Behzad Salimian Rizi

2016201720182019202020212022202320244 3 5 4 1 2 4 10 1

Mohammad Hassan ShojaeefardSchool of Mechanical Engineering, Iran University of Science and TechnologyVerified email at iust.ac.ir
Abolfazl KhalkhaliAssociate Professor, Iran University of Science and TechnologyVerified email at iust.ac.ir
Mohammad HeidarinejadAssistant Professor, Illinois Institute of TechnologyVerified email at iit.edu
Mojtaba TahaniProfessor, University of TehranVerified email at ut.ac.ir
Gregory S. PavlakAssistant Professor at The Pennsylvania State UniversityVerified email at psu.edu
Brent StephensProfessor, Illinois Institute of Technology, Chicago, IL, Built Environment Research GroupVerified email at iit.edu
Akram Syed AliIllinois Institute of TechnologyVerified email at hawk.iit.edu

PhD in Architectural Engineering

Verified email at hawk.iit.edu


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A new method to calculate centrifugal pump performance parameters for industrial oils MH Shojaeefard, B Salimian Rizi, A Khalkhali, M Tahani Journal of Applied Fluid Mechanics 8 (4), 673-681, 2015	16	2015
Multi Objective Optimization of the Centrifugal Oil Pump Impeller MH Shojaeefard, A Khalkhali, M Tahani, B Salimian Rizi Modares Mechanical Engineering 13 (11), 139-149, 2014	9	2014
Analysis of Hydronic Heating and Cooling Systems in Commercial Buildings Using CBECS Microdata BS Rizi, M Heidarinejad Journal of Architectural Engineering 28 (3), 04022016, 2022	4	2022
Energy Analysis of Steam Distribution System Using a Physics-based Model: A Campus Building Case Study B Salimian Rizi, A Syed Ali, C Riley, B Stephens, M Heidarinejad 2020 Building Performance Analysis Conference and SimBuild co-organized by …, 2020	3*	2020
Evaluating the Performance of Chiller Plant Efficiency Using Random Forest Model: A High-Rise Building Case Study B Rizi, M Heidarinejad, G Pavlak, V Cushing, W Hederman 2022 Building Performance Analysis Conference and SimBuild 10, 234-242, 2022	2	2022
Predicting uncertainty of a chiller plant power consumption using quantile random forest: A commercial building case study BS Rizi, G Pavlak, V Cushing, M Heidarinejad Energy 283, 129112, 2023	1	2023
Data-Driven Modeling for Advancing Near-Optimal Control of Water-Cooled Chillers BS Rizi Illinois Institute of Technology, 2023		2023

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