کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6764266 1431578 2018 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Geographical comparison between wind power, solar power and demand for the German regions and data filling concepts
ترجمه فارسی عنوان
مقایسه جغرافیایی بین قدرت باد، انرژی خورشیدی و تقاضا برای مناطق آلمانی و مفاهیم پر کردن داده
کلمات کلیدی
انرژی تجدید پذیر، توزیع جغرافیایی، خورشیدی، باد، تجزیه و تحلیل مبتنی بر داده ها، پر کردن داده های مبتنی بر مدل،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
The rising penetration of renewable energies became an important issue in the German electricity sector within the past years. In order to plan the required infrastructure for the energy distribution, a detailed knowledge about the complete geographical and temporal power generation compared to the demand is crucial. However, the available data for the renewable power generation in Germany is insufficient due to the complexity of the energy system. For this reason, a comparison between the renewable power generation and the electricity demand is presented for 95 German zip code regions based on real input data with a sample time of 15 min from renewable energy generators. For enhancing the incomplete data, different model-based data filling methods using the data of neighboured regions or additional meteorological data are introduced and compared. As a result, a number of modelling methods, based either on a heuristic model, a wind speed model or a combination of both, has been investigated, leading to similar correlation coefficients of above 80%. Finally, the obtained data set is applied for an analysis with a high spatiotemporal resolution. For three use cases the resulting optimal flow of the inter-regional power transfers is calculated.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 126, October 2018, Pages 475-484
نویسندگان
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