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Measurements and reanalysis data on wind speed and solar irradiation from energy generation perspectives at several locations in Poland
Nicolaus Copernicus Univ, Fac Earth Sci, Lwowska 1, PL-87100 Torun, Poland..ORCID iD: 0000-0002-8787-7520
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. AGH Univ Sci & Technol, Dept Engn Management, Fac Management, Gramatyka 10, PL-30001 Krakow, Poland..ORCID iD: 0000-0001-9576-7877
Goethe Univ Frankfurt, Frankfurt Inst Adv Studies, D-60438 Frankfurt, Germany..ORCID iD: 0000-0001-7291-4934
2019 (English)In: SN Applied Sciences, ISSN 2523-3963, E-ISSN 2523-3971, Vol. 1, no 8, article id 865Article in journal (Refereed) Published
Abstract [en]

Energy system research requires input data with high temporal and spatial resolution. However, the measurements performed in meteorological stations are only available for selected locations. Currently a growing number of research papers on small and large-scale power systems utilizes data coming from satellite measurements and various reanalyses. Although many authors aimed at comparing various data sources on irradiation and wind speed there is a lack of such studies, which compare both resources simultaneously at the same location. In consequence, many studies which are entirely based on satellite/reanalysis data may not be representative. In this paper 15 locations in Poland have been selected where the National Institute of Meteorology and Water Management performs continuous measurements of wind speed, temperature and global irradiation on a horizontal surface. Hourly time series were obtained for the year 2012 and 2013. The renewable resources were converted into electrical energy, considering the performance of typical PV panels and wind turbines. The findings of this study are as follows: solar radiation (CAMS and ERA5) shows a good agreement with ground measurements, for hourly values the coefficient of correlations is greater than 0.9; for individual locations the energy yield from PV system can differ by up to 9% but on average (all locations) the simulated energy yield based on satellite data is higher by less than 0.5%; simulations for wind energy showed a large variability in results with differences in capacity factors reaching 15 percentage points.

Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2019. Vol. 1, no 8, article id 865
Keywords [en]
Capacity factor, Variable renewable energy, Meteorological data, Power system simulation, ERA5, MERRA
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-58646DOI: 10.1007/s42452-019-0897-2ISI: 000475986200003Scopus ID: 2-s2.0-85082823135OAI: oai:DiVA.org:mdh-58646DiVA, id: diva2:1665895
Available from: 2022-06-08 Created: 2022-06-08 Last updated: 2023-09-13Bibliographically approved

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Jurasz, Jakob

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