bat365 Homepage

MATLAB and Simulink for Building Energy Management

Perform power system analysis and energy management system design

EMS modeling, simulation, and optimization

With MATLAB^® and Simulink^®, you can design smart and efficient energy management systems (EMS) by implementing dynamic policies, incorporating real-time data, and increasing the level of automation in EMS operations. You can use MATLAB and Simulink for your EMS development workflow, from data access and modeling to optimization and deployment.

Create forecasting models on electricity demand and generation, electricity price, and weather conditions
Model, simulate, and design optimal EMS control strategies for scheduling power systems and HVAC systems operations
Generate code for supervisory controls on edge devices and deploy to embedded controllers
Deploy operations optimization software to production cloud environments

A building energy management system showing different functions of the system

Building EMS Energy Forecasting

With MATLAB and Simulink, you can perform data-driven forecasts on environmental and techno-economic factors to optimize operations of your building energy management system.

Access time-series data from files or databases
Perform data preprocessing, analysis, and visualization in MATLAB with interactive apps and workflow automations
Choose from prebuilt statistical, econometric, or machine learning and deep learning models
Train forecasting models in parallel and evaluate model performance
Directly integrate the trained energy forecasting model in Simulink for simulation with the physical system model

a dashboard showing energy forecasting for an area using machine learning and deep learning in MATLAB

Try Examples

Customer Story

Modelling European Power Supply and demand with MATLAB and Parallel Computing

Videos

Building EMS Modeling, Simulation, and Optimization

You can use MATLAB and Simulink as a design environment for electrical system modeling, EMS control design, and EMS optimization.

Create physics-based models of the building’s electrical system using Simscape Electrical™ and run performance simulations
Design control strategies, such as Model Predictive Control (MPC), for the EMS
Formulate the optimization problem and solve for optimal system configurations using Optimization Toolbox™
Simulate system-level behavior with different scenarios
Analyze the techno-economic impact of different system designs

A Simulink model showing a home energy management system with a scheduler and a plant for the electrical system

Try Examples

Residential Ground Source Heat Pump

Open in Simulink Online

Refrigeration Cycle (Air Conditioning)

Open in Simulink Online

House Heating System

Open in Simulink Online

Learn More

BuildingIQ Develops Proactive Algorithms for HVAC Energy Optimization in Large-Scale Buildings – Customer Story
EVLO Energy Storage Accelerates Development of Energy Management Systems with Model-Based Design – Customer Story
Analytics Engine and Digital Twin Reveal Buildings’ Hidden Energy Costs – Newsletter

Videos

Examples

Building EMS Validation and Deployment

You can validate your building EMS design by generating code from your system model, which lets you move quickly from desktop simulation to real-time simulation. You can deploy controls to the edge and operational management systems to the cloud.

Generate readable, efficient C/C++ code from the controller model in Simulink for deployment on an embedded processor
Generate C code for the plant for deployment on a real-time machine
Run hardware-in-the-loop (HIL) simulations to validate the building energy management strategies against the electrical system
Deploy supervisory control algorithms on edge devices
Deploy operations optimization algorithms based on MATLAB to cloud environments using MATLAB Web App Server™ and MATLAB Production Server™