Alternative Energy Management

随着对替代能源的兴趣增加，调查变得更加主流，需要对这些能源的有效利用进行研究。红鹿学院（RDC）拥有独特的设备，可以通过数据分析研究和探索多种替代能源的管理。从2018年开始，RDC对替代能源系统进行了大量投资。2019年1月，RDC的太阳能光伏（PV）安装被项目的建设团队确定为加拿大最大的二级后太阳能安装。同样值得注意的是，RDC的校园是最大的能源微型发电网站在阿尔伯塔，由于太阳能装置和热电联产（CHP）能源生产系统。由于该机构的基础设施和替代能源的承诺，RDC是该省最大的中学后示范和研究场所。凭借近4，200个太阳能模块，1兆瓦热电联产，120万平方英尺的校园空间在编程的建筑管理系统上运行，以及从红鹿的区域电网中汲取能量和向其提供能量的能力，RDC现在能够生成大量关于能源生产和使用的数据。同样，RDC能源系统和园区的规模和范围需要不断调整生产和利用模式，以优化RDC的经济回报。实际上，RDC已经成为数据管理、各种替代能源系统的大数据集成和机器学习的活实验室。这个生活实验室还提供了在这些领域公认的学术编程的基础，利用真实的数据，案例研究，跨学科的研究和学习，以及工作综合学习。

As the interest in alternative energy increases and inquiries become more mainstream, research into the effective use of these energy sources is required. Red Deer College (RDC) is uniquely equipped to study and explore the management of multiple alternative energy sources through data analytics. RDC has invested significantly in alternative energy systems, starting in 2018. In January 2019, RDC's solar photovoltaic (PV) installation was identified by the project's build team as the largest post-secondary solar installation in Canada. Also of note is that RDC's campus is the largest energy micro-generation site in Alberta, due to both the solar installation and a combined-heat-and-power (CHP) energy production system. Because of the institution's infrastructure and the alternative energy commitment, RDC is the largest post-secondary demonstration and research site in the province. With almost 4,200 solar modules, a 1 MegaWatt CHP, 1.2 million square feet of campus space functioning on a programmed building management system, and the capacity to both draw energy from and contribute energy to Red Deer's regional power grid, RDC is now in a position to generate substantial amounts of data on energy production and usage. Similarly, the scale and scope of RDC's energy systems and campus require ongoing adjustments in production and utilization patterns to optimize the economic returns for RDC. In effect, RDC has become a living laboratory for data management, big data integration of various alternative energy systems, and machine learning. This living laboratory also provides the foundation for recognized academic programming in these areas, utilizing real data, case studies, interdisciplinary research and study, as well as work integrated learning.