Prioritization Model for Pipeline Improvements to Limit Increasing Operational Costs
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University of Pretoria
Abstract
Water is needed for all forms of human development and is equally essential to most major
industries. Most water today is transported by gravity. However, a growing volume is being
conveyed through pumped pipeline systems that are consuming staggering amounts of
electricity. Additionally, the cost of electricity is rising in most countries, increasing the cost
of operations for municipalities and utilities that operate these water networks.
There is significant need to review existing pumped pipeline systems to identify pipelines
improvements that can be made to improve energy efficiency. These pipelines can be
improved by hydraulic or operational changes to increase their operational efficiency.
Decreased energy use will lower operating costs and reduce the environmental effects of
electrical production.
A pipeline improvement selection and prioritization (PISP) system was developed to evaluate
a group of pipelines, determine the appropriate improvement option(s) for each, and prioritize
the order in which the improvements should be implemented. The PISP system models
hydraulic degradation and energy cost escalation to determine the baseline operating cost of
the system over a long term (20 year) analysis period. The system then models the effect of
five selected hydraulic improvements (foam swabbing, rigid pigging, intensive cleaning and scraping, rehabilitation, and total replacement) and eight operational improvements (eight
different scenarios of limiting and altering the pumping hours to selected time periods) to
determine the potential cost savings over the analysis period and the pipelines with the
greatest savings are prioritized. The operational and hydraulic characteristics of the
prioritized pipelines are then field tested to verify the results of the analysis and make a final
recommendation for pipeline system improvements.
The PISP system was applied to analyse nine selected pipelines from the City of Tshwane’s
bulk water system.
• The preliminary evaluation prioritized three pipelines that were in relatively poor
hydraulic condition, and three pipelines that were likely to see significant cost savings
from operational changes.
• The economic evaluation found a potential savings of approximately R100 million for
the analyzed pipelines over the twenty year analysis period.
• It also determined that the Roodeplaat Raw Water Pipeline – supplying water to the
Roodeplaat WTP – and the Roodeplaat to Montana Pipeline – conveying water from
the Roodeplaat WTP to the Montana Reservoir – would have the greatest potential
cost savings.
• The final results suggest that utilizing pump scheduling a 12-15% reduction in yearly
electrical cost can be achieved through operational improvements with minimal
capital investment. With the addition of a reservoir upstream of the WTP and the
expansion of the WTP’s clear water reservoir, the cost savings could be increased to
the approximately 25%.
• No hydraulic improvements to either pipeline resulted in a long term cost savings for
the twenty year analysis period. However, a general inspection found two
unnecessary strainers, the removal of which would result in an additional savings of
an estimated R100 000 a year.
The development of the PISP system highlighted the need to include potential additional
reservoir storage to optimize pump system operation. The additional storage allows for the
pumps to be operated only when the electrical cost is lowest. Building on these results is an
important step in developing a complete system for optimal pumped pipeline operation.
Description
Dissertation (MEng)--University of Pretoria, 2015.
Keywords
UCTD, Pipeline improvements, Operational costs, Water infrastructure, Pipeline prioritization model, Water supply systems, Cost-effective water management, Pipeline maintenance, Water resource efficiency
Sustainable Development Goals
Citation
Rossnagel, PK 2015, Prioritization Model for Pipeline Improvements to Limit Increasing
Operational Costs, MEng Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/46256>