Ahmad Esmaeilzadeh
+4740292737
About
Research
Positive Energy District, Smart Cities, Optimization, Energy Management System, Building Energy Efficiency, Climate Action Plan, Control of Hybrid Systems, and Distributed Control Systems
Publications
Fit-for-Purpose: Analysis of Occupancy Behaviour Impacts on Intelligent Control Performances in a Nearly Zero Energy Building
The purpose of this paper is to evaluate how different occupancies' conditions affect the performance of building controllers. The study focuses on a NZEB with various systems such as boilers, chillers, a BIPV, and a CCHP.
Evaluate the Effectiveness of Intelligent Control Approaches in Building Energy Performance-A Hybrid Energy Resource Case Study
This paper aims to develop multi-objective controllers to improve the environmental footprints of hybrid energy resources buildings. Accordingly, a multi-source heating system is implemented to evaluate the potential of three kinds of controllers.
How combination of control methods and renewable energies leads a large commercial building to a zero-emission zone–A case study in US
This paper aims to develop a decision-making tool to minimize large commercial buildings’ Heating, Ventilation, Air-conditioning, and Cooling (HVAC) system environmental footprints.
How Multi-Criterion Optimized Control Methods Improve Effectiveness of Multi-Zone Building Heating System Upgrading
This paper aims to develop multi-objective optimized control methods to improve the performance of retrofitting building heating systems in reducing consumed energy as well as providing comfortable temperature in a multi-zone building.
Optimization of Multi-zone Building HVAC Energy Consumption by Utilizing Fuzzy Model Based Predictive Controller
This paper aims to improve end-use energy efficiency in multi-zoned residential buildings through the application of thermal comfort-based energy optimization algorithms. We use a case study with a detailed analysis of a 4-story residential building.
Force and state estimation and control in robotic hand of Surena IV based on limited measurements
In this paper, an alternative solution is proposed for robotic hands force control by using optimal estimators and controller. This approach does not rely on high cost sensory setup for force sensors.
Improving the performance of a small-scale chp plant using fuzzy sliding mode controller
In this study, the Thermodynamic model of a small-scale CHP plant based on a recuperated micro gas turbine was developed and governing equations of the system were obtained. Then, the system components were simulated by means of MATLAB Simulink.
The comparison of some advanced control methods for energy optimization and comfort management in buildings
This study optimizes building energy with fuzzy logic, achieving <1% temperature error and cost savings in a hybrid solar-gas-electric system using solar storage via PCM and water reservoirs.
Design and experimental evaluation of model predictive control vs. intelligent methods for domestic heating systems
This study uses intelligent controls for hybrid heating, cutting costs by 50% and achieving <1% error. MPC outperforms in dynamic conditions, offering faster, accurate temperature regulation.
Implementation of intelligent methods of building energy management for economic optimization
This study applies genetic algorithms and fuzzy rules to optimize gas/solar hybrid heating systems for buildings. Results show a fuzzy control system reduces energy costs by 13% in normal and 15% in disturbed conditions.
Optimization of domestic heating system by implementing model predictive control
This study evaluates model predictive control (MPC) for optimizing hybrid solar/gas heating in buildings. MPC outperforms PID and on-off controllers, achieving faster temperature regulation while maintaining comfort range on lab tests.
Predictive control of a building hybrid heating system for energy cost reduction
This study shows MPC with economic optimization saves 50% in heating costs, while MPC without optimization and multi-objective GA balance cost and temperature regulation effectively.
The application of MPC controller on hybrid heating system
This study designs an MPC-based smart system to regulate room temperature (20°C–25°C) and minimize heating costs. Simulation of a hybrid heating system shows MPC effectively reduces operational costs.
2016
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Esmaeilzadeh, Ahmad.
(2016)
Predictive control of a building hybrid heating system for energy cost reduction.
Applied Soft Computing
Academic article
Journal publications
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Esmaeilzadeh, Ahmad.
(2016)
Predictive control of a building hybrid heating system for energy cost reduction.
Applied Soft Computing
Academic article