Abstract
This paper analyzes the effect of meteorological variables such as solar irradiance and ambient temperature in addition to cultural factors such as consumer behavior levels on energy consumption in buildings. Reducing demand peaks to achieve a stable daily load and hence lowering electricity bills is the goal of this work. Renewable generation sources, including wind and Photovoltaics systems (PV) as well as battery storage are integrated to supply the managed home load. The simulation model was conducted using Matlab R2019b on a personal laptop with an Intel Core i7 with 16 GB memory. The model considered two seasonal scenarios (summer and winter) to account for the variable available energy sources and end-user electric demand which is classified into three demand periods, peak-demand, mid-demand, and low-demand, to evaluate the modeled supplydemand management strategy. The obtained results showed that the surrounding temperature and the number of family members significantly impact the rate of electricity consumption. The study was designed to optimize and manage electricity consumption in a building fed by a standalone hybrid energy system.
| Original language | English |
|---|---|
| Pages (from-to) | 801-830 |
| Number of pages | 30 |
| Journal | AIMS Energy |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
Bibliographical note
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Keywords
- energy consumption modeling
- home appliances modeling
- home energy management
- hybrid system
- smart loads
