Each case describes a practical problem on an operating or planned asset, the analysis carried out and the result.
The Project
One of the largest seawater reverse osmosis plants in the world, producing almost 1 million m³ of water per day under a long-term water purchase agreement. The plant is powered by the grid and by a dedicated solar PV field, which covers more than 30% of its energy demand.
The Challenge
At this scale the cost of water depends on three things: specific energy consumption, plant availability and the cost of replacing membranes and consumables. A small difference in any of them changes the tariff over the whole contract period, so the operating assumptions had to be defined with the same rigor as the design.
The Analysis
- Specific energy consumption by train and operating point
- Availability and the maintenance assumptions behind it
- Membrane ageing and replacement strategy
- Integration of the solar field with the grid supply
The Outcome
The plant was awarded at one of the lowest water tariffs in the world, with a specific energy consumption among the lowest for a plant of this scale.
The Project
A utility-scale solar PV plant with battery storage, connected to the grid by a dedicated transmission line and expected to supply the electricity needs of hundreds of thousands of people. The size of the investment depended on one figure that nobody had: how much electricity the region actually consumes, hour by hour.
The Challenge
Only partial monthly measurements of the regional consumption were available. A monthly total cannot show when the demand occurs, and without that it is not possible to say how much solar production the network can absorb, or how large the storage has to be.
The Analysis
- Reconstruction of the annual hourly load profile from the partial monthly measurements
- Weather-driven discomfort and human-activity indices derived from typical meteorological year data, used to describe when and why consumption rises or falls
- Machine learning models trained on the load patterns of comparable networks, applied to the region and checked against the measurements that existed (this approach typically reaches 2 to 9% error)
- Comparison of the reconstructed load with solar production to size the PV plant and the battery storage
The Outcome
A reliable hourly load profile for the region, which made it possible to size the solar plant and the storage on actual demand, and therefore to commit to the investment.
The Project
A portfolio of solar PV plants owned by a developer and operator, reviewed on behalf of an infrastructure investment fund considering an investment in the company.
The Challenge
An investor pays for the energy the portfolio will produce over the coming decades. Plant performance, construction and O&M quality, equipment degradation and grid limitations all change that figure, and they differ from plant to plant.
The Analysis
- Verification of the energy yield estimates against measured production and performance ratio
- Review of availability, degradation and curtailment history
- Assessment of design, equipment and O&M quality, with site visits where required
- Identification of technical risks and their effect on expected production and cost
- Ranking of the plants within the portfolio
The Outcome
An independent technical opinion on expected production and risks, used by the investor in the valuation and in the negotiation of the transaction.
The Project
The motor feeders of a manufacturer of power plants. Each motor controlled by a variable speed drive was fitted with an additional contactor between the supply and the drive, following the usual practice of the sector.
The Challenge
The contactor adds cost, space, wiring and a component to maintain on every motor. If the drive already provides Safe Torque Off (STO), the question was whether the contactor still performs any function that the drive does not.
The Analysis
- Review of what a contactor is designed for under IEC 60947-1: operational switching, with no short-circuit capacity
- Review of what STO does: it removes the torque on the motor at once, and corresponds to stop category 0 under IEC 60204-1 and ISO 13850
- Analysis of how a motor under a drive is started and stopped, and of the warnings of the drive manufacturers against using a contactor on the drive input for this purpose
- Definition of the maintenance and isolation practice: a breaker or disconnector, never the contactor or STO alone, and an STO circuit with two independent contacts
The Outcome
The contactor was removed from the motor feeders. The solution was established as a company design standard in 2015 and has been applied to all the plants built since.
Seawater RO Plant: Forecasting and Procedural Model
How the production of a seawater reverse osmosis plant is forecast from its operating data, proven on data the model never saw, and then used as a procedural model that tracks every hour and flags and explains each deviation. Interactive charts on real plant data.
Open the PresentationFrom Plant Data to Decisions: Choose Your Plant
An interactive overview of how engineering models, operating data and machine learning turn plant data into decisions. Select the type of plant (pumped storage, water, thermal power, industrial process, solar and wind) and the quality of the data, and see how incomplete data is rebuilt, or when more measurements are needed first.
Open the PresentationPumped-Storage Plants: from Plant Data to Decisions (in Italian)
A one-page overview of how engineering models, operating data and machine learning serve a pumped-storage hydropower plant: performance evaluation, predictive maintenance, production optimization and investment analysis.
Open the PresentationMethodology in Practice
A staged study of an off-grid AI data center fed by solar PV and gas turbines: from hourly adequacy to minute-level stability, with every chart explained step by step.
Open the PresentationAcross Industries
The cases cover desalination, a solar and storage investment, a solar portfolio due diligence and a plant design standard. The problems differ, but the approach is the same: understand how the asset behaves, quantify where value is lost and decide what to change.
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