Cost Effective Intelligent Building Energy Management System

What is energy management system based on?

The energy management system used is based on a forecast model of a hybrid PV/ gravity energy storage system. The forecast model considers the prediction of weather conditions, PV system production, and gravity energy storage state of charge in order to cover the load profiles scheduled over one week.

What is a smart home energy management system (Shems)?

Conclusions The integration of a smart home energy management system (SHEMS) within the smart grid domain is crucial for achieving efficient electricity usage and facilitating demand response.

Which energy management system is best for a smart house?

According to a review of relevant literature, the most used energy management system models for a smart house give light to a home with renewable energy integration, usually solar PV coupled with batteries as an energy storage device with or without forecast.

Can a hybrid PV/GES system be integrated into a Smart House Energy Management System?

This study contributes a novel one-week dynamic forecasting model for a hybrid PV/GES system integrated into a smart house energy management system, encompassing dynamic electricity pricing, smart appliance control, PV generation forecasting, and gravity energy storage state of charge prediction.

What is a Shems system?

SHEMS is an essential system that aims to achieve a successful demand response. It combines power generation, consumption, and energy storage devices into a single management and control system [ 15 ]. SHEMS can increase the efficiency of residential renewable energy and help clients save money on their electricity bills.

What is a GES energy storage system?

GES concept is similar to that of a pumped hydro energy storage system (PHES). This latter is considered as one of the most mature and reliable energy storage systems, especially due to its long lifetime compared to other energy storage systems. Several studies addressed the operation, development, and optimization of GES.