Optimizing Smart Building Energy Consumption through Integrated Thermal and Electrical Energy Management with Demand-Side Control

Subject Areas : Multimedia Processing, Communications Systems, Intelligent Systems

Alireza Moradi ¹ , Seyyed Mohammad R. Hashemi ² , maryam faridpour ³

1 - Department of Electrical Engineering, Mahdishahr Branch, Islamic Azad University, Mahdishahr, Iran
2 - Ph.D, Department of Computer Engineering, Skill National University, Tehran, Iran
3 - MSc, Department of Computer Engineering, Skill National University, Tehran, Iran

Received: 2024-01-10 Accepted : 2024-03-03 Published : 2024-03-20

Keywords: Simultaneous Energy Management, Smart Building, YALMIP, Photovoltaic System, Boiler, CHP.,

Abstract :

Introduction: Smart buildings equipped with communication and control infrastructure offer the potential to optimize energy management, leading to increased productivity and significant cost reductions. These buildings typically consist of multiple residential units with common electrical appliances like washing machines and TVs. The energy management system must not only supply electrical needs but also provide thermal energy for heating and sanitation. Modern smart buildings often integrate various energy sources like photovoltaic systems, combined heat and power (CHP) units, boilers, alongside electrical and thermal storage devices. A key challenge in this field is the coordinated management of both thermal and electrical energy to minimize building operating costs. This paper proposes a comprehensive model for this purpose.

Method: The model's convexity allows for finding the global optimal solution using the YALMIP toolbox and mathematical solvers like CPLEX. To validate the model, a simulated smart building was created in MATLAB, where the proposed model was solved with two particle swarm algorithms and YALMIP.

Results: To validate the model, a simulated smart building was created in MATLAB, where the proposed model was solved with two particle swarm algorithms and YALMIP. The results demonstrate the superiority of YALMIP in finding the optimal solution.

Discussion: The energy management system must not only supply electrical needs but also provide thermal energy for heating and sanitation. Modern smart buildings often integrate various energy sources like photovoltaic systems, combined heat and power (CHP) units, boilers, alongside electrical and thermal storage devices. A key challenge in this field is the coordinated management of both thermal and electrical energy to minimize building operating costs. This paper proposes a comprehensive model for this purpose. The model considers flexible scheduling of electrical equipment like vacuum cleaners, along with the operation of the boiler, CHP unit, and storage devices, all aimed at minimizing energy costs. The model ensures that all photovoltaic system output is consumed within the building, and all thermal and electrical demands are met efficiently without load shedding. The model's convexity allows for finding the global optimal solution using the YALMIP toolbox and mathematical solvers like CPLEX. To validate the model, a simulated smart building was created in MATLAB, where the proposed model was solved with two particle swarm algorithms and YALMIP. The results demonstrate the superiority of YALMIP in finding the optimal solution.

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