Advances in environmental biotechnology and engineering 2018

Optimal power in wind farms turns to be a modern problem for investors and decision makers; onshore wind farms are subject to performance and economic and environmental constraints. The aim of this work is to define the best installed capacity (best topology) with maximum performance and profits and...

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Published inEnvironmental science and pollution research international Vol. 27; no. 23; pp. 28463 - 28468
Main Authors Gortares-Maroyoqui, Pablo, Ulloa-Mercado, Ruth Gabriela, Ríos-Vázquez, Nidia Josefina, Breton-Deval, Luz, Macarie, Hervé, Poggi-Varaldo, Hector Mario, Sastre-Conde, Isabel
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2020
Springer Nature B.V
Springer Verlag
Subjects
Algorithms
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Biotechnology
Climate change
Earth and Environmental Science
Economics
Ecotoxicology
Editorial
Environment
Environmental Chemistry
Environmental Health
Environmental impact
Environmental science
Global warming
Investment
Life Sciences
Mathematical analysis
Topology
Waste Water Technology
Water Management
Water Pollution Control
Wind
Wind farms
Wind power
Wind power generation
Environmental biotechnology
Environmental engineering
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Summary:Optimal power in wind farms turns to be a modern problem for investors and decision makers; onshore wind farms are subject to performance and economic and environmental constraints. The aim of this work is to define the best installed capacity (best topology) with maximum performance and profits and consider environmental impacts as well. In this article, we continue the work recently done on wind farm topology-finding algorithm. The proposed resolution technique is based on finding the best topology of the system that maximizes the wind farm performance (availability) under the constraints of costs and capital investments. Global warming potential of wind farm is calculated and taken into account in the results. A case study is done using data and constraints similar to those collected from wind farm constructors, managers, and maintainers. Multi-state systems (MSS), universal generating function (UGF), wind, and load charge functions are applied. An economic study was conducted to assess the wind farm investment. Net present value (NPV) and levelized cost of energy (LCOE) were calculated for best topologies found.
Bibliography:SourceType-Scholarly Journals-1
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ISSN:0944-1344
1614-7499
1614-7499
DOI:10.1007/s11356-020-09377-w