Interpreting climate information for water utilities (webinar on demand)

Learning Objectives

Participants will be able to:
• Identify what climate information and data is relevant and can be used in your planning and operations.
• Interpret and integrate climate information and data in your utility’s management of water resources and water supply.
• Use climate information to improve your water safety planning implementation and development process by including climate related hazards and risks in your risk assessment of the water supply system from catchment to tap.
• Contribute to the resilience of your water utility.

The Urban Water Utility of the Future: Peak Performance & Low Carbon (webinar on demand)

Learning Objectives

• Participants are aware of the opportunity of a low carbon future for utilities and the necessity to adopt a “low-Carbon” mindset.
• Participants will become familiar with the WaCCliM Roadmap, its five-step process and a number of critical components (which include data management needs and assessment tools, an enabling environment, a ‘bankable’ project proposal, and a monitoring plan).
• Participants have several ideas of practical measures that can be implemented by utilities to become climate smart, illustrated by case studies.
• Participants have a go-to resource to apply the five-step process and are energised to initiate action within their organization.

Decarbonisation of water utilities- Tool for energy and carbon emission assessment (webinar on demand)

Learning Objectives of the Webinar:

After the session the participants:

1. Understand drivers and justification for decarbonising by utilities
2. Can explain the purpose and the basic applications of the ECAM tool and its relevance for utilities.
3. Are inspired to initiate steps to realize CO2 low water utilities and look for solutions to overcome costs related issues
4. Are aware of the big picture impact of mitigation and the importance of creating an enabling environment

Comparison of 4 Different Flow Control Methods Of Pumps

Based upon the system head conditions, pumps may be able to pump at higher rates than needed when operating at 100% motor speed. This flow rate can be controlled by one of two ways, throttling the pump with a valve if the pump is a constant speed pump, or changing the motor speed with a variable speed drive. The former is only energy efficient if the higher flow operating point of the pump without throttling is to the right of the best efficiency point on the pump performance curve, and the throttling results in reducing the flow to a point closer to the best efficiency point on the pump curve. Otherwise, throttling the pump can result in using more energy than at the higher flow, as well as wasting energy because you end up using more energy than is needed. When the demand on the system fluctuates significantly, the pumping rate can be controlled automatically by varying the speed of the motor with a variable frequency drive (VFD), such that the pump output matches only what is needed to meet demands or the intended pumping conditions. The pump’s flow rate then increases or decreases based upon the affinity laws and the controlled speed of the motor. This way lower pumping rates can be achieved, which may result in lower efficiency than those at full motor speed; however, the energy consumption is still lower because the energy requirements to pump lower flows at lower heads are lower.

Pressure-driven demand and leakage simulation for water distribution networks

A novel steady-state network simulation model that fully integrates, into a classical hydraulic representation, pressure-driven demand and leakage at the pipe level is developed and presented here. After presenting a brief literature review about leakage modelling, the importance of a more realistic simulation model allowing for leakage analysis is demonstrated. Then, the algorithm is tested from a numerical standpoint and subjected to a convergence analysis. These analyses are performed on a case study involving two networks derived from real systems. Experimentally observed convergence/error statistics demonstrate the high robustness of the proposed pressure-driven demand and leakage simulation model.

Assess your utility’s carbon footprint
X Close

Assess your utility’s energy performance and GHG emissions

Assess my system