Skip to main content
Top

2017 | OriginalPaper | Chapter

20. Electrical Energy Consumption Forecasting to Improve Energy Efficiency of Water Distribution Systems

Author : Gheorghe Grigoras

Published in: Energy Harvesting and Energy Efficiency

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The energy management problem is essential in optimal planning and operation of water distribution systems. This problem involves establishing the operation schedule for all water hydrophore stations from the system. One of the available policies for improving energy efficiency is related to the decrease of electricity consumption. This supposes two important aspects: the upgrading of the water distribution system and use of software packages order to ease the decision making process. Two approaches based on clustering and decision trees are proposed for electrical energy consumption forecasting in the water distribution systems. The comparative studies were realized using a database of 85 urban water hydrophore stations belonging to a Romanian water distribution company. Based on these results, it can be considered that the new proposed approaches have the ability to constitute an IT infrastructure which can be actively used for improving energy efficiency in water distribution systems.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Olsson G (2012) Water and energy nexus. In: Encyclopaedia of sustainability science and technology. Springer, New York Olsson G (2012) Water and energy nexus. In: Encyclopaedia of sustainability science and technology. Springer, New York
5.
go back to reference Martin Delgad A (2012) Water footprint of electric power generation: modeling its use and analyzing options for a water-scarce future. Master of Science in Technology and Policy Thesis, Massachusetts Institute of Technology Martin Delgad A (2012) Water footprint of electric power generation: modeling its use and analyzing options for a water-scarce future. Master of Science in Technology and Policy Thesis, Massachusetts Institute of Technology
6.
go back to reference Farley J, Gaddis E (2007) An ecological economic assessment. In: Restoring natural capital: science, business and practice. Island Press, Washington D.C. Farley J, Gaddis E (2007) An ecological economic assessment. In: Restoring natural capital: science, business and practice. Island Press, Washington D.C.
9.
go back to reference Boulos PF, Wu Z, Orr, CH, Moore M, Hsiung P, Thomas D (2001) Optimal pump operation of water distribution systems using genetic algorithms. In: American water works association distribution system symposium Boulos PF, Wu Z, Orr, CH, Moore M, Hsiung P, Thomas D (2001) Optimal pump operation of water distribution systems using genetic algorithms. In: American water works association distribution system symposium
10.
go back to reference Barry JA. Watergy: energy and water efficiency in municipal water supply and wastewater treatment cost-effective savings of water and energy. Barry JA. Watergy: energy and water efficiency in municipal water supply and wastewater treatment cost-effective savings of water and energy.
11.
go back to reference Anton A, Perju S (2004) Monitoring the main parameters of a water supply pumping station over ten years. In: 6th International conference on hydraulic machinery and hydrodynamics Anton A, Perju S (2004) Monitoring the main parameters of a water supply pumping station over ten years. In: 6th International conference on hydraulic machinery and hydrodynamics
15.
go back to reference Pulido-Calvo I, Gutiérrez-Estrada JC (2011) Selection and operation of pumping stations of water distribution systems. Environ Res J 5(3):1–20 Pulido-Calvo I, Gutiérrez-Estrada JC (2011) Selection and operation of pumping stations of water distribution systems. Environ Res J 5(3):1–20
16.
go back to reference Cutore P, Campisano A, Kapelan Z, Modica C, Savic D (2008) Probabilistic prediction of urban water consumption using the SCEM-UA algorithm. Urban Water J 5(2):125–132CrossRef Cutore P, Campisano A, Kapelan Z, Modica C, Savic D (2008) Probabilistic prediction of urban water consumption using the SCEM-UA algorithm. Urban Water J 5(2):125–132CrossRef
17.
go back to reference Feldman K (2009) Aspects of energy efficiency in water distribution systems. In: 5th IWA Water Loss Reduction Specialist Conference, pp 85–89 Feldman K (2009) Aspects of energy efficiency in water distribution systems. In: 5th IWA Water Loss Reduction Specialist Conference, pp 85–89
18.
go back to reference Ionescu GC, Ionescu DS (2005) The optimization of energy consumption in water supply systems. Acta Electrotehnica 46(4):191–194 Ionescu GC, Ionescu DS (2005) The optimization of energy consumption in water supply systems. Acta Electrotehnica 46(4):191–194
19.
go back to reference Grigoras G, Istrate M (2011) An efficient clustering method in evaluation of the electric energy consumption from water hydrophore stations. Int Rev Model Simul 4(2):813–818 Grigoras G, Istrate M (2011) An efficient clustering method in evaluation of the electric energy consumption from water hydrophore stations. Int Rev Model Simul 4(2):813–818
20.
go back to reference Sârbu I (1997) Energetic optimization of the water distribution systems. Publishing House of the Romanian Academy, Bucharest Sârbu I (1997) Energetic optimization of the water distribution systems. Publishing House of the Romanian Academy, Bucharest
21.
go back to reference Szychta L (2006) Energy consumption of water pumping for selected control systems. Electr Power Qual Util J 12(1):67–73 Szychta L (2006) Energy consumption of water pumping for selected control systems. Electr Power Qual Util J 12(1):67–73
22.
go back to reference Wagner J, Shamir U, Marks D (1988) Water distribution reliability: analytical methods. J Water Resourc Plann Manage 114(3):253–275CrossRef Wagner J, Shamir U, Marks D (1988) Water distribution reliability: analytical methods. J Water Resourc Plann Manage 114(3):253–275CrossRef
23.
go back to reference Zessler U, Shamir U (1989) Optimal operation of water distribution systems. J Water Resourc Plann Manage 115(6):735–751CrossRef Zessler U, Shamir U (1989) Optimal operation of water distribution systems. J Water Resourc Plann Manage 115(6):735–751CrossRef
24.
go back to reference Magadan M, Rivas J (2011) The impact of energy consumption on the benefit functions of enterprises: proposal of an energy efficiency indicator. Environ Eng Manage J 10(12):1831–1834 Magadan M, Rivas J (2011) The impact of energy consumption on the benefit functions of enterprises: proposal of an energy efficiency indicator. Environ Eng Manage J 10(12):1831–1834
25.
go back to reference Cartina G, Grigoras G, Bobric EC (2005) Clustering techniques in fuzzy modelling, Application in power systems. Venus Publishing House, Iasi Cartina G, Grigoras G, Bobric EC (2005) Clustering techniques in fuzzy modelling, Application in power systems. Venus Publishing House, Iasi
26.
go back to reference Bobric EC, Cartina G, Grigoras G (2009) Fuzzy technique used for energy loss determination in medium and low voltage networks. Electron Electr Eng 90(2):95–98 Bobric EC, Cartina G, Grigoras G (2009) Fuzzy technique used for energy loss determination in medium and low voltage networks. Electron Electr Eng 90(2):95–98
27.
go back to reference Cartina G (2000) Artificial intelligence modelling techniques in power system control. Model Optim Mach Build Field 1(7):254–257 Cartina G (2000) Artificial intelligence modelling techniques in power system control. Model Optim Mach Build Field 1(7):254–257
28.
go back to reference Steitz T, Haubrich HJ, Bovy A (1993) Reliability evaluation of power distribution systems with local generation using fuzzy sets. In: 11th power systems computation conference, Avignon, France Steitz T, Haubrich HJ, Bovy A (1993) Reliability evaluation of power distribution systems with local generation using fuzzy sets. In: 11th power systems computation conference, Avignon, France
29.
go back to reference Quinlan JR (1986) Induction of decision trees. Mach Learn 1(1):81–106 Quinlan JR (1986) Induction of decision trees. Mach Learn 1(1):81–106
30.
go back to reference Yu Z, Haghighat F, Fung BCM, Hiroshi Y (2010) A decision tree method for building energy demand modelling. Energy Build 42(10):1637–1646CrossRef Yu Z, Haghighat F, Fung BCM, Hiroshi Y (2010) A decision tree method for building energy demand modelling. Energy Build 42(10):1637–1646CrossRef
32.
go back to reference Timofeev R (2004) Classification and regression trees (CART): theory and applications. Master’s thesis, Humboldt University, Berlin Timofeev R (2004) Classification and regression trees (CART): theory and applications. Master’s thesis, Humboldt University, Berlin
33.
go back to reference Loh WY (2008) Classification and regression tree methods. In: Encyclopaedia of statistics in quality and reliability. Wiley, pp 315–323 Loh WY (2008) Classification and regression tree methods. In: Encyclopaedia of statistics in quality and reliability. Wiley, pp 315–323
34.
go back to reference Lu X, Yang Z, Dong A (2005) Electricity market price spike forecast with data mining techniques. Electr Power Syst Res 73(1):19–29CrossRef Lu X, Yang Z, Dong A (2005) Electricity market price spike forecast with data mining techniques. Electr Power Syst Res 73(1):19–29CrossRef
35.
go back to reference Reston JC, Affonso CM, Oliveira RCL (2009) Pricing analysis in the Brazilian energy market: a decision tree approach. In: 2009 IEEE Power Tech, Bucharest Reston JC, Affonso CM, Oliveira RCL (2009) Pricing analysis in the Brazilian energy market: a decision tree approach. In: 2009 IEEE Power Tech, Bucharest
36.
go back to reference Razaee MR, Lelieveldt BPF, Reiber JHC (1998) A new cluster validity index for the fuzzy C-means. Pattern Recogn Lett 19(3/4):237–246CrossRefMATH Razaee MR, Lelieveldt BPF, Reiber JHC (1998) A new cluster validity index for the fuzzy C-means. Pattern Recogn Lett 19(3/4):237–246CrossRefMATH
37.
go back to reference Halkidi M, Batistakis Y, Vazirgiannis M (2001) On clustering validation techniques. J Intell Inf Syst 17(2/3):107–145CrossRefMATH Halkidi M, Batistakis Y, Vazirgiannis M (2001) On clustering validation techniques. J Intell Inf Syst 17(2/3):107–145CrossRefMATH
38.
go back to reference Gordon AD (1999) Classification, 2nd edn. Chapman & Hall, NewYorkMATH Gordon AD (1999) Classification, 2nd edn. Chapman & Hall, NewYorkMATH
39.
go back to reference Rousseeuw PJ (1987) Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J Comput Appl Math 20:53–65CrossRefMATH Rousseeuw PJ (1987) Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J Comput Appl Math 20:53–65CrossRefMATH
40.
go back to reference Istrate M, Grigoras G (2010) Energy consumption estimation in water distribution systems using fuzzy techniques. Environ Eng Manage J 9(2):249–256 Istrate M, Grigoras G (2010) Energy consumption estimation in water distribution systems using fuzzy techniques. Environ Eng Manage J 9(2):249–256
41.
go back to reference Grigoras G, Istrate M, Scarlatache F (2013) Electrical energy consumption estimation in water distribution systems using a clustering based method. In: 6th international conference on electronics, computers and artificial intelligence Grigoras G, Istrate M, Scarlatache F (2013) Electrical energy consumption estimation in water distribution systems using a clustering based method. In: 6th international conference on electronics, computers and artificial intelligence
42.
go back to reference Grigoras G (2014) Assessment of electrical load in water distribution systems using representative load profiles-based method. Adv Elect Eng 2014:1–10 Grigoras G (2014) Assessment of electrical load in water distribution systems using representative load profiles-based method. Adv Elect Eng 2014:1–10
Metadata
Title
Electrical Energy Consumption Forecasting to Improve Energy Efficiency of Water Distribution Systems
Author
Gheorghe Grigoras
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-49875-1_20