Challenges in the wind turbines location process in Central Europe – The use of spatial decision support systems
PBN-AR
Instytucja
Wydział Inżynierii Kształtowania Środowiska i Geodezji (Uniwersytet Przyrodniczy we Wrocławiu)
Informacje podstawowe
Główny język publikacji
angielski
Czasopismo
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (45pkt w roku publikacji)
ISSN
1364-0321
EISSN
Wydawca
PERGAMON-ELSEVIER SCIENCE LTD
DOI
URL
Rok publikacji
2017
Numer zeszytu
Strony od-do
425-433
Numer tomu
76
Identyfikator DOI
Liczba arkuszy
Autorzy
(liczba autorów: 3)
Pozostali autorzy
+ 1
Słowa kluczowe
angielski
Wind turbine
Spatial decision support system
Renewable energy location
Spatial econometrics
Streszczenia
Język
angielski
Treść
The implementation of a framework for climate and energy policies in Europe entails a number of development projects connected to renewable energy resources. As far as many Western countries have realized some of those investments during recent decades and have more experience in that field, most of the countries in Central Europe have to face that challenge right now. However, a rapid increase in renewable energy production in those countries can cause some dysfunctions in the investment process. National control authorities in Poland marked that the decision-making process concerning the location of wind turbines has not been carried out properly. The paper presents a review of the studies regarding the use of spatial analysis in renewable energy policy implementation and a proposition for the use of the multi-criteria spatial decision support system based on Geographical Information Systems. The presented model has a character of an open framework which allows a user to add any location parameter or factor which is possible to be represented as a metric value. The spatial character of the proposed solution exceeds only mathematical models in the way of interpretation of the results. An intuitive model supports communication with stakeholders and helps to explain the correlations between human activity and the location of power plants. The model was tested on the case study of Wrocław agglomeration area (Poland) and includes 13 location factors. The use of a multi-criteria model guaranteed a broader point of view in comparing five different scenarios of wind farms development in the decision-making process, as it combines conflicted interests groups, minimalizes subjective assessment and enables to define priorities while setting weights of factors.
Inne
System-identifier
PX-595a20a7d5de9a772e9f8ee4