2013
DOI: 10.1016/j.apenergy.2013.06.031
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Hydraulic performance of a new district heating systems with distributed variable speed pumps

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Cited by 74 publications
(44 citation statements)
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“…Up to 70% pump power can be saved by using distributed variable speed pumps to replace conventional central circulating pumps [50]. It has been proved that variable flow -variable temperature can achieve the lowest energy consumption when compared with variable flow -constant temperature, constant flow -variable temperature and constant flow -constant temperature [54].…”
Section: Pump and Operation Control Strategymentioning
confidence: 97%
“…Up to 70% pump power can be saved by using distributed variable speed pumps to replace conventional central circulating pumps [50]. It has been proved that variable flow -variable temperature can achieve the lowest energy consumption when compared with variable flow -constant temperature, constant flow -variable temperature and constant flow -constant temperature [54].…”
Section: Pump and Operation Control Strategymentioning
confidence: 97%
“…They pointed out that the hydraulic stability and controllability of the new system was greatly improved in addition to the obvious energy saving effect [13]. Nowadays, efforts connected to energy savings demand the search for new technical and scientific expertise in the field of heating techniques [14][15][16][17][18][19][20][21]. But in these literatures, the research of pipe diameter size in the two systems is not a detailed analysis.…”
Section: Introductionmentioning
confidence: 99%
“…At present, when calculating the steam flow regime in the pipes of a ring-shaped network, graph theory [8e12] and Kirchhoff's law [9,13] are used to divide the network into several loops and to analyze the hydraulic condition with numerical methods [14] respectively. Technical University of Denmark [15] and software TERMIS [16] put forward a "node method" to simulate the temperature dynamics of DH systems, Irina Gabrielaitiene et al [17] validated this method with time dependent consumer data from a Naestved DH system.…”
Section: Introductionmentioning
confidence: 99%