Operation of the Appliances Based-Demand Response Modeling in Smart Buildings
Year: 2024
Type: article
Abstract: At present, global energy consumption and emissions are largely dominated by non-renewable resources, particularly fossil fuels. As a result, there is a growing focus on investing in and researching alternative energy sources across various sectors, including residential buildings. Effective energy management in these structures can track real-time energy demand and appliance usage, leading to reduced energy bills and enhanced overall efficiency. This research examined the efficient functioning of appliances within smart homes, emphasizing the role of demand response (DR) in energy management for electrical grids. The efficient operation of these appliances is modeled based on household usage patterns, the capacity for demand flexibility in demand-side management (DSM), and energy pricing. The operation of the appliances is managed through a two-tier energy optimization process. In the first tier, energy usage is adjusted through DR and load shifting. The second tier focuses on reducing both consumption costs and consumer discomfort, taking into account the optimized energy usage established in the first tier. Finally, the efficiency of the two-layer energy optimization is confirmed by testing the proposed case studies in the numerical simulation.
Authors: Yabing Li, Shaojie Zhang, Huili Guo, Yanli Zhou
Institution: Luohe Food Engineering Vocational University
Language: English
Topic: Smart Grid Energy Management
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6963861565