Work

Modelling and management of flexible residential building components using system based heuristic approaches

Year: 2024

Type: article

Abstract: The building energy management system (BEMS) components, that is, the heating, ventilation, and air conditioning (HVAC) systems, refrigerators, and lighting significantly impact energy consumption. This paper presents the modelling, including HVAC and refrigerator with interior heat and external illuminus of lighting for residential buildings. The energy consumption of these components has been examined using eight meta‐heuristic algorithms with weather conditions of five cities in India. The statistical and box‐plot analysis results recommended the original artificial ecosystem algorithm compared to others for energy management. The results of the proposed smart residential building have been compared with the published model results of a residential building with and without BEMS and an economic analysis has also been carried out. The simulation results show that the maximum load has been shifted to off‐peak durations. The energy savings in the proposed BEMS compared to existing BEMS and without BEMS are 34% and 57%, respectively.

Source: IET Smart Grid

DOI: 10.1049/stg2.12194

Authors: Srinivas Yelisetti, Vikash Kumar Saini, Rajesh Kumar, Ehsan Heydarian‐Forushani, Ameena S. Al Sumaiti

Institutions: Malaviya National Institute of Technology Jaipur, Khalifa University of Science and Technology, University of Johannesburg, Qom University of Technology

Language: English

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Sustainable cities and communities, Climate action

Open Access status: gold

Estimated APC paid: $2,340