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RE Data Explorer User Applications from Around the World (Text Version)

This is the text version of the video RE Data Explorer User Applications from Around the World.

In this video, users of the RE Data Explorer geospatial analysis tool share how they have leveraged the tool’s renewable energy resource datasets for clean energy project development, long-term energy planning, and academic research.

[Caption: The RE Data Explorer is providing high-quality, no-cost renewable energy data sets to users all over the world for data-driven decision making. A number of these users shared how valuable this data is for clean energy project development, planning, and research.]

[Caption: Rommel Glenn Mendova, Project Development Officer, Office of Sustainability, Bataan Peninsula State University, Philippines]

>>Rommel Glenn Mendova: The Himawari data set enabled our research to create a more robust data to be used in a multicurricular ranking tool. Mostly we used the data on the university itself. We have speculated everything from the areas of the most suitable for solar PV installations and their corresponding theoretical solar generation. We found about 12 percent of the roofs inside the university campus are suitable for solar PV installations.

[Caption: Cess Virtusio, Masters of Business Analytics Student, Kaplan Business School of Australia, Philippines]

>>Cess Virtusio: I am very passionate about how analytics can drive renewable energy and create social impacts especially for my nation in southeast Asia. The objective was to use the RE Data Explorer to extract high fidelity solar resource data along with meteorological data to train a machine learning algorithm that predicts solar irradiance. This algorithm can then be applied to other data sets from the Philippines and other parts of the world. I have built, trained and tested the model and its now able to predict solar irradiation measures just by using meteorological and other features with 93 percent accuracy. And I aspire that in the future it will be used by organizations and communities in developing countries such as my home country the Philippines to encourage investment in solar infrastructure and educate and build livelihood for local communities.

[Caption: Lucero Luciano De La Cruz, Renewable Energy Analyst, Ministry of Energy and Mines, Peru]

>>Lucero Luciano De La Cruz: RE Data Explorer has been a very important tool to support long term energy planning for Peru. Our country is in an area of the world with a high potential for renewable resources. Using the RE Data Explorer, our team published a document to allow agents in the energy sector to say business and academia to have a technical reference for an evolution of solar energy potential. And you can find this document in our website.

[Caption: Luis Vilchez León, Coordinator of Energy Planning and Renewable Energy, Ministry of Education and Mines, Peru]

>>Luis Vilchez León: We try to promote investments in every technology and every resource. And RE Explorer would make a good tool for investors to know more about the potential in our country.

[Caption: John Modin, Co-Founder and Chief Technology Officer, Glint Solar, Norway]

>>John Modin: We have a software that allows solar developers to find and evaluate utility scale solar project sites. We're using it for two different things. We have one site evaluation tool where the customers, solar developers go in, look for sites using different search filters that we have built. Solar resources is very important as part of that because we're trying to build solar projects. And the second thing we've done is we have had a number of customer engagements where they've asked us to go deeper into specific areas and many of them in southeast Asia. And here we use the Himawari data to figure out the feasibility of certain projects and it was the solar resource data we used. Of course we used also lots of other data layers to create a comprehensive picture of the site and the opportunity and help evaluate where on the site would be a good idea or if at all a good idea. One of the sites that we helped evaluate has been – they have decided to build there. That's exciting.

[Caption: Luis Carvajal Fernandez, Sustainability Operations Specialist, Siemens Energy, Mexico]

>>Luis Carvajal Fernandez: For the factories that we have in Mexico we wanted to install solar PV so for that one was specifically about predicting how much it would generate. So that was a very useful tool and we put it inside our own internal tools based on what we extracted from the data sets. As part of the activities we have for social impact we are trying to plan a brief visibility study for a solar impact project. So we want it to be for communities, for local communities that could benefit from solar and wind.

>> Rommel Glenn Mendova: I would absolutely recommend the use of the NREL Himawari data set for the Philippines. If the Himawari data set did not exist we would be having trouble in the statistical robustness of the research.
>>Luis Carvajal Fernandez: One really good feature about this is that its really straightforward. You just pin it or put the area geographically. You kind of draw it and then you get what you need.

>>John Modin: If we didn't have this data we would have to rely on some other hourly data which is not as reliable. So we would have to explain to all of our customers that you can't really trust this and that would have been embarrassing.

>>Lucero Luciano De La Cruz: The RE Data Explorer tool's application allows the evaluates the renewable energy potential of Peru and use in the satellite data to better understand our context wind and solar resources.

>>Cess Virtusio: I did not find any other tool that is seamless, extensive, customizable and intuitive. It is actually the best in class. The RE Data Explorer made my life so much easier with it's quick, no cost, and convenient access to data.

[RE Data Explorer, USAID, and NREL logos appear on screen with the text: - If you are interested in exploring opportunities to develop additional unique capabilities and data sets in collaboration with the USAID-NREL Partnership, contact us: [email protected].]

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