[HTML][HTML] Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies

Y Pan, M Zhu, Y Lv, Y Yang, Y Liang, R Yin… - Advances in Applied …, 2023 - Elsevier
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 …

A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis

D Mariano-Hernández, L Hernández-Callejo… - Journal of Building …, 2021 - Elsevier
Building energy use is expected to grow by more than 40% in the next 20 years. Electricity
remains the largest energy source consumed by buildings, and that demand is growing. To …

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 …

[HTML][HTML] Data-driven predictive control for unlocking building energy flexibility: A review

A Kathirgamanathan, M De Rosa, E Mangina… - … and Sustainable Energy …, 2021 - Elsevier
Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …

State of the art review on the HVAC occupant-centric control in different commercial buildings

G Huang, ST Ng, D Li, Y Zhang - Journal of Building Engineering, 2024 - Elsevier
Heating ventilation and air conditioning (HVAC) systems control that takes occupant
information into account is called HVAC occupant-centric control (OCC), which strikes better …

Data-driven based HVAC optimisation approaches: A Systematic Literature Review

M Ala'raj, M Radi, MF Abbod, M Majdalawieh… - Journal of Building …, 2022 - Elsevier
Improving the energy efficiency of Heating, Ventilation, and Air Conditioning (HVAC)
systems is crucial to reduce buildings' energy costs and their carbon footprint. HVAC …

Hybrid-model-based deep reinforcement learning for heating, ventilation, and air-conditioning control

H Zhao, J Zhao, T Shu, Z Pan - Frontiers in Energy Research, 2021 - frontiersin.org
Buildings account for a large proportion of the total energy consumption in many countries
and almost half of the energy consumption is caused by the Heating, Ventilation, and air …

A case study on understanding energy consumption through prediction and visualization (VIMOEN)

LGB Ruiz, MC Pegalajar, M Molina-Solana… - Journal of Building …, 2020 - Elsevier
Energy efficiency has emerged as an overarching concern due to the high pollution and cost
associated with operating heating, ventilation and air-conditioning systems in buildings …

Predicting the performance of solar power generation using deep learning methods

CH Lee, HC Yang, GB Ye - Applied Sciences, 2021 - mdpi.com
In recent years, many countries have provided promotion policies related to renewable
energy in order to take advantage of the environmental factors of sufficient sunlight …

CntrlDA: A building energy management control system with real-time adjustments. Application to indoor temperature

A Dmitrewski, M Molina-Solana, R Arcucci - Building and Environment, 2022 - Elsevier
Abstract Rule-Based Control (RBC) and Model Predictive Control (MPC) have been
traditionally used to control building heating, ventilation and air conditioning (HVAC) …