SLIDE 1
Agenda
- Introduction
- Observed network area
- Optimization of heating devices in households
- Optimization of heating grid
- Investment considerations
- Conclusion
devices and heating grids with benefits for energy suppliers and - - PowerPoint PPT Presentation
devices and heating grids with benefits for energy suppliers and - - PowerPoint PPT Presentation
Joint utilization of demand side flexibility of heating devices and heating grids with benefits for energy suppliers and customers Markus Puchegger Agenda Introduction Observed network area Optimization of heating devices in
SLIDE 2
SLIDE 3
Introduction β role of thermal flexibilities
- What can 1 kWh do?
- How high the mass of 1 t can be lifted?
π = π β π β β bzw.
π πβπ = β
- To which speed the mass of 1 t can be accelerated?
π =
1 2 β π β π€Β² bzw. π€ =
2βπ π
- How many degrees 1 mΒ³ of water (~ 1 t) can be warmed/heated up?
π = π β ππ β ππ bzw.
π πβππ = ππ
=> ~367 m => ~ 85 m/s ~ 306 km/h => ~0.86Β°K
SLIDE 4
Introduction β existing thermal flexibilities
concrete: ~0.4-0.8 mΒ³/mΒ² Thermal storage capacity of concrete: 2.200 kJ/mΒ³K e.g. with 100 mΒ² living space Thermal storage capacity of building 90 β 180 MJ/K 21.000 β 42.000 l
SLIDE 5
Introduction - conclusions
- temperature change of existing thermal masses have a high
potential for energy storage
- for facilitation of these potential for the electrical system it is
necessary to use/create more linking points from electricity to thermal facilities/applications β PtH in every form
- to act system benificial, PtH-facilities and -applications have
to be intelligent and interconnected (part of the smart grid)
- (economic) incentives have to be found to facilitate
existing PtH-applications for optimization
- Business cases for new PtH-applications should be
found
SLIDE 6
The observed network area
not relevant district heating electric heat generation Grid area (electricity and heating)
boiler house
SLIDE 7
Optimization of heating devices in households
within the limits of the heat storage simulation in 15-min time steps for each type of household
SLIDE 8
Optimization of heating devices in households
Type of household Surplus per household for customer Surplus per household for supplier Number of households within this type Surplus for all household within this type Surplus for supplier within this type Overall surplus Average
- verall
surplus per household [-] [β¬/a] [β¬/a] [pcs] [β¬/a] [β¬/a] [β¬/a] [β¬/a] DW-1 10.51 1,409 14,808.59 14,808.59 10.51 DW-2 51.64 183 9,450.12 9,450.12 51.64 DW-3 68.42 183 12,520.86 12,520.86 68.42 DW-4 106.21 853 90,597.13 90,597.13 106.21 SFH-1 56.70 32 1,814.40 1,814.40 56.70 SFH-2 70.69 32 2,262.08 2,262.08 70.69 SFH-3 103.85 144 14,954.40 14,954.40 103.85 SFH-4 75.49 60.81 4 301.96 243.24 545.20 136.30 SFH-5 76.11 80.84 4 304.44 323.36 627.80 156.95 SFH-6 182.47 272.48 16 2,919.52 4,359.68 7,279.20 454.95 SFH-7 25.83 169 4,365.27 4,365.27 25.83 SFH-8 22.41 20.08 19 425.79 381.52 807.31 42.49 Sum baseline 3,048 3,951.71 156,080.65 160.032,36 52.50 Sum PV expansion scenario 3,048 11,050.20 158,411.62 169,461.82 55,59
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Optimisation of heating grid
- System efficiency for PtH
- Electric direct heating:
π»πππ = π
- High temperature heat pump:
π»πππ = π
- Wholesale prices for wind feed in without promotional tariffs would
have been
- 29.36 β¬/MWh exluding balancing costs arising from wind energy
- 24.51 β¬/MWh including balancing costs arising from wind energy
- Alternative heat generation costs were varied between 40 and 80 β¬/MWh
within the limits of the heat storage simulation in 15-min time steps
SLIDE 10
Optimization of heating grid
PtH by wind PtH by PV surplus PtH by wind + PV surplus PtH Dimensioning
SLIDE 11
Money savings through PtH per year using wholesale market price for wind and PV-surplus Money savings through PtH per year using wholesale market price for wind and PV-surplus including network charges Annual money savings through PtH using a heat pump applying wholesale market prices for wind and PV-surplus, including network charges
SLIDE 12
Investment considerations - households
SLIDE 13
Investment considerations β heating grid / household optimation
2 MW wind + PV SP 500 kW PtH boiler no network charges 6 MW wind + PV SP 500 kW PtH heat pump
- incl. network charges
2 MW wind + PV SP 500 kW PtH boiler no network charges 6 MW wind + PV SP 500 kW PtH heat pump
- incl. network charges
SLIDE 14
Conclusions
- Optimization in households has to be done by a low
cost approach or with another added value (e.g. building automation)
- Target costs for PtH are strongly connected with the
scenario and the PtH-technology
- High amount of connected wind power leads to higher savings per
year for heating grid
- High common heat generation costs are positive for PtH-solutions
- For PtH-solutions which has to pay network charges, the efficiency of
the PtH-device should be higher than 1 (usage of heat pumps)
- For investment decisions, detailed planning and
estimation of future prices (energy, network charges) is necessary
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