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Economic and Environmental Analysis of U.S.-Based Data Centers Containing Photovoltaic Power Generation

机译:基于美国的包含光伏发电的数据中心的经济和环境分析

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Energy consumption and greenhouse gas emissions are two major concerns for data centers. Adopting renewable energy, such as solar energy, is a potential solution to both relieve the draw by the power grid and reduce CO2 equivalent (CO2e) emissions. This study quantifies the economic and environmental aspects of data center operation, and then assesses the influence of photovoltaic (PV)-based solar energy upon these aspects. The study estimates data center upfront and operating costs, and the carbon emission factor (CEF), defined here as the carbon footprint associated with each kWh of electricity consumption, for locations in all 50 U.S. states. The study includes location-specific metrics such as electricity cost, latitude and solar irradiance. The CEF is approximated based on the electric power production portfolio associated with each state. The solar availability assigned to a state is calculated using a beam and diffuse solar irradiance model based on the hourly solar irradiance data from the NREL TMY3 database. Recommendations are provided regarding the locations and data center densities with the largest economic and environmental benefit from adding PV-based power generation.
机译:能耗和温室气体排放是数据中心的两个主要问题。采用可再生能源,例如太阳能,是缓解电网消耗和减少二氧化碳排放的潜在解决方案。 2 当量(CO 2 e)排放。这项研究量化了数据中心运营的经济和环境方面,然后评估了基于光伏(PV)的太阳能对这些方面的影响。该研究估算了美国所有50个州的数据中心的前期成本和运营成本,以及碳排放因子(CEF),在此定义为与每千瓦时电力消耗相关的碳足迹。该研究包括针对特定地点的指标,例如电费,纬度和太阳辐照度。 CEF基于与每个州相关的电力生产组合进行估算。根据NREL TMY3数据库中每小时的太阳辐照度数据,使用束和漫射太阳辐照度模型计算分配给状态的太阳辐照度。提供了有关增加基于光伏的发电所带来的最大经济和环境利益的位置和数据中心密度的建议。

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