Investigation of wind farm location planning by considering budget constraints

The growing awareness about the adverse effects of fossil fuels and the ensuing pollution has encouraged and promoted the use of renewable energies throughout the world. This in turn has encouraged governments and investors to show more interest in generation of renewable energy through construction...

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Bibliographic Details
Published in:International journal of sustainable energy 2018-09, Vol.37 (8), p.799-817
Main Authors: Lotfi, Reza, Mostafaeipour, Ali, Mardani, Nooshin, Mardani, Shadi
Format: Article
Language:English
Subjects:
Budgeting
Budgets
Construction
Fossil fuels
fuzzy linear programming
fuzzy topsis
Linear programming
location planning
Objective function
Pollution effects
Renewable energy
resource constrained
Wind farms
Wind power
Wind power generation
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Summary:The growing awareness about the adverse effects of fossil fuels and the ensuing pollution has encouraged and promoted the use of renewable energies throughout the world. This in turn has encouraged governments and investors to show more interest in generation of renewable energy through construction of facilities such as wind farms. The novelty of this research work is the budget constraints consideration for the first time in wind energy projects. This work is done for the Khorasan provinces of Iran. This study is based on regional and municipal data pertaining to the year 2016, and uses the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to deal with the uncertainty of the data. The fuzzy TOPSIS method is used to evaluate and rank the candidate cities, and the results are then used to develop a budget-constrained model by fuzzy linear programming with the Maxmin objective function. The resulting mathematical model is optimised with GAMS software. The modelling results show that in the presence of budget constraints, of 10 Khorasan cities considered as candidate locations, Afriz, Rudab, and Fadashk exhibit the best conditions for the construction of wind farms.
ISSN:1478-6451
1478-646X
DOI:10.1080/14786451.2018.1437160