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优化风电场本地化的数据池

Data pooling for the optimal localisation of wind-farms
课程网址: http://videolectures.net/dataforum2012_cabero_data_pooling/  
主讲教师: Jose María Cabero
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2012-07-16
课程语种: 英语
中文简介:
风电场的设计是一项复杂的任务,每个风力涡轮机的最佳选址是风电场生产率的最关键方面。有许多数据对确定风电场的最佳位置至关重要。其中包括一个地区的风力潜力、当地环境特征、对通信系统的潜在干扰、视觉影响、考古遗址的存在、社会经济因素等。评估上述问题的数据来自不同来源,如公共管理部门和私营公司,具有不同的方法和兴趣,以及不同格式和性质的数据。对于中小企业来说,这通常是一个障碍,它们必须考虑所有这些附带但至关重要的方面。 SOPCAWIND的主要目标是基于软件工具的开发,为中小企业创造新的服务和产品,该软件工具能够根据包含不同领域(天气、地理、环境、考古、无线电通信和社会经济)信息的大型异构数据集优化风电场的位置,这些数据将被处理、转换、验证,并为此目的进行维护。
课程简介: The design of wind farms is a complex task with the optimal siting of each wind turbine as the most critical aspect for the productivity of the farm. There are a number of data which are critical to determine the best location of a wind farm. Among them there are the wind potential of a region, local environment characteristics, potential interference on communication systems, visual impact, the existence of archaeological sites, socio‐economic factors, etc. The data to evaluate the above‐mentioned issues come from different sources such as public administrations and private companies, with different approaches and interests, and data of different formats and nature. This is usually a handicap for SMEs that have to consider all these collateral but crucial aspects. The main objective of SOPCAWIND is to create new services and products for SMEs based on the development of a software tool being able to optimise the location for a wind farm based on a large and heterogeneous set of data containing information from different fields (weather, geography, environment, archaeology, radiocommunications and socialeconomy), that will be treated, converted, validated, and maintained for this purpose.
关 键 词: 风电场; 清洁能源; 软件开发
课程来源: 视频讲座网
数据采集: 2022-07-23:zkj
最后编审: 2022-07-23:zkj
阅读次数: 27