scholarly journals THE PROFITABILITY OF WATER COMPANIES DURING TEN YEARS

2019 ◽  
Author(s):  
Felicetta Iovino ◽  
Keyword(s):  
Water Companies

Bottled Water Industry in Brunei Darussalam: The Unregulated Sector?

2020 ◽  
Vol 2 (2) ◽  
pp. 149-165
Keyword(s):  
Bottled Water ◽  
Water Industry ◽  
Valuable Resource ◽  
Water Supplies ◽  
The Public ◽  
Available Water ◽  
Brunei Darussalam ◽  
Preliminary Research ◽  
Water Companies ◽  
The Government

Brunei is seeing a proliferation of bottled companies established in the country in the last decade, driven by cheap water supplies, easily available water filtering systems and demand by the public. This research found 16 ‘companies,’ ‘producing’ and distributing over 34 brands of bottled waters in the country. Since bottled water industry is ‘popular,’ it is necessary to understand how the industry is being monitored and regulated by the government as it involved products consumed by the public. Since most of the bottled water companies use water drawn from the pipes supplied by the government, it is also important to understand how the government is protecting, monitoring and regulating this valuable resource from exploitation. This paper is a preliminary research on the bottled water industry in Brunei Darussalam.

Modernization of the water utility company of Bogotá (Colombia): an example of public and private participation for solving management problems of water companies in developing countries

2005 ◽  
Vol 5 (2) ◽  
pp. 107-113
Author(s):  
F. Zuleta ◽  
A. Merlano ◽  
A. Alvarez ◽  
M. Montoya ◽  
E. Restrepo
Keyword(s):  
Developing Countries ◽  
Latin American ◽  
Public Management ◽  
Practical Case ◽  
Water Utility ◽  
Comparative Efficiency ◽  
Utility Company ◽  
Private Participation ◽  
Management Problems ◽  
Water Companies

A common characteristic of water utility and wastewater companies in developing countries is management problems and limited commercial vocation. In the biggest Latin American cities there is a level of infrastructure enough for providing a substantially better service than the one currently supplied to their badly served customers. For years decisions have moved between two extremes: public management – usually corrupted with playing politics and inefficiency problems, and privatization – sharply criticized by many, and which has shown tendencies to inequality that leave it far away from earning panacea status. This paper is intended to expose the advantages of a novel model in which a state-run company with commercial management problems, the EAAB, solves its limitations by keeping the ownership of its assets and successfully incorporating the participation of better practices from other specialized operators, one of which is a state-owned player, EEPPM. This scheme demonstrates how the service indicators of a system serving eight million inhabitants in the Colombian capital improved significantly with state-owned assets and private participation, without giving in to privatization pressures or stagnating in the usual inefficiency typical of public management in developing countries. This is proposed as a replicable experience that can be used in medium and large cities in other countries with similar management problems, with certain adjustments to fit the solution to the specific cases. This is also a practical case for conducting a comparison of competitiveness within a city, of interest for regulatory entities and investigators on the potential of comparative efficiency in a traditionally monopolistic industry.

Multivariate consumption profiling (MCP) for intelligent meter systems: a methodology to define categories and levels

2010 ◽  
Vol 10 (5) ◽  
pp. 710-720 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Multivariate Analysis ◽  
Discriminant Analysis ◽  
Reference Population ◽  
Statistical Analyses ◽  
Conceptual Schema ◽  
Data Variability ◽  
Water Companies ◽  
Analyse Data

Multivariate Consumption Profiling (MCP) is a methodology to analyse the readings made by Intelligent Meter (IM) systems. Even in advanced water companies with well supported IM, full statistical analyses are not performed, since no efficient methods are available to deal with all the data items. Multivariate Analysis has been proposed as a convenient way to synthesise all IM information. MCP uses Factor Analysis, Cluster Analysis and Discriminant Analysis to analyse data variability by categories and levels, in a cyclical improvement process. MCP obtains a conceptual schema of a reference population on a set of classifying tables, one for each category. These tables are quantitative concepts to evaluate consumption, meter sizing, leakage and undermetering for populations and groupings and individual cases. They give structuring items to enhance “traditional” statistics. All the relevant data from each new meter reading can be matched to the classifying tables. A set of indexes is computed and thresholds are used to select those cases with the desired profiles. The paper gives an example of a MCP conceptual schema for five categories, three variables, and five levels, and obtains its classifying tables. It shows the use of case profiles to implement actions in accordance with the operative objectives.

scholarly journals Detection of untreated sewage discharges to watercourses using machine learning

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Peter Hammond ◽  
Michael Suttie ◽  
Vaughan T. Lewis ◽  
Ashley P. Smith ◽  
Andrew C. Singer
Keyword(s):  
Machine Learning ◽  
Wastewater Treatment ◽  
Wastewater Treatment Plants ◽  
Training Data ◽  
Regulatory Oversight ◽  
Untreated Wastewater ◽  
Untreated Sewage ◽  
Water Companies ◽  
Analytical Approaches ◽  
Sewage Discharges

AbstractMonitoring and regulating discharges of wastewater pollution in water bodies in England is the duty of the Environment Agency. Identification and reporting of pollution events from wastewater treatment plants is the duty of operators. Nevertheless, in 2018, over 400 sewage pollution incidents in England were reported by the public. We present novel pollution event reporting methodologies to identify likely untreated sewage spills from wastewater treatment plants. Daily effluent flow patterns at two wastewater treatment plants were supplemented by operator-reported incidents of untreated sewage discharges. Using machine learning, known spill events served as training data. The probability of correctly classifying a randomly selected pair of ‘spill’ and ‘no-spill’ effluent patterns was above 96%. Of 7160 days without operator-reported spills, 926 were classified as involving a ‘spill’. The analysis also suggests that both wastewater treatment plants made non-compliant discharges of untreated sewage between 2009 and 2020. This proof-of-principle use of machine learning to detect untreated wastewater discharges can help water companies identify malfunctioning treatment plants and inform agencies of unsatisfactory regulatory oversight. Real-time, open access flow and alarm data and analytical approaches will empower professional and citizen scientific scrutiny of the frequency and impact of untreated wastewater discharges, particularly those unreported by operators.

scholarly journals Economic design of alternative system to reduce the water distribution losses for sustainability

2021 ◽  
Vol 11 (7) ◽  
Author(s):  
H. J. Surendra ◽  
B. T. Suresh ◽  
T. D. Ullas ◽  
T. Vinayak ◽  
Vinay P. Hegde
Keyword(s):  
Cost Estimation ◽  
Distribution System ◽  
Water Distribution ◽  
Preventive Measures ◽  
Scale Model ◽  
Microsoft Excel ◽  
Water Losses ◽  
Population Forecasting ◽  
Water Companies ◽  
Materials Used

AbstractWater companies and their consumers affected with leakages in water distribution system worldwide. This has attracted many practitioner’s attention as well as researchers over the past years. Selected study area suffers from water losses of about 10 to 15% which accounts to loss of about 9 to 9.75 million liters per month. The present study was under taken to understand, analyze and evaluate the losses and suggest preventive measures of wrapping and repair clamping for control of these losses. The assessment of water losses is done through comparative analysis of data using Microsoft Excel software. Population forecasting is done in context of assessing the amount of water lost that can be prevented in future decades, adjusting to increased water demand and losses. For better efficiency of the suggested methods, experimental analysis was carried out on a reduced scale model of a single stretched pipeline. Cost estimation of the preventive measures was done by obtaining information about the materials used by trading professionals.

Suppliers in the privatised UK wastewater market and their possible moves towards integrated solutions

Water Policy ◽  
2006 ◽  
Vol 8 (6) ◽  
pp. 559-572 ◽  
Author(s):  
Charlotta Windahl
Keyword(s):  
Value Chain ◽  
Support Services ◽  
System Integration ◽  
Business Models ◽  
Spare Parts ◽  
New Business ◽  
Water Companies ◽  
The Uk ◽  
New Business Models ◽  
New Strategies

An increasing number of companies in the capital goods industry are turning towards new strategies where the focus is to add value for customers by providing integrated solutions (combining products and services), instead of selling components, spare parts and support services. These new strategies represent moves in the value chain and create a need for new business models as well as new competencies. In this paper, the fairly new concept of integrated solutions is explored in the context of a privatised industry. The findings are based on empirical case studies carried out at two companies supplying products and services to the UK wastewater industry. In the UK, both water companies and their suppliers are influenced by economic and environmental regulations, an increased focus on cost, and outsourcing. On one hand, the two manufacturers have increased their competence with respect to system integration and operational services – competencies for supplying integrated solutions. On the other hand, a fragmented and vertically structured market with a multitude of different actors increases the distance between the water companies and the manufacturers. In addition, the division of the industry into a capital and operational side complicates the coordination between new sales and services.

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