Simulation Framework for Wind Energy Attributes with WAsP

Yılmaz, Ünal; Balo, Figen; Sua, Lutfu S.

doi:10.1016/j.procs.2019.09.076

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…In this section predictions of the RETScreen Wind Energy Project Model are compared with that of WASP model. The WAsP model is used as a validation of RETScreen Expert results, a deterministic model aims to identify optimal energy system designs and operation strategies using dynamic simulations of a proposed wind farm gathering a set of variables on real conditions Lund (2014), Lund and Henrik, (2017), Ringkjøb et al (2018), Connolly et al (2010), Yılmaz et al (2019). This case study was carried out using WAsP program (Wind Atlas Analysis and Application Program).…”

Section: Validation Of the Simulation Resultsmentioning

confidence: 99%

An Analysis Towards a Sustainable Energy System in Albania Highly Supported by Large Scale Integration of Wind Resources: A Case Study of Mamaj Wind Farm

Bebi¹,

Malka²,

Konomi³

et al. 2020

IJEEP

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This article presents a highly important and detailed techno-economic analysis of a grid-connected wind farm, considered as one of the most potential location in the south of Albania, part of Tepelena region, Mamaj village. The procedure of selection of the wind turbine type is performed by evaluating the maximum Capacity Factor (CF) among 15 different types of wind turbines applied using WAsP energy tool enabling the optimization of energy system while economic analysis uses a Monte Carlo simulation well designed on RETScreen Expert tool. This modeling framework can address some beneficial values and solution which can be used from policy makers in the country to better assess the penetration of renewable energy sources into a large scale by finding the exact selling price of electricity and correcting the latest decrease of bonus factor from 1.3 in 2019 to 1.2 in 2020, which should be adjusted by a factor of 1.4. To check the economic feasibility of this project, the parameter of net present value (NPV), internal rate of return (IRR) and simple payback period (SPB) are adjusted accordingly and the financial feasible investment zone is determined.

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Section: Validation Of the Simulation Resultsmentioning

confidence: 99%

An Analysis Towards a Sustainable Energy System in Albania Highly Supported by Large Scale Integration of Wind Resources: A Case Study of Mamaj Wind Farm

Bebi¹,

Malka²,

Konomi³

et al. 2020

IJEEP

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“…This interaction in the case of small distances will be negative due to less energy being generated in the exit of a wind farm. In all other applications, this interaction will have a positive value, especially when dealing with uneven terrain [27]. The empirical formulation provided by Denmark Technical University, as well as harmonised throughout the WAsP software, is described figuratively, as well as analytically, below.…”

Section: Waspmentioning

confidence: 99%

“…Here, an experimentally derived expression of the wind-speed deficit is given and a rule showing how the wind-speed deficit is affected by the influencing factors, such as an increase in the wind speed. [27]. Recognising the existing potential of Koznica, initially, the next step is related to the installation of turbines.…”

Section: Waspmentioning

confidence: 99%

Analysis of Wind Turbine Distances Using a Novel Techno-Spatial Approach in Complex Wind Farm Terrains

2022

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Among the current challenges facing the energy sector is finding environmentally friendly and high-performance forms of energy generation. One such form of energy generation is from the wind. In addition to the fluctuations that cause changes in the generated energy, another factor that significantly affects the overall efficiency of wind farms is the distance between the turbines. In that context, a distance of at least three diameters (3D) onwards is necessary to enable a stable operation. This is more difficult to implement for mountainous terrain due to the terrain configuration’s influence, the turbine units’ positioning, and the mutual influence resulting from their position in the area under consideration. This work investigates the interdependence of the terrain features, the placement of ten turbines in different scenarios, and the impact on the overall efficiency of the wind farm. The place where the wind farm is considered is in Koznica, a mountainous area near Prishtina. An analysis has been carried out for two-diameter (2D), three-diameter (3D), and five-diameter (5D) turbine blade spacing for turbines with a rated power of 3.4 MW. The study considers placement in the following forms: Arc, I, L, M, and V. The results show that for 2D distance layout, the capacity factors for Arc, I, L, M, and V placements have the values: 32.9%, 29.8%, 31.1%, 30.6%, and 37.1%. For the 3D distance, according to these scenarios, the capacity factor values are: 29.9%, 30.8%, 30.4%, 29.3%, and 35.6%. For the longest distance, 5D, the capacity factor values are: 28.9%, 29.9%, 29.4%, 27.6%, and 30.6%. The value of the capacity factor for an optimal layout; is achieved at 39.3%.

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“…Keeping aforesaid problem, many software is created by companies for wind assessment with quality resolution by means of weather towers in larger areas. WAsP is the one of the most used software created by the Danish Riso National Laboratory (DRNL) in wind energy industry for wind assessment [9] and has given good results [10]. WAsP generates errors generally less than 10% from one weather tower or station which tends to consider the fact that Wasp gives accurate results [11].…”

Section: Introductionmentioning

confidence: 99%

Wind Resource Assessment by Analyzation and Simulation in WAsP for Electricity Generation in Chiang Mai, Thailand

Khan

Taweekun

Theppaya

2022

ARFMTS

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The purpose of this study is to assess and analyse the potential wind energy in Chiang Mai, the northern province of Thailand. The calculation in this paper is based on ten-minutes interval data at 10m height recorded for three years data from 2017 to 2019 at Thai meteorological station, Thailand. Weibull model is applied to evaluate the wind distribution by utilizing wind atlas analysis and application program (WAsP). Meanwhile, the average wind speed and the average power density was recorded at 1.48 m/s and 15 W/m2. The prominent wind direction is from the south west to north east. The two potential sites showed the maximum annual energy production 1401.419 MWh and 1913.410 MWh by using Bonus 300kW Mk III wind turbine with LCOE $382.64 / MWh and $274.63 / MWh respectively. This paper suggests the suitable sites for the electricity generation in Chiang Mai. Hence, it will not only reduce the stress on conventional methods but also create awareness regarding the potential of wind energy.

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Simulation Framework for Wind Energy Attributes with WAsP

Cited by 8 publications

References 6 publications

An Analysis Towards a Sustainable Energy System in Albania Highly Supported by Large Scale Integration of Wind Resources: A Case Study of Mamaj Wind Farm

An Analysis Towards a Sustainable Energy System in Albania Highly Supported by Large Scale Integration of Wind Resources: A Case Study of Mamaj Wind Farm

Analysis of Wind Turbine Distances Using a Novel Techno-Spatial Approach in Complex Wind Farm Terrains

Wind Resource Assessment by Analyzation and Simulation in WAsP for Electricity Generation in Chiang Mai, Thailand

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