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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">alternative</journal-id><journal-title-group><journal-title xml:lang="ru">Альтернативная энергетика и экология (ISJAEE)</journal-title><trans-title-group xml:lang="en"><trans-title>Alternative Energy and Ecology (ISJAEE)</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1608-8298</issn><publisher><publisher-name>Международный издательский дом научной периодики "Спейс</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">alternative-495</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ВЕТРОЭНЕРГЕТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Wind Energy</subject></subj-group></article-categories><title-group><article-title>МЕТОДИКА ОЦЕНКИ РЕСУРСОВ ВИЭ ВЕНЕСУЭЛЫ</article-title><trans-title-group xml:lang="en"><trans-title>METHODOLOGY OF ASSESSMENT OF RENEWABLE ENERGY RESOURCES IN VENEZUELA</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Контрерас</surname><given-names>Марисабель Виельма</given-names></name><name name-style="western" xml:lang="en"><surname>Contreras</surname><given-names>Vielma Marisabel</given-names></name></name-alternatives><email xlink:type="simple">marisa.vielma@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Санкт-Петербургский Государственный Политехнический университет НОЦ «Возобновляемые виды энергии и установки на их основе»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Saint-Petersburg State Polytechnic University Science and Educational Center «Renewable Energy Sources»</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2014</year></pub-date><pub-date pub-type="epub"><day>23</day><month>06</month><year>2016</year></pub-date><issue>11</issue><fpage>56</fpage><lpage>61</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Международный издательский дом научной периодики "Спейс, 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Международный издательский дом научной периодики "Спейс</copyright-holder><copyright-holder xml:lang="en">Международный издательский дом научной периодики "Спейс</copyright-holder><license xlink:href="https://www.isjaee.com/jour/about/submissions#copyrightNotice" xlink:type="simple"><license-p>https://www.isjaee.com/jour/about/submissions#copyrightNotice</license-p></license></permissions><self-uri xlink:href="https://www.isjaee.com/jour/article/view/495">https://www.isjaee.com/jour/article/view/495</self-uri><abstract><p>Оценивается количество солнечного излучения исходя из географических и спутниковых данных. Эти данные НАСА получало из 340 точек в течении 20 лет. Данная методика позволяет рассчитать распределение солнечной радиации в Венесуэле при помощи процесса интерполяции с использованием программного обеспечения QGIS. При построении методика использует несколько баз данных, сравнение которых позволяет определить разницу между излучением радиации в том или ином районе. Данные по излучению, полученные путем интерполяции, были подтверждены данными, полученными с поверхности земли с годовой погрешностью менее 10%. Наиболее существенные различия между исследуемыми базами данных были выявлены в горных районах, некоторых прибрежных зонах, а так же в областях, где моделирование солнечного излучения не может гарантировать надежного результата в силу недостаточной точности и качества исходных данных.</p></abstract><trans-abstract xml:lang="en"><p>In this article the amount of solar radiation is evaluated from satellite imagery and geographic data. These data are received by NASA of 340 points for 20 years. This method allows calculating the distribution of solar radiation in Venezuela using the interpolation process with software QGIS. When building, the technique uses multiple databases, comparison of that allows determining the difference between radiation emission in a given area. Data from the radiation received by the interpolation were confirmed by data obtained from the surface with an annual error less than 10%. The most significant differences between the studied databases were found in mountainous areas, some coastal areas, as well as in areas, where the modeling of solar radiation can not guarantee the reliability of the results due to lack of accuracy and quality of the data.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>излучение на поверхности земли</kwd><kwd>солнечные ресурсы</kwd><kwd>методика оценки солнечной энергии</kwd><kwd>карта потенциала</kwd><kwd>insolation for horizontal surfaces</kwd><kwd>solar resources</kwd><kwd>methodology of assessment of solar energy and data sources</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Елистратов В.В., Аронова Е.С. Солнечные энергоустановки: учебное пособие. СПб.: Изд-во Политехн. ун-та, 2012.</mixed-citation><mixed-citation xml:lang="en">Елистратов В.В., Аронова Е.С. Солнечные энергоустановки: учебное пособие. 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