We are LIINES -- The Laboratory for Intelligent Integrated Networks of Engineering Systems

LIINES Laboratory for Intelligent Integrated Networks of Engineering Systems Empowering Your Network

Mission: The Laboratory for Intelligent Integrated Networks of Engineering Systems is devoted to the enhancement of sustainability, and resilience in intelligent multi-energy engineering systems. We seek to develop an internationally recognized, locally relevant and industrially-facing program of research that engineers intelligent & integrated control, automation, and artificial intelligence systems that support the design, planning, and operations of such large scale engineering 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 solutions founded in a digital and shared economy.

Intelligent Networked Engineering System Diagram

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

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.

Energy-Water Nexus

Hydrogen-Energy-Water Nexus

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.

Tesla Charging

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 Energy Management

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.

Interdependent Smart City Infrastructures

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.

Disciplinary Expertise

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.

Funding Acknowledgements

Funding Acknowledgements LIINES

headshot of Amro Farid

Amro M. Farid

He leads the Laboratory for Intelligent Integrated Networks of Engineering Systems (LIINES) and has authored over 150 peer reviewed publications.