In this work, we propose a two-step methodology for designing and sizing a data center solely powered by local renewable energy. The first step consists in determining the necessary IT equipment for processing a given IT workload composed of batch and service tasks. We propose an adapted binary search algorithm and prove its optimality to find the minimum number of servers to handle the IT workload. When the IT sizing is computed, the second step consists in defining the supplying electrical infrastructure using wind turbines and photovoltaic panels as primary sources. Batteries and a hydrogen system are added as secondary sources for short- and long-term energy storage, respectively. In this electrical sizing step, first a set of primary source configurations is determined using a binary search algorithm, then the secondary sources are calibrated so that levels of charge are constant during one day and one year, respectively. Experiments using real IT workload traces and actual meteorological data are conducted to illustrate the provided methodology to decision makers for choosing the best configuration for their data center.

在这项工作中，我们提出了一个分两步的方法来设计和调整仅由本地可再生能源供电的数据中心。第一步是确定必要的IT设备，以处理由批处理和服务任务组成的给定IT工作负载。我们提出了一种自适应的二进制搜索算法，并证明了其最佳性能，以找到处理IT工作量的最小服务器数量。在计算IT规模时，第二步包括使用风力涡轮机和光伏面板作为主要来源来定义供电基础设施。添加了电池和氢气系统作为分别用于短期和长期能量存储的辅助能源。在此电气尺寸调整步骤中，首先使用二进制搜索算法确定一组主要电源配置，然后对次要电源进行校准，以使充电水平分别在一天和一年内保持恒定。进行了使用实际IT工作量跟踪和实际气象数据的实验，以向决策者说明所提供的方法，以便他们为数据中心选择最佳配置。