Details

Title: Выбор параметров ветроэлектрической станции в регионе Санкт-Петербурга на основе прогноза ветрового потока: бакалаврская работа: 08.03.01
Creators: Курбанов Исрафил Низамович
Scientific adviser: Панфилов Александр Алексеевич
Organization: Санкт-Петербургский политехнический университет Петра Великого. Инженерно-строительный институт
Imprint: Санкт-Петербург, 2016
Collection: Выпускные квалификационные работы; Общая коллекция
Subjects: остров Котлин; ВЭС; ВЭУ; прогнозирование; математическое ожидание; случайная величина; скорость ветрового потока; ветровые ресурсы; установленная мощность; выработка; монолитный фундамент; свайный фундамент; экономическая эффективность; wind turbine; offshore wind farms; wind energy source; Kotlin island; forecasting; electricity production; rated capacity; expected value
Document type: Bachelor graduation qualification work
File type: PDF
Language: Russian
Speciality code (FGOS): 08.03.01
Speciality group (FGOS): 080000 - Техника и технологии строительства
Links: http://doi.org/10.18720/SPBPU/2/v16-2824
Rights: Свободный доступ из сети Интернет (чтение)

Allowed Actions: Read You need Flash Player to read document

Group: Anonymous

Network: Internet

Annotation

The purpose of bachelors graduate qualification work is to provide the island of Kotlin with its own environmentally friendly energy source. In the present qualification work wind power potential of Kotlin island is calculated; place of construction of the wind park is chosen; standard wind turbine - Vestas V-90/1,8 MW - is defined with collection of loadings and determination of a foundation type; wind farm electricity production is calculated; the technical and economic efficiency is estimated. The effectiveness of application of the method of expected value for forecasting of wind speeds for various periods of urgency is also considered.

Document access rights

Network User group Action
FL SPbPU Local Network All Read
-> Internet All Read

Document usage statistics

stat Document access count: 139
Last 30 days: 1
Detailed usage statistics