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QX - 02 Case of Study

Receive a Daily Homogeneous View of Asset Performance to Prioritise Management Tasks

Asset Management
KPIs
Prioritising Management

This case study highlights the successful implementation of an automated solution to collect daily production, irradiation, and price data from a portfolio of 75 PV plants in three countries. The solution calculates key technical KPIs, such as availability and performance ratio, estimates production losses and sends daily reports to the asset management team, building a global picture of the status of the portfolio. The report compares actual production with expected production and ranks plants from highest to lowest contribution to variance. This solution has improved the decision-making process, operational efficiency and early detection of problems in the portfolio.

CONTEXT

The client, a major player in the renewable energy sector that has been organically adding assets to its portfolio, operates and manages a diverse portfolio of 75 PV plants across several different countries. The need to analyse and optimise production was essential in order to maximise revenue and operational efficiency.

CHALLENGES

The client faced the following challenges:

  • Geographical Diversity: Managing plants in multiple countries required a solution capable of collecting and analysing data from different sources.
  • Complex Analysis: Manual analysis of production, irradiation and price data was inefficient and limited the ability to 
    calculate technical KPIs and production losses on a daily basis.
  • Identification of Problems: The lack of an automated tool made it difficult to detect availability and performance problems and their effect on the portfolio at an early stage. 

SOLUTION

Quintas Analytics designed and implemented a complete automated solution to address the challenges mentioned above:

  • Centralised Data Integration Platform:  A platform was developed that collected data on production, irradiation and plant prices in different countries. 
  • Calculation of Technical KPIs: Algorithms were implemented to calculate availability and performance ratio, providing a detailed view of plant performance and its contribution at a portfolio level.
  • Loss Estimates: The solution estimated production losses caused by availability and throughput issues.
  • Daily Reporting: Daily reports were generated, comparing actual production with expected production, and ranking plants according to their contribution to the variance.

QX 02 Case of use - Report

RESULTS AND BENEFITS

Implementing the solution had a positive impact on operational management and decision making:

1. Data Integration: The centralised platform enabled efficient data collection and analysis, regardless of geographical location.
2. More Accurate Analysis: The technical KPIs calculated provided an accurate picture of the performance of the plants, their operational efficiency and the contribution of each asset to the portfolio's results.
3. Early Detection: Loss estimation and daily reporting facilitated early problem detection and decision making.
4. Continuous Optimisation: The identification of plants with the greatest variation allowed for precisely-targeted optimisation.
5. Operational Efficiency: The automated process eliminated the need for manual analysis and improved the efficiency of the management team, allowing them to focus on effective decision making.

CONCLUSIONS

The solution implemented for KPI calculation and analysis of a multi-country PV portfolio proved successful in improving operational efficiency, revenue optimisation and early problem detection. The centralised monitoring platform, automated calculations and daily reports provided powerful tools for effective and profitable management. This solution sets a valuable example for the management of similar solar PV projects globally.

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