2020
DOI: 10.1016/j.energy.2020.117844
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of operational data from a district cooling system and its connected buildings

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
10
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 25 publications
(10 citation statements)
references
References 9 publications
0
10
0
Order By: Relevance
“…Due to several reasons, degradations occur over time, which deteriorates the standard temperature difference between the supply and return water that in turn affects the performance of the system. A research project was conducted on the low delta-T problem of the DCS in Gothenburg, Sweden [67]. The problem was analyzed by collecting operational data from the Gothenburg district cooling system along with chilled water systems from 37 of the connected buildings.…”
Section: Application Technology Readiness Level and Performance With A Focus On Resiliencementioning
confidence: 99%
“…Due to several reasons, degradations occur over time, which deteriorates the standard temperature difference between the supply and return water that in turn affects the performance of the system. A research project was conducted on the low delta-T problem of the DCS in Gothenburg, Sweden [67]. The problem was analyzed by collecting operational data from the Gothenburg district cooling system along with chilled water systems from 37 of the connected buildings.…”
Section: Application Technology Readiness Level and Performance With A Focus On Resiliencementioning
confidence: 99%
“…Equation ( 52) calculates the cooling power transferred with a pipeline, based on the mass flow rate and specific heating capacity of water, as well as change in the temperature of the water. Equations ( 53)-( 55) formulate constraints on node temperature, cooling power transferred through a pipeline, and capacity of cooling stations associated with each DSO, respectively [61].…”
Section: District Heating Network Modellingmentioning
confidence: 99%
“…The total daily space heating (SH) demand for each geographical zone was calculated based on the proportion of day-specific heating, in degree days [20]. Some studies also have been conducted to evaluate heat losses in DH systems by efficient transmission loads along a distribution network [21,22] as well as determining the location of thermal energy demands [23,24]. Discovering the location of huge thermal demands (large building size and high demand) in terms of DH network energy efficiency is crucial.…”
Section: Background District Heat Network (Dhn)mentioning
confidence: 99%