Wind Energy

Wind Energy

Blog Article

1. Wind resource, Energy yields and Site-suitability Assessments: Comprehensive Wind Resource Analysis: Our SMEs perform various activities including detailed analysis of satellite data, analysis of LIDAR or Met mast data, data validation and quality control for on-site measure data, long-term measurements for on-site data, and shear analysis. This way we ensure that the site weather conditions are accurately captured for further feasibility analysis.

• Flow modelling: SgurrEnergy's expertise extends beyond the conventional utilization of industry-standard software tools like WASP and WindPRO. We possess a deep-seated comprehension of these models functionality within real-time fluid dynamics contexts, enabling us to enhance and refine their predictive capabilities for accurately gauging wind flow patterns across project sites using topographical maps and on-site wind measurements. This proficiency proves instrumental in pinpointing project areas characterized by favourable wind conditions, facilitating strategic decision-making like micro-siting.


• Annual-Energy Production: Spatial extrapolations of wind conditions at each individual turbine are computed using the flow modelling techniques to estimate the Net Annual Energy Production figures encompassing the terrain features of the proposed wind project site. SgurrEnergy ensures that the predicted Net production figures accurately represent the real-time generation values by conducting a detailed loss analysis that includes wake losses, electrical losses, availability factors, noise and other environmental conditions that affect the performance of the wind project. Uncertainty analysis: Wind project revenue is often assessed on the basis of P75 and P90 probability levels. The higher the uncertainties, the higher will be the implications on financial aspects such as the cash flow and return on equity. At SgurrEnergy, these implications are accurately captured by conductin detailed uncertainty analysis using scientific methods so as to make informed decisions regarding turbine selection, layout desian and operational strategies to ensure the long-term sustainability of the wind projects.


• Site-suitability assessments: Turbulent conditions at any project site alter the design requirements for any wind turbines considered for the project site. At SgurrEnergy, we perform detailed calculations to determine the wind zones according to the recommendations of various international standards such as the IEC 61400-1. This will help in computing site-specific turbulence and extreme wind speeds so as to assess the suitability of any wind farm layout.


• Operational performance analysis and yield assessment SgurrEnergy's Operational Performance Analysis and Yield Assessment service aims to give thorough insights into the effectiveness and productivity of wind farms. This service evaluates the operational facets of wind energy projects, identifying opportunities for optimization and enhanced performance through advanced analytics and expert assessment. SgurrEnergy enables wind farm owners and operators to make well-informed decisions that improve the overall efficiency and yield of their projects by fusing data-driven analysis with sector knowledge. The main committed services provided by SgurrEnergy are listed below.

• Power Curve Assessment: Power curve performance testing serves two purposes: determining the economic viability of a wind project and confirming its adherence to expected performance standards. This enables investors to identify project underperformance and effectively reduce investment risks. The validation of warranties and regulatory compliance both depend on this type of testing. Additionally, it is suggested for projects located in open spaces and various other site circumstances. SgurrEnergy employs advanced tools to assess the deviation or percentage of conformity that individual wind turbines exhibit with respect to the IEC standards, enabling investors and developers to make informed decisions regarding the operational wind power project. SCADA analysis: SgurrEnergy provides the following major services under SCADA analysis.


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  I. Downtime Analysis: Downtime analysis involves grid downtime data, plant downtime data, and examining SCADA data of individual turbines to identify why the wind project is not performing optimally by analyzing the number of downtime events, their duration, and the time intervals between them. It provides insights into which turbines or subsystems are causing the most downtime and energy losses. Downtime analysis empowers wind farm operators to take corrective actions, implement maintenance strategies, and enhance overall operational efficiency. SgurrEnergy's downtime analysis service aids in identifying the root causes of downtime events and quantifying how they affect the overall performance of the power plant under contractual obligations.