<?xml version="1.0" encoding="UTF-8"?><doi_batch xmlns="http://www.crossref.org/grant_id/0.2.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/grant_id/0.2.0 https://gitlab.com/crossref/schema/-/raw/master/schemas/grant_id0.2.0.xsd" version="0.2.0">  <head>    <doi_batch_id>batch_auto_20260713</doi_batch_id>    <timestamp>202607131256465730</timestamp>    <depositor>      <depositor_name>BOEM ESP geoESPIS</depositor_name>      <email_address>ESPIS@boem.gov</email_address>    </depositor>    <registrant>Bureau of Ocean Energy Management</registrant>  </head>  <body>    <grant>      <project>        <project-title xml:lang="en">Wind Tunnel Experiments for Oil and Gas Platform and Drilling Rig Downwash</project-title>          <investigators>          <person role="investigator">            <alternateName>CPP Wind Engineering Consultants, Inc.</alternateName>            <affiliation>              <institution country="US">CPP Wind Engineering Consultants, Inc.</institution>            </affiliation>          </person>          </investigators>        <description xml:lang="en">Wind tunnel measurements of the downwash around actual and generic offshore platform models were completed to understand the overwater turbulent flow and dispersion around these porous elevated structures. New predictive equations for mean wind speed deficit and wake turbulence enhancement are proposed. These new equations include variation with height. The wind tunnel model included turbulent wind flow and exhaust concentration measurements. The measurements were compared with American Meteorological Society-US Environmental Protection Agency Regulatory Model (AERMOD) and improved AERMOD predictions.</description>        <award_amount currency="USD">380000</award_amount>        <funding amount="380000" currency="USD" funding-percentage="100" funding-type="contract">          <funder-name>U.S. Department of the Interior, Bureau of Ocean Energy Management, Environmental Studies Program</funder-name>          <funder-id>https://doi.org/10.13039/100012475</funder-id>        </funding>        <award-dates start-date="2020-08-14" end-date="2022-08-13"/>      </project>      <award-number>M0120C0008</award-number>      <doi_data>        <doi>10.67297/9A1E4A</doi>        <resource>https://boem.gov/awardpages/100298</resource>      </doi_data>    </grant>  </body></doi_batch>