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@INPROCEEDINGS{Boghetti_CISBAT2023_2023,
         author = {Boghetti, Roberto and K{\"{a}}mpf, J{\'{e}}r{\^{o}}me},
       keywords = {benchmarks, district heating networks, energy, pydhn, sustainable urban planning},
          title = {A benchmark for the simulation of meshed district heating networks based on anonymised monitoring data},
      booktitle = {Journal of Physics: Conference Series},
         volume = {2600},
           year = {2023},
      publisher = {IOP Publishing Ltd},
            url = {https://iopscience.iop.org/article/10.1088/1742-6596/2600/2/022008},
            doi = {10.1088/1742-6596/2600/2/022008},
       abstract = {With the increasing interest in District Heating Networks (DHNs) as a potential
solution to decarbonize heating, new simulation tools are being developed, raising the need for
standardized benchmarks to validate their performance. Currently, the main benchmark used
for DHN simulation models is the DESTEST, which consists in an inter-model comparison on
the simulation of a toy radial network. However, no common benchmarks based on monitoring
data from a meshed network exist at the moment, which would be needed to complement
the DESTEST. To address this issue, this paper presents aggregated monitoring data from a
medium-sized meshed DHN and proposes a benchmark based on this data. While aggregating
the data and assuming steady-state conditions is not a suitable strategy for representing locally
high dynamic behaviours, applying the benchmark to an existing simulation tool showed that
the simulation results are coherent with the published monitoring data, as a low difference in
temperature across most available sensors is found. The published data and the proposed
benchmark aim to encourage the development of more accurate models for DHNs and to
facilitate the evaluation of the performance of different simulation tools and enable their
optimization, which will ultimately lead to more efficient and reliable DHNs},
            pdf = {https://publications.idiap.ch/attachments/papers/2023/Boghetti_CISBAT2023_2023.pdf}
}