Resources

Understanding wind shear is crucial for developing viable onshore wind energy projects. However, measurement campaigns are often time-consuming and costly. Our latest whitepaper explores how to shorten these campaigns, enabling quicker feasibility assessments and cost savings while ensuring accurate wind shear profiles.

In this whitepaper, we explore how physics-based Digital Twin technology creates value for asset operators. You will learn about different types of Digital Twins and of modelling, and discover why the physics-based approach offers faster, more accurate insights that drive performance improvements and optimise asset use. Additionally, we present a use case where a leading IPP used advanced Digital Twin analytics to optimise operations across 170+ sites, resulting into a 2-3% increase in energy yield, transforming their maintenance strategies and overall efficiency.

The impact of turbulence intensity on wind turbine performance is significant, yet there is no consensus on its precise impact on energy yield. To address these uncertainties, wind turbine manufacturers incorporate safety margins into warranted power curves, which can lead to substantial financial implications for wind projects. 3E has developed a simple yet robust method to model the influence of turbulence intensity on wind turbine power curves, with the aim of comparing with the approach used by manufacturers. In this article, we introduce a method for evaluting turbine performance losses, distinguishing between losses site-specific and generic power curve losses. This method is implemented in our Wind Analytics application to monitor the performance of wind turbines, and is also used by our Advisory Services to estimate performance losses in pre-construction energy yield studies.

In managing distributed renewable energy assets, traditional control center workflows struggle with scale and diversity. When operational teams try to expand their asset portfolios, relying on basic monitoring tools, such as graphs and status flags, becomes inadequate. This limitation is intensified by the proliferation of false alarms generated by standard asset performance management systems, hindering efficient workflows necessary for effective asset oversight.

In this whitepaper, Eurac Research compared the results of two PV yield simulation tools, namely 3E SynaptiQ and PVsyst, with the measured performance data of 12 reference PV systems. The results were evaluated at hourly, weekly, monthly and annual resolutions.

We are thrilled to present the report titled "Context-Sensitive PV Plant Component Benchmarking Based on Monitoring Data," authored by 3E as part of the TRUST-PV project. This report offers valuable insights into the influence of different contextual parameters on the distribution of key performance indicators for PV components.

In this white paper, we stress the importance of accurate modelling, both from a business and technical perspective, to minimise risks and maximise the return on investment of BESS. Furthermore, the techno-economic digital twin can ensure continuity of modelling throughout the asset's lifecycle, which enhances the development, commissioning and operational efficiency.

3E is proud to have participated in the writing of this report that was published in collaboration with the National Solar Energy Federation of India (NSEFI)

The handbook instructs on how to develop a Clean Energy Transition Agenda and provides inspiration for the next steps as well as a check-list for clean energy transition management’.

The report explores the importance of digital solar with a special focus on new and emerging markets outside of Europe.

TÜV Rheinland has validated and qualified as excellent 3E’s satellite derived solar irradiation data over 35 meteo stations in Germany.

3E’s satellite-based solar irradiation data is constantly evaluated against the reference data from the measurement stations making it the most extensively validated satellite-based irradiation data source

In the study, 3E’s state-of-the-art satellite derived irradiation data is constantly compared to the data of well-maintained public weather stations leading to constant improvement of the used irradiance derivation algorithms.

The Solar Bankability project aims to contribute to the reduction of the risks associated with investments in sustainable energy projects.

The Solar Bankability project aims to establish a common practice for professional risk assessment which will serve to reduce the risks associated with investments in PV projects.

Leveraging production data from nearby operating wind turbines provides crucial insights and benefits throughout the lifecycle of a wind project.

3E has developed a white paper that describes the different inspection and monitoring techniques used in the industry to assess gearbox condition and evaluate pros and cons.

The paper explains how a Smart Performance Monitoring Software outperforms a standard monitoring system by its effective asset reporting tools, its risk mitigation strategies, its response time to failure modes and the prioritization of actions and preventive maintenance tasks.