OE3i ApS
Hunderupvej 48
DK-5000 Odense C
APPENDIX 3
THE DISTRIBUTION OPTIMIZATION MODULE FOR DISTRICT-HEATING NETWORKS
1.1
Overall overview
The Distribution optimization module for district-heating networks is a module that can
handle multi-fitted district-heating networks with any number of heat-producing units
such as power stations and heating units regardless of fuel type.
The Distribution optimization consists of two subsystems which can be used independently.
The module can handle any number of heating zones in a district-heating network and
each heat-producing unit can be connected directly to one or more zones. This also
applies to stored energy that can be placed in the zones as needed.
Sensors in the network enable the inclusion of the temperature stoppers in the optimization. Furthermore it is possible to calculate the time lag between the combined heat
and power units and the inputs to the various zones.
1.2
Optimization of combined heat and power units and district-heating networks
The module prepares a near optimal total schedule for the combined heat and power units and boilers in the city for up to 6 days (including the present day). The optimization can include an optional
base load and any number of other load points for combined heat and power units. Boiler load options are assumed to be continuous from 0 to maximum capacity.
In order to calculate this optimized schedule, the following data is required:
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februar 2016
An hourly district heating forecast for the network zones in the optimization
period. (The forecasts are calculated back in time to the combined heat and
power units’ placement and are summed up there.)
An hourly spot price forecast in the optimization period.
The heat storage charge level at the start of the optimization period and the
storage maximum and minimum values.
The price of heat (for the consumers).
Electricity and heat Distribution costs for the combined heat and power units'
load points.
Heat-Distribution costs of the various boilers.
Start and stop gradients for combined heat and power units at different load
points.
Start and stop gradients for the different boilers.
If it is to be included in the optimization, the ability to transfer heat from one
zone to another must be known.
Side 1 af 2
OE3i ApS
Hunderupvej 48
DK-5000 Odense C
1.3
District-heating network optimization
An optimization for the boiler operation in the district-heating network is calculated from a given
heat Distribution schedule from the combined heat and power units for up to 6 days (including the
present day). The boilers’ load options is assumed to be continuous from 0 to maximum capacity.
In order to calculate this optimized schedule, the following data is required:
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1.4
An hourly district heating forecast for the network zones in the optimization
period.
An hourly heat Distribution schedule for the combined heat and power units
(usually the heat is transported from the accumulators). The price of heat from
the combined heat and power units must be supplied in an hourly interval. If
the price depends on the Distribution volume (and consumption), this data
must also must also be supplied in an hourly interval.
The price of heat (for the consumers).
Heat Distribution costs of the various boilers.
Start and stop gradients for the different boilers.
If it is to be included in the optimization, the ability to transfer heat from one
zone to another must be known.
Extended functionality
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The differentiation of consumption types in the local forecast model is included and reflected
in the heat Distribution and the heat profile.
The system is able to calculate the time lag of heat consumption in relation to the source
The system is able to handle the energy stored in the system in the form of temperature
stoppers
The characteristics of the Distribution sources are automatically calibrated from the difference between historical data and plans. In part load situations, t he automatic calibration is
taken into account.
The units marked out in the SCADA system are not included in the calculation. The units
whose operating status deviates too much from the selected plan are automatically disabled
in the SCADA system.
februar 2016
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