Dynamic thermo-hydraulic model of district cooling networks

Oppelt, Thomas; Urbaneck, Thorsten; Groß, Ulrich; Platzer, Bernd

doi:10.1016/j.applthermaleng.2016.03.168

Cited by 52 publications

(27 citation statements)

References 1 publication

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“…However, their model did not include system impacts of cooling loads on the whole energy system. Furthermore, Hoyo Arce et al [9] developed a method for fast modelling of district heating and cooling networks, while a dynamic thermo-hydraulic model for district cooling networks was presented in [10]. The latter can be used for answering different economic and energy efficiency-related questions in design and operation of district cooling networks.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…The latter can be used for answering different economic and energy efficiency-related questions in design and operation of district cooling networks. However, both [9] and [10] focused solely on the district cooling sector and not on the overall energy system. B.W Ang et al [11] had the tropical and sub-tropical climate conditions as the main focus when they analysed how outdoor temperature increases affected electricity consumption in Singapore and Hong Kong.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

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Modelling smart energy systems in tropical regions

Dominković

Dobravec

Jiang

et al. 2018

Energy

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A large majority of energy systems models of smart urban energy systems are modelling moderate climate with seasonal variations, such as the European ones. The climate in the tropical region is dominated by very high stable temperatures and high humidity and lacks the moderate climate's seasonality. Furthermore, the smart energy system models tend to focus on CO 2 emissions only and lack integrated air pollution modelling of other air pollutants. In this study, an integrated urban energy system for a tropical climate was modelled, including modelling the interactions between power, cooling, gas, mobility and water desalination sectors. Five different large scale storages were modelled, too. The developed linear optimization model further included endogenous decisions about the share of district versus

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Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Accepted Manuscriptmentioning

confidence: 99%

Modelling smart energy systems in tropical regions

Dominković

Dobravec

Jiang

et al. 2018

Energy

View full text Add to dashboard Cite

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“…This is currently more than any other country, but global installations are growing rapidly, particularly in the Middle East [2]. With buildings consuming 36% of global energy [3] and space cooling growing faster than any other end use [4], many are looking to DC for its energy efficiency and economic benefits [5,6,7]. Rather than individual buildings producing their cooling needs with individual air conditioning equipment, centralized plants produce chilled water (CHW) that can be distributed to multiple buildings connected to the district.…”

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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“…The need of fewer elements in the discretization also allows the plug flow model to be run much faster than the 1D model. This approach is later used by [31] to model district cooling networks where the results show it to be reliable for its implementation during the design phase or the optimization of the operation. Another model based on plug flow was developed by [32].…”

Section: Introductionmentioning

confidence: 99%

Modified finite volumes method for the simulation of dynamic district heating networks

Schwarz

Mabrouk

Silva

et al. 2019

Energy

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District Heating (DH) networks are getting closer to the concept of "Smart Grids" to deal with the contribution of new technologies and paradigms like Renewable Energy Sources, Distributed Generation and Storage, and Low-Temperature District Heating. This requires good anticipation of the system's dynamics with the objective of improving control. This work proposes a model based on the Finite Volumes method for anticipating the dynamics in DH systems. Its application to branched network topologies gives the delay between the change in the settings at the generation points and the time they are perceived by the different substation in the network, which is a prerequisite for system design, operation planning and optimal control. The model is tested in a 6 Node branched network with the main topology elements being represented (junctions, splits, etc.); real demand data is used at the consumption nodes. A comparison between the model developed by the authors and the existing Finite Volumes method is also presented for the proposed topology. These results shed light on the needs and opportunities in DH, mainly for ICT implementation, energy storage location and management, and enhanced control in the smart energy networks context.

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Dynamic thermo-hydraulic model of district cooling networks

Cited by 52 publications

References 1 publication

Modelling smart energy systems in tropical regions

Modelling smart energy systems in tropical regions

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

Modified finite volumes method for the simulation of dynamic district heating networks

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