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      Multi-objective approach to the optimization of shape and envelope in building energy design

      , , , , ,
      Applied Energy
      Elsevier BV

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          Present and future Köppen-Geiger climate classification maps at 1-km resolution

          We present new global maps of the Köppen-Geiger climate classification at an unprecedented 1-km resolution for the present-day (1980–2016) and for projected future conditions (2071–2100) under climate change. The present-day map is derived from an ensemble of four high-resolution, topographically-corrected climatic maps. The future map is derived from an ensemble of 32 climate model projections (scenario RCP8.5), by superimposing the projected climate change anomaly on the baseline high-resolution climatic maps. For both time periods we calculate confidence levels from the ensemble spread, providing valuable indications of the reliability of the classifications. The new maps exhibit a higher classification accuracy and substantially more detail than previous maps, particularly in regions with sharp spatial or elevation gradients. We anticipate the new maps will be useful for numerous applications, including species and vegetation distribution modeling. The new maps including the associated confidence maps are freely available via www.gloh2o.org/koppen.
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            The Brundtland report: ‘Our common future’

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              Applying multi-objective genetic algorithms in green building design optimization

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                Author and article information

                Journal
                Applied Energy
                Applied Energy
                Elsevier BV
                03062619
                December 2020
                December 2020
                : 280
                : 115984
                Article
                10.1016/j.apenergy.2020.115984
                643479db-eae4-4c9b-a09b-6b914b66ef51
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

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