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Geography and the costs of urban energy infrastructure: The case of electricity and natural gas capital investments.

机译:地理和城市能源基础设施的成本:电力和天然气资本投资的案例。

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摘要

Investments in the urban energy infrastructure for distributing electricity and natural gas are analyzed using (1) property data measuring distribution plant value at the local/tax district level, and (2) system outputs such as sectoral numbers of customers and energy sales, input prices, company-specific characteristics such as average wages and load factor. Socio-economic and site-specific urban and geographic variables, however, often been neglected in past studies. The purpose of this research is to incorporate these site-specific characteristics of electricity and natural gas distribution into investment cost model estimations. These local characteristics include (1) socio-economic variables, such as income and wealth; (2) urban-related variables, such as density, land-use, street pattern, housing pattern; (3) geographic and environmental variables, such as soil, topography, and weather, and (4) company-specific characteristics such as average wages, and load factor. The classical output variables include residential and commercial-industrial customers and sales.;In contrast to most previous research, only capital investments at the local level are considered. In addition to aggregate cost modeling, the analysis focuses on the investment costs for the system components: overhead conductors, underground conductors, conduits, poles, transformers, services, street lighting, and station equipment for electricity distribution; and mains, services, regular and industrial measurement and regulation stations for natural gas distribution. The Box-Cox, log-log and additive models are compared to determine the best fitting cost functions. The Box-Cox form turns out to be superior to the other forms at the aggregate level and for network components. However, a linear additive form provides a better fit for end-user related components. The results show that, in addition to output variables and company-specific variables, various site-specific variables are statistically significant at the aggregate and disaggregate levels.;Local electricity and natural gas distribution networks are characterized by a natural monopoly cost structure and economies of scale and density. The results provide evidence for the economies of scale and density for the aggregate electricity and natural gas distribution systems. However, distribution components have varying economic characteristics. The backbones of the networks (overhead conductors for electricity, and mains for natural gas) display economies of scale and density, but services in both systems and street lighting display diseconomies of scale and diseconomies of density.;Finally multi-utility network cost analyses are presented for aggregate and disaggregate electricity and natural gas capital investments. Economies of scope analyses investigate whether providing electricity and natural gas jointly is economically advantageous, as compared to providing these products separately. Significant economies of scope are observed for both the total network and the underground capital investments.
机译:使用以下方法分析城市能源基础设施中用于分配电力和天然气的投资:(1)测量本地/税收区一级分配工厂价值的属性数据,以及(2)系统输出,例如客户的部门数量和能源销售,投入价格,公司特定的特征,例如平均工资和负荷系数。但是,过去的研究常常忽略了社会经济和特定地点的城市和地理变量。这项研究的目的是将这些特定地点的电力和天然气分配特征纳入投资成本模型估算中。这些局部特征包括:(1)社会经济变量,例如收入和财富; (2)与城市有关的变量,例如密度,土地利用,街道格局,住房格局; (3)地理和环境变量,例如土壤,地形和天气,以及(4)公司特定的特征,例如平均工资和负荷系数。经典的输出变量包括住宅和商业工业客户以及销售。与大多数以前的研究相比,只考虑了地方一级的资本投资。除了总成本建模外,分析还着重于系统组件的投资成本:架空导体,地下导体,管道,电线杆,变压器,服务,街道照明和用于配电的电站设备;以及天然气分配的主,服务,常规和工业测量与调节站。比较Box-Cox模型,对数对数模型和加性模型以确定最佳拟合成本函数。在聚合级别和网络组件方面,Box-Cox表单要优于其他表单。但是,线性添加剂形式可以更好地适合最终用户相关的组件。结果表明,除了产出变量和公司特定变量外,各种场所特定变量在总体和分解水平上都具有统计学意义。;地方电力和天然气分销网络的特征是自然垄断成本结构和经济规模和密度。结果为总的电力和天然气分配系统的规模经济和密度提供了证据。但是,分配要素具有不同的经济特征。网络的骨干网(用于电力的架空导线和用于天然气的干线)显示规模经济和密度,但是系统和街道照明中的服务都显示规模经济和密度不经济。最后,多用途网络成本分析是介绍用于总计和分类的电力和天然气资本投资。范围经济分析调查了与单独提供这些产品相比,联合提供电力和天然气在经济上是否具有优势。整个网络和地下资本投资都可观的范围经济。

著录项

  • 作者

    Senyel, Muzeyyen Anil.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Urban planning.;Environmental economics.;Energy.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 294 p.
  • 总页数 294
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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