Multi-Objective Energy-Noise Wind Farm Layout Optimization Under Land Use Constraints

Sorkhabi, Sami Yamani Douzi; Romero, David A.; Yan, Guoying; Gu, Michelle Dao; Moran, Joaquin E.; Morgenroth, Michael; Amón, Cristina H.

doi:10.1115/imece2014-37063

Cited by 2 publications

(1 citation statement)

References 43 publications

(64 reference statements)

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“…Due to the more extensive exploitation of land for wind farms and land scarcity, an increasing number of WTs have been recently increasingly planned and constructed in or close to natural habitats such as shrub-and woodlands [16,30,59,126,134] where WT installation has become technically and economically feasible.…”

Section: Forestsmentioning

confidence: 99%

Global Review on Environmental Impacts of Onshore Wind Energy in the Field of Tension between Human Societies and Natural Systems

Sander,

Jung,

Schindler

2024

Energies

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Deploying onshore wind energy as a cornerstone of future global energy systems challenges societies and decision-makers worldwide. Expanding wind energy should contribute to a more sustainable electricity generation without harnessing humans and their environment. Opponents often highlight the negative environmental impacts of wind energy to impede its expansion. This study reviews 152 studies to synthesize, summarize, and discuss critically the current knowledge, research gaps, and mitigation strategies on the environmental impacts of onshore wind energy. The investigated effects comprise impacts on the abiotic and biotic environment, with birds and bats in particular, noise and visual impacts. Effects are discussed in the context of social acceptance, other energy technologies, and wind energy expansion in forests. This review illustrates that many effects are highly case-specific and must be more generalizable. Studies are biased regarding the research focus and areas, needing more standardized research methods and long-term measurements. Most studies focus on the direct mortality of birds and bats at wind farms and are concentrated in Europe and North America. Knowledge gaps persist for many impact categories, and the efficacy of mitigation strategies has yet to be proven. More targeted, unbiased research is required that allows for an objective evaluation of the environmental impacts of wind energy and strategies to mitigate them. Impacts, such as those on biodiversity, need to be addressed in the context of other anthropogenic influences and the benefits of wind energy. This forms the basis for a socially acceptable, efficient, and sustainable expansion of wind energy.

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Section: Forestsmentioning

confidence: 99%

Global Review on Environmental Impacts of Onshore Wind Energy in the Field of Tension between Human Societies and Natural Systems

Sander,

Jung,

Schindler

2024

Energies

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Constrained Multi-Objective Wind Farm Layout Optimization: Introducing a Novel Constraint Handling Approach Based on Constraint Programming

Sorkhabi

Romero

Beck

et al. 2015

Volume 2A: 41st Design Automation Conference

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Recently, land has been exploited extensively for onshore wind farms and turbines are frequently located in proximity to human dwellings, natural habitats, and infrastructure. This proximity has made land use constraints and noise generation and propagation matters of increasing concern for all stakeholders. Hence, wind farm layout optimization approaches should be able to consider and address these concerns. In this study, we perform a constrained multi-objective wind farm layout optimization considering energy and noise as objective functions, and considering land use constraints arising from landowner participation, environmental setbacks and proximity to existing infrastructure. The optimization problem is solved with the NSGA-II algorithm, a multi-objective, continuous variable Genetic Algorithm. A novel hybrid constraint handling tool that uses penalty functions together with Constraint Programming algorithms is introduced. This constraint handling tool performs a combination of local and global searches to find feasible solutions. After verifying the performance of the proposed constraint handling approach with a suite of test functions, it is used together with NSGA-II to optimize a set of wind farm layout optimization test cases with different number of turbines and under different levels of land availability (constraint severity). The optimization results illustrate the potential of the new constraint handling approach to outperform existing constraint handling approaches, leading to better solutions with fewer evaluations of the objective functions and constraints.

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Multi-Objective Energy-Noise Wind Farm Layout Optimization Under Land Use Constraints

Cited by 2 publications

References 43 publications

Global Review on Environmental Impacts of Onshore Wind Energy in the Field of Tension between Human Societies and Natural Systems

Global Review on Environmental Impacts of Onshore Wind Energy in the Field of Tension between Human Societies and Natural Systems

Constrained Multi-Objective Wind Farm Layout Optimization: Introducing a Novel Constraint Handling Approach Based on Constraint Programming

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