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Reviewer Comments - EERE

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2011 Algae Platform Review – <strong>Reviewer</strong> <strong>Comments</strong><br />

<strong>Reviewer</strong> <strong>Comments</strong> are direct transcripts of commentary and material provided by the Platform’s<br />

Review Panel. They have not been edited or altered by the Biomass Program.<br />

<strong>Reviewer</strong> <strong>Comments</strong><br />

<strong>Reviewer</strong>: 1 Criteria Score: 7<br />

This project has high relevance for the OBP program<br />

<strong>Reviewer</strong>: 2 Criteria Score: 8<br />

This kind of model is very important to DoE efforts to reach affordable, sustainable production of algal<br />

biofuels in US.<br />

<strong>Reviewer</strong>: 3 Criteria Score: 4<br />

This study provides DOE and industry with the first spatially-explicit estimate of open pond microalgae<br />

production potential and resource demands for the conterminous United States. It realistically addresses<br />

critical questions of how much energy can be produced, where production can occur, and how much land<br />

and water resource will be required.<br />

<strong>Reviewer</strong>: 4 Criteria Score: 7<br />

See Overall Impressions text.<br />

<strong>Reviewer</strong>: 5 Criteria Score: 6<br />

The project is highly relevant to platform goals. However, the ultimate utility of this tool will depend on<br />

the transparency of its assumptions (and the ability to change them).<br />

<strong>Reviewer</strong>: 6 Criteria Score: 6<br />

Relevance will shoot up to 9 or 10 once they incorporate the follow-on perspective of the farmer.<br />

<strong>Reviewer</strong>: 7 Criteria Score: 4<br />

A survey that includes estimates of all major factors has great relevance. The current state of this survey<br />

has signficant omissions.<br />

Presenter Response<br />

[3.1] N/C --- [3.2] N/C --- [3.3] N/C --- [3.4] N/C --- [3.5] The Biomass Assessment Tool (BAT) webinterface<br />

allows a user to access, query, and interact with all national datasets and models produced under<br />

this project. Ultimately, the user will have control to adjust spatial filtering parameters as well as model<br />

parameters to screen existing databases for elements such as minimum suitable land area, geographic<br />

boundary, proximity to nutrient source, proximity to CO2 source, climate ranges, biomass production<br />

rates, lipid production rates, percent of national production target, and temporal ranges. The BAT is<br />

constructed such that when more current or detailed knowledge is available for particular algal strains in<br />

specific geographic domains this information can be incorporated. We have intentionally designed the<br />

BAT and the algal growth model such that we can readily incorporate more accurate information or<br />

improved models for specific algae strains, environmental conditions, and downstream lifecycle processes<br />

as they become available. For example, we are closely monitoring ongoing and planned technology<br />

development efforts by the NAABB Algal Biology and Cultivation Teams where there is a focus on<br />

increasing overall productivity of biomass accumulation and lipid/hydrocarbon content and increasing<br />

overall productivity by developing and optimizing scalable cultivation practices and growth rates under<br />

various environments. We also are interacting with PIs at PNNL, Utah State University, University of<br />

Arizona, and Texas A&M to evaluate their results, and as appropriate, incorporate them into the BAT.<br />

Finally, we are continually reviewing the algae and bioenergy literature to identify potential<br />

enhancements to BAT as appropriate. --- [3.6] We agree with the need to incorporate farmer/operator<br />

experience. This is part of current and planned future work; please see Response 1.2b. --- [3.7] The<br />

current state of our study provides a high spatial/temporal evaluation of open pond microalgae production<br />

Page 95 of 223

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