Danfoss HeatingYour partner for urbanization efficiency

Mentor Planner – Energy Optimization and Planning tool

Leif Jakobsen, Business Development Manager, District Energy

Demand & Supply

Why District Energy with Danfoss?

Most sustainable approach Mitigation of climate changesOptimization solutions & optimal

temperature control

We believe that District Energy is the most sustainable approach for mitigation of climate changes & improving energy efficiency by providing optimization solutions & optimal

temperature control for both demand & supply side.

DEN Energy Optimization Solutions - Value Chain

HeatProduction

HeatConsumption

HeatDistribution

Primary SideMentor & Energis

Secondary SideEnspire & LeanHeat

SCADA (open) – Third party system - Enspire

HeatDistribution

Substation

Mentor Planner – Achieve more with Optimization and Planning

Mentor Planner is a Tool for optimizing and planning:

Software application solutions for:

▪ Optimization of Supply Temperature in district heating networks

▪ Optimization and Planning of Heat and Power production

Load Forecaster Supply

Temperature Optimization

Heat and Power Production

Optimization

Mentor Planner – Achieve more with Optimization and Planning

What makes the load forecaster unique is that it is based on historical data from the heating network, weather data and day types (day / holiday). It can be predicted exactly how the heat consumption in the district heating network is going to be.

Combining SCADA real-time measurements and online weather forecast data, Mentor Planner can predict heat usage today and 5 days ahead with a minimum accuracy of 95%.

The heat load forecast plays a fundamental role in planning and optimization and is available in two versions:

The standard forecast shows the total consumption of the supply zone.

The extended forecast divides the heating network into any number of zones, each with a separate heat projection and profile, summed up to the total consumption of the coverage area.

By dividing the forecast into zones you can obtain:• Possibility to use different consumer profiles per zone (industry / residential area)• Possibility of optimizing the flow temperature per zone.• Possibility of calculating time behavior during transport of thermal energy

Load Forecaster:

Mentor Planner – Better results through Optimization and Planning

Supply Temperature Optimization:

Supply temperature before Optimization

Peak Load Temperature

Optimized Supply Temperature

Safety margin 5%

Savings Potential:

▪ Big annual costs savings

▪ Reduction of heat loss by 5 to 10%

▪ Less maintenance and repair of pipeline network

due to optimized network balance (pressure,

flow and temperature)

▪ Brings energy savings according to EU

requirements

▪ Return On Investment between 1/2 to 2 years

Mentor Planner – Temperature Optimizing - Heat

Maximum mass flow

Minimum supply temperature

Expected return temperature

Maximum gradient for

change of supply temperature

Reduced energy loss in the network

Better use of ressources

Cost savings

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ns: Heat

consumption forecast

Mentor Planner

calculate the

supply

temperature

based on critical

points in the

network

Mentor Planner – obtain more by optimization and planning

Heat optimization and Power production :

Following parameters are included in the optimization:

▪ Day ahead price prediction for electricity

▪ Heat price

▪ Power and heat production costs for the CHP’s at different loads

▪ Heat production costs for the boilers at different loads

▪ Output and capacities of production units

▪ Heat consumption prediction for each zone

▪ Level and size of the heat storages

▪ Accumulated energy in the grid

▪ Any possibility of heat exchange between the zones

Savings potential:

▪ Big fuel savings. 1 to 3% cost reduction

▪ Significant time savings in production planning

▪ An optimized heat production plan up to 6 days ahead

▪ Reduction of the most costly peak load production time

Mentor Planner – Operating plan screen dump

Mentor Planner showing the plan and the accuracy of the load forecast

Mentor Planner – Achieve more by optimization and planning

Benefits combining load forecasting and energy storage:

▪ Possible to optimize the district energy production and distribution

▪ Optimization of the production of electricity regardless of the heating and cooling requirement

▪ Release the full flexibility in a CHP plant at the electricity market

▪ Being able to plan the boiler production in advance instead of responding when it is too late to

optimize

Heat and Power production optimization:

0,00

100,00

200,00

300,00

400,00

500,00

1 5 9 13 17 21 1 5 9 13 17 21 1 5 9 13 17 21 1 5 9 13 17 21 1 5 9 13 17 21 1 5 9 13 17 21 1 5 9 13 17 21 1 5 9 13

MJ/

s

Time

DH forecast compared to actual heat consumption week 45 2016

FJV prognose MW

FJV forbrug MW(NVP_FECAKF01)

Mentor Planner – Achieve more by optimization and planning

To ensure the best possible

price of energy and a reliable

supply

To achieve time savings

To collect all relevant data

To suggest the most

economical operating schedule

To reduce heat loss in the

district energy network

Mentor Planner supports the operation staff in the daily operation:

To develop and maintain the

skills of operating staff

Mentor Planner – Communication with all relevant parties

Data for planning and optimization are automatically

transferred to and from Mentor Planner by standard IT

formats

Providing the operating staff with:

▪ Weather data

▪ Data from the SCADA system

▪ Fuel data to the suppliers of coal, gas, biofuel, etc.

▪ Data from 3rd parties in the electricity market

▪ Data communication with the local TSO

▪ Data communication with a heat supplier (CHP owned by 3rd party)

Mentor Planner – Experience your savings potential

From 15 years of experience the following average savings potential has been observed

Production optimization:

▪ Big fuel savings. Reduction of costs by 1 to 3%

▪ Significant time savings in production planning

Temperature optimization:

▪ Considerable annual cost savings

▪ Reduction of heat loss by 5 to 10%

▪ Less maintenance and repair of pipeline network due to optimized

balance of network (pressure, flow and temperature fluctuations)

General:

▪ Better overview of operation of network and easy access to data

▪ Accuracy of load forecast to reach min. 95% of actual heat consumption

▪ Short ROI (Return On Investment)

Optimal networkoperation

Delivering perfectservice to yourcustomers

Optimal plantoperation

Danfoss Heating, your partner for…

• Optimization tools

• Monitoring system

• Energy transfer units - stations

• Advanced control components

Danfoss District Energy product portfolioFrom components to optimization tools & services

Network optimization

Plant optimization

Line components

Heat exchangers

Electronic controllers & heat meters

ASV

Motorized valves

Self actingdiff. pressure

controls

eTRV

Substations

Mentor

Thank you!Leif.Jakobsen@danfoss.com

Danfoss Heating, your partner for district energy solutions.

Case story

Danish district heating utility

Mentor Planner – Danish district heating utility – case story

▪ The 4th biggest utility in Denmark

▪ Consuming 1.900.000 MWh of heat

▪ Wants to save energy by reducing loss in the DH network

▪ The energy loss in the network was 19 % before optimization

▪ The solution with Mentor planner was divided into 2 steps.

By dividing the forecast into zones you get:

▪ Possibility of different profiles for each zone example: Industry versus housing▪ Ability to optimize the flow temperature in different zones

Standard forecast

A standard forecast showing the total consumption for one supply area

Extended forecast

Extended forecast where you divide the network into any number of zones with separate consumption forecast and profile

Mentor Planner is a Tool for optimizing and planning:

Mentor Planner – Danish district heating utility – case story

Step 1: Implementing the optimization of the supply temperature to reduce loss

The utility saves 184.800 Euro per

year

They divided the network into 12 individual energy

zones

They reduced the loss with 5.600 MWh in the 1st

step

They reduced the supply

temperature from 78 °C to 74 °C

Because of the tarif for the end

user, they have to balance the same temperature for

the whole network.

Facts:

Being able to calculate thelowest possible supply

temperature

Through the lower temperature to reduce loss

Make energy savings throughthe lower loss

Mentor Planner – Danish district heating utility – case story

Step 2:

Facts:

By implementing smart metering, the utility can change

the tarif for the end customer

And therefore work withdifferent supply

temperatures for every energy zone

The average supply temperature can be reduced a lot more

By working with the temperature sets for the 12 zones individually the utility can reduce the supply temperature from 74°C to 69°C

Therefore the loss can be reduced further with 8.500 MWh

per year

The value for the energy savings is 280.500 € per year

Mentor Planner – Danish district heating utility – case story

The return of investment is under 6 months

Summary:

The energy loss in the network can be reduced

17% per year

The value for the energy savings is together 465.300 € per year

By working with the supply temperature sets

for the 12 zones individually the utility can make 14.100 MWh in

energy savings

QUESTIONS?

THANK YOU FOR YOUR ATTENTION!