In-situ validation of a new sizing methodology for combined production and distribution for domestic hot water and space heating

Minnebruggen, Senne Van; Verhaert, Ivan

doi:10.26868/25222708.2021.30242

Cited by 2 publications

(2 citation statements)

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“…The sizing of the non-idealised central energy system led to a similar performance and similar savings as in the idealised centralised energy system. Moreover, the sizing method validated in [54] can be used for the examined concept to size the central heat production. However, it currently uses the standard DIN4708 [59] to determine the heat demand for DHW.…”

Section: Discussionmentioning

confidence: 99%

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Grouped Charging of Decentralised Storage to Efficiently Control Collective Heating Systems: Limitations and Opportunities

et al. 2023

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Collective heating systems have multiple end-users with time-varying, often different temperature demands. There are several concepts catering to this, e.g., multi-pipe networks and 2-pipe networks with or without decentralised booster systems. In this study, we focus on 2-pipe networks with a changing supply temperature by smart use of decentralised storage. By grouping high-temperature demands, the average supply temperature can be lowered during large parts of the day, which is beneficial for system efficiency. The actual energy-saving potential, however, can be case-specific and is expected to depend on design choices and implemented control strategies. In this paper, these dependencies are assessed and identified by implementing two optimised rule-based control strategies, providing in such a way a bench-mark for other control strategies. The results show that grouping yields energy savings of up to 36% at similar peak demand as with conventional control strategies. The energy-saving potential is greatest for large storage volumes and small networks, but large networks with large storage and proper control choices can also achieve around 30% energy savings. Moreover, high-temperature time can easily be reduced to less than 40% of the day, which could make space cooling without decentralised booster heat pumps possible, but this requires further research.

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Section: Discussionmentioning

confidence: 99%

“…To size the central energy system, the new sizing method for CHDCs [53] was used, which was recently validated in [54]. The sizing method gives all possible combinations of thermal power in kW and "active" storage capacity in kWh to meet the peak heat demand.…”

Section: Central Energy System Models: Ghp and Boilermentioning

confidence: 99%