2004
DOI: 10.1016/j.enbuild.2004.04.002
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Energy modelling of district cooling system for new urban development

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Cited by 64 publications
(22 citation statements)
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“…Consequently, DC pipes are generally larger compared with DH. A higher temperature difference may be used to lower the power consumption of the distribution pump, but this will increase the heat gains of the pipes . It is generally recommended to find optimal supply/return temperatures in order to optimize the efficiency of the generating cooling system and of the overall DC, as wrong temperature configuration may lead to an excessive energy consumption from the cooling system …”
Section: District Coolingmentioning
confidence: 99%
“…Consequently, DC pipes are generally larger compared with DH. A higher temperature difference may be used to lower the power consumption of the distribution pump, but this will increase the heat gains of the pipes . It is generally recommended to find optimal supply/return temperatures in order to optimize the efficiency of the generating cooling system and of the overall DC, as wrong temperature configuration may lead to an excessive energy consumption from the cooling system …”
Section: District Coolingmentioning
confidence: 99%
“…In the same line, Chow [9] addresses the design of a distribution network by simulating energy demand for each building type using EnergyPlus [21] and analysing global system with TRNSYS software [22].…”
Section: Demand Characterizationmentioning
confidence: 99%
“…There are several optimization methods that can effectively address these problems. These methods are the analytical approach [6][7][8][9], direct search method [10], linear quadratic programming [11], nonlinear programming method [12], heuristic optimization algorithm [3,13,14], and artificial neural networks [15]. Kaya et al [6] analysed the influence factors of the effectiveness in pumps and presented an approach for improvement.…”
Section: Introductionmentioning
confidence: 99%
“…Lu et al [7] provided some formulation and analysis based on global optimization technologies towards overall heating, ventilation, and air conditioning (HVAC) systems. For new urban development, Chow et al [8] predicted thermal demands and outlined an energy modelling methodology and decision approach to derive the most desirable scheme for a given project. Sheng and Duanmu [9] presented electricity consumption and economic analyses.…”
Section: Introductionmentioning
confidence: 99%