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，以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、鱼类养殖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，该模式将被应用于通过重新利用与这三个流程的运营相关的共同辅助服务来实现成本降低，这些流程在单独运营时具有边际经济效益。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，将研究绿色数据中心作为离网运营的一种手段。该模型以马尼托巴省南部气候为基础，拥有寒冷的冬季温度、高风能系数和加拿大最高的太阳辐射之一，该模型将寻求自行产生能源需求，以符合绿色数据中心的离网条件，并以第四级冗余级别运行。该数学模型将寻求降低成本，利用计算机的废热来加热鱼缸和光生物反应堆，利用鱼类排泄物来饲养藻类，以及利用藻类蛋糕来饲养鱼类。一旦开发完成，该模型将用于确定每个流程降低40%的成本，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。提出的模型是设计功能四承担的实验性规模的绿色数据中心测试设施的重要组成部分。

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.