Recorded Voice: The broadcast is now starting All attendees are in listen-only mode Loi: Good morning or good afternoon I’m Sandra Loi from the National Renewable Energy Laboratory Welcome to today’s webinar on the BioEnergy Atlas tools The Department of Energy’s Bioenergy Technologies Office funded the BioEnergy Atlas tools, which includes biofuels and biopower atlases These tools are designed as a first-path visualization tool that allows users to view many bioenergy and related databases in Google Maps Kristi Moriarty and Anelia Milbrandt from NREL will lead the webinar and will demonstrate the tools and review the data sources Before we get started, I’ll go over a few items so that you know how to participate in today’s webinar As noted at the start of the webinar, all attendees are in listen-only mode and will remain so through the entirety of the webinar When you logged into today’s webinar, by default, you will be set to listen in using your computer speaker system If you would prefer to join over the telephone, just select “telephone” in the audio pane, and the dial-in information will be displayed We will be hosting an online question-and-answer session at the conclusion of the presentation We encourage you to submit questions as the presentation takes place You can do so by typing your questions into the questions pane of your control panel We will collect these and address them during the Q&A session at the end of today’s presentation We are recording today’s webinar, and we will be posting it within the next two weeks And without further ado, I’d like to pass the webinar over to Kristi Moriarty Kristi, you may begin Moriarty: Thank you for the introduction And just briefly, before I get started in showing you how to use the tool and discussion of the data sources that we used in this tool, I’m going to have Dan Getman, NREL’s GIS team lead, speak briefly on the architecture and the IT behind the system Thanks, Dan Getman: Yeah, thank you, Kristi So I won’t bore you guys to death with technical details, but I think it’s important to, when you think about the tools that we’re showing, they are independent things that people go and use on their own But they are also part of a much larger framework at NREL that we have built as sort of a grassroots effort to provide access to geospatial and spatial temporal data and analysis in a variety of domains And so these tools are built using a platform called Open Carto, which had been around for seven or eight years now, and has been funded to – through and used to build applications in almost every domain of renewable energy that DOE supports And so we work with transportation; we work with hydrogen; we work with biomass, biofuels; we work with solar, wind; we do international applications – all using the same framework And the reason why this is critical is that these frameworks can be complicated to build and expensive to build and maintain And by doing it in this way, by leveraging open-source tools and leveraging opportunities to produce functionality across all of these different domains, we have leveraged funding across all these domains to make every single application better And so when we do analysis in something like BioEnergy Atlas, that helps support things that we do in Solar Prospector, and when we do something in Wind Prospector, to do a visualization, that comes back and also helps support BioPower Atlas And so the servers, the data, the databases, the architecture development, and all of this is a big, fully collaborative effort across several groups at NREL and across several offices at DOE and branching out into leveraging funds and opportunities to produce capabilities with other agencies like USAID and even international organizations, like International Renewable Energy Agency Moriarty: Great Thank you, Dan Appreciate that And if anyone has questions on the architecture IT, please just submit them, and we’ll have Dan respond to those at a later time So I’m going to start with going through each data layer and explaining how they work And Anelia is going to dive into some of the data sources that she prepared for this tool So we don’t have a corn or soybeans feedstocks ’cause those are very well developed, and those plants are largely built So the focus is on advanced feedstocks and cellulosic feedstocks, so we have sugar beets and sugarcane in here because they are considered advanced feedstocks So any time you have a data layer turned on, to the right, you’ll see a down arrow and a question mark The down arrow allows you to download the data for the entire country And the CSV format, that allows you to have it in Excel, and the other three data formats allow you to use it in a GIS system if you want to use it in your own tool or in mapping

The question mark shows you the data source So in this case, for sugar beets and sugarcane, the come from a five-year average production from USDA data from the National Agricultural Statistics Service So anytime that you hit the question mark on one of these data layers, you’re going to have the date for the data layer, and an explanation and usually a link so you can get to that data source if you want more information on it There’s also a legend for each, and in the case of the feedstocks, it’s generally going to be in tons per year, 1000 tons per year, and you can adjust the transparency so that you can see other data layers or see an area more clearly And then, over here, we have Home What that’s going to do, it’s just going to re-center you on the U.S We do also have Alaska and Hawaii, but for the purposes of this demonstration, I’m going to focus just on the continental 48 You can print the map that you’re looking at The feedback, if you put something in there, the question’s generally going to come to me, and we will respond This is just built in Google Maps, typical zoom in, zoom out This one allows you to zoom in a specific region, and the bullseye-looking one allows you to enter city, state, specific location And we’re probably going to add that up to here, to the menu bar, eventually, so it’s easier to find Now, I’m going to move into crop residues, and I’m going to have Anelia comment on the data sources and the information related to these data layers Milbrandt: Thank you, Kristi, and thanks, everybody, for joining us today For gas, we use the sugarcane production data from the USDA 2012 Census of Agriculture And this data will _____ process using crop-to-residue ratio in accounting for moisture content For the following five feedstock, mainly barley straw, corn stover, grain sorghum stover, rice straw, and wheat straw, uses a slightly different methodology The base data still comes from the 2012 Census of Agriculture from the USDA For the process to estimate the crop residues, we applied the crop-to-residue-production ratio and also account for moisture content We assumed that only 35 percent of the total residue could be collected as biomass The remaining portion is to be left on the field to maintain ecological function We recognized that the retention rate could be more or less than the 35 percent, we assume, and that depends on the crop type, the soil type, erosion type – excuse me – climate conditions, and fuel management practices In reality, it is not a fixed percentage but the range This conservative value of 35 percent is used only for illustrative purposes, and we strongly suggest that a more detailed analysis conducted on the ground for planning and citing efforts Moving on to woody biomass, the forest residues, this category includes logging residues and other mobile material They are derived from USDA Forest Service Timber Products Output database in 2012 This database illustrates 65 percent of the logging residues and 50 percent of other immobiles, which is the portion that could be collected as biomass The primary mill residue just include wood materials – coarse and fine – and bark generated at manufacturing plants when round wood products are processed into primary wood products This data is also from the 2012 TPO database from USDA Urban wood waste is data collected and generated here at NREL It includes wooden material from municipal solid waste, wood chips and pallets, utility tree trimmings and private tree companies, as well as construction and demolition sites Data for – or I should say base data for this type of analysis we use from the U.S Census Bureau, BioCycle Journal, and mainly their article and data collection efforts for “The State of Garbage in America” in 2008 We also used data from the County Business Patterns 2012 This is a product of the U.S. Census Bureau And all of these and additional data sets were used and for the process to estimate the amount of urban wood waste by county Moving on to the secondary mill residues

These residues include wood scraps and sawdust from woodworking shops, for example, furniture factories, wood containers and pallet mills, and wholesale lumberyards Data on the number of businesses by county was gathered from the U.S. Census Bureau, 2012 County Business Patterns, some additional data sources, and it was for the process to estimate the amount of secondary mill residue by county We also have included biomethane layers This is practically cleaned up and purified biogas The following four resources included here in this analysis – methane estimate – sorry – methane emissions from landfills, animal manure, industrial, institutional, and commercial organic waste – this is really food waste – and methane generation from wastewater treatment plants There’s a lot more information for each of those type of feedstocks It’s available _____ _____ and showing currently if you right-click on these databases We also include data from the Billion Ton Study This data we organized by county and state, as it is on the KDF website This particular data set is for the year 2022 and is only for $60.00 per ton It’s only for illustrative purposes We strongly encourage your folks to go the KDF and view additional data sources and information And finally, we have also energy crop yields data This sort of data is supplied by the Energy Biosciences Institute This is a collaborative between University of Illinois at Urbana, Berkeley University, Berkeley National Lab, and BP They provided data from the Biofuels Ecophysiological Traits and Yields database for these five crops Thank you I will stop here, and I’ll let Kristi continue Moriarty: Great Thank you, Anelia Now, we’re moving on to the biofuels plants data layer Here, we have the biodiesel plants, and those are currently sourced from the National Biodiesel Board We do plan, at some point in the near future, to replace that with the monthly review by the Energy Information Agency simply because they update a little bit more often Ethanol plants are routinely updated, and those are from the Renewable Fuels Association Integrated biorefineries are those pilot pioneer plants and demonstration-scale plants that are funded by the Department of Energy’s Bioenergy Technology Office Moving on to bio power plants, these come from EPA’s eGRID database, and keep in mind that it might not include all power plants because the data’s from 2010, which was released in 2012 And every few years, they update it, not on any time schedule, but eventually, as they update their data, then we’ll update it here So we have agricultural byproducts, digester gas, landfill gas, municipal solid waste plants, wood and their byproducts, and pallet plants Bioenergy sites are from the EPA, and as you can see, there’s very many EPA’s RE-powering America’s Land Project did an analysis of their brownfield and Superfund and other sites to look and see if the necessary infrastructure was there to support a renewable energy plant And in the case of bioenergy, was there a biomass feedstock resource nearby? And they would love for you to build your bioenergy plants on of their sites Moving on to more of the traditional power plant area, we have the oil refineries, which are sourced from Energy Information Agency and are updated annually And then, the power plants are also from the EPA’s eGRID database for the year 2010, so those are the coal plants across the country The co-fire with biomass is a subset of these plants, and I think it’s interesting because it could represent competition for a biomass feedstock, or you could contact one of these power plants and see who’s supplying their feedstock and at what price to get some good information And then, we also have the other renewable energy plants, which are not biomass in here It’s geothermal and hydro – natural gas, nuclear, other, oil, solar, and wind plants

Alternative fuel station locations come from Department of Energy’s Alternative Fuels Data Center station locator They’re updated monthly, and we include biodiesel stations and E85 stations in here at this time However, if you’re interested in other fuels, such as hydrogen, those are available on the AFDC website And then, we also have vehicle densities, and these come from IHS It is a purchased data set that we purchase annually that has registrations for all cars at every ZIP code level, so we include in this diesel and flex fuel But if you download the data set – we’re not able to share the exact numbers since it is a purchased private data set, but in the legend, it’s vehicles per five square miles So it does give you an idea of the concentrations in the area And one of the things that’s made possible and quickly when you have mapping data is I’m going to turn on the E85 stations, so you have that and the flex fuel Instead of looking at large spreadsheets, I think I’ll just go to New Jersey here You can start to see a opportunity You know, if I’m looking in this space, you have this high concentration of flex fuel vehicles in the Philadelphia area, but there’s not anywhere to refuel, so that could be an opportunity to put in a station or a few stations in that location since there’s such a high concentration So now, I would like to show some of the functionality of the tool, so I’ll go ahead and click on “corn stover.” And if you go on to the query, if you do a point query, at least with county-level data, it’s going to bring up a couple of the counties in the level in that area so you can see what’s going on there If you go to Region Query – I’m just going to zoom in a little bit – you can draw a box, and it’s going to pull county-level data So you’ll see down here I queried in Iowa all these different counties, and then the tons per year that’s generated, and you can download and save to Excel, that regional query So with a custom one, this allows you to draw a random shape that’s not a rectangle and give you an idea of what’s possible Oh, snap, you can’t draw that I did something that set it there, so that didn’t quite work And then Attribute Query is a little bit more advanced So if you just wanted to know, for example, maybe in a state, corn stover, that’s greater than 100,000 And I’ll just say for Colorado since that’s where those of us who are speaking are sitting, right now You can find out really specific data like that It just gives you a little bit more flexible to the query So the next feature that I’d like to show is the state query that I think a lot of state energy offices and maybe some agricultural offices might find interesting We’ll zoom in on Illinois here, so it just brings you to zoom in onto the one state, and you can see here on the left-hand side, we have state-level summary information, so gasoline and diesel consumption, electricity and natural gas consumption, a number of conventional power plants and their generating capacity, oil refineries – their capacity, renewable power plants So that’s going to be geothermal, hydro, wind and solar And then, in the center, we have the bioenergy production and infrastructure for the state, so number of biodiesel and E85 stations, ethanol and biodiesel plants and their capacity And sometimes, you might see that zero capacity, and that’s just because the plants aren’t sharing that information and then the biopower plants and their nameplate capacity Over here, the feedstocks, it’s just totaling feedstocks for the state, and the potential ethanol production is just based on the biomass feedstock characterization database and timesing that by a 50 percent resource It’s just giving you an idea of what’s possible It’s not an exact calculation And here, we have the data sources for all the state summary tables, and you can download

this table to Excel Next, we’re moving to the analysis feature So you click on this, and it allows you anywhere on the map to draw a circle, but please don’t draw a circle on the whole country ’cause that’ll really hit our databases hard So I’m drawing a circle on these counties in Iowa, and what’s happening over here is it’s pulling in the total feedstocks for those counties where the circle is, and then it’s doing a potential biofuel yield, which is based on the theoretical ethanol yield from the biomass characterization database I cannot say that word And you can edit that if you think you’re going to get 100 gallons per ton but only 25 percent of the feedstock It gives you that new number there It just gives you an idea of what’s possible in the area And then, Incentives is a new feature that we recently put in here since that’s a important thing to understand when you’re siting a bioenergy plant or going to use a fuel in a place, what’s available So I’ve selected Oregon here So that’s pulling in the state incentives for that state with biofuels, and if you click on the left-hand side, it’s going to give you a description of what’s going on there And for biofuels, these are from the Alternative Fuels Data Center laws and incentives, which is updated on the end of the legislative calendar year for each state If you want even more details, you can click on this link, and it will take you to the Alternative Fuels Data Center Website, so you can get even more information We also have the BioPower Atlas tool, so it’s focused on generating power from biomass resources rather than the biofuels And many of those same data layers are shared between the tools, but there are some differences, and I’m going to have Anelia comment on those Milbrandt: Right So in terms of feedstock, the only difference is really we have the same layers that’s in the BioFuels Atlas The only difference here is that we’ve bundled all the crop residues layer here just because of the nature of biopower We don’t really have to distinguish between the different crop residues, but then, also, the fact that, as we all know, biopower doesn’t really use very much of the crop residue It’s primarily focused on woody biomass, so we just sort of follow suit in that area So but that’s – it’s really the same _____ _____ _____ [break in audio] We just sort of put them into a processing and harvest and crop residue, but it’s, again, the same type of data In terms of additional, layers, here we added to the EPA layers and the greenhouse gas emissions from stationary sources really as a reference layers only to support decision making in terms of reducing greenhouse gas emissions through the use of renewable energy, in this case biopower This data set comes from EPA, and again, as you click on each of the layers, on the question marks, you can gather more information for each individual layer Moriarty: So with the analysis, the query works exactly the same with the state zoom and with downloading the data behind, but the analysis, obviously, for this is going to be – let me turn on a data layer, turn on wood But if I do analysis – I’ll go over here in the Washington area – same thing It pulls in, from that circle, all that county-level data for the crop residues and for the forest residues and methane layers, and we have some pre-loaded assumptions in here, but you’re free to change in there these fields in white to see how that changes the potential for the characteristics of the energy plant that you’re interested in And then, we’ve also added incentives for biopower So click on Colorado here So same thing – you get information on a – different biopower incentives are in the

state of interest, but instead of linking to _____ AFDC, power goes to the DSIRE database and website And you have a summary of the information here, and then you have – if you click on the details, that’s going to take you to that website for even more information So that just rounds up how to use the tool, and luckily, we’re not going to take up too much of your time, but we’re happy to answer any questions, now And if any came through during the webinar, we will start to answer those And if you have some now, feel free to enter them into the question box Loi: Great So yeah, Kristi, thank you for your presentation, and, Anelia, thank you so much – very informative We did get a couple questions online, and as Kristi said, you can go ahead and continue to enter them in the questions pane, and we’ll go ahead and address as many as we can The first one I had here, I think, is just related to the BioFuels Atlas since that’s what you started with Someone, I guess, is wondering when that tool is going to be live I guess they were running into an error message I’m not sure if it’s a system glitch or something I don’t know if you’re aware of any issues today Moriarty: I’m not aware of any issues Feel free to contact us back If you click on the feedback and let us know what area you’re having, we’ll definitely look in – have the IT team look into that The tool is live and up and running, so let us know what browser you’re on so we can check that Loi: Okay Great The next question I have here is, “Is land ownership consider in any of the feedstock estimates? For example, for forest residues, is there a distinction made between public and private forest land?” Moriarty: No The data comes directly from the Timber Product Output database, and it is not structured in a way to distinguish between those forestlands, but thank you – just the pure raw data in terms of feedstock availability by county at this point Loi: Okay Great Next question here: “Does the landfill layer just include the listed 40 CFR landfills? Or does it screen out those paths or production _____ or those with other LFG projects cited already?” Moriarty: Landfill data _____ _____ _____ feedstock – I can mention, briefly, about the feedstock We did not speak about the biomethane layer I wasn’t sure how much time we had – didn’t want to take too much time on the feedstock, but so the methane emissions from landfills, for that particular estimate, we estimated the methane emissions at each landfill We considered the total waste in the place, the status, whether or not it’s opened or closed, and the waste acceptance rate, using data from the EPA’s LMOP database – Landfill Maintenance Outreach Program It was current as of April 2013 I would like to point out that for this analysis we included only the candidate landfills because, as you know, there are about 2000 or so landfills in the country At the time, there were about 600 or so, more or less, that currently had Waste-to-Energy Project on site So these were not included in this analysis, naturally, because they already sort of have a production in place But we did include, again, only the candidate landfills because these were sort of economically viable considered by EPA, so we sort of followed suit And just as a reference again, all this information is available on the layers if you click on the question mark But EPA considers a candidate landfill as one that is accepting waste or has been closed for five years or less, has at least one million ton of waste, and does not have an operational, under-construction project And these are also designated based on actual interest or planning So I hope that answers your question I’m not sure what other landfill layers we have, but I think this is the only one Moriarty: There is the landfill power plant, and that only includes landfill sites which are currently generating power, and that’s the EPA eGRID data layer Loi: Okay So, Kristi, I think you might’ve done this earlier, but someone is asking if you could hone in on a particular county, township, or city where a feedstock is located Moriarty: Sure If you go to the bullseye – and again, I feel this is pretty hard to find We’re going to add this up to the Home area and call it Find Location I’ll just say – so I zoomed in on Washington County in Iowa I’m assuming there’s a county called Washington I don’t know I don’t know what made me think of that, and we do have the county boundaries, as well

So you can zoom in on a longitude and a latitude, a county, a state, a town It works just like Google Maps In fact, this is built in Google Maps Loi: Okay Great So I think there was a little bit of a comment here – person says, “I noticed that you didn’t have wood-fired power plants broken out in the query.” Moriarty: Oh, right Let me do a query – I did do the query just with some feedstock data layers I’ll just run an additional query so you can see ’em, and then turn on a bunch of data layers – maybe I’ll do digester gas, a bioenergy site, natural gas, and I think the Chicago area has all of these things So I’m going to do a query by region, so I click on there I’m going to draw my box kinda big, but I’m hoping to capture a lot The bigger the box, the longer it takes for the query So as you’ll see, it opens a bunch of tabs that shows the biodiesel plants and their location and their capacity For ethanol plants, it’s showing their location, their feedstock, and their capacity For digester gas, it is showing the operator and the ownership information, its location, and its nameplate capacity and its annual generation and its CO2 equivalent emissions EPA bioenergy sites gives you quite a bit of information about the site in terms of acreage and that there’s – the distance to powerlines and highways and rail, which are really important infrastructure if you’re building a bioenergy plant And then, they have the cumulative biopower resource and biorefinery; by that, they mean biofuels And these are calculated by EPA, so they might not exactly match up with ours and then the latitude and longitude And then, for the natural gas, again, this is EPA data layer, a bunch of operator and ownership information, the capacity, the generation, and the annual CO2 equivalent emissions And again, you can download all of this to Excel to save for an area Loi: Okay Great Next question here: “Do you have data on advanced biofuels production and the database, such as the cellulosic fuels or drop-in fuels?” Moriarty: What we have at this time, we don’t have production data Let me turn off all these data layers since it’s so busy What we currently have are just those integrated biorefineries, which are funded by Department of Energy’s Bioenergy Technology Office Over time, as we have more drop-in, or as we called them “renewable hydrocarbon plants,” we will add more data layers At this time, there’s very few and small, and some of those are going to be captured by the integrated biorefineries, but those minimal plants – this is probably only one or two that don’t get Department of Energy money – aren’t currently displayed But over time, as they become commercial, you’ll see them in this tool Moriarty: You can do the query, perhaps, and show them that they consider capacity of each plant – right? – _____ _____ _____ that plant Moriarty: Yeah, I’ll just do a – [Crosstalk] Moriarty: And that’ll give ’em the closest production just to get a sense of the plant capacity [Crosstalk] Moriarty: Right So ran a query on that and you can see the feedstock and the capacity, the scale as a pioneer pilot, the conversion technology, and what type of products they’re making So you can see there are some renewable hydrocarbons in here, as well as cellulosic ethanol Loi: Okay Next question – someone mentioned that they noticed in one of the tools that there might’ve been a few biodiesel plants missing Is there a way maybe to add, or is there sort of a method for how those are added into the database? Moriarty: Right We’re currently using National Biodiesel Board’s data set, but we plan on switching to the Energy Information Agency’s Monthly Review, and we think that will capture some of the ones that are missing But we are going to use a single data set, and this isn’t one of those tools, like Wikipedia, where we allow users to enter data, but you can always contact us about that, and we can

notify the Energy Information Agency to make sure that that plant is giving their information on that monthly form Loi: Okay Thank you So just a comment here – someone is giving you kudos – great resource, and they especially appreciate the inclusion of the incentives in the tools and wanted to share _____ [Crosstalk] Moriarty: Thank you We appreciate that Loi: Mm-hmm And then, I got some additional information, which we can talk afterwards about, the gentleman who was having issues with the site, and so we can follow up with you after, Timothy, and see – make sure we can fix that for you And at this time, I don’t see any new questions If anyone has any additional questions, go ahead and type them into the questions pane We’ve gone through the ones that are noted in here Female: Yeah and I will say, if anyone on this call – I’m sure you’re aware of a lot of data sets and some things that might not be included, please do send them to us, and you can either contact us through that feedback mechanism that’s in the tool that’s next to the Print button Or if you go on NREL.gov’s website and click on About, you can contact any employee There aren’t many people named Kristi or Anelia, so you won’t have any trouble finding us, but we’re always interested to know about new and different data layers or functionalities that would be useful to users and happy to hear that and also any other questions about how to use the tool We are recording this webinar It’s going to be made available on Department of Energy’s Clean Cities’ website and probably also on Department of Energy’s Bioenergy Technologies Office So you can listen again if you found it so riveting, or you can pass it along to your colleagues who may be interested in using this tool Loi: Okay Well, we have no new questions If you have nothing else, or Anelia or Kristi have nothing else, we can go ahead and wrap up to day Moriarty: Yes Loi: Does that sound good? Milbrandt: All right Well, thank you everyone for joining us As Kristi said, the recording will be made available, so stay tuned for that, and don’t hesitate to reach out to any of us with additional questions Have a great day and thank you [End of Audio]

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