Analysis tool to support the design of green data centers in cold Canadian climates

该项目将开发一种数学分析工具，用于计算能量和材料平衡，并预测在加拿大寒冷气候下运行的绿色数据中心、养鱼场和光生物反应器的不同拟议设计组合的资本和运营成本。通过应用工业共生，该模型将被应用于实现成本降低，通过重新利用共同的辅助服务与这三个过程的操作，具有边际经济时，单独操作。通过利用当地的可再生能源，如风能、太阳能、生物质能和冷空气，绿色数据中心将被研究作为离网运行的一种手段。以马尼托巴省南部的气候为基础，该地区冬季气温寒冷，风力容量系数高，是加拿大太阳能日照最高的地区之一，该模型将寻求自行产生其能源需求，以使绿色数据中心成为离网数据中心，并以IV级冗余水平运行。数学模型将寻求降低成本，利用计算机的废热加热鱼缸和光生物反应器;鱼废物喂养藻类;藻类饼喂养鱼类。一旦开发完成，该模型将用于确定每个过程中40%的成本降低，以提供在加拿大寒冷气候下运营绿色数据中心的竞争优势。所提出的模型是一个重要组成部分，设计一个实验规模的绿色数据中心测试设施进行功能四。

This project will develop a mathematical analysis tool to compute energy and material balances, and predict the capital and operating costs for different proposed design combination for a green data center, fish farming and photo-bioreactor operating in cold Canadian climates. By applying industrial symbiosis, the model will be applied to achieve cost reductions by reutilizing common ancillary services associated with the operation of these three processes that have marginal economics when operated individually. By utilizing local renewable energy resources like wind, solar, biomass and cold air, green data centers will be investigated as a means to operate off-grid. Taking southern Manitoba climate as a base location with its cold winter temperatures, high wind capacity factor, and one of the highest solar insolation in Canada, the model will seek to self-generate its energy requirements to qualify the green data center as off-grid and operate at a Tier IV redundancy level. The mathematical model will seek costs reduction in utilizing waste heat from computers to heat fish tanks and photo-biological reactors; fish wastes to feed algae; and algae cakes to feed fish. Once developed, the model will be used to indentify 40% costs reduction in each process to provide a competitive advantage to operate green data centers in cold Canadian climates. The proposed model is an important component for designing an experimental scaled green data center test facility undertaken by Function Four.