Hamed Bagheri-Esfeh, Ph.D. ,

Associate Professor

Department Of Mechanical Engineering
Faculty Of Shahreza Campus

Email

h.bagheri@shr.ui.ac.ir

Address

University of Isfahan Azadi square Isfahan, Iran
Postal Code : 8174673441

2009

2025

Research activities per year

Overview

Biography

Hamed Bagheri-Esfeh is an Associate Professor in the Department of Mechanical Engineering at the University of Isfahan (Shahreza Campus). His research focuses on energy in buildings, sustainable and renewable energy technologies, and computational fluid dynamics (CFD). In his recent work, he has applied multi-objective optimization algorithms to address practical challenges in thermo-fluid and energy systems. During his PhD, he also conducted part of his research as a visiting scholar in the Physics of Fluids Group at the University of Twente, the Netherlands.

Research Interests

• Energy in buildings • Multi-objective optimization • Computational Fluid Dynamics

Memberships

Active membership in the research core dedicated to optimizing energy consumption in buildings

Professional activities

• Design of HVAC systems • Renewable energy systems • CFD

Education

Bachelor, Kashan, University [Kashan - Iran]
Master's degree, Birjand, University [Birjand - Iran]
Ph.D., Amirkabir , University of Technology [Tehran - Iran]

Teaching

Design of HVAC systems, Energy technology in buildings, Fluid mechanics, Fluid mechanics laboratory, CFD, Thermodynamics, Technical English for mechanical engineering, Water transmission systems, Numerical computations, Dynamics

Research Output

All

Article

Articles

2025

Multi-objective optimization of electrochromic windows in office buildings for different climatic conditions

( Article )

Bagheri-esfeh, H.

International Communications in Heat and Mass Transfer (07351933)

2023

Techno-economic design of a solar combisystem in a residential building

( Article )

Bagheri-esfeh, H., Dehghan M.

Journal of Building Engineering (23527102)

2022

An improved seventh-order WENO scheme with a novel smoothness indicator for flows containing discontinuity-disturbance interaction

( Article )

Saleh-Abadi M., Manshadi, M.D., Bagheri-esfeh, H.

Optik (00304026)

Multi-objective optimization of setpoint temperature of thermostats in residential buildings

( Article )

Bagheri-esfeh, H., Dehghan M.

Energy and Buildings (03787788)

Determination of the optimum setpoint temperature of thermostats in various climates is a problem in air conditioning of residential buildings. In this paper, a new method is developed to optimize the setpoint temperature of thermostats in different climates of Iran. Design variables in the optimization process are heating setpoint, cooling setpoint, thickness, and thermal conductivity of insulations in the building envelopes. The optimization goals are minimizing energy consumption and cost of insulations in addition to maximizing thermal comfort of occupants. Thus, the static payback period (SPP) and the predicted percentage dissatisfied (PPD) indices are selected as objective functions which should be minimized in the optimization process. The methods applied to attain these objectives are numerical modeling by EnergyPlus software, Grouped Method of Data Handling (GMDH) type of Artificial Neural Network (ANN), and Non-Dominated Sorting Genetic Algorithm II (NSGA-II). Therefore in this process, first, EnergyPlus is used to train the neural network. Afterward, the GMDH-type neural network is applied to derive polynomials computing the objective functions from the design variables. Then, Pareto optimal points for the objective functions are obtained through using these polynomials and NSGA-II multi-objective optimization. Finally, the optimum design point is selected for different cities. According to the results, type and thickness of insulation integrated in the building envelopes affect the static payback period and thermal comfort of occupants. For all the climates of Iran, the most appropriate insulation is XPS and the optimum heating setpoint of thermostat is 22 °C. Also, the optimum value for the cooling setpoint pertains to the type of climate, so that this value for Bandar Abbas, Yazd, Tehran, Rasht and, Tabriz is, respectively, equal to 24.5, 24.7, 25.2, 25.3, and 25.6 °C. Moreover, thermal comfort of occupants increases with thickness of insulation, except for Bandar Abbas whose PPD is almost constant. The most value of PPD reduction with insulation thickness is related to Tehran where by increasing the insulation thickness from 1 cm to 5 cm, PPD decreases up to 53%. © 2022 Elsevier B.V.

2020

Multi-objective optimisation of drag and lift coefficients of a car integrated with canards

( Article )

Bagheri-esfeh, H., Rostamzadeh-renani, M., Rostamzadeh-renani, R., Safihkani, Hamed

International Journal of Computational Fluid Dynamics (10618562)(5)