2008
DOI: 10.1016/j.enconman.2007.11.010
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Energy efficiency in pumps

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Cited by 147 publications
(53 citation statements)
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“…In a typical high-rise water supply system, a pipe pressure drop from P L,0 to P L,1 corresponding to a flow rate from v 0 to v 1 due to the number of showerheads connected can be approximated by Equation (10), where P L /L e = 0.1-0.5 kPa m −1 with an equivalent pipe length range L e = 100-300 m [22,23].…”
Section: Simulationsmentioning
confidence: 99%
See 1 more Smart Citation
“…In a typical high-rise water supply system, a pipe pressure drop from P L,0 to P L,1 corresponding to a flow rate from v 0 to v 1 due to the number of showerheads connected can be approximated by Equation (10), where P L /L e = 0.1-0.5 kPa m −1 with an equivalent pipe length range L e = 100-300 m [22,23].…”
Section: Simulationsmentioning
confidence: 99%
“…Better water delivery system designs, such as employing energy efficient pumps and adopting effective maintenance and replacement schedules, are proven to reduce energy use and thus CO 2 emissions [10,11]. A study reported that energy consumed by many existing high-rise water supply systems could be reduced by up to 50% via water storage tank relocations [12].…”
Section: Introductionmentioning
confidence: 99%
“…It has been shown that using VSDs is mostly the best solution in many applications such as agricultural buildings (Teitel et al 2008) to energy saving and reduction of energy losses (Kaya et al 2008). In addition, among all of the successful methods and strategies managers have for minimizing the energy costs is the use of VSDs (Tolvanen 2008).…”
Section: Drive Lossesmentioning
confidence: 99%
“…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. By using measured data, the potential energy saving opportunities, investment costs, and payback periods are calculated.…”
Section: Introductionmentioning
confidence: 99%