{"id":558853,"date":"2024-11-05T18:22:13","date_gmt":"2024-11-05T18:22:13","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/esdu-880382012\/"},"modified":"2024-11-05T18:22:13","modified_gmt":"2024-11-05T18:22:13","slug":"esdu-880382012","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/esdu\/esdu-880382012\/","title":{"rendered":"ESDU 88038:2012"},"content":{"rendered":"

\n\tESDU 88038 provides an estimation method for use when
\nmeteorological records are inadequate to provide the data directly,
\nor when they are not readily corrected for differences between the
\nterrain at the site and at the measuring station, or when a rapid
\nestimate of wind speed frequency of occurrence is required. It uses
\na theoretical approach, with some empirical factors, to relate the
\nparameters of the Fisher-Tippett Type 1 extreme value distribution
\nto the parameters of the parent Weibull cumulative distribution
\nfrom which the number of hours when the mean wind speed exceeds
\nspecified thresholds can be calculated. In practice, the extreme
\nvalue mode and dispersion parameters (or estimates) are more
\nreadily available for various regions of the world than the parent
\ndistribution data. The method may be used inversely, as illustrated
\nin ESDU 87037, to estimate extreme wind speeds from relatively
\nshort records of the parent distribution. It applies to winds from
\nany sector and to the case when all wind directions are combined. A
\nmethod is also provided to estimate the proportion of hours in a
\nyear when the wind direction is in a particular 30 degree sector.
\nGuidance is given on correction factors for changes from the
\nconditions of the basic data in terrain roughness, height and
\nsimple topography. The method has been tested against data from 50
\nUK sites and is considered to be applicable to wind climates in
\nmiddle to high latitudes. It has been tentatively extended to apply
\nto a wind climate contributed by more than one mechanism (for
\nexample, frontal depressions and thunderstorms).\n\t<\/p>\n","protected":false},"excerpt":{"rendered":"

Estimation of Hours Per Year When Mean Wind Speed Exceeds Specified Thresholds<\/b><\/p>\n\n\n\n\n
Published By<\/td>\nPublication Date<\/td>\nNumber of Pages<\/td>\n<\/tr>\n
ESDU<\/b><\/a><\/td>\n2012-02<\/td>\n22<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":558862,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[2675],"product_tag":[],"class_list":{"0":"post-558853","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-esdu","8":"first","9":"instock","10":"sold-individually","11":"shipping-taxable","12":"purchasable","13":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product\/558853","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media\/558862"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=558853"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=558853"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=558853"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}