Abteilung Systemanalyse, Integrated Assessment und Modellierung

Dynamische Modellierung von Wasser- und den damit zusammenhängenden Energieflüssen

Wasser- und damit zusammenhängende Energieflüsse gehören zu den wichtigsten Energieverbrauchern im privaten Haushalt.

Die wichtigsten Verbrauche sind: Dusche, Baden, Waschmaschinen, Wasserhähne, Geschirrspüler, Toiletten usw.

Im Jahr 2010 startete Steven Kenway von der Universität Queensland in Brisbane, Australien eine Zusammenarbeit mit der Eawag mit dem Ziel ein stationäres Modell zu entwickeln um den Wasserverbrauch und die damit zusammenhängenden Energieflüsse im Privathaushalt sowie in Städten zu simulieren.

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      authors => protected'Kenway, S. J.; Scheidegger, R.; Larsen, T. A.; Lant
         , P.; Bader, H.-P.' (104 chars)
      title => protected'Water-related energy in households: a model designed to understand the curre
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      journal => protected'Energy and Buildings' (20 chars)
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      categories => protected'water; energy; greenhouse gas emissions; material flow analysis; modelling' (74 chars)
      description => protected'Energy use in households, including private transport, accounts for about 30
         % of primary energy use in industrialised countries. Therefore, households a
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          In order to understand energy use related to water in households a detailed
          mathematical flow analysis of materials, energy, CO<sub>2</sub> emissions a
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          family household in Brisbane, Australia. The simulation results for the cur
         rent state of this household were well within 20% of the monitored data. Aft
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         i) potential and (ii) realistic reduction values for all relevant (a) behavi
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         t-water system. The reduction potentials for water use, greenhouse gas emiss
         ions, water-related energy consumption, water costs and water-related energy
          costs were 4–77%, 14–85%, 15–93%, 1–31% and 13–90% respectively. 
         The study showed that for this household, technical improvements alone, with
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Water-related energy in households: a model designed to understand the current state and simulate possible measures

Energy use in households, including private transport, accounts for about 30% of primary energy use in industrialised countries. Therefore, households are important key drivers of energy use and related greenhouse gas emissions. In order to understand energy use related to water in households a detailed mathematical flow analysis of materials, energy, CO2 emissions and costs (MMFA) for household water use was set up and tested for a specific family household in Brisbane, Australia. The simulation results for the current state of this household were well within 20% of the monitored data. After calibration, a detailed scenario investigation determined the impact of (i) potential and (ii) realistic reduction values for all relevant (a) behavioural and (b) technical parameters, including a shift from gas to a solar hot-water system. The reduction potentials for water use, greenhouse gas emissions, water-related energy consumption, water costs and water-related energy costs were 4–77%, 14–85%, 15–93%, 1–31% and 13–90% respectively. The study showed that for this household, technical improvements alone, without changing to a solar hot-water system, result in less than a 15% change in terms of energy and greenhouse gas emissions. In contrast, combined behavioural and technical changes have a much higher reduction potential.
Kenway, S. J.; Scheidegger, R.; Larsen, T. A.; Lant, P.; Bader, H.-P. (2013) Water-related energy in households: a model designed to understand the current state and simulate possible measures, Energy and Buildings, 58, 378-389, doi:10.1016/j.enbuild.2012.08.035, Institutional Repository

Dieses Modell gab Einsicht über den jährlichen Wasserverbrauch sowie den damit zusammenhängenden Energiekonsum. Für die Wasser- und Energieversorger sind jedoch Konsumspitzen von grösster Wichtigkeit. Deshalb wird ein dynamisches Modell mit dem sich Wasserverbrauch und die damit zusammenhängenden Energieflüsse in Abhängigkeit der Zeit berechnen lassen entwickelt.