ALazrak

Amine Lazrak, Ph.D.

Post-Doctoral Fellow, Building Energy Systems

Expertise:

Thermal Systems
Building Energy
Data Mining
Machine Learning

Amine Lazrak is a member of the Building Energy Systems group. He specializes in thermal energy systems and application of machine learning and data mining techniques to energy efficiency in buildings.

Before Amine joined Fraunhofer CSE, he worked at Concordia University, where he collaborated with the famous Prof. Fariborz Haghighat. During his experience at Concordia University, he was responsible for developing new building data analytics methods as well as helping manage the ECES Annex 31 project of the International Energy Agency. During his PhD candidature at the French National Institute of Solar Energy (INES), Amine developed a new method to evaluate the energy performance of HVAC systems that use renewable energy sources.

In his free time Amine enjoys playing soccer and reading.

Recent Presentations and Publications

Zeifman, M., Lazrak, A., Roth, K. (2019).

Residential retrofits at scale: opportunity identification, saving estimation, and personalized messaging based on communicating thermostat data. In: Energy Efficiency. : Springer, pp. 1-13.

https://doi.org/10.1007/s12053-019-09797-9

Lazrak, A. - September 26, 2018

Smart Thermostat Data-Based Residential Buildings Remote Energy Assessments: You Are Probably Doing It Wrong! 2018 Building Performance Analysis Conference and SimBuild, Co-organized by ASHRAE and IBPSA-USA. Hilton Chicago, Chicago, IL.

Amine Lazrak will present “Smart Thermostat Data-Based Residential Buildings Remote Energy Assessments: You Are...

Zeifman, M., Lazrak, A., Roth, K. (2018).

Residential retrofits at scale: opportunity identification, saving estimation and personalized messaging based on communicating thermostat data. In: 2018 ACEEE Summer Study Proceedings. Washington D.C.: ACEEE, 12-1 to 12-13.

Annual energy savings of up to $4- 5 billion could be achieved n ationwide through basic insulation and heating system...

Ashouria, M., Haghighata, F., Fung, B., Lazrak, A., Yoshinod, H. (2018).

Development of Building Energy Saving Advisory: A Data Mining Approach. In: Energy and Buildings. 172: Elsevier, pp. 139-151.

Roth, K., Zeifman, M., Lazrak, A. - January 17, 2018

Whereat we have a Thermostat Chat: Using Communicating Thermostat Data to Remotely Identify EE Opportunities. CEE Winter Program Meeting, Consortium for Energy Efficiency (CEE). Hyatt Centric Fisherman's Wharf, San Francisco, CA.

Kurt Roth presents.

Lazrak, A., Fourmigué, J., Robin, J. (2018).

An innovative practical battery thermal management system based on phase change materials: Numerical and experimental investigations. In: Applied Thermal Engineering. 128: Elsevier, pp. 20-32.

Read More

Lazrak, A., Zeifman, M. - November 9, 2017

Estimation of Physical Buildings Parameters Using Interval Thermostat Data. 4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys 2017) , ACM. Aula Conference Centre, Delft, Netherlands.

Amine Lazrak presented.

Lazrak, A., Boudehenn, F., Bonnot, S., Fraisse, G., Leconte, A., Papillon, P., et al. (2016).

Development of a dynamic artificial neural network model of an absorption chiller and its experimental validation. In: Renewable Energy. 86, pp. 1009-1022.

Lazrak, A., Leconte, A., Cheze, A., Fraisse, G., Papillon, P., Souyri, B. (2015).

Numerical and experimental results of a novel and generic methodology for energy performance evaluation of thermal systems using renewable energies. In: Applied Energy. 158(15), pp. 142-156.