KompetenzZentrum Wasser Berlin gGmbH

Berlin, Germany

KompetenzZentrum Wasser Berlin gGmbH

Berlin, Germany
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Caradot N.,Kompetenzzentrum Wasser Berlin gGmbH | Sonnenberg H.,Kompetenzzentrum Wasser Berlin gGmbH | Kropp I.,3S Consult GmbH | Ringe A.,OEWA Wasser und Abwasser GmbH | And 2 more authors.
Urban Water Journal | Year: 2017

Deterioration modelling can be a powerful tool to support utilities in planning efficient sewer rehabilitation strategies. However, the benefits of using deterioration models are still to be demonstrated to increase the confidence of utilities toward simulation results. This study aims at assessing the performance of a statistical deterioration model to estimate the current condition and predict the future deterioration of a sewer network. The prediction quality of the deterioration model GompitZ has been assessed using the extensive data-set of 35,826 inspections performed in the city of Braunschweig, Germany. The performance of the statistical model has been compared with the performance of a simple model based only on the condition of observed sewers. Results show that the statistical model performs much better than the simple model for simulating the deterioration of the network. The findings highlight the relevance of using modelling tools to simulate sewer deterioration and support strategic asset management. © 2017 Informa UK Limited, trading as Taylor & Francis Group


Nattorp A.,University of Applied Sciences and Arts Northwestern Switzerland | Remmen K.,University of Applied Sciences and Arts Northwestern Switzerland | Remy C.,Kompetenzzentrum Wasser Berlin GGmbH
Water Science and Technology | Year: 2017

Phosphorus (P) recovery from wastewater has considerable potential to supplement limited fossil P reserves. Reliable cost data are essential for investor and policymaker decisions. In this study, investment and operational costs for nine P recovery processes were calculated from the investor's perspective, taking into account all relevant side effects on the sludge treatment or the wastewater treatment plant. The assessment was based on pilot and full-scale data which were thoroughly consolidated and standardized with technical and cost data from the German wastewater-sludge treatment train to enable direct comparison. The cost influence of precipitation processes on the current wastewater-sludge treatment train ranges from -0.14 (generating profit) to 0.23 EUR per population equivalent (PE) and year, while the cost influence of sludge leaching processes is around 2.50 EUR/(PE y). The cost influence of processes using dry sludge and mono-incineration ash varies between 0.33 and 3.13 EUR/(PE y), depending on existing disposal pathways, mono-incineration, co-incineration or agricultural use of sludge. The specific costs per kg P recovered (-4 to 10 EUR/kg P) are in general higher than conventional fertilizer production (1.6 EUR/kg P). However, annual costs per PE represent less than 3% of the total costs for wastewater disposal. © IWA Publishing 2017.


Muller B.,Eawag - Swiss Federal Institute of Aquatic Science and Technology | Bryant L.D.,Eawag - Swiss Federal Institute of Aquatic Science and Technology | Bryant L.D.,ETH Zurich | Matzinger A.,Kompetenzzentrum Wasser Berlin GGmbH | And 3 more authors.
Environmental Science and Technology | Year: 2012

The oxygen-consuming processes in the hypolimnia of freshwater lakes leading to deep-water anoxia are still not well understood, thereby constraining suitable management concepts. This study presents data obtained from 11 eutrophic lakes and suggests a model describing the consumption of dissolved oxygen (O2) in the hypolimnia of eutrophic lakes as a result of only two fundamental processes: O2 is consumed (i) by settled organic material at the sediment surface and (ii) by reduced substances diffusing from the sediment. Apart from a lakes productivity, its benthic O2 consumption depends on the O2 concentration in the water overlying the sediment and the molecular O2 diffusion to the sediment. On the basis of observational evidence of long-term monitoring data from 11 eutrophic lakes, we found that the areal hypolimnetic mineralization rate ranging from 0.47 to 1.31 g of O2 m-2 d-1 (average 0.90 ± 0.30) is a function of (i) a benthic flux of reduced substances (0.37 ± 0.12 g of O2 m-2 d-1) and (ii) an O2 consumption which linearly increases with the mean hypolimnion thickness (zH) up to ∼25 m. This model has important implications for predicting and interpreting the response of lakes and reservoirs to restoration measures. © 2012 American Chemical Society.


Schoumans O.F.,Wageningen University | Bouraoui F.,European Commission - Joint Research Center Ispra | Kabbe C.,Kompetenzzentrum Wasser Berlin gGmbH | Oenema O.,Wageningen University | van Dijk K.C.,Wageningen University
Ambio | Year: 2015

Food production in Europe is dependent on imported phosphorus (P) fertilizers, but P use is inefficient and losses to the environment high. Here, we discuss possible solutions by changes in P management. We argue that not only the use of P fertilizers and P additives in feed could be reduced by fine-tuning fertilization and feeding to actual nutrient requirements, but also P from waste has to be completely recovered and recycled in order to close the P balance of Europe regionally and become less dependent on the availability of P-rock reserves. Finally, climate-smart P management measures are needed, to reduce the expected deterioration of surface water quality resulting from climate-change-induced P loss. © 2015, The Author(s).


Remy C.,Kompetenzzentrum Wasser Berlin GGmbH | Jekel M.,TU Berlin
Water Science and Technology | Year: 2012

This study investigates the cumulative energy demand (CED) of different systems for the management of urban wastewater, following the methodology of Life Cycle Assessment. In a hypothetical case study for an urban area (5,000 inhabitants), all relevant processes for wastewater collection and treatment and the construction of infrastructure are described in a substance flow model. The conventional system requires 1,250 MJ/(pe*a), with the operation contributing 45%, the infrastructure 7%, and the system expansion (production of mineral fertilizer and electricity) 48% to the total CED. The separation systems have a CED of 930-1,182 MJ/(pe*a) depending on their configuration. Results of the impact assessment show that recovering energy from the organic matter of toilet wastewater and household biowaste in a digestion process can decrease the cumulative energy demand by 13-26%. Energetic benefits of mineral fertilizer substitution are relatively small compared to the energy recovered from organic matter. Decisive parameters for the energy analysis are the amount of biowaste which is co-digested with toilet wastewater and the energy demand of the vacuum plant. © IWA Publishing 2012.


Remy C.,Kompetenzzentrum Wasser Berlin GGmbH | Lesjean B.,Kompetenzzentrum Wasser Berlin GGmbH | Waschnewski J.,Berliner Wasserbetriebe
Water Science and Technology | Year: 2013

This study exemplifies the use of Life Cycle Assessment (LCA) as a tool to quantify the environmental impacts of processes for wastewater treatment. In a case study, the sludge treatment line of a large wastewater treatment plant (WWTP) is analysed in terms of cumulative energy demand and the emission of greenhouse gases (carbon footprint). Sludge treatment consists of anaerobic digestion, dewatering, drying, and disposal of stabilized sludge in mono- or co-incineration in power plants or cement kilns. All relevant forms of energy demand (electricity, heat, chemicals, fossil fuels, transport) and greenhouse gas emissions (fossil CO2, CH4, N2O) are accounted in the assessment, including the treatment of return liquor from dewatering in the WWTP. Results show that the existing process is positive in energy balance (-162 MJ/PECOD *a) and carbon footprint (-11.6 kg CO2-eq/PECOD * a) by supplying secondary products such as electricity from biogas production or mono-incineration and substituting fossil fuels in co-incineration. However, disposal routes for stabilized sludge differ considerably in their energy and greenhouse gas profiles. In total, LCA proves to be a suitable tool to support future investment decisions with information of environmental relevance on the impact of wastewater treatment, but also urban water systems in general. © 2013 IWA Publishing.


Sandoval S.,Pontifical Xavierian University | Torres A.,Pontifical Xavierian University | Pawlowsky-Reusing E.,Berliner Wasserbetriebe | Riechel M.,Kompetenzzentrum Wasser Berlin gGmbH | Caradot N.,Kompetenzzentrum Wasser Berlin gGmbH
Water Science and Technology | Year: 2013

The present study aims to explore the relationship between rainfall variables and water quality/quantity characteristics of combined sewer overflows (CSOs), by the use of multivariate statistical methods and online measurements at a principal CSO outlet in Berlin (Germany). Canonical correlation results showed that the maximum and average rainfall intensities are the most influential variables to describe CSO water quantity and pollutant loads whereas the duration of the rainfall event and the rain depth seem to be the most influential variables to describe CSO pollutant concentrations. The analysis of partial least squares (PLS) regression models confirms the findings of the canonical correlation and highlights three main in fluences of rainfall on CSO characteristics: (i) CSO water quantity characteristics are mainly influenced by the maximal rainfall intensities, (ii) CSO pollutant concentrations were found to be mostly associated with duration of the rainfall and (iii) pollutant loads seemed to be principally influenced by dry weather duration before the rainfall event. The prediction quality of PLS models is rather low (R2 < 0.6) but results can be useful to explore qualitatively the influence of rainfall on CSO characteristics. © IWA Publishing 2013.


Lepot M.,INSA Lyon | Torres A.,Pontifical Xavierian University | Hofer T.,University of Graz | Caradot N.,Kompetenzzentrum Wasser Berlin gGmbH | And 3 more authors.
Water Research | Year: 2016

UV/Vis spectrophotometers have been used for one decade to monitor water quality in various locations: sewers, rivers, wastewater treatment plants (WWTPs), tap water networks, etc. Resulting equivalent concentrations of interest can be estimated by three ways: i) by manufacturer global calibration; ii) by local calibration based on the provided global calibration and grab sampling; iii) by advanced calibration looking for relations between UV/Vis spectra and corresponding concentrations from grab sampling. However, no study has compared the applied methods so far. This collaborative work presents a comparison between five different methods. A Linear Regression (LR), Support Vector Machine (SVM), EVOlutionary algorithm method (EVO) and Partial Least Squares (PLS) have been applied on various data sets (sewers, rivers, WWTPs under dry, wet and all weather conditions) and for three water quality parameters: TSS, COD total and dissolved. Two criteria (r2 and Root Mean Square Error RMSE) have been calculated - on calibration and verification data subsets - to evaluate accuracy and robustness of the applied methods. Values of criteria have then been statistically analysed for all and separated data sets. Non-consistent outcomes come through this study. According to the Kruskal-Wallis test and RMSEs, PLS and SVM seem to be the best methods. According to uncertainties in laboratory analysis and ranking of methods, LR and EVO appear more robust and sustainable for concentration estimations. Conclusions are mostly independent of water matrices, weather conditions or concentrations investigated. © 2016 Elsevier Ltd.


PubMed | University of Graz, INSA Lyon, Pontifical Xavierian University and Kompetenzzentrum Wasser Berlin gGmbH
Type: | Journal: Water research | Year: 2016

UV/Vis spectrophotometers have been used for one decade to monitor water quality in various locations: sewers, rivers, wastewater treatment plants (WWTPs), tap water networks, etc. Resulting equivalent concentrations of interest can be estimated by three ways: i) by manufacturer global calibration; ii) by local calibration based on the provided global calibration and grab sampling; iii) by advanced calibration looking for relations between UV/Vis spectra and corresponding concentrations from grab sampling. However, no study has compared the applied methods so far. This collaborative work presents a comparison between five different methods. A Linear Regression (LR), Support Vector Machine (SVM), EVOlutionary algorithm method (EVO) and Partial Least Squares (PLS) have been applied on various data sets (sewers, rivers, WWTPs under dry, wet and all weather conditions) and for three water quality parameters: TSS, COD total and dissolved. Two criteria (r(2) and Root Mean Square Error RMSE) have been calculated - on calibration and verification data subsets - to evaluate accuracy and robustness of the applied methods. Values of criteria have then been statistically analysed for all and separated data sets. Non-consistent outcomes come through this study. According to the Kruskal-Wallis test and RMSEs, PLS and SVM seem to be the best methods. According to uncertainties in laboratory analysis and ranking of methods, LR and EVO appear more robust and sustainable for concentration estimations. Conclusions are mostly independent of water matrices, weather conditions or concentrations investigated.


PubMed | Berliner Wasserbetriebe, Pontifical Xavierian University and Kompetenzzentrum Wasser Berlin gGmbH
Type: Journal Article | Journal: Water science and technology : a journal of the International Association on Water Pollution Research | Year: 2013

The present study aims to explore the relationship between rainfall variables and water quality/quantity characteristics of combined sewer overflows (CSOs), by the use of multivariate statistical methods and online measurements at a principal CSO outlet in Berlin (Germany). Canonical correlation results showed that the maximum and average rainfall intensities are the most influential variables to describe CSO water quantity and pollutant loads whereas the duration of the rainfall event and the rain depth seem to be the most influential variables to describe CSO pollutant concentrations. The analysis of partial least squares (PLS) regression models confirms the findings of the canonical correlation and highlights three main influences of rainfall on CSO characteristics: (i) CSO water quantity characteristics are mainly influenced by the maximal rainfall intensities, (ii) CSO pollutant concentrations were found to be mostly associated with duration of the rainfall and (iii) pollutant loads seemed to be principally influenced by dry weather duration before the rainfall event. The prediction quality of PLS models is rather low (R < 0.6) but results can be useful to explore qualitatively the influence of rainfall on CSO characteristics.

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