Anonymised case study · Water resource strategy

Desalination supply phasing and techno-economic appraisal.

An engineering-led assessment for a large coastal development, bringing demand scenarios, supply configurations, hydraulic interfaces and whole-life economics into a decision-ready investment pathway.

Scope
Desalination, supply phasing and reuse
Evidence
Demand, system modelling and whole-life cost
Output
Sequenced investment and delivery gates
Appraisal architecture connecting demand scenarios, supply choices, system modelling, whole-life cost and decision gates
Portfolio-safe synthesis of the appraisal method.

The decision

How can supply continuity be protected while major desalination investment is released only when demand and delivery readiness justify it?

A fast-growing coastal development needed a strategy for early construction, staged urban and industrial demand, and eventual transition to permanent regional infrastructure. The appraisal turned those connected constraints into a controlled pathway rather than a single, fixed asset choice.

The appraisal

A controlled comparison from demand to investment action.

The study combined the questions that materially shaped the preferred route: when demand would arrive, how supply could be configured, what system interfaces were required, and which timing created the most defensible whole-life outcome.

01

Demand scenarios and validation

Reconciled development inputs with the central utility forecast, testing timing, persistence, peak demand, water-intensive uses, programme phasing and reuse availability.

02

Supply configurations and system interfaces

Tested four supply configurations across the complete system boundary: source, treatment, intake and discharge, storage, pumping, transmission, temporary supply and operations.

03

Whole-life cost and decision gates

Compared capital, temporary-supply exposure, operating cost and discounted whole-life implications alongside asset readiness, delivery duration, environmental requirements and continuity.

Supply configurations

Four routes were tested against the same decision framework.

The system boundary included source treatment, intake and discharge, storage, pumping, transmission, temporary supply and operations. This avoided treating production capacity as a standalone decision.

01

New-plant-led

New permanent production capacity as the principal supply route.

02

Split supply

Immediate need separated from the infrastructure required for later growth.

03

Expanded base + new production

Expansion at the established source paired with new production capacity.

04

Integrated supply + reuse

Potable supply coordinated with non-potable reuse as a capacity-management lever.

Multi-scenario modelling

The preferred route was tested against changing demand, not a single forecast.

The model considered a base demand outlook alongside earlier, later and moderated exceptional-demand cases. Each was tested against alternative supply configurations before a delivery pathway was selected.

What this changedAn option that appeared efficient under one demand curve could be exposed when the timing or magnitude of exceptional demand changed. The model made those decision sensitivities explicit before major capital was committed.

Portfolio noteThis is an anonymised synthesis of the modelling logic. Scenario labels, timings, locations, client data and commercial values have been removed.

Whole-life comparison

The preferred pathway considered capital timing, operating exposure and future flexibility together.

Demand start date, peak magnitude, commissioning, temporary-supply duration, transfer readiness and reuse availability were treated as decision sensitivities, not background assumptions.

Illustrative indexed comparison of whole-life cost across four desalination supply configurations
Illustrative indexed comparison using rounded values and anonymised commercial context. The comparison communicates relative option logic, not client cost data.

Recommended delivery pathway

Bridge defined gaps, validate demand, then release permanent capacity in stages.

The resulting pathway retained the established source for the near-term base, used temporary supply where needed, set a demand and readiness gate for incremental capacity, and advanced new production and transfer infrastructure only for sustained demand. Non-potable reuse was enabled early as a capacity-management lever.

Anonymised phased delivery logic for base supply, temporary bridging, incremental capacity, new asset transfer and non-potable reuse
Anonymised phasing logic using portfolio-safe timing bands.

Decision governance

Engineering confidence was kept visible through the delivery process.

The recommendation was supported by an assumption register that recorded source, owner, confidence, impact and validation path. This made the dependencies on forecast, approvals, network readiness and construction progress explicit.

G1

Validate

Confirm the sustained-demand case, asset and network capacity, and temporary-supply requirements before releasing expansion.

G2

Commit

Confirm delivery readiness, environmental approvals, transfer interfaces and construction progress before committing major permanent infrastructure.

Evidence control

Keep the pathway adaptable

Use sensitivity testing and a live evidence register to respond to changing demand, reuse availability and delivery dates without losing the strategic intent.

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