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A Consolidated Visualization of Wind Farm Energy Production Potential and Optimal Land Shapes under Different Land Area and Nameplate Capacity Decisions

机译:在不同土地面积下的风电场能源生产潜力和最佳陆地形状的综合可视化和铭牌容量决策

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Effective and time-efficient decision-making in the early stages of wind farm planning can lay the foundation of a successful wind energy project. Undesirable concept-to-installation delays in wind farm development is often caused by conflicting decisions from the major parties involved (e.g., developer, investors, landowners, and local communities), which in turn can be (in a major part) attributed to the lack of an upfront understanding of the trade-offs between the technical, socio-economic, and environmental-impact aspects of the wind farm for the given site. This paper proposes a consolidated visualization platform for 'wind farm planning, which could facilitate informed and co-operative decision-making by the parties involved. This visualization platform offers a GUI-based land shape chart, which provides the following information: the variation of the energy production capacity and of the corresponding required optimal land shape with different land area and nameplate capacity decisions. In order to develop this chart, a bi-objective optimization problem is formulated (using the Unrestricted Wind Farm Layout Optimization framework) to maximize the capacity factor and minimize the land usage, subject to different nameplate capacity decisions. The application of an Optimal Layout-based land usage estimate allows the wind farm layout optimization to run without pre-specifying any farm boundaries; the optimal land shape is instead determined as a post process, using convex hull and minimum bounding rectangle concept, based on the optimal arrangement of turbines. Three land shape charts are generated under three characteristic wind patterns - (ⅰ) single dominant wind direction, (ⅱ) two opposite dominant wind directions, and (ⅱ) two orthogonal dominant wind directions, all three patterns comprising the same wind speed distribution. The results indicate that the optimal land shape is highly sensitive to the variation in LAMI for small-capacity wind farms (few turbines) and to the variation in nameplate capacity for small allowed land area. For the same decided nameplate capacity and LAMI values, we observe reasonable similarity in the optimal land shapes and the maximum energy production potentials given the "single dominant direction" and the "two opposite dominant directions" wind patterns; the optimal land shapes and the maximum energy production potentials yielded by the "two orthogonal dominant directions" wind pattern is however observed to be relatively different from the other two cases.
机译:风电场规划的早期阶段有效和延时的决策可以为一个成功的风能项目奠定基础。风电场开发的不期望的概念到安装延误通常由所涉及的主要各方的决定(例如,开发商,投资者,土地所有者和当地社区)相互冲突,这反过来可以是(在主要部分)归因于此缺乏对给定网站的技术,社会经济经济和环境影响方面的权衡的推进理解。本文为“风电场规划”提出了一个综合可视化平台,这可以促进所涉及的各方的知情和合作决策。该可视化平台提供基于GUI的陆地形状图表,提供了以下信息:能量生产能力的变化以及具有不同土地面积和铭牌容量决策的相应最佳陆地形状。为了开发该图表,配制了双目标优化问题(使用不受限制的风电场布局优化框架)以最大限度地提高容量因数并最大限度地减少土地使用量,以受到不同的铭牌容量决策。应用最佳布局的土地使用估计允许风电场布局优化运行,而无需预先指定任何农业界限;替代地,最佳的陆地形状是基于涡轮机的最佳布置的凸壳和最小边界矩形概念作为柱处理。三个陆地形状图在三个特征风图案下产生 - (Ⅰ)单一主导风向,(Ⅱ)两个相反的风向,(Ⅱ)两个正交的主体方向,所有三种模式包括相同的风速分布。结果表明,最佳的陆地形状对小容量风电场(少量涡轮机)的LAMI的变化非常敏感,以及小允许陆地面积的铭牌容量的变化。对于相同的决定铭牌容量和水兰值,我们在最佳陆地形状和鉴于“单一主导方向”和“两个相反的主导方向”风图案中,观察最佳地形的合理相似性;然而,最佳的陆地形状和“两个正交显性方向”风图案产生的最大能量产生电位与其他两种情况相对不同。

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