Geostellar Big Data Solar Geomatics 1.0 041611

8/7/2019 Geostellar Big Data Solar Geomatics 1.0 041611

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Geostellar s Big Data

Solar Power Geomatics

Geostellar 224 W. King Street, Martinsburg, WV 25401 (304) 260-8585 [email protected] www.geostellar.com
http://www.geostellar.com/http://www.geostellar.com/


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Geostellar s Big Data

Solar Power Geomatics

Background

Geostellar is a venture-capital backed company based in Northern Virginia. We provide a subscription platform for

assessing the viability and optimizing the design, development and operation of clean and renewable energy projects. We

have pioneered the application of big-data geomatics to compute at the highest possible resolution solar power

production potential over broad rural, suburban and urban landscapes. With the highest-resolution resource model

available, we perform computations on various spatial data sets to factor property ownership, assessed values, utility

rates, incentives, hazards, entitlements and transmission capacity into the simulation.

Product

Geostellars Big-data Geomatics for Business Intelligence and Decision Support

Geostellar has developed an easy to use platform for computing, searching, evaluating and sharing high-resolution

business intelligence to help solar power project developers make better decisions and increase the effectiveness and

efficiency of operations at utility-, commercial- and residential scales. For the first time, with Geostellar, complete

situational awareness can be achieved without setting foot on-site. In addition to the efficiencies created in remote solar

design, Geostellar supports marketing campaigns targeted at the best properties within the best zip codes in the best

regions based on a number of factors, including solar power potential, utility rates, property values and incentives. The

advanced data structures enable complex searches across vast landscapes accounting for every critical factor.

User Experience

Geostellar allows non-technical subscribers to gain precise, valuable intelligence on every property in an area-of-interest

through a powerful and intuitive interface. Geostellar provides access to high-resolution models, search, analysis and

collaboration through standard web browsers, using the Google Earth plug-in for visualization of 3D solar, slope and

shadow in raster images, infrastructure vectors such as transmission and roads, and polygons delineating solar

production site boundaries.

Geostellars Big Data Solar Power Geomatics White Paper Copyright 2011 Geostellar 1


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Search results are listed in the left-hand pane, in this case the search was for potential commercial rooftop commercial

sites in Washington DC with production potential up to 8kW, ranked by Peak MW. Search results can be resorted by a

number of factors. The user can navigate through the search results on the map view by clicking on the links and pull up

a site dashboard with details of production, ownership and transmission by clicking on the pin or the Report View tab.

The green polygons that delineate the developable rooftop surface area can be hidden by de-selecting the Show Search

Results check-box to reveal the color photography beneath.



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Utility-scale solar power developers can prospect for rural sites that meet specific criteria.

Once potential sites are identified, developers can gain a complete understanding of area of interest, including the effects

of slope and shadow, as well as land ownership, transmission and exclusions from entitlements and hazards.



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Search filters include power generation potential, insolation, slope, distance to transmission lines and substations,

capacity of the interconnections, size and number of tax parcels, appraised value and other factors.

The dashboard for utility-scale sites displays information about the land owners and distance to transmission lines and

substations.



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Users can drill down into site details, such as contact information for the property owner, by clicking on dashboardelements.

Transmission lines, substations and other infrastructure elements can be viewed on the map in relation to the potential

sites.

Technology

Geostellars big-data geomatics platform is composed of four major subsystems for normalizing data sets; simulating

power production based on resources, infrastructure, economics and policy; searching, analyzing and visualizing results;

and collaborating within and between organizations.



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TopographyResourcesInfrastructurePolicyIncentivesProductionTransmissionStorageCapacitySupplyDemandCompetitionLand useOwnershipEnvironmentWeatherTemperatureHazardsPrices

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Geostellar creates integrated models from a wide variety of publicly available, commercially procured and internally

generated datasets.

Geostellars simulation engine applies advanced algorithms to a vast array of data sets to generate an integrated model

of power generation in the micro-local context over broad landscapes at the county, state and national scale. For

example, with the solar simulation, Geostellar applies successive algorithms on spatial data sets to compute a high-

resolution, integrated production, distribution and economic model.

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Once integrated into the enterprise, Geostellar helps subscribers monitor changes in the area of interest; model and

forecast production and distribution; manage people, places and processes; and mobilize resources more effectively.

Monitor

Model

Manage

Mobilize

Geostellar supports granular access control, enterprise integration and advanced collaboration to fit corporate

operational processes.

Value Proposition

Geostellar is genuinely better, faster and cheaper than any alternative.

Better. We provide the most accurate, highest possible resolution results that account for the most factors involved in

decision making.

Faster. We pre-compute the simulations across broad regions and store the results in advanced data structures that

give users instant results to complex queries and comprehensive business intelligence at the push of a button.

Cheaper. Our annual subscription fee is based on the number of tax parcels in the area of interest (for residential and

commercial scale), or based on the number of counties and users (for utility scale).

Because our subscribers achieve better results, more rapidly at a lower cost than any alternative, Geostellar is emerging

as a basic, necessary business system for stakeholders across the solar power industry.

The value proposition for Geostellar is clear. By adopting our platform, subscribers can receive a high return on

investment across marketing, design, development, financing and operations and maintenance activities.

We hope you will join us in saving the world, one pixel at a time.

For more information, please visit us at http://www.goestellar.com.

http://www.goestellar.com/http://www.goestellar.com/

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Geostellar Big Data Solar Geomatics 1.0 041611