Publication | Open Access
Optimal Design of District Heating Networks with Distributed Thermal Energy Storages – Method and Case Study
40
Citations
2
References
2020
Year
Distributed Energy SystemEngineeringEnergy EfficiencyUrban EnergyDistributed Energy GenerationThermal Energy StoragePiping NetworkOptimal System DesignEnergy DistributionDatacenter-scale ComputingStorage SystemsRenewa-ble Energy SystemEnergy OptimizationSystems EngineeringEnergy NetworksElectrical EngineeringComputer EngineeringOptimal DesignHeat TransferGeothermal SystemsSmart GridEnergy ManagementSustainable EnergyEnergy TransitionCase StudyDistrict Heating NetworksThermal EngineeringEnergy Economics
District heating systems have a great potential for supporting the energy transition towards a renewa-ble energy system, and could also be an option in less dense populated urban districts and rural communities with a medium heat density. In these cases, distributed thermal energy storages at each building could improve the overall system performance by enabling a leaner sizing of the piping sys-tems due to peak-shaving and reducing the heat losses of the distribution grid. But how can distribut-ed storages already be considered within the design of the district heating network itself? And what are the quantitative benefits with respect to the district heating piping system? This paper answers these questions and presents an open-source optimisation approach for designing the piping network of a district heating system. This includes the optimisation of the network topology, the dimensioning of the pipes, and the consideration of distributed storage options. A linear mixed-integer program-ming model with a high spatial resolution including heat storages at each customer has been imple-mented. Within the QUARREE100 project, the approach is demonstrated on a real world case of an existing district with 129 houses in the provincial town Heide in Northern Germany. In the scenario with 1 m³ heat storages, the thermal losses of the district heating network can be reduced by 10.2 % and the total costs by 13.1 %.
| Year | Citations | |
|---|---|---|
Page 1
Page 1