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

- ca. 35% of the power will be produced on renewable basi suntil 2020

- i.e. because of the well known availabilities the installe dcapacities of wind and PV-Power will increase up to 150,0 00 MW until 2020

Ambitious expansion until 2020:

Page 3

Page 5: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Actual expansion-plans of the german federal states :installed capacity is twice of the demand capacity

Source: DENA (German Energy Agency)

Value calculated from data of federal states*

Capacity specifications by transmission system operator

Extrapolated value from actual value 2009 and rate of additions for Germany till 2020**

Page 4

Installed capacity of renewable energy (GW) in 2020

Page 6: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Model of injection profile 201? from renewable ener gy in the power grid

- Renewable energy yield a shift from demand to suply driven logistics structure.

- It is not feasible with existing grid structure .

- Therefore the construction of energy storage is urgently necessary .

0

10'000

20'000

30'000

40'000

50'000

60'000

70'000

1 501 1001 1501 2001 2501 3001 3501 4001 4501 5001 5501 6001 6501 7001 7501 8001 8501

PV Wind-Onshore Wind-Offshore

MW

h

Source: Prognos AG

Page 5

Page 7: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Only when the capacity of the renewable energy is less than the totaldemand, there will exist a chance to switch the capacity inland andabroad

� Storage is unavoidable when the capacity is above the total demand

Expansion of power grid as the solution?

Page 6

Page 8: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Stability of power grid requires a parallel structu re of

Power conversion systems to reduce the load of the power grids

Storage systems

* Re-electrification by

Centralized power stations (gas)

and

Decentralized CHP- and micro CHP-Systems

Page 8

Page 9: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

8760 Availabilty in hours per year

Allocation function of production capacity

Load management

Grid extension

Sales curve

Grid capacity

Rectangle =Yearly kilowatt hours

( ) Installed and available capacity of renewables(Wind & PV)

1

2

4

53

1. Power demand

2. Load management comes to contrains

3. Limitation of grid extension

4. Over production: switch off renewable plants

5. Peak shaving = complete use of renewable power

Enhancement of wind power requires huge storage cap acities

Page 9

Page 10: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Crucial is the construction of energy storage. The storage of chemical energy offers the biggest potential

Dis

char

ge ti

me

[h]

CAES: Compressed Air Energy Storage (Druckluftspeicherkraftwerk)PHS: Pumped Hydro Storage (Pumpspeicherwerk)H2, SNG: Hydrogen, Synthetic Natural Gas (Underground storage includes the re-

electrification in combined cycle power plant)

Source: Research Center JülichPage 10

Page 11: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Well known technology, to optimize economically for the sake of

flexibility

� Built on a few strategic grid positions

� by using exsiting infrastructure, much more economic than power

grid expansion for peak load purpose

� Very huge storage capacity

� Very high efficiency, per re-electrification through power-fed

cogeneration plant with waste heat utilisation

� Eliminates limitations for the expansion of renewable power sources

Electrolysis as the basic technology for hydrogen p roduction from peak wind energy

Page 13

Page 12: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Use as long as possible in the power grid

� Hydrogen-electrolysis and injection in gas grid(efficiency: ca. 80 %)

� In case of grid limitations (for H 2): methanation

(20 % conversion loss)

� Methanation is an important phase for producingmethane as feedstock, e.g. for chemical industry

Use of renewable power surplus according to the Ex ergy Order

Page 7

Page 13: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Intersection points between the transportation grid s of natural gas and power

Natural gas storage

Gas transportation grid > 60 bar

Power grid 380 kV

Power grid 220 kV

Page 11

Page 14: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Further development of regulations

o Today with 5% admixture

o For most grid constellations, doubling of the amount is not critical

o Research institutes investigate further possibilities to shift to higher

concentration

� Grid knowledge

o How much hydrogen can be introduced

o At which positions, esp. transit lines

� System knowledge

o How much hydrogen can be stored temporarily for discharging during

the wind-poor phase

For the subject of hydrogen, DVGW brings the best qualifications:

Page 15

Page 15: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Use of CO2 from coal electricity for methanisation of hydrogen to synthetic methane (synth. gas)

� Injection into gas grid

� CCS becomes redundant

There are further options: coal power plant will b e clean by way of hydrogen technology - CCS becomes redundant!

Page 16

Page 16: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Investment in electrolysers and accordingly methanisation is a small part

� Operation mode for peak or for continuous (band) production of H2

� Electricity pricing

� Evaluation of storage function

P2G and re-electrification must be considered together

How much does P2G cost?

Page 17

Page 17: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Combined cycle plant

� Gas turbine power plant

� Decentral cogeneration systems with inteligent waste heat utilisation

Re-electrification by:

Page 18

Page 18: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Political orientation „Meseberg“:

Gas-heating system

Power productionPower + waste heatutilization

Decentralizeelectricity supply

Centralize heat -supply

Power plantCombined heat

and power stationSingle family house

Decentalized CHP systems: higher potential of intel ligentwaste heat utilization

Page 19

Page 19: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Program for insulation of building will be further developed

� The expense will be up to € 60 billion per year till 2050

� BUT:

o The waste heat are not used with gas power plant

o By decentral cogeneration plants, the waste heat will be used

o Direct correlation to expenses for insulation

Building insulation is the central component of the energy s avingstrategy – with significant costs. The same amount of CO 2 targetcould be achieved by technologies, with low costs

Page 20

Interdependency between waste heat recovery and ins ulation of the buildings

Page 20: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Heating demand in buildings: a leverage effect only appears with existing building

Source: BMVBS 2007

115

180

215235

365

330

370

260225

0

50

100

150

200

250

300

350

400

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Anteil der Wohnfläche

He

izw

ärm

eb

ed

arf

vo

n E

FH i

n k

Wh

/m2a

bis

1

91

8

19

19

-19

48

19

58

- 1

96

8

19

69

- 1

97

7

19

78

- 1

98

3

19

84

-1

99

4

20

02

- 2

00

6

19

95

- 2

00

1

19

49

-19

57

Page 24

Percentage of living space

Heati

ng

dem

an

d o

f sin

gle

fam

ily h

ou

se i

n k

Wh

/m

2a

Page 21: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Electricity-feed operation mode for adjustment of renewable electricity

sources, integration in smart grid system

� Intelligent waste heat utilisation with substitution of today‘s electrical

utilisations

� Power production with comparable electric efficiency as gas-fired power plant

The result from this are:

Page 26

Page 22: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Storage

Storage

Natural gas

Biogas, H 2

Electricity ExportMotor, Generator

400°C

<100°C

Own use

Cooling energy/Fridge

CoolingWashing maschine

Dish washer

Tap water

Radiator

Electricity-credit

Highest primary energy efficiency, power production tailored to suit the market need

Potential of heat utilisation from cogeneration

Page 27

Page 23: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Fuell Cells

� Change the physical principle

combustion process

with the limitation

of the law of Carnot

electrochemical reaction

without this

limitation

Therefore � high conversion efficiency from gas to power

Page 29

Page 24: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Fuel cell: high efficiecy with SOFC -technology

Page 30

Source: CFCL Heinsberg

AC Export power (w)

The

rmal

pow

er (

W)

Page 25: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Programm for insulation of buildings up to 60 billion Euros p er year

till 2050 as the success of the lobby work of building and insu lation

industry

BUT:ERROR in reasoning:

The waste heat are not used with gas power plant

By decentral cogeneration plants, the waste heat will be use d, and directly

comparable with the expenses for insulation

Page 21

Page 26: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

*) Kraftwerk-Mix nach EWI/GWS/Prognos 2010 Source: Institut für Energie- und Klimaforschung -

Systemforschung und Technologische Entwicklung (IEK-STE), Prof. Hake

Accumulated for Time Duration2010 – 2050

(∆ with respect to trend)

Energy conceptES 0

Innovations-offensive GasIS 0

Innovations-offensive GasIS 3

� Additional investment

-> Heating in existing buildings

-> Heating in new buildings

-> Thermal insulation in existing buildings

-> Thermal insulation in new buildings

� Energy costs

� Benifits from cogeneration credit

� Net additional costs

� CO2 emission (cogeneration credit*)

� Specific abatement cost

187,9 billion €

-/-

-/-

185,3 billion €

2,6 billion €

-113,8 billion €

- 1,4 billion €

75,5 billion €

- 632 mio. tCO2

120 €/tCO2

72,7 billion €

69,3 billion €

3,4 billion. €

-/-

-/-

- 44,1 billion €

25,4 billion €

3,2 billion €

- 555 mio. tCO2

6 €/tCO2

99,7 billion €

69,3 billion €

3,4 billion €

27,0 billion €

-/-

- 54,9 billion €

25,4 billion €

19,4 billion €

- 642 mio. tCO2

30 €/tCO2

Economic potential of gas technologies, II

Page 33

Page 27: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Gas will play a major role for the overall energy supply system

� Energy supply will be based on power and gas grid

� H2-electrolysis reduces the volatility of power grid and enables a huge storage

capacity in combination with gas grid

� Allows an enhancement of wind power

� Decentralized efficient (micro)-CHP-systems enable the compensation of PV on

DSO-level

� Reduces power demand using waste heat

� Inteligent waste heat utilization optimizes the insulation expenditure on houses

Characteristics of the innovative concept for gas and the gas infrastructure :

Page 36

Page 28: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� P2G:

o Pilot projects, Flex-operation mode, costs degression

o Maximum permissible value of H2

o Optimization of methane synthesis (Sabatier)

� Decentral cogeneration

o optimal cogeneration for building types

o Air conditioning, further substution of electricity applications.

� Architecture smart grid for integration of cogeneration a nd

renewable energy

Future prospects:

Page 37

Page 29: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Master plan on the basis of dynamic simulation of w ind and

PV for optimal planing of:

o Electricity and gas grids, electrolysis locations,etc

o Required re-electrification capacity

o Cogeneration share estimation

o Waste heat for heating and cooling market estimation

o Assessment of alternative for today‘s electricity application

o Question of: constraints of expansion of wind and PV

Page 38

Future prospects:

Page 30: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Thank you for your attention.

Page 31: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Back up

Page 32: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Fast increase in efficiency through replacement of oldest boilers in

existing building with highest specific heat demand

� Demand downturn for gas in this sector

� Consideration of removal of gas supply

The consequences are obvious:

Page 1

Page 33: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Convergence of grids on distribution level

� Integrated energy supply system, especially by cogeneration

� Increased use of gas for electricity production

� Gas as flexibility‘s element to balance the fluctuated electricity sources

� The surplus production of electricity is stored at the next voltage level

Page 2

Rule of the game must be defined!

Page 34: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Cogeneration plants - also smaller plants - achieve the electricity conversion

efficiencies as those of the big plants

� The waste heat can contribute to reduction of insulation expenses by decentral

electricity production especially in existing building

� The results for different types of buildings have been received

Page 3

Page 35: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Gas (natural gas, biogas, hydrogen, synthetic metha ne) is an essential component of the future energy system. The 4 core e lements are:

1. Biogas as based load renewable energy

2. Intake and storage of hydrogen / sythetic methane in gas grid for the

stability of power grid

3. Electrity-fed cogernation with high efficiency for balancing wind energy and

photovoltaics

4. Intelligent use of waste heat from cogeneration to reduce insulation

expenses on buildings and to replace electricity applications in heat

production

Page 4

Page 36: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

The injection of fluctuated electricity amount inc reases significantly. This will continue

Page 5

Source: DENA – Vortrag auf dem EVU Gipfel 2010 in Heiligendamm

Wind power supply, December 2009 / January 2010

Hours

Wind power supply max. 20.000 MW, min 270 MW

Win

d en

ergy

in M

W

Page 37: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Page 6

Future prospects:

� Master plan on the basis of dynamic simulation of w ind and

PV for optimal planing of:

o Electricity and gas grids, electrolysers‘ locations,etc

o Required re-electrification capacity

o Cogenration share estimation

o Waste heat for heating and cooling market estimation

o Assessment of alternative for today‘s electricity application

o Question of: constraints of expansion of wind and PV

Page 38: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� electrical heat pump with increasing higher renewable share and electrical

efficiency of combined cycle power plant

+ heat from Environment

� Cogeneration plants with high electricity conversion

+ intelligent waste heat utilisation + renewable share i n feedstock

Challenge of the system:

Page 7

Page 39: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Intake capacity of natural gas grid for hydrogen – s ome assumptions

� Ca. 1000 TWh energy was distributed through natural gas grid in year 2010

(electrivity grid ca. 580 TWh)

� Intake capacity of natural gas grid for different scenari os:

1) 100% of wind energy production of year 2009 would be added to the natural gas

grid, average hydrogen percentage is 7,8 Vol.-%

2) 20 % of wind energy production from IEKP (Integrate Energy and Climate

Programe) target 2020 (ca. 15 TWh/a) as the accepted surplus electricity would

be added in natural gas grid, average hydrogen percentage of 4 Vol.-%

Page 14

Page 40: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

The structure of energy demand in households is (st ill) strongly characterised by heat demand

78%

2%

9%

2%

2% 1%1%

5% Raumwärme

Beleuchtung

Elektrogeräte

IuK-Geräte

Kraft

Sonstige

Warmwasser

Kochen

Quelle: Prognos 2007Source: Prognos AG 2007

Page 22

Page 41: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

The updating of legal guidelines indicates a furthe r drop of energy demand in buildings

Source: BEE 2009

Page 23

WSVO: Wärmeschutzverordnung (Thermal Insulation Directive)EnEV: Energieeinsparverordnung (Energy Saving Directive )

Exi

stin

g B

uild

ings

Page 42: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Electrical heat pumps become more interesting with renewab leenergy share and better electrical efficiency in power pr oduction

The solution is:

Cogeneration with high electrical efficiency PLUS intelligent waste heat utilisaitonPLUS renewable components in feedstock

The challenge of the systems has increased. Gas mus t find its new position there

Page 25

Page 43: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

15

20

25

30

35

40

45

50

0 1000 2000 3000 4000 5000 6000 7000 8000

Pel. in kW

Eta

el.

in %

10

15

20

25

30

35

40

45

0 50 100 150 200 250 300

Pel. in kW

Eta

el.

in %

Erdgas, Magermotor

Erdgas, 3 Wege-Kat

Dieselmotor

Electrical efficiency of combined heat and power pl ants

Potential:Future natural gas-combined heat andpower generation plant will reachapproximately the electrical efficiency oftoday‘s diesel plants.

(Source: Manufacture data)

Today‘s situation

Page 28

Page 44: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Gas cleaning

Airblower

Power Management

System

Fuel Cell Module

Water treatment

FlueIncluding waste heat recovery

Example: SOFC technology in 2kW -rangeUpdate by simplification

Srouce: CFCL Heinsberg

Page 31

Page 45: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Integration of renewable energy in our energy suppl y can only succeed by way of a systematic approach!

Macro level: primary energy, usage paths

Grid level: Smart grids

Heat market, Heating and cooling: Heat- and system-

integration

Page 34

Page 46: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

� Active part for balancing of energy supply of a region (Dispa tching

Center)

� Multi-loop control system

� Cogeneration with electricity-feed and good modulation re places part

of the otherwise required electricity storage

� Virtual power plant

The networking of different sub areas of energy su pply will be realized by smart gas grid

Page 35

Page 47: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Intake capacity of natural gas grid for hydrogen – s ome assumptions

� Ca. 1000 TWh energy was distributed through natural gas grid in year 2010

(electrivity grid ca. 580 TWh)

� Intake capacity of natural gas grid for different scenari os:

1) 100% of wind energy production of year 2009 would be added to the natural gas

grid, average hydrogen percentage is 7,8 Vol.-%

2) 20 % of wind energy production from IEKP (Integrate Energy and Climate

Programe) target 2020 (ca. 15 TWh/a) as the accepted surplus electricity would

be added in natural gas grid, average hydrogen percentage of 4 Vol.-%

Page 14

Page 48: Innovative Tasks for the Gasinfrastructure in the Future · 2017. 3. 16. · Model of injection profile 201? from renewable energy in the power grid-Renewable energy yield a shift

Research center has developed a scenario with incre ased use of

cogenration but without optimized waste heat utilisa tion

Insulation thickness were investigated for differen t building types

corresponding with cogeneration-waste heat utilisat ion by Modelika

Optimization: insulation investment vs. system engin eering

Page 32