Exclusive: Offshore Wind Energy Market Report 2016

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Planet OS is actively engaged in the wind energy market, with a heavy focus on offshore wind. Building wind energy related data intelligence solutions has taught us a great deal about the wind energy market, so we have decided to share the key findings with the rest of the world by preparing this report.

We gathered information about all existing and planned offshore wind farms, analyzed the data, and prepared an easy to read, but thorough overview of the offshore wind energy market. The report covers global production capacity, construction activity, market trends, the potential and challenges of offshore wind, and other highly relevant topics. It also embeds various tables and visualizations, offshore wind farm maps for different regions, and more.

For your exclusive, free access the report please see for the link below, at the end of the article.

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In 2015, renewable energy expanded at its fastest rate ever (152 GW), with global capacity reaching 1985 GW. That represents an 8% increase from the year before. Nineteen countries contributed by installing over 1 GW of renewable energy capacity. In addition, last year saw global investment in renewables rise to a new high of $329 billion, up 3% from the previous record set in 2011.

Make Better Business Decisions With Advanced Analytics And More Data

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Most data scientist will tell you that with more relevant data their algorithms produce improved results that lead to better business decisions. This is true in many industries, but is especially important in the renewable energy business, where data is a critical tool in becoming more competitive with traditional energy sources like coal and natural gas.

Below are three examples where better business decisions were achieved from improved algorithms and more data:

1. In a recent article on Altenergymag, Vestas Wind Systems used more wind data and advanced analytics to calculate what size turbines to use and where to place them on the Fosen peninsula wind farm in Norway. This reduced the total investment by €150 million, lowered operating and maintenance costs, and changed the project from unfeasible to feasible.

If you are looking for more data to improve your wind energy operation, below is some data available via the Planet OS API:

2. Solar Industry Mag writes about how Locus Energy, Space-Time Insight, and Bidgely used more solar data and advanced analytics to improve solar energy supply forecasting, enable fine grain demand response campaign planning, and enhance real time grid balancing operations. This resulted in better decisions about where to deploy solar generation, faster response to power demand, and lower operating costs for solar power infrastructure.

If you are looking for more data to improve your solar energy operations, below is some data available via the Planet OS API:

  • Downward Solar Flux from NOAA NAM
  • Visible Beam Downward Solar Flux from NOAA GFS

Now Available: NAM Forecast Regional Data

dataset update

On the heels of last week’s Datahub update, we’ve just added four additional regional NAM forecasts and the full complement of pressure level fields for the 12 km CONUS grid.

NAM: CONUS Full Complement of Pressure Level Fields – 12 km
A 84-hour forecast of pressure-level fields containing 127 variables at hourly and 3-hourly time steps and covers the Contiguous United States at a 12 km resolution.

NAM: Central America/Caribbean – 12 km
A 84-hour forecast containing 92 variables at 3-hourly time steps and covers Central American and the Caribbean at a 12 km resolution.

NAM: North Pacific – 12 km
A 84-hour forecast containing 92 variables at 3-hourly time steps and covers the North Pacific (including Hawaii) at a 12 km resolution.

NAM: Hawaii Nest – 3 km
A 60-hour forecast containing 245 variables at hourly and 3-hourly time steps and covers Hawaii at a 3 km resolution.

NAM: Puerto Rico Nest – 3 km
A 60-hour forecast containing 245 variables at hourly and 3-hourly time steps and covers Puerto Rico at a 3 km resolution.

Geospatial IoT Insights – August 24


A chart from Swiss Re shows why insurers are climate change believers. The cost of severe weather has become eye-poppingly huge. Whether they’re paying for hurricane cleanup or reimbursing farmers for lost livestock and crops, insurers foot much of the bill for disasters associated with climate change. The cost of insured weather catastrophes has been soaring far faster than inflation. [Fortune]

Offshore wind: Europe far ahead, Siemens largest by far. The Energy Collective has summarized its findings from the latest WindEurope and Planet OS market reports. The number of new offshore wind installations in Europe went down sharply in the first half of 2016, but investment grew to a record €14 billion, promising higher growth in the coming years. Siemens installed all 114 new turbines in Europe in 2016 and has a global market share of 64%. [The Energy Collective]

Will the IoT be bigger than the Industrial Revolution? In total, there will be 34 billion devices connected to the internet by 2020, up from 10 billion in 2015. IoT devices will account for 24 billion, while traditional computing devices (e.g. smartphones, tablets, smartwatches, etc.) will comprise 10 billion. Nearly $6 trillion will be spent on IoT solutions over the next five years. Businesses will be the top adopter of IoT solutions because it can improve their bottom line by 1) lowering operating costs, 2) increasing productivity, and 3) expanding to new markets or developing new product offerings. [BusinessInsider]

Datahub Update: NAM Forecasts and Global Wind Datasets


This week we’ve added four new datasets to Datahub, including the North American Mesoscale Forecast System (NAM) and a 28-year 6-hourly Wind Vector Analysis product.

North American Mesoscale Forecast System (NAM)
The 12 km Contiguous United States (CONUS) and 6 km Alaska NAM forecasts are now available in Datahub. The North American Mesoscale Forecast System is one of the primary vehicles by which NCEP’s Environmental Modeling Center provides mesoscale guidance to public and private sector meteorologists. The model is run four times daily and includes 173 unique parameters, including wind, temperature, precipitation rate, and vegetation type.

Near Real Time Global Ocean Winds
The global ocean near-real-time 6-hourly L4 wind product provides high-resolution spatial and temporal gridded wind fields over the global oceans using both ASCAT and OSCAT retrievals as observations. The blended wind fields are estimated over global ocean with the spatial resolution in both longitude and latitude of 0.25 degrees and the temporal resolution of 6 hours. The dataset parameters include wind speed, zonal and meridional components, wind stress amplitude and the associated zonal and meridional components.

palm trees hawaii for blog

Geospatial IoT Insights – August 18


One of the biggest challenges of geospatial data is finding the right data in the first place. Peter Wells analyses why we need to learn how to search the web of data. Data search is still in the portal era, but portals do not meet all user needs. But imagine a world where you could search for, find, understand, trust and use data as easily as you can for news. [Open Data Institute]

Earth observation data: Multibillion-dollar opportunity — or dud? Earth observation has become a great investment opportunity. The sector has significant potential for exponential growth. The key market drivers are new unique datasets and satellite imagery analytics. An overall increase in the quantity and quality of data will easily open up new markets that could not afford satellite imagery today. [Venturebeat]

Geospatial IoT Insights – August 11


Predicting electricity demand with climate data. Climate and energy scientists have developed a new method to pinpoint which electrical service areas will be most vulnerable as populations grow and temperatures rise. This helps decision makers to understand future substation needs. [ScienceDaily]

Digital agriculture driving new revenue sources. The major agriculture players view the ability to offer new products and services to fill their pipeline as the key to their future growth — and digital agriculture has the potential to do just that. The opportunity lies behind the farmers’ challenge to do better with the resources and infrastructure they already have. [Techcrunch]

Wind power fiercer than expected. University of Delaware researchers report in a new study that offshore wind may be more powerful, yet more turbulent than expected in the North Eastern United States. The study found that wind conditions at Cape Wind are unstable between 40 and 80 percent of the time. [Phys.org]

GRACE Tellus Monthly Mass Grids Now Available

GRACE Gravity Model 03 (GGM03)

The Gravity Recovery and Climate Experiment (GRACE) Tellus Monthly Mass Grids for both land and ocean are now available in Datahub. Each dataset provides monthly mass deviation, expressed as liquid water equivalent thickness, relative to the baseline average from January 2004 to December 2009.

In addition to the GRACE Tellus Monthly Mass Grids, we have also added monthly Global Land Data Assimilation System (GLDAS) Land Water Content data. This product contains monthly averaged total water content, expressed as liquid water equivalent thickness, relative to the time-averaged grid from January 2003 to December 2007.

The GRACE mission began in 2002 with the launch of two twin satellites designed to record detailed measurements of Earth’s gravity field. Originally planned as a five-year mission, the two GRACE satellites have completed more than 13 years of continuous measurements.

Surface Soil Moisture Percentile

Data from the GRACE mission has various practical applications. The National Drought Mitigation Center uses GRACE data to generate weekly drought indicators; geophysicists have used GRACE data to analyze how large seismic events have shifted the Earth’s crust; and climate researchers use GRACE data to investigate how changes in land ice mass have contributed to rising sea levels.

For more information on the GRACE mission, its associated data products, and the GRACE-FO follow-on mission scheduled for a 2017 launch, visit grace.jpl.nasa.gov.

Analyze More, Prepare Less

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It’s a well-documented fact that data analysts spend too much time preparing data rather than analyzing it; estimates range from 40-60% from Blue Hill Research to more than 45% from Ventana Research.

Renewable energy data analysts are likely at the high end of this range given the added complexity of weather data, each source having its own unique format and resolution.

Yet, the renewable energy industry can benefit more than most given the large impact weather data analysis can have on revenue and earnings.  For example, wind farm operators could make millions more per year if they could schedule incremental turbine maintenance just before high wind days. So how can companies get the business benefits without wasting half their data analysts time preparing data?

Try a new cloud service called Datahub that provides thousands of Earth science data parameters through a single API.  You can use it for free at data.planetos.com and see how much more time you have to analyze your data. If you have questions or comments, please let me know at gkleiman@planetos.com.

11 Regional WaveWatch III Forecasts. 6 Months of Unlimited API

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Last week we significantly expanded our wave forecast coverage with 11 regional WaveWatch III datasets, including the North Pacific and North Atlantic Hurricane wave models.

NOAA WaveWatch III Regional Wave Models
The regional WaveWatch III forecasts are updated every six hours and provide 180 hour forecasts (126 hour for Hurricane products) containing wind, wave, and swell data.

The Hurricane wave model uses a blend of GFS winds and hurricane winds at 10 meters above Mean Sea Level (MSL) as forcing conditions, while the Global wave model uses just the GFS forcings and is run side by side with the GFS forcing.

Coverage includes the East and West coasts of the U.S., Alaska, Arctic, North Atlantic, North Pacific, and East Pacific regions, with varying spatial resolution per region.



Our friends at Geoawesomeness are celebrating their 5th birthday with a special Giveaway Campaign. We agreed to participate and will give out six months of unlimited API calls in Planet OS Datahub!