A comparison of prosumer system configurations in district heating networks

Zinsmeister, Daniel; Licklederer, Thomas; Christange, Franz; Tzscheutschler, Peter; Perić, Vedran S.

doi:10.1016/j.egyr.2021.08.085

Cited by 21 publications

(9 citation statements)

References 15 publications

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“…Commercial software engines for the simulation of dynamic processes can facilitate the modelling and simulation of hot water tanks since they nominally provide pre-defined standard models that can be quickly customised and simulated [31]. For example, a comparison of different prosumer configurations in district heating systems is carried out in [32] using 1-D tank models available in the software platform SimulationX. Further details on some popular commercial software engines for 1-D modelling and simulation of water TES tanks are provided in Appendix A.…”

Section: Modelling Of Hot Water Tanksmentioning

confidence: 99%

Experimental validation of a hybrid 1-D multi-node model of a hot water thermal energy storage tank

et al. 2023

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Section: Modelling Of Hot Water Tanksmentioning

confidence: 99%

Experimental validation of a hybrid 1-D multi-node model of a hot water thermal energy storage tank

et al. 2023

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“…Depending on the type of heat generator, it is useful to position the thermal storage tank in different ways between the heat generation and consumption [10]. The different heat distribution systems are modeled and can connect the thermal storage with the heat generators, heat consumption and bidirectional district heating substation according to the requirements.…”

Section: Thermal Storages and Heat Distributionmentioning

confidence: 99%

“…Another option would be to connect the thermal storage so that it decouples heat generators and the heating system. However, this would increase the return temperature to the heat generators and thus reduce their efficiency [10].…”

Section: Fig 9: Deviating Flow Through the Chp When Affected By Other...mentioning

confidence: 99%

Implementation of a Digital Twin of the CoSES District Heating Prosumer Laboratory

Daniel¹,

Zinsmeister²,

PeriÄ‡³

2022

Preprint

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This paper presents a digital twin for the district heating prosumer laboratory at the Center for Combined Smart Energy Systems (CoSES) consisting of heat generators, thermal storages and heat consumption. It is developed using a newly created, Modelica-based simulation library named CoSES ProHMo. Existing simulation models often fail to accurately represent the behavior of commercial hardware components. Therefore, the digital twin features new, accurate heat generator models and tuned models for thermal storage units and heat consumption. The component models are parametrized using measurements from the CoSES laboratory. It can be exported and used in other programs via the Functional Mock-up Interface (FMI). This allows the digital twin to be used platformindependently to design control strategies for realistic heating systems. If desired, the control strategies can be ported to an embedded controller and further tested in the CoSES laboratory. A case study with multiple heat generators, thermal storages and a heat sink was designed to demonstrate the utility of the library. The analysis of the results shows previously unanticipated interactions between different heat generators and the internal controllers of commercial hardware. Based on these findings, the proposed digital twin library can be used by the research community to create realistic scenarios for testing novel control strategies for heating systems and prosumers in district heating grids.

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“…One of the directions in the development of modern district heating systems (DHS) is associated with their transformation into systems of a district-distributed type, integrating various energy technologies (including renewable energy) to achieve maximum efficiency and reliability of heat supply to consumers with an optimal combination of district and distributed generation of thermal energy [1][2][3]. The sector of distributed generation in the district-distributed heating systems (DDHS) is formed primarily at the level of prosumers [4][5][6]. The implementation of prosumers with their own heating sources (HS) causes new functional properties, structure and parameters of studied systems.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic modeling of functioning of district-distributed heating systems for the reliability analysis

Postnikov

2023

E3S Web Conf.

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The study is devoted to modeling a random process of functioning of district-distributed heating systems, aimed at determining the probabilities of states corresponding to failures of their components. The probabilities of emergency states, along with the physical assessment of the consequences of failures, are used to reliability analysis and synthesis for studied systems. The basic stochastic model of the system functioning corresponds to a markov random stationary process under the conditions of the simplest events flow. Modifications of random process models are proposed, accounting the non-ordinarity events (simultaneous failures of components) and the dependence between some events (mainly, failures), if the corresponding technological possibility is established. A number of computational experiments is provided to assess the degree of influence of considered factors on the results of probabilistic modeling of studied systems.

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A comparison of prosumer system configurations in district heating networks

Cited by 21 publications

References 15 publications

Experimental validation of a hybrid 1-D multi-node model of a hot water thermal energy storage tank

Experimental validation of a hybrid 1-D multi-node model of a hot water thermal energy storage tank

Implementation of a Digital Twin of the CoSES District Heating Prosumer Laboratory

Probabilistic modeling of functioning of district-distributed heating systems for the reliability analysis

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