D146248

Termis
Optimization of your heating/cooling networks
Confidential Property of Schneider Electric
Presented by: Esa Kaarlampi, Schneider Electric Finland Oy

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Schneider Electric different
Page 2Confidential Property of Schneider Electric |

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Termis
Optimize Cooling and
Heating systems

Confidential Property of Schneider Electric | Page 7
Where this solution can help you:
Termis applies to cooling and heating systems
Typical customers are district cooling and heating utilities and university campuses

Get more out of your heating/cooling network investments
20 % 80 %
District Energy Plant Distribution network
Investment
?SCADA
Page 8

SCADA systems allow for a partial
monitoring of the network, but it does not
provide the option to manage the network
efficiently with fluctuations in demand
and changing weather conditions.
The Challenges…
District energy utilities are expected today
to reduce energy consumption
and CO2 emissions.
District energy managers have little or no
idea of what happens to the energy
once it leaves the plant.

…Our Solution: Termis
Termis is an advanced operation tool for
optimizing cooling and heating systems
Reduces the energy usage, costs and CO2
emissions while ensuring the required level of
service
Reduces O&M risks and costs: Predict the
network behaviour and see what will happen
before it happens
Improves service and planning: Plan ahead and
save time and money
Builds on existing data and IT: Gives existing
software systems new functionalities

Termis Overview
Benefit from a tool designed for
operators and SCADA integration into
Schneider Electric or 3rd party
systems:
Dynamic temperature optimization: Minimizes heat
losses and maximizes heat / cooling storage capacity,
all in real time
Production Scheduler: Provides the best possible
production scenario is chosen to ensure minimum
production cost at the service level required
Forecast network behaviors, what if scenarios based
on real-time data
Augmented reality: Reaches where SCADA does not
get with virtual sensors and network wide monitoring
Up to
Reduction of CO2
Up to
Reduction of energy
costs
Termis has proven to provide a positive
ROI in less than 18 months
Up to
Increase in operational
efficiency

How does Termis work?
The operator does not require any in-depth knowledge of Termis.
By scrolling back and forth on a simple button interface he can obtain the information
he need such as pressure, flow and temperature for any given point in time - in the past
or in the future.
The Termis model is fed with live information from the SCADA system.
Different variables, such as supply temperature, return temperature, pressure and flow
can be displayed. Effects of interventions, such as opening or closing of valves can be
assessed by simulations, which reveal disturbances in consumer supply.

Functional overview

T2
● Determines anchor points for the inlet temperature of the plants,
so that the total heat loss in the network is minimized
T1
T3
Tmin1, Tmin2
> While at the same time ensuring comfort temperature at the consumers
Termis Temperature optimization

Termis is the district energy plants’ tool for improving:
> Energy consumption and hydraulic performance
While reducing:
> Energy cost
> Operation cost
> Customer complaints
> Capital investments
Termis
Termis is the most advanced, effect full and extensive simulation tool
for improving system design and operation in district energy plants.

Termis Temperature Optimization

The underlying Termis model accurately calculates:
> Heat loss in the network
> Transportation time for heating from plant to consumer
> Storage capacity of the pipes and any heat storage tanks
Heat storage – eg. to accomodate morning peaks – is automatically recommended if
it is economically viable. Changes in fluctuations are handled in due time
Smooth operation at minimum cost – saves energy!

Termis Real-time color mimic

Fully integrated in
your SCADA
system
Prior knowledge
of hydraulic is not
neccesary
Easy to get
started

Benefits
> Reduction in heat loss: Typically 10% of the current heat loss
> Reliability in operation
> Fluctuations in temperature are moved into the plant instead of being at the
consumer -> saving costs in the net

Simplified savings calculation:
Reduction = 1- (((Tfo –Tout) + (Trn – Tout)) / ((Tft – Tout) + (Trt – Tout)))
Tft = Supply side temperature, not optimized
Trt = Return side temperature, not optimized
Tout = Average outside temperature
Tfo = Supply side temperature, optimized
Trn = Return side temperature, optimized (normally equal to return side temperature
not optimized)

Temperature Optimization in practice
Hørning district heating
> 22 MW
> pump maximum 420 m3/hr
> 2550 consumers industry/private
> 2 heat plants
> Hørning uses IGSS

Reduction (%) at 5°C = 8.68%
Reduction (%) at 10°C = 17.36%
Price energy = 70.59 DKK/GJ
Heat loss/year = 46 TJ
At 5°C = 8.68% x 46 TJ x 70.59 DKK/GJ = 282,000 DKK/yr
or 38,000 €/yr
At 10°C = 17.36% x 46 TJ x 70.59 DKK/GJ = 564,000 DKK/yr
or 76,000 €/yr
Temperature Optimization in practice

Max load MW Max load MW Max load MW Max load MW Max load MW Max load MW
KE 1250 Brædstrup FV 13 Brøndby 71 Albertslund 150 Johnson Space 75 EPEC Elblag 250
Murska Sobota 10 Bjerringbro 32 Randers 160 Næstved 65 Hässleholm 150 Haderslev 47
Hørning (AVA) 19 Piran 10 Kalundborg 79 Grenå 42 Trbovlje 75 Stockholm 3000
Fjernvarme Fyn 319 Høje Taastrup 150 Kjellerup 12 Landskrona 150 Tuzla 250 Tomaszow Maz 75
Aabenraa 56 Esbjerg 85 Ribe 20 Bindslev 3 Skjern 24 Evry 150
Suldrup 3 Kibæk 13 TRE-FOR 270 Velenje 150 Princeton Univ. 75 Århus 75
Holte 25 Malling (AVA) 5 Beograd 2000 Lonsdale 30 Ans 4 Skive 75
Stege 20 Odder (AVA) 32 Zabrze 250 Billund 20 Oksbøl 12 Løsning 15
Middelfart FJV 32 Ljubljana 800 Tarnobrzeg 75 Hundested 18 Vrå 8 Landskrona 150
Jesenice 75 Shetland Heat 8 Ølgod 15 Hobro 15 Katowice 800 Løgumkloster 15
Frederikshavn 56 Gdansk 800 Ringe 30 MIHO 150 Strandby 7 Vilnius 1000
Hjørring 85 Torun 400 Lemvig 30 Hedensted 15 Brørup 8 Czestochowa 250
Løgstør 12 Novi Sad 800 Christiansfeld 15 Tarm 17 Stanford 150 Ostroleka 150
Farsø 9 Maribor 150 Maribo 22 Tychy 250 Iowa 250 Szaflary 75
Aars 24 Lystrup (AVA) 26 Gråsten 9 Univ. Virginia 15 Gladsaxe 95 Holsted 15
Silkeborg 111 Høng 12 Hadsund 15 Kranj 30 Helsingør 55
SK-Varme 57 Gauerslund 10 Brønderslev 75 Tafjord 75 Dalkia Lodz 200
Gentofte 114 Univ.Texas, Austin161 Zagreb 800 Hillerød 90 Cergy 150
Operation + Optimization Licenses Sold

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