Work

Estimation of Power Production Potential From Solar Radiation and Wind Data in the Urban Area of Prishtina

Year: 2025

Type: article

Abstract: For the estimation of power production from any energy resource, premeasuring is very important, where one will approximate the power production potential from the resource planned to be installed. Weather data are crucial if the chosen resources depend on the weather, such as wind and solar energy. In this paper, three weather stations are identified in three different areas inside the urban area of Prishtina City (Velania neighborhood, Technical Faculties, and Kalabria neighborhood), Kosovo. The paper aims to analyze the potential of solar and wind resources in these three locations and also identifying which of these two resources is more efficient when installed in any of the three areas mentioned above. For this study purpose, there are analyzed wind and solar data from the three locations for the years 2018–2020. The primary data taken for this research are wind velocity, wind direction, and solar radiation. The study includes the amount of electricity that can be supplied by installing solar and wind energy resources inside the urban area of Prishtina. Results of the study show that solar resources are much more suitable for installation in the urban area of Prishtina and produce much more power than wind resources, which might be used as a secondary source, to cover the power production needs during the night and part of the year when the amount of solar radiation is lower. Results also show that the use of these two renewable resources is very profitable on reducing pollution, specifically the CO 2 emission.

Source: International Journal of Photoenergy

DOI: 10.1155/ijph/9840977

Authors: Gazmend Krasniqi, Shpetim Lajqi, Marigona Krasniqi, Korab Krasniqi, Arton Qorri

Institutions: University of Prishtina, University for Business and Technology

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,160