Power plant and energy storage performance analytics system
The specialist analyzes why the power plant produced less or the hoard operated differently than planned. Measurements help to distinguish between the influence of the air, equipment, network and the selected operating mode.
Production and equipment signals are indistinguishable from the resource, network restriction, and chosen commercial mode. The team investigates the wrong cause or fails to notice the deviation that is actually being corrected.
How the solution works
- The measurement limit, the technology-appropriate base and the analysis period are agreed.
- Energy and equipment data are cross-checked by time, units, and communication gaps.
- Confirmed technical, resource and restriction events are linked without double tolerance attribution.
- The analyst verifies how much of the remaining production difference can be explained by the model error or missing data.
- The reasonable case is passed to the responsible review, and its action is subsequently verified on the same basis.
Key challenges
- Productivity deviation fails to reach a reasonable technical or commercial solution
- The causes of production losses and portfolio productivity are not sufficiently separated
Solution capabilities
The purpose of the comparison base
The budget plan, the actual resource-weighted potential and the post-limitation allowable regime are shown separately.
Location and time of measurement
The energy of the plant, power plant and connection point are not aggregated as independent production; the gap does not become zero performance.
Causal attribution
Technical impairment and other concurrent limitations are assessed according to a consistent methodology.
The Difference in Technology
Solar and wind resources, the entrance of a biomass process or the balance of accumulation have their significance and the conditions of measurement.
Reasonable economic assessment
The energy difference is measured by the contract and mode of a specific period, distinguishing the modelled option from the financial fact.
Business context
- Productivity deviation fails to reach a reasonable technical or commercial solution
- Production and equipment signals are indistinguishable from the resource, network restriction, and chosen commercial mode. The team investigates the wrong cause or fails to notice the deviation that is actually being corrected.
- The causes of production losses and portfolio productivity are not sufficiently separated
- Energy production data is compared without distinction of measurement gaps, weather conditions, technical failures and limitations applied. Several reasons can be attributed to the same amount lost. The manager may allocate funds for work that eliminates the wrong reason. It is difficult for the owner to explain how much result is due to the condition of the equipment being maintained, but how much other circumstances.
- The owner is explained the change in productivity important to income
- Smaller production can depend on weather, equipment or limitations, so not every difference justifies repair. The separated cause helps the owner to assess the potential action and its economic meaning. The service provider can base the proposed work on specific data without identifying analysis with guaranteed revenue gains.
Core features
- The purpose of the comparison base
- Location and time of measurement
- Causal attribution
- The Difference in Technology
- Reasonable economic assessment
Key integrations
- Energy accounting and monitoring of the power plant
- Location of measurement, fact of energy, state and relevance of equipment.
- Resource and Network Data
- The technology requires conditions and a validated restriction event.
- History of care
- Technical reason, time of inaccessibility and action taken.
- Source of Commercial Regime
- The period was subject to a contractual clause and the adopted regime when assessing the economy.
Potential impact (%)
The ranges indicate an illustrative relative change in the metric under the stated assumptions. Results depend on the starting position and actual use of the solution. Percentages for different metrics must not be added together.
Work on the reconciliation of the deviation cause
16–42%Decreasing
This illustrative scenario assumes that 40-70% of information searches and repeated cross-checks can be addressed. That share is assumed to fall by 40-60%. Company data is needed to verify both the addressable workload and the resulting change.
The analyst's work is measured to a valid reason or a clearly named data gap.
No energy difference attributed
12–42%Decreasing
This illustrative scenario assumes that 30-60% of errors can be addressed through the data and rule checks described. That share is assumed to fall by 40-70%. Company data is needed to verify both the addressable share and the resulting change.
Calculates the amount of energy not yet explained, indicating missing data and model error. The result is considered to be explained only after a reasonable reason for the difference has been established.
Conditional calculation scenarios. The assumptions have not been validated against client measurements.
When this solution is relevant
- Production reports make it difficult to distinguish between equipment failures, data transmission failures and network constraints.
- Losses from different power plants or periods are calculated unevenly, making it difficult to compare their performance.
Implementation requirements
For performance analysis, measurement locations, data time and comparable production assumptions are checked. Disruptions, constraints and data gaps are marked separately, and the balance of charge, discharge and accumulated energy change is compatible for storage objects.
Further development options
- Evaluation of the results of comparable objects by equally defined bases
- Analysis of additional deviation causes by verifying the reliability of their separation