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A GIS based modeling approach for calculating the electricity generation potential of building integrated photovoltaics at the town scale: A case study of Amherst, New York.

机译:一种基于GIS的建模方法,用于计算城镇规模的建筑集成光伏发电潜力:以纽约州阿默斯特市为例。

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摘要

This thesis investigates the electricity generation potential of widespread implementation of building integrated photovoltaics (BIPV) onto the roof space of buildings in Amherst, New York. The modeling of electricity generation is achieved using a multistep process that uses a digital surface model generated from LiDAR data as the input dataset for the ESRI ArcGIS Solar Analyst tool "Area Solar Radiation" to output a raster containing data on the incident insolation for each month and the entire year. Insolation data is combined with building footprint data to calculate the potential generation of each building in the study area. This output is evaluated under several scenarios and the results are evaluated in terms of electricity demand met, and greenhouse gas emissions offset. The insolation results are verified by comparison to National Renewable Energy Lab insolation data; generation results are verified with data collected from a roof mounted PV system within the study area. The model appears most accurate in cooler months with negligible snowfall. Findings suggest building integrated photovoltaics can be a strong contributor to a carbon free energy mix. The most optimistic predictions show approximately 70% of Amherst's local electricity can be supplied by building integrated photovoltaics. Even when predicted electricity generation is adjusted downward to reflect the findings of the case study, a scenario using a feed-in tariff of 40 cents per kWh still finds enough BIPV installations would be economically feasible to generate 31% of the yearly electricity demand of Amherst, New York. This suggests feed-in tariffs should be used by governments desiring increased renewable energy production.
机译:本文研究了在纽约阿默斯特市建筑物屋顶空间广泛实施建筑物集成光伏(BIPV)的发电潜力。使用多步过程实现发电建模,该过程使用从LiDAR数据生成的数字表面模型作为ESRI ArcGIS Solar Analyst工具“区域太阳辐射”的输入数据集,以输出包含每月入射日照数据的栅格和整个一年。日射数据与建筑物占地面积数据相结合,以计算研究区域中每座建筑物的潜在发电量。在几种情况下评估该输出,并根据满足的电力需求和抵消的温室气体排放评估结果。通过与国家可再生能源实验室的日照数据进行比较来验证日照结果;通过从研​​究区域内的屋顶光伏系统收集的数据来验证发电结果。该模型在降温可忽略的较凉月份中显得最准确。研究结果表明,建筑集成光伏发电可为无碳能源组合做出重要贡献。最乐观的预测表明,阿默斯特的当地电力中约有70%可通过建造集成光伏电池来提供。即使将预测的发电量下调以反映案例研究的结果,使用40美分/千瓦时的上网电价的方案仍然发现,足够的BIPV装置在经济上可行,可满足Amherst年发电量的31% , 纽约。这表明希望增加可再生能源生产的政府应使用上网电价。

著录项

  • 作者

    Goergen, Jonathan.;

  • 作者单位

    State University of New York at Buffalo.;

  • 授予单位 State University of New York at Buffalo.;
  • 学科 Geography.
  • 学位 M.S.
  • 年度 2011
  • 页码 97 p.
  • 总页数 97
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:43:59

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