发表机构
Texas Tech University（德州理工大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出以可持续性为核心的控制协同设计（CCD）框架，将其应用于微电网驱动型数据中心，可优化工厂与控制器参数，显著提升环境可持续性。
AI 中文摘要
本研究针对可持续性优化问题，探究物理工厂特性与控制器参数的协同优化方法。环境可持续性与能源系统的开发及运行密切相关，数据中心是典型的现代案例。数据中心及其供电的电网技术消耗了全球大量能源，存在加剧温室气体（GHG）排放和电子废物产生的风险。解决这些问题需要改进工厂设计与控制策略，通常采用基于优化的方法。然而，数据中心与微电网设计领域存在明显缺口：一是很少研究工厂与控制器特性的同步优化，二是未充分强调可持续性标准。本研究通过建立通用的、以可持续性为核心的控制协同设计（CCD）框架，填补上述缺口。该框架将可持续性指标定义并划分为制造、运行、处置三个生命周期阶段，支持对不同设计方案的指标进行优化与对比分析。为验证其适用性，将CCD框架应用于微电网驱动型数据中心系统，得到一系列与工厂及控制器参数相关的可持续性指标。该框架分析揭示了微电网与数据中心CCD的相关规律，例如组件制造产生的等效GHG排放可能远超系统运行阶段的排放量。与基线方法得到的设计相比，本框架确定的系统设计在环境可持续性类别上有显著提升。
英文摘要
This work studies the optimization of physical plant characteristics and controller parameters for sustainability. Environmental sustainability is strongly correlated with the development and operation of energy systems, with data centers as the preeminent modern example. Data centers, and the grid technologies that provide their power, consume nonnegligible amounts of global energy and pose a risk to increase greenhouse gas (GHG) emissions and electronic waste. Addressing such issues requires improved plant design and control strategies, often approached through optimization-based methods. However, there are noticeable gaps regarding data center and microgrid design: (i) simultaneous optimization of plant and controller features is rarely explored, and (ii) sustainability criteria are not emphasized. This work addresses these gaps by establishing a generalized, sustainability-centric control co-design (CCD) framework for energy systems. Uniquely, the CCD framework defines and categorizes sustainability metrics into three lifecycle stages - manufacturing, operation, and disposal - supporting optimization and comparative analysis of the metrics for different design options. To exemplify its use, the CCD framework is applied to a microgrid-driven data center system, providing a family of sustainability metrics correlated to plant and controller parameters. The analysis enabled by the framework provides insights into the CCD of microgrids and data centers, such as that GHG-equivalent emissions from manufacturing of components can dwarf those generated during operation of the system. The system designs identified by the proposed framework show substantial improvements to environmental sustainability categories as compared to designs identified through baseline procedures.
