[HTML][HTML] Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies
As one of the most important and advanced technology for carbon-mitigation in the building
sector, building performance simulation (BPS) has played an increasingly important role …
sector, building performance simulation (BPS) has played an increasingly important role …
State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field
Y Yao, DK Shekhar - Building and Environment, 2021 - Elsevier
Building systems are subject of dynamic system that have a general feature of non-linearity
and in turn, present us with different challenges for its optimized control of energy-saving …
and in turn, present us with different challenges for its optimized control of energy-saving …
All you need to know about model predictive control for buildings
It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
Model predictive control (MPC) for enhancing building and HVAC system energy efficiency: Problem formulation, applications and opportunities
In the last few years, the application of Model Predictive Control (MPC) for energy
management in buildings has received significant attention from the research community …
management in buildings has received significant attention from the research community …
Hybrid system controls of natural ventilation and HVAC in mixed-mode buildings: A comprehensive review
Mixed-mode buildings utilise a combination of natural ventilation from operable building
envelopes and mechanical systems to realise climate-friendly ventilation and cooling. The …
envelopes and mechanical systems to realise climate-friendly ventilation and cooling. The …
Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning
Whole building energy model (BEM) is a physics-based modeling method for building
energy simulation. It has been widely used in the building industry for code compliance …
energy simulation. It has been widely used in the building industry for code compliance …
Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: A review
Energy demand has been increasing worldwide and the building sector represents a large
percentage of global energy consumption. Therefore, promoting energy efficiency in …
percentage of global energy consumption. Therefore, promoting energy efficiency in …
Review of building energy modeling for control and operation
X Li, J Wen - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
Abstract Buildings consume about 41.1% of primary energy and 74% of the electricity in the
US Better or even optimal building energy control and operation strategies provide great …
US Better or even optimal building energy control and operation strategies provide great …
Model predictive control for demand flexibility: Real-world operation of a commercial building with photovoltaic and battery systems
Hundreds of studies have investigated Model Predictive Control (MPC) for the optimal
operation of building energy systems in the past two decades. However, MPC field tests are …
operation of building energy systems in the past two decades. However, MPC field tests are …
[HTML][HTML] Approximate model predictive building control via machine learning
Many studies have proven that the building sector can significantly benefit from replacing the
current practice rule-based controllers (RBC) by more advanced control strategies like …
current practice rule-based controllers (RBC) by more advanced control strategies like …