2010
DOI: 10.1016/j.enbuild.2010.04.002
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Development of system concepts for improving the performance of a waste heat district heating network with exergy analysis

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Cited by 98 publications
(39 citation statements)
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“…At given circumstances, local communities can utilize waste heat from nearby industries in local heating networks. This has been successfully implemented in places such as Sweden, Denmark, Germany and Finland with for decades, bringing about both environmental and monetary benefits [58][59] [60]. …”
Section: Technologiesmentioning
confidence: 99%
See 1 more Smart Citation
“…At given circumstances, local communities can utilize waste heat from nearby industries in local heating networks. This has been successfully implemented in places such as Sweden, Denmark, Germany and Finland with for decades, bringing about both environmental and monetary benefits [58][59] [60]. …”
Section: Technologiesmentioning
confidence: 99%
“…An integrated energy system can also be pursued when for example waste heat from nearby industrial plants are utilized [58][59] [60]. ICESs promote local balancing as well as strategic exchange with electrical, fuel and thermal grid (see figure 5).…”
Section: Attributes Of Icess Location (Specificity)mentioning
confidence: 99%
“…Kırşehir low-energy district heating system has the limitation for the supply temperature which is supplied at 54 °C due to a local source of low grade geothermal field available at a temperature of 57 °C [13,14]. More information regarding low-energy DH systems can be found in [15][16][17][18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…One study [19] proposed a model which can serve as a basis for differential tariff determination: different price factors were calculated for heat supplied to different consumers based on the exergy losses of heat distribution. Torío et al [20] erformance of waste-heat based DHS. It was concluded that an exergy analysis has a clear added value for characterizing and improving the performance of DHS aling with exergoeconomic analyses of DHS.…”
Section: Network Descriptionmentioning
confidence: 99%