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Model of Optimization of Wind Energy Production in the Light of Legal Changes in Poland

doi: 10.3390/en13071557
The article discusses the planning of wind energy development in the West Pomeranian Region after the introduction of the Act "On investments in wind farms" as of 20 May 2016. The purpose of the article is to provide the forecast of the region’s wind energy development in 2019–2030 by taking into account current legal regulations in Poland. The article proposes an original, optimizing multi-criteria wind energy development model for the studied region, exploring various types of technologies that may appear in the system, taking into account recent legal and political changes in the field of renewable energy regulation in Poland. The results of the optimization model show that the currently passed Act "On investments in wind farms" in Poland actually stopped the development of wind energy in the region. On the other hand, in accordance with the objectives of the adopted draft of the Polish energy policy until 2040, it is expected that the share of renewable energy in electricity production will increase in 2030 in the studied region. Therefore, the paper argues that policy changes are necessary to meet the renewable energy goals of Poland.
- Politechnika Rzeszowska im. Ignacego Łukasiewicza Poland
- Lithuanian Energy Institute Lithuania
- Rzeszów University of Technology Poland
- University of Szczecin Poland
- Rzeszów University of Technology Poland
Technology, T, wind energy, sustainable energy, Polish Energy Policy Project until 2040, energy policy
Technology, T, wind energy, sustainable energy, Polish Energy Policy Project until 2040, energy policy
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
