Presentation, Validation and Application of the DistrictHeating Modelica Library

Giraud, Loïc; Bavière, Roland; Vallée, Mathieu; Paulus, Cédric

doi:10.3384/ecp1511879

Cited by 31 publications

(24 citation statements)

References 11 publications

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“…Due to the high investment costs related to DH systems, there is a great interest in simulation and planning software to find the most optimal solutions regarding production and distribution of heat [8]. There are many software tools available for simulation of DH systems; a comprehensive overview has been given in [9].…”

Section: Introductionmentioning

confidence: 99%

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Dynamic modelling of local low-temperature heating grids: A case study for Norway

Kauko

Kvalsvik

Rohde

et al. 2017

Energy

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Today's district heating (DH) networks in Norway are 2nd and 3rd generation systems, with supply temperatures ranging from 80-120 • C. In new developments, it is desirable to shift to 4th generation, low-temperature district heating (LTHD) in order to reduce the heat losses and enable better utilization of renewable and waste heat sources. A local LTDH grid for a new development planned in Trondheim, Norway, has been modelled in the dynamic simulation program Dymola in order to study the effect of lowered supply temperatures to heat losses and circulation pump energy use. Different cases with supply temperatures ranging from 55 to 95 • C, lowered return temperature as well as peak shaving were analyzed. Real DH use data for buildings in Trondheim were employed. The environmental impact in terms of the total produced CO 2 equivalent emissions was estimated for each case, assuming a heat production mix corresponding to that of the local DH provider. The results showed that by lowering the supply temperature to 55 • C, the heat losses could be reduced by one third. The total pump energy increased significantly with reduced supply temperature, however the pump energy was generally an order of magnitude lower than the heat losses.

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Section: Introductionmentioning

confidence: 99%

“…energy efficiency or exergy, costs and environmental impact is usually the main objective for such software [9]. For detailed physical modelling of DH systems, the dynamic simulation program Dymola using the object-oriented modelling language Modelica has been proven to be a flexible and efficient tool [5,8,10,11].…”

Section: Introductionmentioning

confidence: 99%

Dynamic modelling of local low-temperature heating grids: A case study for Norway

Kauko

Kvalsvik

Rohde

et al. 2017

Energy

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“…Our simulator also includes a hydronic space-heating system composed of a centralized production unit, distribution pipes and radiators each equipped with a thermostatic valve. We used the RadiatorEN442_2 model from the Buildings library and models from our own Modelica DistrictHeating library (Giraud et al, 2015) March 4-6, 2019, Regensburg, Germany distribution pipes, the centralized production unit and the thermostatic valves.…”

Section: Generalitiesmentioning

confidence: 99%

“…We also used pairs of pre-insulated tubes, available in our Modelica DistrictHeating library (Giraud et al, 2015) to model the building's internal space-heating network. These tubes account for the hydraulic head losses and thermal losses occurring in the system.…”

Section: The Space-heating Systemmentioning

confidence: 99%

Dynamic Simulation of Residential Buildings Supporting the Development of Flexible Control in District Heating Systems

Aoun¹,

Bavière²,

Vallée³

et al. 2019

Linköping Electronic Conference Proceedings

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Load shifting, peak shaving and night-time setback are key demand-side management measures to make the operation of District Heating Systems (DHSs) more flexible and efficient. These goals can be achieved through appropriate control strategies exploiting the building's and space heating system's thermal inertia. To ease the development of such an advanced controller, we programmed a detailed dynamic Modelica simulator representative of French multi-stories radiator-heated residential buildings. We parametrized the simulator to vary the factors influencing the flexibility potential of a building (e.g. envelope properties, additional internal mass such as partition walls and furniture, the heating system…). This helped us designing a reduced-order building model relevant to our application and setting up a robust identification method for its parameters. We finally used the detailed simulator to test an optimal space-heating controller, thereby allowing many incremental improvements without jeopardizing endusers thermal comfort. This simulation work paves the way to considering the actual implementation of our advanced controller on a real building.

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“…The local network will be connected to the primary high temperature DH network to cover the remaining heating demand. To evaluate the different heat supply alternatives, the local heating network was simulated with the dynamic simulation program Dymola, which is a widely applied tool for detailed physical modeling of DH systems [9,[16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Local Heating Networks with Waste Heat Utilization: Low or Medium Temperature Supply?

Kauko

Rohde

Hafner³

2020

Energies

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District heating enables an economical use of energy sources that would otherwise be wasted to cover the heating demands of buildings in urban areas. For efficient utilization of local waste heat and renewable heat sources, low distribution temperatures are of crucial importance. This study evaluates a local heating network being planned for a new building area in Trondheim, Norway, with waste heat available from a nearby ice skating rink. Two alternative supply temperature levels have been evaluated with dynamic simulations: low temperature (40 °C), with direct utilization of waste heat and decentralized domestic hot water (DHW) production using heat pumps; and medium temperature (70 °C), applying a centralized heat pump to lift the temperature of the waste heat. The local network will be connected to the primary district heating network to cover the remaining heat demand. The simulation results show that with a medium temperature supply, the peak power demand is up to three times higher than with a low temperature supply. This results from the fact that the centralized heat pump lifts the temperature for the entire network, including space and DHW heating demands. With a low temperature supply, heat pumps are applied only for DHW production, which enables a low and even electricity demand. On the other hand, with a low temperature supply, the district heating demand is high in the wintertime, in particular if the waste heat temperature is low. The choice of a suitable supply temperature level for a local heating network is hence strongly dependent on the temperature of the available waste heat, but also on the costs and emissions related to the production of district heating and electricity in the different seasons.

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Presentation, Validation and Application of the DistrictHeating Modelica Library

Cited by 31 publications

References 11 publications

Dynamic modelling of local low-temperature heating grids: A case study for Norway

Dynamic modelling of local low-temperature heating grids: A case study for Norway

Dynamic Simulation of Residential Buildings Supporting the Development of Flexible Control in District Heating Systems

Local Heating Networks with Waste Heat Utilization: Low or Medium Temperature Supply?

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