Modeling low temperature district heating networks for the utilization of local energy potentials

Heissler, Karl Martin; Franke, Lude; Nemeth, I.; Auer, Thomas

doi:10.1002/bapi.201610038

Cited by 3 publications

(2 citation statements)

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“…The models allow bidirectional flow. Heissler et al [11] present a modelling approach for the simulation of a low temperature district heating network with seasonal heat storage, collectors and buildings. The approach combines the simulation environments Dymola with the Modelica Buildings library and TRNSYS [33] with the help of the Building Controls Virtual Testbed [59].…”

Section: Previous Work On Low Temperature Networkmentioning

confidence: 99%

Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization

et al. 2018

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Bidirectional low temperature networks are a novel concept that promises more efficient heating and cooling of buildings. Early research shows theoretical benefits in terms of exergy efficiency over other technologies. Pilot projects indicate that the concept delivers good performance if heating and cooling demands are diverse. However, the operation of these networks is not yet optimized and there is no quantification of the benefits over other technologies in various scenarios. Moreover, there is a lack of understanding of how to integrate and control multiple distributed heat and cold sources in such networks. Therefore, this paper develops a control concept based on a temperature set point optimization and agent-based control which allows the modular integration of an arbitrary number of sources and consumers. Afterwards, the concept is applied to two scenarios representing neighborhoods in San Francisco and Cologne with different heating and cooling demands and boundary conditions. The performance of the system is then compared to other state-of-theart heating and cooling solutions using dynamic simulations with Modelica. The results show that bidirectional low temperature networks without optimization produce 26% less emissions in the San Francisco scenario and 63% in the Cologne scenario in comparison to the other heating and cooling solutions. Savings of energy costs are 46% and 27%, and reductions of primary energy consumption 52% and 72%, respectively. The presented operation optimization leads to electricity use reductions of 13% and 41% when compared to networks with free-floating temperature control and the results indicate further potential for improvement. The study demonstrates the advantage of low temperature networks in different situations and introduces a control concept that is extendable for real implementation.

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Section: Previous Work On Low Temperature Networkmentioning

confidence: 99%

Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization

et al. 2018

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“…This concept is adopted in this research article and implemented within the simulation model. In the recent years, modelling of DHN by using Modelica increased (Heissler et al, 2016;Fuchs et al, 2013). Also, HiL simulations with Modelica are currently conducted (Baltzer et al, 2014;Knorr et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Comparison of a usual heat-transfer-station with a hydraulic modified version under the aspect of exergy saving

Vannahme

Ramm

Ehrenwirth

et al. 2019

Linköping Electronic Conference Proceedings

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In this paper, a modeling approach for comparing two heat-transfer-stations (HTS) is presented. By comparing a usual HTS with a modified HTS, where the return temperature on primary side of the district heating network (DHN) is used for heating the domestic warm water (DWW), it can be shown that utilizing the return flow of the heating positively contributes to a reduction of temperatures within a DHN and in this way saves exergy. The simulation model is implemented in Modelica.

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A novel dynamic simulation model for the thermo-economic analysis and optimisation of district heating systems

Barone

Buonomano

Forzano

et al. 2020

Energy Conversion and Management

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Modeling low temperature district heating networks for the utilization of local energy potentials

Cited by 3 publications

References 1 publication

Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization

Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization

Comparison of a usual heat-transfer-station with a hydraulic modified version under the aspect of exergy saving

A novel dynamic simulation model for the thermo-economic analysis and optimisation of district heating systems

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