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  <front>
    <journal-meta>
      <journal-title-group><journal-title>SET Proceedings</journal-title></journal-title-group>
      <issn pub-type="epub">2978-4387</issn>
      <publisher><publisher-name>Caravel Press</publisher-name></publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.65582/set.2008.179</article-id>
      <article-id pub-id-type="publisher-id">2008.179</article-id>
      <title-group><article-title>The Numerical Simulating of Wind Energy Resources In China</article-title></title-group>
    <contrib-group>
      <contrib contrib-type="author">
        <name><surname>Zhang</surname><given-names>De</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
        <xref ref-type="aff" rid="aff2"/>
        <email>zhangde@cma.gov.cn</email>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Zhu</surname><given-names>Rong</given-names></name>
        <xref ref-type="aff" rid="aff2"/>
        <email>rongzhu@cma.gov.cn</email>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Luo</surname><given-names>Yong</given-names></name>
        <xref ref-type="aff" rid="aff2"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Yu</surname><given-names>Wei</given-names></name>
        <xref ref-type="aff" rid="aff3"/>
        <email>weiyu@ec.gc.ca</email>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Wang</surname><given-names>Chenghai</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <aff id="aff1">College of Atmospheric Science, Lanzhou University, Lanzhou, China</aff>
      <aff id="aff2">Center for Wind and Solar Energy Resources Assessment, CMA, Beijing, China</aff>
      <aff id="aff3">Recheche en Preison Numeique (RPN), Environment Canada Quebec, Canada</aff>
    </contrib-group>
      <pub-date publication-format="electronic" date-type="pub"><day>24</day><month>08</month><year>2008</year></pub-date>
      <volume>7</volume>
      <issue>1</issue>
      <isbn publication-format="electronic">978-1-995850-08-5</isbn>
      <fpage>1307</fpage>
      <lpage>1314</lpage>
      <self-uri xlink:href="https://caravelpress.com/proceedings/set/papers/2008.179"/>
      <history>
        <date date-type="received"><string-date>24 August 2008</string-date></date>
      </history>
      <permissions>
        <copyright-statement>© 2008 Copyright WSSET</copyright-statement>
        <copyright-year>2008</copyright-year>
      </permissions>
      <abstract><p>By using Canadian Wind Energy Simulating Toolkit (WEST), Chinese Wind Energy Atlas was created with a resolution of horizontally 5 km and vertically 10 m in this paper. Comparing with the observation data from 683 stations, results show that the simulation is much better at the low altitude areas in central and eastern China with a low average relative error（&lt;20%），while presents unsatisfied at the complex terrain of the high-altitude, with a high average relative error over 60%. 11 stations impacted less by human activities were chosen in further study, the relative error is approximately under 12%.Our study presents a very similar result with the Solar and Wind Energy Resource Assessment project (SWERA) taken in charged by the United States Department of Energy’s National Renewable Energy Laboratory (NREL) in Chinese Wind Energy Atlas Evaluation, only a difference of 2.4% between our research and their simulation in potential installed capacity dispersion. Thereby, WEST used in this paper shows a good ability in simulating the distribution of wind energy of China at low altitude in central and east China areas, while plays less satisfying in the western plateau. Both classification scheme and the parameter schemes in the atmosphere boundary-layer will be improved at the next step, therefore, it will suitable to assess the wind energy resources in China reasonably.</p></abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Wind resource</kwd>
        <kwd>Numerical simulation</kwd>
        <kwd>WEST</kwd>
      </kwd-group>
      <conference>
        <conf-date>24 to 27 August 2008</conf-date>
        <conf-name>7th International Conference on Sustainable Energy Technologies</conf-name>
        <conf-acronym>SET2008</conf-acronym>
        <conf-num>7</conf-num>
        <conf-loc>Seoul, Korea</conf-loc>
      </conference>
    </article-meta>
  </front>
  <body>
  </body>
  <back>
    <ref-list>
      <ref id="ref-r1">
        <mixed-citation publication-type="journal">Troen, I and Petersen, E.L. 1989, European Wind Atlas, Published by Riso National Laboratory, Roskilde. ISBN 87-550-1482-8,656pp. Denmark</mixed-citation>
      </ref>
      <ref id="ref-r2">
        <mixed-citation publication-type="journal">Brower M.C.,et al. 2001, Applications and validations of the MesoMap wind mapping system in different climatic regimes, Proc. Amer. Wind Energy Assoc., Windpower 2001. USA.</mixed-citation>
      </ref>
      <ref id="ref-r3">
        <mixed-citation publication-type="journal">Bowen, A.J. and N.G..Mortensen. 1996. Exploring the limits of WAsP: the Wind Atlas Analysis and Application Program. Proceedings of the 1996 Euripean Union Wind Energy Conference and Exhibition, Goteborg, Sweden, May 20-24,584-587. Denmark.</mixed-citation>
      </ref>
      <ref id="ref-r4">
        <mixed-citation publication-type="journal">Frey-Buness, A., D. Heimann, and R. Sausen. 1995. A statistical-dynamical downscaling procedure for global climate simulation. Thoer. Appl. Climatol. 50, 117-131. USA.</mixed-citation>
      </ref>
      <ref id="ref-r5">
        <mixed-citation publication-type="journal">W. Yu, R. Benoit, C. Girard, A. Glazer, D. Lemarquis,J. R. Salmon and J. Pinard. 2006. Wind Energy Simulation Toolkit (WEST): a wind mapping system for use by the wind-energy industry. Wind Eegineering. Vol.30, No. 1. 2006. Canada</mixed-citation>
      </ref>
      <ref id="ref-r6">
        <mixed-citation publication-type="journal">Tanguay, M., A. Robert, and R. Laprise, 1990. A semi-implicit semi-Lagrangian fully compressible regional forecast model. Mon. Wea. Rev. 118, 1970-1980. USA</mixed-citation>
      </ref>
      <ref id="ref-r7">
        <mixed-citation publication-type="journal">Thomas, S., C. Girard, R. Benoit, M. Desgagné, and P. Pellerin, 1998. A new adiabatic kernel for the MC2 model. Atmos.-Ocean, 36, 241-270. USA.</mixed-citation>
      </ref>
      <ref id="ref-r8">
        <mixed-citation publication-type="journal">Girard, C., R. Benoit and M. Desgagné., 2005. Finescale Topography and the MC2 Dynamics Kernel. Mon. Wea. Rev., Vol. 133, 6, 1463-1477. Canada.</mixed-citation>
      </ref>
      <ref id="ref-r9">
        <mixed-citation publication-type="journal">R. Benoit, D. Michel, P. Pierre, P. Simon, and C. Yves. 1997. The Canadian MC2: A Semi-Lagrangian, Semi-Implicit Wideband Atmospheric Model Suited for Finescale Process Studies and Simulation. Mon. Wea. Rev. Vol. 125, 2382-2415. Canada.</mixed-citation>
      </ref>
      <ref id="ref-r10">
        <mixed-citation publication-type="journal">The United States Department of Energy’s National Renewable Energy Laboratory 2006. China Wind Energy Resource Mapping Activity. USA.</mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
