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 …

Grey-box modeling and application for building energy simulations-A critical review

Y Li, Z O'Neill, L Zhang, J Chen, P Im… - … and Sustainable Energy …, 2021 - Elsevier
Grey-box modeling, as one of the three fundamental modeling techniques for building
energy models, has many advantages compared with black-box modeling and white-box …

Model predictive control (MPC) for enhancing building and HVAC system energy efficiency: Problem formulation, applications and opportunities

G Serale, M Fiorentini, A Capozzoli, D Bernardini… - Energies, 2018 - mdpi.com
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 …

Hybrid system controls of natural ventilation and HVAC in mixed-mode buildings: A comprehensive review

Y Peng, Y Lei, ZD Tekler, N Antanuri, SK Lau… - Energy and …, 2022 - Elsevier
Mixed-mode buildings utilise a combination of natural ventilation from operable building
envelopes and mechanical systems to realise climate-friendly ventilation and cooling. The …

Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: A review

B Chenari, JD Carrilho, MG Da Silva - Renewable and Sustainable Energy …, 2016 - Elsevier
Energy demand has been increasing worldwide and the building sector represents a large
percentage of global energy consumption. Therefore, promoting energy efficiency in …

Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective

S Zhan, A Chong - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Abstract Model predictive control (MPC) has shown great potential in improving building
performance and saving energy. However, after over 20 years of research, it is yet to be …

Real time optimal control of district cooling system with thermal energy storage using neural networks

SJ Cox, D Kim, H Cho, P Mago - Applied energy, 2019 - Elsevier
Thermal energy storage can be utilized as an effective component in energy systems to
maximize cost savings when time-of-use (TOU) pricing or real-time pricing (RTP) is in place …

Prediction of window opening behavior and its impact on HVAC energy consumption at a residential dormitory using Deep Neural Network

PR Pandey, B Dong - Energy and Buildings, 2023 - Elsevier
Abstract Individuals globally spend about 88–92% of their entire time in the indoor
environment. The implementation of regularly scheduled systems operation is common in …

Flexible dispatch of a building energy system using building thermal storage and battery energy storage

J Niu, Z Tian, Y Lu, H Zhao - Applied Energy, 2019 - Elsevier
The increasing development of renewable energy sources requires more flexible
technologies to be applied in building energy systems and a flexible controlled resource for …

Model predictive control of radiant slab systems with evaporative cooling sources

JD Feng, F Chuang, F Borrelli, F Bauman - Energy and Buildings, 2015 - Elsevier
Buildings that use radiant slab systems with evaporative cooling sources have shown to be
energy efficient. However, control of the systems is challenging because of the slow …