Artificial Intelligence-Assisted Energy and Thermal Comfort Control for Sustainable Buildings: An Extended Representation of the Systematic Review

06/22/2020
by   Ghezlane Halhoul Merabet, et al.
0

Discussion of the environmental impact of buildings has been gaining weight in the agendas of a number of cities and countries around the world. Indeed, approximately 38 in the world is correlated to the use and occupation of buildings. In this regard, the building sector was identified as a leading contributor to global production of CO2 in the fifth report produced by the International Panel of Climate Change (IPCC). However, the same report also has identified this sector as the one with the greatest potential for reducing CO2 emissions through design opportunities, technological advances, and user behavior. Nowadays, research has been directed towards more advanced control structures that take multiple inputs (temperature, humidity, comfort sensation, etc.) and uses artificial intelligence (AI) techniques for heating, ventilation, and air-conditioning (HVAC) control, design, management, optimization, and maintenance. This paper performs a systematic review in order to investigate the use of AI-based tools for improving the performance of energy control systems and enhance thermal comfort. This enables a holistic understanding of (1) the challenges of providing thermal comfort to the users inside buildings in an energy efficient way, and (2) the related bibliographic material to help researchers and professionals in the area undertaking such a challenge. Compared to existing reviews, this paper extends the state of the art by reviewing and categorizing all existing publications and providing the material related to the AI-assisted tools for building environment control while considering a dynamic interaction within comfort-subject-energy control loop.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

10/02/2021

Artificial intelligence for Sustainable Energy: A Contextual Topic Modeling and Content Analysis

Parallel to the rising debates over sustainable energy and artificial in...
03/27/2020

Comfort-as-a-Service: Designing a User-Oriented Thermal Comfort Artifact for Office Buildings

Most people spend up to 90 the field of facility management and related...
05/14/2020

An Artificial-intelligence/Statistics Solution to Quantify Material Distortion for Thermal Compensation in Additive Manufacturing

In this paper, we introduce a probabilistic statistics solution or artif...
06/28/2019

Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning

We tune one of the most common heating, ventilation, and air conditionin...
12/15/2020

LSTM-based Space Occupancy Prediction towards Efficient Building Energy Management

Energy consumed in buildings takes significant portions of the total glo...
02/25/2021

Urban Building Energy Modeling (UBEM) Tools: A State-of-the-Art Review of bottom-up physics-based approaches

Regulations corroborate the importance of retrofitting existing building...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.