Application Areas - Research Themes
Our laboratory is currently concerned with the sustainability and resilience of five classes of intelligent multi-energy engineering systems.
Smart Power Grids
Traditional power systems have often been built on the basis of an electrical energy value chain which consists of a relatively few centralized and actively control thermal power generation facilities serving a relatively large number of distributed passive electrical loads.
Clean energy and water are two essential resources that any society must securely deliver. Their usage raises sustainability issues and questions of nations’ resilience in face of global changes and mega-trends such as population growth, global climate change, and economic growth.
Electrified Transportation Systems
In recent years, the electrification of transport has emerged as a trend to support energy efficiency and CO2 emissions reduction targets. Relative to their internal combustion vehicle (ICV) counterparts, electric vehicles (EVs) be they trains or cars, have a greater "well-to-wheel" energy efficiency.
Industrial & Supply Chain Energy Management
The industrial usage of energy presents unique challenges. Fundamentally, it is contingent upon the products and services it delivers. In the meantime, the trend in recent decades has been towards continually evolving and more competitive marketplaces.
Smart Cities, Regions & Nations
This research theme represents a concerted effort to generalize sustainability, and resilience across research themes to interdependent smart city infrastructures. We are particularly interested in systems where two or more intelligent engineering systems are integrated together.
Our laboratory maintains disciplinary expertise in the application of modeling, simulation, data science, optimization, decision and control systems to intelligent multi-energy engineering systems. This expertise results upon:
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.
Amro M. Farid
He leads the Laboratory for Intelligent Integrated Networks of Engineering Systems (LIINES) and has authored over 150 peer reviewed publications.