Engineering Systems are a “class of systems characterized by a high degree of technical complexity, social intricacy and elaborate processes aimed at fulfilling important functions in society” (deWeck et al 2012). At their core, they integrate multiple technologies which often exhibit complex dynamics at multiple time scales. These dynamics necessitate the need for similarly complex layers of control, automation, and IT technologies so that they may reliably deliver their intended services. As such, they take on a cyber-physical quality. Furthermore, their overall size makes them pervasive in our society requiring us to optimize their economic impacts and regulate their social consequences.
Intelligent Energy Systems as Engineering Systems: Engineering systems can be carefully looked at from the perspective of energy. Their ubiquitous nature means that they must transform, transport, and consume large quantities of energy. This relationship with energy may be existential as in the case of the power grid, or it can be the primary means by which to deliver their core function. Therefore, we at the LIINES believe that the study of intelligent energy systems is the crux of achieving sustainability, resilience, and reconfigurability in engineering systems.
Mission: The Laboratory for Intelligent Integrated Networks of Engineering Systems is devoted to enhancement of sustainability, resilience, and reconfigurability in intelligent energy systems. We seek to develop an internationally recognized, locally relevant and industrially-facing program of research that engineers intelligent & integrated control, automation, and information technology systems that support the operations and planning of large scale integrated energy systems. These activities encourage and facilitate technology policy that supports the achievement of energy, water, transportation & industrial policy objectives while eliminating barriers to sustainable and resilient automated solutions.
Application Areas-Research Themes: Our laboratory is currently concerned with four classes of cyber-physical engineering systems. The cross-pollination of these activities provides insights into the sustainability, resilience, and reconfigurability of intelligent energy systems in general.
- Smart Power Grids: As a full energy value chain including power generation, power transmission & distribution and building systems.
- Energy-Water Nexus: Focusing on points of interconnection including power generation, desalination, water pumping and building systems.
- Electrified Transportation Systems: Focusing on electric vehicles as a point of interconnection.
- Industrial Energy Management: Automated approaches to energy management industrial production & service delivery.
- Intelligent Energy Systems: This research theme represents a concerted effort to generalize sustainability, resilience, and reconfigurability concepts across research themes.
Disciplinary Expertise: Our laboratory maintains disciplinary expertise in the following fields:
- Modeling of Dynamic Systems: The techno-economic modeling of dynamic systems across multiple application and energy domains.
- Graph Theory: The study of the network sciences and its measures
- Model Based Systems Engineering -- Design Methodologies for Large Complex Systems: The application of systems engineering and design methodologies for the engineering of integrated control, automation and IT solutions for physical systems.
- Control Systems Engineering: The design of robust control strategies for time-driven, event-driven, and hybrid systems.
- Operations Management & Research: The operations and planning of large scale complex networks on the basis of mathematical programming/optimization.
- Technology Policy: The support of policy objectives in energy, water, transportation and industry through the lens of technology adoption, facilitation, and standards.