Analyzing the Effect of Pressure Management on Infrastructure Leakage Index in Distribution Systems based on Field Data

In this study, the relationship between pressure management (PM) and infrastructure leakage index (ILI) in distribution systems was investigated based on the field data. Before PM, non-revenue water (NRW) rates were calculated as 48.44%, 76.49% and 36.57% and ILI indicators were determined as 16.97, 22.90 and 26.88, in three DMAs. The leakage volume is also calculated by the FAVAD equation and compared the field data. With the implementation of PM, although NRW ratios decreased, the ILI did not improve in the same rate. ILI class was improved in 3 regions, ILI class dropped from A to B in one region. Although the ILI class did not change in the 5 regions, the loss rates decreased. Using the ILI alone in regions where PM is used can create misleading results in performance analysis. It is thought that it would be more accurate to evaluate losses with performance indicators in PM areas.

Estimating Opportunity Cost as A Tool to Evaluate Water Loss Management of Non-Revenue Water at PDAM Tirta Khatulistiwa

Water loss or Non-Revenue Water (NRW) is a national problem PDAMs, including PDAM Tirta Khatulistiwa. In fact, with a high level of water loss, there is a significant potential loss of income. This study aims to implement opportunity cost calculation as a managerial tool for PDAM Tirta Khatulistiwa in making investment decisions to improve water loss management. This research was conducted by collecting information from financial, managerial, and local government equity participation reports. Then the data reduction is carried out and calculated based on the gross margin, net profit margin, and the opportunity cost. This study indicates that the capital investment provided by the Pontianak City’s government has increased, followed by an increase in the number of consumers. However, it was not followed by an increase in the company’s profit. This is due to the opportunity cost or lost income during the business process amounting to Rp31,218,673,384.64 in 2019 with a potential income to Rp222,663,258,365.00 if it manages to suppress distribution leakage to the level of 20%. This potential income is worthy of consideration for PDAM Tirta Khatulistiwa to start water loss management in the NRW reduction program.

Non-revenue water reduction strategies: a systematic review

PurposeSustainability involves ensuring that sufficient resources are available for current and future generations. Non-revenue water (NRW) creates a barrier to sustainability through energy and water loss. However, a comprehensive overview of NRW reduction strategies is lacking. This study reviews the existing literature to identify available strategies for reducing NRW and its components and discusses their merits.Design/methodology/approachA systematic literature review was conducted to identify and analyze different strategies for reducing NRW. The initial search identified 158 articles, with 41 of these deemed suitably relevant following further examination. Finally, 14 NRW reduction strategies were identified from the selected articles.FindingsThe identified NRW reduction strategies were grouped into strategies for reducing (1) apparent losses (AL), (2) real losses (RL) and (3) water losses, with the latter involving the combination of AL and RL. The strategies adopted most frequently are “prevent water leakage” and “control water pressure.” In addition, water distribution network (WDN) rehabilitation has additional benefits over other RL reduction strategies, including saving water and energy, increasing hydraulic performance and enhancing reliability. Finally, utilizing decision support systems is the only strategy capable of reducing multiple NRW categories.Originality/valueThis review provides insights into the overall NRW problem and the strategies best equipped to address it. Authorities can use these findings to develop case-specific NRW reduction action plans that save water and energy, while providing other economic benefits. In addition, NRW reduction can improve WDN reliability.

Reduction in Non-Revenue Water in Water Distribution System

Water is the world’s most critical natural resource. Rapid population growth and economic development have led to higher demand for water worldwide whereas on the supply side, natural sources of water have become less reliable. This demand-supply imbalance in the water sector calls for more innovative water management practices and suitable technologies. Utilities cannot afford the water loss because of poor operation and maintenance of water distribution infrastructure facilities. The terms theft, smuggling and leakages are most common sources of generation of Non- revenue water (NRW). Newspaper articles around the world, particularly in countries experiencing intense drought and water shortages, are highlighting water theft as a growing problem. Analysis of various city development plans in India shows that water leakages, theft and unauthorized water connections gives rise to a high level of unaccounted water. A recent study on Water Governance (2013) reveals that unaccounted water in Delhi amounts to around 50% of the total water pumped into the system, whereas it is 35-40% in Hyderabad and Bengaluru. The World Bank in its report, ‘The Challenge of Reducing Non-Revenue Water in Developing Countries’, reveals that 48 million cubic meters of drinkable water escape daily from official supply networks, which is enough to provide water for 200 million people. The same report on India had clearly highlighted that 40-60% of water in Mumbai is lost through illegal diversion. In This paper we have made an attempt to analyze the current methods, their drawbacks and we have provided solution in the form of software-based approach (using Bentley Watergems) which is more relevant as compared to the current field method.

Non-Revenue water ratio prediction with serial triple diagram model

Water administrations attempt to control the Non-Revenue Water Ratio (NRWR) values in sustainable and well-performing water distribution infrastructures. In this respect, the NRWR value prediction through appropriate models over a small number of controllable variables is significant. The collection, monitoring, and predictions of data on variables that are used in the NRWR calculations are not practical and required significant time besides financial resources. In this study, the NRWR predictions have been made through the suggested method over three parameters. The model prediction accuracies, in the literature obtained by using the Triple Diagram Model (TDM) over two parameters, have been increased through the Serial Triple Diagram Model (STDM) suggested in this study. This method shows that better predictions are possible in the NRWR modeling. Thanks to the model applications developed in this study, water administrations can make predictions with the least error (less than 10% relative error) and certain variables, according to the characteristics of each water distribution network.