Enabling large-scale dynamic simulations and reducing model complexity of district heating and cooling systems by aggregation

Falay, Basak; Schweiger, Gerald; O’Donovan, Keith; Leusbrock, Ingo

doi:10.1016/j.energy.2020.118410

Cited by 33 publications

(12 citation statements)

References 16 publications

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“…When using aggregation, the nodes of each of the district heating network and the electrical grid should be aggregated as well. A work on aggregating the nodes of a Modelica district heating network model can be found in Falay et al (2020).…”

Section: Resultsmentioning

confidence: 99%

Energy-based Method to Simplify Complex Multi-Energy Modelica Models

Feghali¹,

Sandou²,

Guéguen³

et al. 2021

Linköping Electronic Conference Proceedings

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Energy production and consumption systems increasingly require more flexibility. The design of new control solutions can be a step, among others, towards flexibility. However, these control solutions often rely on the use of complex models, which are difficult to both manipulate and simulate. This paper presents a proof of concept of a method that reduces the complexity of multi-energy models modeled with Modelica language. This complexityreducing method is based on simplifying the model's components that contribute less to the total energy using an energy-based ranking technique. The proposed solution is successfully applied to a complex city district model. A property of the Modelica language further allows redeclaration of low-ranked components without being compelled to fully redesign the model. Criteria verifying the multi-energy reduced model's precision, while respecting physical constraints, are also introduced.

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Section: Resultsmentioning

confidence: 99%

Energy-based Method to Simplify Complex Multi-Energy Modelica Models

Feghali¹,

Sandou²,

Guéguen³

et al. 2021

Linköping Electronic Conference Proceedings

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show abstract

“…The most popular methods for aggregation are the so-called Danish and German methods, respectively. A comparison of both methods and a discussion of the potentials and limitations of the aggregation methods on 4GDH systems can be found in [56]. The methods are focused mainly on static simulations, and in the Danish case, there is no support for multiple production units.…”

Section: Topological Optimizationmentioning

confidence: 99%

Experiences from City-Scale Simulation of Thermal Grids

et al. 2021

Self Cite

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Dynamic simulation of district heating and cooling networks has an increased importance in the transition towards renewable energy sources and lower temperature district heating grids, as both temporal and spatial behavior need to be considered. Even though much research and development has been performed in the field, there are several pitfalls and challenges towards dynamic district heating and cooling simulation for everyday use. This article presents the experiences from developing and working with a city-scale simulator of a district heating grid located in Luleå, Sweden. The grid model in the case study is a physics based white-box model, while consumer models are either data-driven black-box or gray-box models. The control system and operator models replicate the manual and automatic operation of the combined heat and power plant. Using the functional mock-up interface standard, a co-simulation environment integrates all the models. Further, the validation of the simulator is discussed. Lessons learned from the project are presented along with future research directions, corresponding to identified gaps and challenges.

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“…A simple Scopus search involving the keywords "model" and either "district heating" or "district cooling" produces 20,109 and 1,230 results, respectively. While some DH research can be applied to DC -as suggested in some DH case studies [8,9,10] -there are also important differences that make DC modeling unique, such as the heightened sensitivity of cooling generation efficiency to even small changes in CHW temperature (e.g., 0.1K) [6], and "low delta-T syndrome" [11], a common energy efficiency problem among DC systems and chiller plants.…”

Section: Introductionmentioning

confidence: 99%

A Case Study on Condenser Water Supply Temperature Optimization with a District Cooling Plant

Hinkelman¹,

Wang²,

Fan³

et al. 2021

Preprint

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District cooling (DC) continues to proliferate due to increasing global cooling demands and economies of scale benefits; however, most district-scale modeling has focused on heating, and to the best of our knowledge, researchers have yet to model cooling plants featuring waterside economizers in DC settings. With the Modelica Buildings library expanding its capabilities to district scale, this study is one of the first to demonstrate how the open-source models can be used for detailed energy and control analysis of a DC plant. For a real-world case study, we developed and calibrated high-fidelity models for a DC system central plant at a college campus in Colorado, USA, and we optimized the condenser water supply temperature (CWST) setpoint for a DC plant across multiple time horizons using the Optimization library in Dymola. Results indicate that annual CWST optimization saves 4.7% annual plant energy, with less than 1% of additional energy savings gained through daily optimization. This confirms previous studies' findings that high frequency CWST optimizations are not necessary for the studied system.

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Enabling large-scale dynamic simulations and reducing model complexity of district heating and cooling systems by aggregation

Cited by 33 publications

References 16 publications

Energy-based Method to Simplify Complex Multi-Energy Modelica Models

Energy-based Method to Simplify Complex Multi-Energy Modelica Models

Experiences from City-Scale Simulation of Thermal Grids

A Case Study on Condenser Water Supply Temperature Optimization with a District Cooling Plant

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