Thermal, Lighting and IAQ Control System for Energy Saving and Comfort Management

The present work proposes a simulation and control framework for home and building automation, focusing on heating, ventilating, and air conditioning processes. Control systems based on different advanced control architectures and different control policies are simulated and compared, highlighting c...

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Veröffentlicht in:Processes 2023-01, Vol.11 (1), p.222
Hauptverfasser: Zanoli, Silvia Maria, Pepe, Crescenzo
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description The present work proposes a simulation and control framework for home and building automation, focusing on heating, ventilating, and air conditioning processes. Control systems based on different advanced control architectures and different control policies are simulated and compared, highlighting control performances, and energy-saving results in terms of CO2 emissions reduction. Heat, lighting, and natural ventilation phenomena were modelized through first-principles and empirical equations, obtaining a reliable and flexible simulation framework. Energy-consuming and green energy-supplying renewable sources were integrated into the framework, e.g., heat pumps, artificial lights, fresh air flow, and natural illuminance. Different control schemes are proposed, based on proportional–integral–derivative advanced control architectures and discrete event dynamic systems-based supervisors; different control specifications are included, resulting in a multi-mode control system. The specifications refer to energy savings and comfort management, while minimizing overall costs. Comfort specifications include thermal comfort, lighting comfort, and a good level of indoor air quality. Simulations on different scenarios considering various control schemes and specifications show the reliability and soundness of the simulation and control framework. The simulated control and energy performances show the potential of the proposed approach, which can provide energy-saving results greater or equal to 6 [%] (in each season) and 19 [%] (in one year) with respect to more standard approaches.
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subjects Air conditioning
Air flow
Air quality
Automation
Building automation
Building management systems
Carbon dioxide
Clean energy
Control algorithms
Control systems
Controllers
Cost control
Deep learning
Design
Discrete event systems
Dynamical systems
Emissions
Empirical equations
Energy
Energy conservation
Energy consumption
Energy efficiency
Energy management
Energy policy
First principles
Fuzzy logic
Green buildings
Heat pumps
Humidity
HVAC
Illuminance
Indoor air pollution
Indoor air quality
Lighting
Multimode control
Optimization techniques
Proportional integral derivative
Simulation
Smart houses
Software
Specifications
Supervisors
Thermal comfort
title Thermal, Lighting and IAQ Control System for Energy Saving and Comfort Management
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