The Experts below are selected from a list of 2391 Experts worldwide ranked by ideXlab platform
Zhe Chen - One of the best experts on this subject based on the ideXlab platform.
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optimizing the layout of Onshore Wind Farms to minimize noise
Applied Energy, 2020Co-Authors: Qi Huang, Cong Chen, Mark Z Jacobson, Zhe ChenAbstract:Abstract As Wind farm numbers and areas increase worldwide, it has become increasingly important to examine the impact of Wind energy on the surrounding environment. One effect in some scenarios is noise, which depends on the type and age of the Wind turbines and the distances between them and the residential buildings. Previous research on Wind farm layout optimization has been generally aimed at achieving the minimum investment cost or maximum captured energy. This approach does not entirely align with minimizing noise. This paper focuses on an optimal layout for a Wind farm considering its noise, without sacrificing power production. By optimizing the Wind farm layout, the minimum noise is set as the basic objective, and both the wake effect and distances among Wind turbines are considered. The basic particle swarm optimization algorithm and its evolutionary version are adopted and compared for better performance of calculation cost. Two strategies are presented to address the problems in various scenarios and to demonstrate the applicability of the proposed method and its effectiveness in designing layouts that minimize noise. Compared to a reference layout, a stringent noise control strategy could reduce the noise by 11%, even if minor, and increase the power production by 3.1%. A flexible strategy could reduce the noise by 5.7% and increase the power production by 3.1%.
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Optimal power dispatch strategy of Onshore Wind Farms considering environmental impact
International Journal of Electrical Power & Energy Systems, 2020Co-Authors: Qi Huang, Cong Chen, Zhou Liu, Zhe ChenAbstract:Abstract The power dispatch strategy for Onshore Wind Farms generally focuses on maximizing the captured power or minimizing the investment cost. However, as for Onshore Wind Farms, there are some environmental impacts that need to be considered if needed. Among them, the Wind turbine (WT) noise is a fairly obvious environmental impact. Noise caused by Wind Farms may cause interference to the surrounding living environment and the power dispatch strategy should combine power production and environmental factors. Besides, the amount of electricity generated by Onshore Wind Farms is also affected by topography and power losses. In this paper, an optimal power dispatch strategy of Wind Farms with limited WTs noise impact is proposed for a better environmental performance as well as maximizing the power generation. The new method is compared with the traditional MPPT method for single WT and the improved global MPPT method for the whole Wind farm within two terrain scenarios. The case results show the feasibility and effectiveness of this novel strategy.
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cable routing optimization for offshore Wind power plants via Wind scenarios considering power loss cost model
Applied Energy, 2019Co-Authors: Guangya Yang, Cong Chen, Yuanhang Qi, Zhe ChenAbstract:Abstract Offshore Wind power plants have been considered as one of the fastest-growing types of renewable energy technologies that is superior to the Onshore Wind Farms with low impacts on habitat, better Wind condition, higher energy efficiency, etc. The cost of submarine cables takes a significant proportion of the overall capital cost for a large-scale offshore Wind farm, rendering the task of optimization of electrical infrastructure a critical role in modern Wind farm design. With the increasing capacity and offshore distance, the impact of power losses in the cables on the economic performance of the Wind farm becomes significant. Therefore, both the investment on the cables and the cost from the associated energy loss need to be considered in the optimization model. In this work, a detailed power loss cost model accounting for the wake effect’s impact on the Wind turbine output is proposed. The cable cost and the associated power losses cost are considered in the objective function. The offshore substation location, cable connection layout, and cable sectional area are optimized simultaneously while ensuring an uncrossed cable connection layout via a line segment intersection detection algorithm. Due to the non-convexity of the optimization model, an adaptive particle swarm optimization algorithm is adopted. The proposed method was validated through a case of a real offshore Wind farm, where the simulation results show that the cable connection layout formulation and sectional area selection varies significantly when different power loss model is applied. A 3.14% total cost reduction can be achieved by using the proposed method compared with the case without the power loss model.
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Optimized Placement of Onshore Wind Farms Considering Topography
Energies, 2019Co-Authors: Xiawei Wu, Weihao Hu, Qi Huang, Cong Chen, Zhe ChenAbstract:As the scale of Onshore Wind Farms are increasing, the influence of wake behavior on power production becomes increasingly significant. Wind turbines sittings in Onshore Wind Farms should take terrain into consideration including height change and slope curvature. However, optimized Wind turbine (WT) placement for Onshore Wind Farms considering both topographic amplitude and wake interaction is realistic. In this paper, an approach for optimized placement of Onshore Wind Farms considering the topography as well as the wake effect is proposed. Based on minimizing the levelized production cost (LPC), the placement of WTs was optimized considering topography and the effect of this on WTs interactions. The results indicated that the proposed method was effective for finding the optimized layout for uneven Onshore Wind Farms. The optimization method is applicable for optimized placement of Onshore Wind Farms and can be extended to different topographic conditions.
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A Novel Active Power Dispatch Method for Onshore Wind Farms to Reduce Wind Turbine Noise
2019 IEEE Power & Energy Society General Meeting (PESGM), 2019Co-Authors: Qi Huang, Cong Chen, Zhe ChenAbstract:The Maximum Power Point Tracking (MPPT) is the most common conventional control method to maximize power generation in Wind Farms. On the other hand, Wind turbines (WTs) noise is also an important concern especially for Onshore Wind Farms. In this paper, an environmentally friendly active power dispatch method is proposed to ensure the energy productivity while reducing WTs noise. The proposed method is evaluated by a typical reference Wind farm case. Simulation results demonstrate the effectiveness of the proposed method which may be used for Wind Farms operation and design.
Cong Chen - One of the best experts on this subject based on the ideXlab platform.
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optimizing the layout of Onshore Wind Farms to minimize noise
Applied Energy, 2020Co-Authors: Qi Huang, Cong Chen, Mark Z Jacobson, Zhe ChenAbstract:Abstract As Wind farm numbers and areas increase worldwide, it has become increasingly important to examine the impact of Wind energy on the surrounding environment. One effect in some scenarios is noise, which depends on the type and age of the Wind turbines and the distances between them and the residential buildings. Previous research on Wind farm layout optimization has been generally aimed at achieving the minimum investment cost or maximum captured energy. This approach does not entirely align with minimizing noise. This paper focuses on an optimal layout for a Wind farm considering its noise, without sacrificing power production. By optimizing the Wind farm layout, the minimum noise is set as the basic objective, and both the wake effect and distances among Wind turbines are considered. The basic particle swarm optimization algorithm and its evolutionary version are adopted and compared for better performance of calculation cost. Two strategies are presented to address the problems in various scenarios and to demonstrate the applicability of the proposed method and its effectiveness in designing layouts that minimize noise. Compared to a reference layout, a stringent noise control strategy could reduce the noise by 11%, even if minor, and increase the power production by 3.1%. A flexible strategy could reduce the noise by 5.7% and increase the power production by 3.1%.
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Optimal power dispatch strategy of Onshore Wind Farms considering environmental impact
International Journal of Electrical Power & Energy Systems, 2020Co-Authors: Qi Huang, Cong Chen, Zhou Liu, Zhe ChenAbstract:Abstract The power dispatch strategy for Onshore Wind Farms generally focuses on maximizing the captured power or minimizing the investment cost. However, as for Onshore Wind Farms, there are some environmental impacts that need to be considered if needed. Among them, the Wind turbine (WT) noise is a fairly obvious environmental impact. Noise caused by Wind Farms may cause interference to the surrounding living environment and the power dispatch strategy should combine power production and environmental factors. Besides, the amount of electricity generated by Onshore Wind Farms is also affected by topography and power losses. In this paper, an optimal power dispatch strategy of Wind Farms with limited WTs noise impact is proposed for a better environmental performance as well as maximizing the power generation. The new method is compared with the traditional MPPT method for single WT and the improved global MPPT method for the whole Wind farm within two terrain scenarios. The case results show the feasibility and effectiveness of this novel strategy.
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cable routing optimization for offshore Wind power plants via Wind scenarios considering power loss cost model
Applied Energy, 2019Co-Authors: Guangya Yang, Cong Chen, Yuanhang Qi, Zhe ChenAbstract:Abstract Offshore Wind power plants have been considered as one of the fastest-growing types of renewable energy technologies that is superior to the Onshore Wind Farms with low impacts on habitat, better Wind condition, higher energy efficiency, etc. The cost of submarine cables takes a significant proportion of the overall capital cost for a large-scale offshore Wind farm, rendering the task of optimization of electrical infrastructure a critical role in modern Wind farm design. With the increasing capacity and offshore distance, the impact of power losses in the cables on the economic performance of the Wind farm becomes significant. Therefore, both the investment on the cables and the cost from the associated energy loss need to be considered in the optimization model. In this work, a detailed power loss cost model accounting for the wake effect’s impact on the Wind turbine output is proposed. The cable cost and the associated power losses cost are considered in the objective function. The offshore substation location, cable connection layout, and cable sectional area are optimized simultaneously while ensuring an uncrossed cable connection layout via a line segment intersection detection algorithm. Due to the non-convexity of the optimization model, an adaptive particle swarm optimization algorithm is adopted. The proposed method was validated through a case of a real offshore Wind farm, where the simulation results show that the cable connection layout formulation and sectional area selection varies significantly when different power loss model is applied. A 3.14% total cost reduction can be achieved by using the proposed method compared with the case without the power loss model.
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Optimized Placement of Onshore Wind Farms Considering Topography
Energies, 2019Co-Authors: Xiawei Wu, Weihao Hu, Qi Huang, Cong Chen, Zhe ChenAbstract:As the scale of Onshore Wind Farms are increasing, the influence of wake behavior on power production becomes increasingly significant. Wind turbines sittings in Onshore Wind Farms should take terrain into consideration including height change and slope curvature. However, optimized Wind turbine (WT) placement for Onshore Wind Farms considering both topographic amplitude and wake interaction is realistic. In this paper, an approach for optimized placement of Onshore Wind Farms considering the topography as well as the wake effect is proposed. Based on minimizing the levelized production cost (LPC), the placement of WTs was optimized considering topography and the effect of this on WTs interactions. The results indicated that the proposed method was effective for finding the optimized layout for uneven Onshore Wind Farms. The optimization method is applicable for optimized placement of Onshore Wind Farms and can be extended to different topographic conditions.
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A Novel Active Power Dispatch Method for Onshore Wind Farms to Reduce Wind Turbine Noise
2019 IEEE Power & Energy Society General Meeting (PESGM), 2019Co-Authors: Qi Huang, Cong Chen, Zhe ChenAbstract:The Maximum Power Point Tracking (MPPT) is the most common conventional control method to maximize power generation in Wind Farms. On the other hand, Wind turbines (WTs) noise is also an important concern especially for Onshore Wind Farms. In this paper, an environmentally friendly active power dispatch method is proposed to ensure the energy productivity while reducing WTs noise. The proposed method is evaluated by a typical reference Wind farm case. Simulation results demonstrate the effectiveness of the proposed method which may be used for Wind Farms operation and design.
Qi Huang - One of the best experts on this subject based on the ideXlab platform.
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optimizing the layout of Onshore Wind Farms to minimize noise
Applied Energy, 2020Co-Authors: Qi Huang, Cong Chen, Mark Z Jacobson, Zhe ChenAbstract:Abstract As Wind farm numbers and areas increase worldwide, it has become increasingly important to examine the impact of Wind energy on the surrounding environment. One effect in some scenarios is noise, which depends on the type and age of the Wind turbines and the distances between them and the residential buildings. Previous research on Wind farm layout optimization has been generally aimed at achieving the minimum investment cost or maximum captured energy. This approach does not entirely align with minimizing noise. This paper focuses on an optimal layout for a Wind farm considering its noise, without sacrificing power production. By optimizing the Wind farm layout, the minimum noise is set as the basic objective, and both the wake effect and distances among Wind turbines are considered. The basic particle swarm optimization algorithm and its evolutionary version are adopted and compared for better performance of calculation cost. Two strategies are presented to address the problems in various scenarios and to demonstrate the applicability of the proposed method and its effectiveness in designing layouts that minimize noise. Compared to a reference layout, a stringent noise control strategy could reduce the noise by 11%, even if minor, and increase the power production by 3.1%. A flexible strategy could reduce the noise by 5.7% and increase the power production by 3.1%.
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Optimal power dispatch strategy of Onshore Wind Farms considering environmental impact
International Journal of Electrical Power & Energy Systems, 2020Co-Authors: Qi Huang, Cong Chen, Zhou Liu, Zhe ChenAbstract:Abstract The power dispatch strategy for Onshore Wind Farms generally focuses on maximizing the captured power or minimizing the investment cost. However, as for Onshore Wind Farms, there are some environmental impacts that need to be considered if needed. Among them, the Wind turbine (WT) noise is a fairly obvious environmental impact. Noise caused by Wind Farms may cause interference to the surrounding living environment and the power dispatch strategy should combine power production and environmental factors. Besides, the amount of electricity generated by Onshore Wind Farms is also affected by topography and power losses. In this paper, an optimal power dispatch strategy of Wind Farms with limited WTs noise impact is proposed for a better environmental performance as well as maximizing the power generation. The new method is compared with the traditional MPPT method for single WT and the improved global MPPT method for the whole Wind farm within two terrain scenarios. The case results show the feasibility and effectiveness of this novel strategy.
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Optimized Placement of Onshore Wind Farms Considering Topography
Energies, 2019Co-Authors: Xiawei Wu, Weihao Hu, Qi Huang, Cong Chen, Zhe ChenAbstract:As the scale of Onshore Wind Farms are increasing, the influence of wake behavior on power production becomes increasingly significant. Wind turbines sittings in Onshore Wind Farms should take terrain into consideration including height change and slope curvature. However, optimized Wind turbine (WT) placement for Onshore Wind Farms considering both topographic amplitude and wake interaction is realistic. In this paper, an approach for optimized placement of Onshore Wind Farms considering the topography as well as the wake effect is proposed. Based on minimizing the levelized production cost (LPC), the placement of WTs was optimized considering topography and the effect of this on WTs interactions. The results indicated that the proposed method was effective for finding the optimized layout for uneven Onshore Wind Farms. The optimization method is applicable for optimized placement of Onshore Wind Farms and can be extended to different topographic conditions.
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A Novel Active Power Dispatch Method for Onshore Wind Farms to Reduce Wind Turbine Noise
2019 IEEE Power & Energy Society General Meeting (PESGM), 2019Co-Authors: Qi Huang, Cong Chen, Zhe ChenAbstract:The Maximum Power Point Tracking (MPPT) is the most common conventional control method to maximize power generation in Wind Farms. On the other hand, Wind turbines (WTs) noise is also an important concern especially for Onshore Wind Farms. In this paper, an environmentally friendly active power dispatch method is proposed to ensure the energy productivity while reducing WTs noise. The proposed method is evaluated by a typical reference Wind farm case. Simulation results demonstrate the effectiveness of the proposed method which may be used for Wind Farms operation and design.
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Substation Location and Cable Connection Optimization of Onshore Wind Farms Using Minimum Spanning Tree Algorithm
2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2018Co-Authors: Junxian Li, Xiawei Wu, Weihao Hu, Qi Huang, Zhe ChenAbstract:Due to the high investment cost, high maintenance costs, and vulnerability to climate impacts of offshore Wind farm, large Onshore Wind Farms are attracting more and more attention. Nowadays, the numbers and scale of Onshore Wind Farms are increasing. For Onshore Wind Farms whose the layout of Wind turbines (WT) have been identified, optimizing cable connection can further reduce the investment cost. The cable connection layout and the substation location are determined together. Final cable connection should take the substation location into account to reduce the cable costs which occupy a large proportion in Wind farm construction cost. The construction site of Onshore Wind farm is often not on the flat ground. To get more reasonable results, a method to get the final cable connection which optimized by minimum spanning tree is proposed in this paper under the consideration of the topographic conditions. At the same time, the position of the substation is also determined. The final results show that the cable connection obtained by this method is more economical.
Cristina H Amon - One of the best experts on this subject based on the ideXlab platform.
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the impact of land use constraints in multi objective energy noise Wind farm layout optimization
Renewable Energy, 2016Co-Authors: Sami Yamani Douzi Sorkhabi, David A Romero, Gary Kai Yan, Joaquin Moran, Michael Morgenroth, Cristina H AmonAbstract:Recently the environmental impact of Onshore Wind Farms is receiving major attention from both governments and Wind farm designers. As land is more extensively exploited for Wind Farms, it is more likely for Wind turbines to be in proximity with human dwellings, infrastructure (e.g. roads, transmission lines), and natural habitats (e.g. rivers, lakes, forests). This proximity makes significant portions of land unusable for the designers, introducing a set of land-use constraints. In this study, we conduct a constrained and continuous-variable multi-objective optimization that considers energy and noise as its objective functions, based on Jensen's wake model and the ISO-9613-2 noise standard. A stochastic evolutionary algorithm (NSGA-II) solves the optimization problem, while the land-use constraints are handled with static and dynamic penalty functions. Results of this study illustrate the effect of constraint severity and spatial distribution of unusable land on the trade-off between energy generation and noise production.
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multi objective Wind farm layout optimization considering energy generation and noise propagation with nsga ii
Journal of Mechanical Design, 2014Co-Authors: Wing Yin Kwong, David A Romero, Joaquin Moran, Michael Morgenroth, Peter Yun Zhang, Cristina H AmonAbstract:Recently, the environmental impact of Wind Farms has been receiving increasing attention. As land is more extensively exploited for Onshore Wind Farms, they are more likely to be in proximity with human dwellings, increasing the likelihood of a negative health impact. Noise generation and propagation remain an important concern for Wind farm's stakeholders, as compliance with mandatory noise limits is an integral part of the permitting process. In contrast to previous work that included noise only as a design constraint, this work presents continuous-location models for layout optimization that take noise and energy as objective functions, in order to fully characterize the design and performance spaces of the Wind farm layout optimization (WFLOP) problem. Based on Jensen's wake model and ISO-9613-2 noise calculations, single- and multi-objective genetic algorithms (GAs) are used to solve the optimization problem. Results from this bi-objective optimization model illustrate the trade-off between energy generation and noise production by identifying several key parts of Pareto frontiers. In particular, it was observed that different regions of a Pareto front correspond to markedly different turbine layouts. The implications of noise regulation policy—in terms of the actual noise limit—on the design of Wind Farms are discussed, particularly in relation to the entire spectrum of design options.
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Wind farm layout optimization considering energy generation and noise propagation
Design Automation Conference, 2012Co-Authors: Wing Yin Kwong, David A Romero, Joaquin Moran, Michael Morgenroth, Peter Yun Zhang, Cristina H AmonAbstract:Wind farm design deals with the optimal placement of turbines in a Wind farm. Past studies have focused on energy-maximization, cost-minimization or revenue-maximization objectives. As land is more extensively exploited for Onshore Wind Farms, Wind Farms are more likely to be in close proximity with human dwellings. Therefore governments, developers, and landowners have to be aware of Wind Farms’ environmental impacts. After considering land constraints due to environmental features, noise generation remains the main environmental/health concern for Wind farm design. Therefore, noise generation is sometimes included in optimization models as a constraint. Here we present continuous-location models for layout optimization that take noise and energy as objective functions, in order to fully characterize the design and performance spaces of the optimal Wind farm layout problem. Based on Jensen’s wake model and ISO-9613-2 noise calculations, we used single- and multi-objective genetic algorithms (NSGA-II) to solve the optimization problem. Preliminary results from the bi-objective optimization model illustrate the trade-off between energy generation and noise production by identifying several key parts of Pareto frontiers. In addition, comparison of single-objective noise and energy optimization models show that the turbine layouts and the inter-turbine distance distributions are different when considering these objectives individually. The relevance of these results for Wind farm layout designers is explored.Copyright © 2012 by ASME
Erdogan Simsek - One of the best experts on this subject based on the ideXlab platform.
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offshore Wind power development in europe and its comparison with Onshore counterpart
Renewable & Sustainable Energy Reviews, 2011Co-Authors: Mehmet Bilgili, Abdullah Yasar, Erdogan SimsekAbstract:Wind power, as a renewable source of energy, produces no emissions and is an excellent alternative in environmental terms to conventional electricity production based on fuels such as oil, coal or natural gas. At present, the vast majority of Wind power is generated from Onshore Wind Farms. However, their growth is limited by the lack of inexpensive land near major population centers and the visual pollution caused by large Wind turbines. Comparing with Onshore Wind power, offshore Winds tend to flow at higher speeds than Onshore Winds, thus it allows turbines to produce more electricity. Estimates predict a huge increase in Wind energy development over the next 20 years. Much of this development will be offshore Wind energy. This implies that great investment will be done in offshore Wind Farms over the next decades. For this reason, offshore Wind Farms promise to become an important source of energy in the near future. In this study, history, current status, investment cost, employment, industry and installation of offshore Wind energy in Europe are investigated in detail, and also compared to its Onshore counterpart.
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offshore Wind power development in europe and its comparison with Onshore counterpart
Renewable & Sustainable Energy Reviews, 2011Co-Authors: Mehmet Bilgili, Abdulkadir Yasar, Erdogan SimsekAbstract:Wind power, as a renewable source of energy, produces no emissions and is an excellent alternative in environmental terms to conventional electricity production based on fuels such as oil, coal or natural gas. At present, the vast majority of Wind power is generated from Onshore Wind Farms. However, their growth is limited by the lack of inexpensive land near major population centers and the visual pollution caused by large Wind turbines. Comparing with Onshore Wind power, offshore Winds tend to flow at higher speeds than Onshore Winds, thus it allows turbines to produce more electricity. Estimates predict a huge increase in Wind energy development over the next 20 years. Much of this development will be offshore Wind energy. This implies that great investment will be done in offshore Wind Farms over the next decades. For this reason, offshore Wind Farms promise to become an important source of energy in the near future. In this study, history, current status, investment cost, employment, industry and installation of offshore Wind energy in Europe are investigated in detail, and also compared to its Onshore counterpart.
