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Heat and electricity load changes and local system independence in future Swedish energy communities Cover

Heat and electricity load changes and local system independence in future Swedish energy communities

Open Access
|Aug 2026

Figures & Tables

Figure 1

Model structure.

Figure 2

Simulation process.

Figure 3

Building footprints and heat distribution grid layout.

Figure 4

Overview case designs.

Table 1

Case parameters.

CASECOMPONENTPARAMETERVALUESOURCE
ReferenceDH
Case 1.1Decentral PVHourly supply profilesOnly residential buildings, (Åberg, 2024)
Decentral HPsSPFsSFH: 3.3; MFH: 3; NRB: 3(DEA, 2025c)
Dimensioning factor1Assumption
Case 1.2Decentral PVIdentical to case 1.1
Decentral EVsHourly demand profilesOnly residential buildings, (Åberg, 2024)
Decentral HPsIdentical to case 1.1
Central BESSCapacity1.5 MWhDerived from (DEA, 2025a)
Hourly efficiencies (charge | discharge | storage)0.98 | 0.97 | 0.999958(DEA, 2025a)
Initial charge percentage0%Assumption
Maximum loads (charge | discharge)750 kW | 750 kWDerived from (DEA, 2025a)
Case 2.1Decentral PVIdentical to case 1.1
HDRSpace heating demand reduction40%Assumption, cf. (Savvidou and Nykvist, 2020)
CDHSpatial distribution of communitySee Figure 3Reality and assumptions
User temperatures (supply | return)60°C | 40°C(Energiföretagen Sverige, 2021, pp. 21, 24)
Burial depth60 cmCf. (Frederiksen and Werner, 2013, p. 331)
Ground temperatureProfile Uppsala 60 cmInterpolation of 40 and 100 cm from 2010
Dimensioning DHW flowPipe specific(Energiföretagen Sverige, 2021, p. 22)
Dimensioning allowed pressure loss150 Pa/m(Frederiksen and Werner, 2013, pp. 442–443, 458)
Absolute roughness pipes0.1 mm(Frederiksen and Werner, 2013, p. 444)
Dimensioning friction factor pipes0.02(Frederiksen and Werner, 2013, p. 444)
Efficiency heat exchangers0.98Cf. (DEA, 2025c)
Minimum flow in every pipe0.03 kg/sAssumption
Heat conductivity pipe insulation0.03 W/m*K(Frederiksen and Werner, 2013, pp. 77, 317)
Heat conductivity ground1.5 W/m*K(Frederiksen and Werner, 2013, p. 80)
Central HPSPF3Cf. (DEA, 2025b)
Dimensioning factor0.7Assumption, cf. (Björk et al., 2013, p. 41)
Case 2.2Decentral PVIdentical to case 1.1
HDRIdentical to case 2.1
CDHIdentical to case 2.1
Power CHPPlant typeBiogas MicroturbineAssumption, cf. (Salomón et al., 2011)
Power capacity180 kWAssumption, cf. (Salomón et al., 2011)
Power-to-heat coefficient0.3Assumption, cf. (Salomón et al., 2011)
Overall efficiency85%Assumption, cf. (Salomón et al., 2011)
Energy focus (heat vs. power)powerAssumption
Central TESCapacity1.5 MWhAssumption, based on SSR increase
Hourly efficiencies (charge | discharge | storage)1 | 1 | 0.99Cf. (DEA, 2025a)
Initial charge percentage0%Assumption
Maximum loads (charge | discharge)300 kW | 300 kWAssumption, based on actual max load used

[i] DH: Conventional District Heating; PV: Photovoltaics; HP: Heat pump; SPF: Seasonal performance factor; SFH: Single-family house; MFH: Multi-family house; NRB: Non-residential buildings; EV: Electric vehicle; BESS: Battery energy storage system; HDR: Heat demand reduction; CDH: Community district heating; DHW: Domestic hot water; CHP: Combined heat and power; TES: Thermal energy storage.

Figure 5

Reference case – space heat demand, domestic hot water and external DH heat supply.

Figure 6

Reference case – decentral electricity demand and outdoor temperature.

Figure 7

Case 1.1 – decentral electricity demand, PV supply and external electricity grid.

Figure 8

Case 1.1 – total heat and electricity data.

Figure 9

Case 1.2 – decentral EV demand, central BESS balancing and BESS charging state.

Figure 10

Case 1.2 – external electricity grid and total electricity data.

Figure 11

Case 2.1 – space heating demand and CDH heat losses.

Figure 12

Case 2.1 – CDH heat load and central heat pump supply.

Figure 13

Case 2.1 – central electricity demand, external DH grid and external electricity grid.

Figure 14

Case 2.1 – total heat and total electricity data.

Figure 15

Case 2.2 – CHP heat supply, CHP electricity supply and CHP final energy demand.

Figure 16

Case 2.2 – thermal storage balancing and thermal storage charging state.

Figure 17

Case 2.2 – external DH grid and external electricity grid.

Figure 18

Case 2.2 – total heat and total electricity data.

Table 2

Case comparison – KPIs and statistics.

KPI/CASEUNITREFERENCECASE 1.1CASE 1.2CASE 2.1CASE 2.2
Total Heat DemandGWh2.0982.0982.0982.1282.314
Total Heat SupplyGWh02.0982.0982.1111.871
Total Electricity DemandGWh0.7541.4391.5791.4570.754
Total Electricity SupplyGWh00.3180.3610.3180.835
Heat SCR%010010010095.62
Heat SSR%010010099.1877.30
Electricity SCR%083.2910089.0490.25
Electricity SSR%018.4222.8719.44100.00
Average Supply Temperature°C79.1979.19
Average Return Temperature°C52.3552.35
Annual Relative Heat Losses%33.3933.39
Figure 19

Case comparison – duration curves for total heat demand and external DH grid.

Figure 20

Case comparison – duration curves for total electricity and external electricity grid.

Language: English
Page range: 34 - 34
Submitted on: Mar 17, 2026
Accepted on: May 12, 2026
Published on: Aug 5, 2026
Published by: European Council for an Energy Efficient Economy (eceee)
In partnership with: Paradigm Publishing Services

© 2026 Davide Napolitano, Erik Hooft, Magnus Åberg, published by European Council for an Energy Efficient Economy (eceee)
This work is licensed under the Creative Commons Attribution 4.0 License.