An innovative greywater treatment system for urban areas ... - SuSanA

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6.7 DATA TABLE FOR ECONOMIC CALCULATION OF GREYWATER TREATMENT PLANT Year Total invest (pipes and treatment plant) [€/a] 2% annual interest amount Invest treatment plant [€/a] 2% annual interest amount Maintenance [€/a] 2% annual interest amount Energy costs [€/a] 6.5% annual increase Total operation costs per year [€/a] Water costs (water+ wastewater) per year [€/a] 2% annual increase Cost saving per year [€/a] Total cost saving (summary) [€] 1 38383.81 8633.81 1272.38 707.07 1979.45 3391.47 1412.02 1412.02 2 39151.49 8806.49 1297.83 753.03 2050.86 3459.30 1408.44 2820.46 3 39934.52 8982.62 1323.78 768.09 2091.87 3528.49 1436.61 4257.07 4 40733.21 9162.27 1350.26 783.45 2133.71 3599.06 1465.34 5722.41 5 41547.87 9345.51 1377.27 799.12 2176.39 3671.04 1494.65 7217.06 6 42378.83 9532.42 1404.81 815.10 2219.91 3744.46 1524.54 8741.61 7 43226.40 9723.07 1432.91 831.41 2264.31 3819.35 1555.03 10296.64 8 44090.93 9917.53 1461.56 848.03 2309.60 3895.73 1586.13 11882.77 9 44972.75 10115.88 1490.80 864.99 2355.79 3973.65 1617.86 13500.63 10 45872.21 10318.20 1520.61 882.29 2402.91 4053.12 1650.21 15150.85 11 46789.65 10524.57 1551.02 899.94 2450.96 4134.18 1683.22 16834.06 12 47725.44 10735.06 1582.04 917.94 2499.98 4216.87 1716.88 18550.95 13 48679.95 10949.76 1613.69 936.30 2549.98 4301.20 1751.22 20302.17 14 49653.55 11168.75 1645.96 955.02 2600.98 4387.23 1786.24 22088.41 15 50646.62 11392.13 1678.88 974.12 2653.00 4474.97 1821.97 23910.38 85
6.8 UTILITY ANALYSIS (TRIMMED-DOWN VERSION) TO IDENTIFY IDEAL Identification of ideal international applications of MBR technology by utility analysis Rating input Rating input Rating input Rating input INTERNATIONAL APPLICATIONS FOR MBR TECHNOLOGY Assessment criteria Weighting China (north) Afghanistan Algeria Australia south Discretionary ∑= 21% Info not available Result Info not available Result Rating Info not available Result Rating Info not available Result Rating Description of rating Rating N Environmental criteria 21% 9.7 15.7 16.7 14.5 high = 10, medium = 5, low = 1, no = 0 5 60 10 120 10 120 10 120 N1 Water scarcity (physical) 12 high = 1, medium = 5, low = 10 5 25 5 25 5 25 1 5 N2 Freshwater quality 5 big amount (> 100 persons) = 10, medium amount (10 - 100 persons) = 5, small amount = 1 (< 10 persons) 0 0 0 0 high (overnight accommodation) = 10, medium (operation in the daytime + showering) = 5, low (operation in the daytime) = 1 0 0 0 0 Number of persons situated in the building 0 N3 N4 Accumulation of greywater 0 N5 Sewer system available 0 no = 10, yes = 1 0 0 0 0 high = 10, medium = 5, low = 1 5 10 1 2 1 2 5 10 high = 10, medium = 5, low = 1 1 2 5 10 10 20 5 10 Result Result Result Result [%] 9.7 [%] 15.7 [%] 16.7 [%] 14.5 n. a. citeria 0 n. a. citeria 0 n. a. citeria 0 n. a. citeria 0 Population/settlement density (based on habitable area of the country) 2 N6 N7 Urbanisation rate 2 Degree of fulfilment Note: Values in grey coloured cells are based on imputed data; (Yale University, 2010) 86
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Master’s Thesis AN INNOVATIVE GRE
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ABSTRACT In its German headquarters
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3.7 Identification of global hotspo
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LIST OF TABLES Table 1: Overview of
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ABBREVIATIONS AHP Analytical hierar
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1 INTRODUCTION In regions of the wo
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2 MATERIALS AND METHODS 2.1 LITERAT
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To get an overview of chronological
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Table 2: Microbiological load of gr
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2.1.5 TREATMENT TECHNOLOGIES Genera
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Figure 7: Ground plot of GIZ main b
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Figure 10: Schematic view of preced
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3. Storage tank for permeate: In th
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2.4 GREYWATER TREATMENT VIA MBR TEC
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matrix that shows all objective cri
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� Socio-cultural criteria o Gener
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Only the legislative requirements f
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An important factor for the assessm
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equirements of purity (Sieghart, 20
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2.5 METHOD TO IDENTIFY IDEAL INTERN
Page 41 and 42: Population per km 2 arable land: 0
Page 43 and 44: such as in densely populated areas.
Page 45 and 46: Table 13: International greywater t
Page 47 and 48: Due to the complexities, involved i
Page 49 and 50: 3.3 PLANT TECHNOLOGY IN ESCHBORN As
Page 51 and 52: humins, which are high molecular or
Page 53 and 54: 3.4 SANIRESCH RESEARCH PROJECT AND
Page 55 and 56: ut in a hotel the drain from shower
Page 57 and 58: Cleaning water for preceeding scree
Page 59 and 60: Water costs: In contrast to energy
Page 61 and 62: treatment plants in different circu
Page 63 and 64: 3.6 INVESTIGATION OF INTERNATIONAL
Page 65 and 66: “Dead Sea Spa” hotel/Jordan; (a
Page 67 and 68: In this comparison of three project
Page 69 and 70: In the Near East and North Africa m
Page 71 and 72: Table 26: Water quality index (WQI)
Page 73 and 74: 3.7.4 URBANISATION Country populati
Page 75 and 76: Table 29: Ranking of countries idea
Page 77 and 78: e based on legal, economic, socio-c
Page 79 and 80: 3.8 FUTURE PROSPECTS 3.8.1 LEGAL FO
Page 81 and 82: 4 CONCLUSIONS The membrane bioreact
Page 83 and 84: 5 REFERENCES Ackermann, K. (2010).
Page 85 and 86: Herbst, H. (2008). Bewertung zentra
Page 87 and 88: Rohr, T. (2004). Einsatz eines mehr
Page 89 and 90: Hauptgebäude. In S. fbr15, Wassera
Page 91: 6.5 ENERGY PRICE (GROSS) IN GERMANY
Page 95 and 96: Identification of ideal internation
Page 101 and 102: 6.9 POSTER 94
Page 103: EHRENWÖRTLICHE ERKLÄRUNG Ich vers
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