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Maximising Financial Returns During Resource Assessment

Figure 1 DulasEnsuring Successful Wind Projects Requires Access to Optimised Resource Data
Investors and developers need high-quality wind resource data for financial modelling, and, with the decline in subsidy supports both in the UK and elsewhere, ensuring accurate measurements is critical. Much of the attention in this regard has focused on whether meteorological (met) masts or remote sensing devices will win out as the technology of choice in the coming years. However, with each possessing strengths and weaknesses, there are a range of other site and project considerations that developers must factor into early-stage site prospecting in order to reduce costs and maximise returns over the lifetime of a project.
By Alistair Marsden, Dulas, UK

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The New Democracy of Energy

ARG Figure 1Renewables and Block Chain Technology Unleash New Power Structures
We’ve seen it in other industries—the disruption that occurs when new players with breakthrough technologies demolish old barriers. Remember when half the world’s population had never used a phone? For decades, telecommunication leaders were stymied, unable to imagine how to reach every village in the world. Then came wireless. Today a goat herder in Asia can have a mobile phone and instantaneous connection.
By Michael Lumbley, Michael Lumbley, Alternative Resource Group, USA

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Geodesic Turbine

GT 01Easy Vertical-Axis Wind Turbines
Have you ever wanted to build a wind turbine yourself just for the fun of it or perhaps to generate power? Geodesic turbines have a mesmerising operational quality to them, easy enough to build and capable of performing work.
By Brandon Everhart, Geodesic Turbine, USA

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Operational Data Analysis with a Cloud-Based Wake Model

Lindahl Figure 1Joining Up Observation and Simulation of Wind Farms
When assessing the monthly performance of wind farms post-construction, uncertainty in assumed wake losses contributes a substantial proportion of uncertainty in the production assessment. The operational data analysis software of Lindahl now integrates the cloud-based wake model, WakeBlaster, providing a simple interface for simulating wake climate over the project operating history of a wind farm.
By Staffan Lindahl and Dr Wolfgang Schlez, UK

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Flow Complexity Recognition in Moderately Complex Terrain

A Comparison between Flow Complexity Recognition and Computational Fluid Dynamics
Leosphere Fig 1Lidar provides a widely accepted approach to wind speed measurement. With this technology, as with other forms of remote sensing, the usual assumption is that flow is homogeneous across the entire volume of measurement. However, in complex terrain this assumption can no longer be made, especially with respect to wind speeds at different heights (see Figure 1). This article considers two different approaches to wind speed measurement in moderately complex terrain and, by way of illustration, draws upon real-world examples.
By Peter Spencer, Chief Marketing Officer, Leosphere, France

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Data Analytics on the Bottom Line

How to Make Sure that Data Analytics Generate Actual Business Value
SGRE fig 1Most industries are implementing data analytic systems, tools and platforms, and hire people to program and operate these systems. This also holds true for the wind industry, which has a strong history of collecting and storing data. However, the core data analytics are only a small part of the assembly line that is required for such activity to generate value and a positive return on investment (ROI).
By Henrik Pedersen, Siemens Gamesa, Spain

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Sheltering from Thunderstorms

Meteorage Fig1An Evaluation of Lightning Locating Systems to Prevent Risk

Wind farms are known to be particularly exposed during thunderstorms and workers on site are prone to lightning strikes. Thunderstorm warning systems are widely used to prevent lightning related accidents and are already employed in several sectors such as industry, utility networks, leisure activities, transport and civil protection. This article outlines how lightning locating systems can provide an early warning, taking into account the needs of the operators to be notified with a sufficient lead time to apply safety procedures.

By Stéphane Schmitt, Product Manager and Head of Marketing, Meteorage, France

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