Das ist der Titel der Präsentation Digital refurbishment ... Euroheat/11_180926-2-Technology... ·...

Das ist der Titel der Präsentation

01. Januar 2016

Digital refurbishment of District Heating Systems:

the case of Bolzano within SINFONIA project

Helsinki

26th September 2018Technology: Making DHC Great Again! Upgrading Networks for

High Performance

Musterkapitel, Beispielthema

17.11.2015 Seite 2

Global District Energy Days

26.09.2018 Slide ‹N›


26.09.2018 Slide 3

Planimetria Bolzano 1986


26.09.2018 Slide 4

Year Pipe Length

Capacity

1986 7 km 30 MW

2018 20 km 75 MW

2025 60 km 280 MW


26.09.2018 Slide 5


26.09.2018 Slide 6

Sinfonia EU Project

Bolzano DH system


17.11.2015 Seite 7


26.09.2018 Slide 7

The Digitalisation process


26.09.2018 Slide 8

Bolzano DH: Previous architecture


26.09.2018 Slide 9

How was it?

• Many data monitored

• Plant operation use

• No monitoring

• No control

• Few data

• Hardly usable


26.09.2018 Slide 10

Bolzano DH: Current architecture


26.09.2018 Slide 11

How is it?

• Heat Load forecaster

• Optimal production control

• Production scheduling

• Real time monitoring

• Temperature optimization

• Pumps use optimization

• Real time overview

• Easy data analysis

• Consumers awareness


17.11.2015 Seite 12


26.09.2018 Slide 12

First Results


26.09.2018 Slide 13

Supply: Forecast

0

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0:00 12:00 0:00 12:00 0:00 12:00 0:00 12:00 0:00 12:00 0:00

°CMW

Load Load forecast T T forecast

Actual Forecast

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0:00 12:00 0:00 12:00 0:00 12:00 0:00 12:00 0:00 12:00 0:00

W/m

2

m/s

Wind Wind forecast Solar radiation Solar radiation forecast

Actual Forecast


26.09.2018 Slide 14

Supply: Scheduling

0

50

100

150

200

Sto

red

En

erg

y -

MW

h

days

Optimised

Actual

0

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Pro

du

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po

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MW

days

TES

WtE

CHP

Network

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Pro

du

ced

po

we

r -

MW

days

WtE

CHP2_th

CHP

Network


26.09.2018 Slide 15

Distribution: Monitoring


26.09.2018 Slide 16

Distribution: Optimization

0

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15:30 17:30 19:30 21:30 23:30 1:30 3:30 5:30 7:30 9:30 11:30 13:30 15:30

MW°C

T sup

T sup*

T ret

T ret*

Heat

Heat*

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15:30 17:30 19:30 21:30 23:30 1:30 3:30 5:30 7:30 9:30 11:30 13:30 15:30

kWm3

/h

Flow

Flow*

Power

Power*

- 17,7 %

+ 4,4 %

- 17,4 %


26.09.2018 Slide 17

Demand: Control

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5:00:00 11:00:00 17:00:00 23:00:00 5:00:00

kW°C

T sup

T ret

Heat


26.09.2018 Slide 18

Demand: Alarms

Reduced temperature supply on consumer

Target temperature on consumer not met

Decreased differential temperature on consumer

Too low differential temperature on consumer

High peak heat load on consumer


17.11.2015 Seite 19


26.09.2018 Slide 19

So what?


26.09.2018 Slide 20

So what?

• Load forecasting▪ Production Scheduling▪ Optimisation of supply units

• Monitoring▪ Control of operation▪ Optimisation of distribution parameters

• Real time data▪ Improved consumer satisfaction▪ IoT integration


17.11.2015 Seite 21


26.09.2018 Slide 21

Alessandro [email protected]

Alperia Spaalperiagroup.eu

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