Over the past years in Central and Eastern Europe, including Poland, it can be observed that there has been a considerable decrease in water consumption. This leads to high operational costs due to underutilised capacity of existing drinking water treatment plants (DWTP) or distribution systems. Under these conditions providing rational management of DWTP requires technical, economical and reliability analysis. The application of probability and statistical theories together with a decomposition method was the scientific basis of this paper. As a second step, Woodward's LCCA model, together with the Activity Based Costing (ABC) model, were applied.
Abstract:In last years all countries of the European Union experience decrease of water consumption. What is worse, in most cases large European water treatment plants (WTP) have been design and built decades ago, when water consumption was much higher than nowadays. It is a challenging task to adjust WTP's capacity to the current water demand as it is associated with costs and safety issues. Minding that fact, authors decided to propose an new authorial methodology of combined reliability-cost efficiency assessment for water supply system with exceeded redundant capacity, based on new index -unit indicator of reliability-cost efficiency. It included both reliability and costs aspects. It was decided to present the new method on example of the pumping subsystems working for WTP in Poland. The research was based on Activity-Based Life Cycle Costs (AB-LCC) methodology together with two-parametric reliability evaluation. Using real operational and financial data an application of proposed authorial reliability-cost indicator was presented. The reliability-cost efficiency assessment allowed to present how operation of each pumping subsystem influenced global operational costs of WTP. This information is essential for decision-making process for rational management of technical facilities.
Integrated procedures of analysis have been presented combining both reliability and economical aspects of operation of a water supply system (WSS). The method presented is a practical application of the reliability analysis and life-cycle costing which is a part of a decision support system (DSS) for WSS. It focuses on undisturbed operation of systems with exceeded redundant capacity minding system's reliable and lower possible operational costs. The proposed analytical approach is shown on the example of the surface water intake which is the first subsystem of WSS influencing operation of a whole system. As a part of the study, reliability and economic assessments of various variants of future operation of water intake have been carried out as a basis for choosing most advantageous solution. The authors indicate how exceeded redundant capacity affects applied maintenance method of the system. All calculations of the reliability indicators are based on operating data contained in exploitation logs (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012). The costs have been estimated based on the obtained financial documentation.
Integrated procedures of analysis have been presented combining both reliability and economical aspects of operation of a water supply system (WSS). The method presented is a practical application of the reliability analysis and life-cycle costing which is a part of a decision support system (DSS) for WSS. It focuses on undisturbed operation of systems with exceeded redundant capacity minding system's reliable and lower possible operational costs. The proposed analytical approach is shown on the example of the surface water intake which is the first subsystem of WSS influencing operation of a whole system. As a part of the study, reliability and economic assessments of various variants of future operation of water intake have been carried out as a basis for choosing most advantageous solution. The authors indicate how exceeded redundant capacity affects applied maintenance method of the system. All calculations of the reliability indicators are based on operating data contained in exploitation logs (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012). The costs have been estimated based on the obtained financial documentation.
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