Laboratory of intelligent systems and energy efficiency

Head of Laboratory: Dastan Sarbasov

Research areas:

1) Integration, Automation and Control of Renewable Energy Systems.
2) Energy Efficient Technologies for Buildings and Constructions.
3) Applications of Renewable Energy Sources and Energy Efficient Technologies for Agricultural Needs.

Description:

The Intelligent Systmes and Energy Efficiency Laboratory systematically investigates issues relevant to the production, transformation, application and storage of electrical and thermal energy. The reserachers attempt to figure out how to integrate new breakthroughs in renewables and energy-efficient technologies into a network. The laboratory works closely with professors of the NU schools and collaborates with international researchers.
- The energy efficiency research group. Energy efficiency is now recognised as the most cost-effective way to begin to address climate change and energy security concerns. The group aims to promote and conduct fundamental and applied research related to the efficient use of energy in the built environment. The key focus areas include analysis of local building codes, technical documentation and regulatory framework; studying thermal and physical properties of construction materials and building envelope; assessment of thermal comfort and internal air quality; investigations into energy use, energy behaviour and emissions associated with buildings via modeling in software; instrumental evaluation and building energy survey.
- The renewable power integration research group. Intelligent power systems use digital technologies to monitor and control the transport of electricity from all generation sources to meet the varying electricity demands of end users. The smart management of the demand side increases the flexibility in electricity consumption to enable a high penetration of variable generation into our grid system. The research group focuses on the development of the control algorithm that allows to manage real-time electricity demand in most optimised manner. At the moment ISEEL in collaboration with IMT Luca Institute for Advanced Studies (Italy) implement an MPC-based control algorithm for "smart house" prototype installed in the premises of Nazarbayev University. 

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