The Islamic University of Lebanon (IUL) is actively involved in informing and supporting government policy development related to clean energy and energy-efficient technologies. As part of its commitment to sustainability and environmental responsibility, the university collaborates with local government agencies, industry experts, and other stakeholders to promote energy-efficient practices and technologies that can benefit the broader community.

IUL’s involvement in policy discussions includes offering research and expert analysis on the benefits and feasibility of transitioning to clean energy sources. The university contributes valuable data and insights gathered through its academic programs, research projects, and sustainability initiatives. These contributions help shape the discussions surrounding energy policies and the integration of renewable energy sources into national and regional frameworks.

In addition, IUL regularly engages with governmental bodies and policymakers to promote educational programs and awareness campaigns that focus on energy efficiency. Through workshops, seminars, and conferences, the university helps raise awareness of the latest advancements in energy-efficient technologies and clean energy policies, providing a platform for knowledge exchange between the academic community and government officials.

IUL’s active role in these areas underscores its commitment to environmental sustainability and its broader mission to foster positive societal change. By supporting the development and implementation of clean energy policies, the university helps drive the transition toward a greener and more sustainable future.

The university puts all its scientific capabilities at the service of society and the government. In this context, the academic staff is always ready to help, in their fields of research, to support the government to develop clean energy and energy-efficient technology policy.

Project: Cooperative intelligent transport systems: Solution for road traffic in Lebanon

Brief Description: Smart traffic congestion reduction is actually a real challenge for big cities. Machine learning algorithms can play a significant role in traffic analysis, congestion prediction, and rerouting. In this project, we propose a new prediction approach to reduce the traffic congestion problem in Beirut streets by studying a scheme for predicting traffic flow information using four machine learning techniques: Feed Forward Neural Networks (FFNN), Radial Basis Function Neural Networks (RBFNN), simple linear regression model, and polynomial linear regression model. This prediction scheme is based on the following parameters: the average waiting time at entry and exit street pairs, the days of the week, hours of movement, holidays, and the rain rate.

Project Duration: 2 years.

Energy and Climate Change (EC)

IUL has a mission to transform its campus and to do so it focuses on energy efficiency. The use of solar energy as a way to combat problems related to climate change will be the indicator for this particular area of interest. focusing on the use of low consumption appliances, energy conservation program, construction of green areas, climate change mitigation and adaptation program and policies for the use of renewable energies and reduction of greenhouse gas emissions.

Efficient Energy Appliances and Energy Saving Campaign

As the campus is newly built and is equipped in 2016, the University has put a policy to use energy efficient electric appliances (rated 5 certified for energy savings), including luminaries where LEDs are used in the whole campus (100%). This will use at least 75% less energy, and last 25 times longer, than incandescent lighting according to US Energy Saver.

Energy Saver is the U.S. Department of Energy’s (DOE) consumer resource on saving energy and using renewable energy technologies at home

Legal Practice Areas

The university puts all its scientific capabilities at the service of society and the government. In this context, the academic staff is always ready to help, in their fields of research, to support the government to develop clean energy and energy-efficient technology policy.

As the university in its mission seeks to contribute to the development of society, it contributes in many collaborative projects with the Lebanese industry under the umbrella of LIRA projects (Lebanese Industrial Research Achievements). Some of these projects aim to improve the energy efficiency and clean energy:

• Project: Smart MPPT Charge Controller for a Solar PV

Brief Description: The main purpose of this project is to design a DC/DC converter that will enable the inversion of a DC power source, supplied by Photovoltaic (PV) Cells, to a controlled DC bus that will be used to connect to a batteries bank. The system will be controlled to operate at maximum efficiency using Maximum Power Point Tracking (MPPT) algorithm and using the powerful charging algorithm for battery bank (multi-stage charge control). 

Industrial partner: EMCO Electronics

Academic year: 2017-2018

 

• Project: Self-Cleaning system for Photovoltaic (PV) Cells

Brief Description: Accumulation of dirt or particles like dust, water, sand and moss on the surface of solar photo-voltaic panel obstruct or distract light energy from reaching the solar cells. This is a major problem since the light obstruction materials pose as external resistances that reduce solar photo-voltaic performance. As one of the promising solution for the electricity problem in Lebanon, installing PV will face the problem of cleaning accumulated dust or dirt. The project realized a smart system that solves the problem of dust or dirt accumulation over the installed PV modules. The system is capable of monitoring large number of distributed PV modules, and uses artificial intelligence to avoid misusage of energy in powering the cleaning system and wasting water used in cleaning the panels. This will lead to increase the energy efficiency of the PV cells.

Industrial partner: EMCO Electronics

Academic year: 2018-2019