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 …
systems is crucial to reduce buildings' energy costs and their carbon footprint. HVAC …
[HTML][HTML] A zone-level, building energy optimisation combining an artificial neural network, a genetic algorithm, and model predictive control
Buildings account for a substantial proportion of global energy consumption and global
greenhouse gas emissions. Given the growth in smart devices and sensors there is an …
greenhouse gas emissions. Given the growth in smart devices and sensors there is an …
Rethinking HVAC temperature setpoints in commercial buildings: The potential for zero-cost energy savings and comfort improvement in different climates
Abstract Heating, Ventilation, and Air Conditioning (HVAC) systems are responsible for a
significant share of the energy consumed in commercial buildings. While energy system …
significant share of the energy consumed in commercial buildings. While energy system …
Thermo-electrochemical modeling of thermally regenerative flow batteries
Thermally regenerative flow batteries are promising for harvesting the ubiquitous low-grade
heat energy. Efforts have been made to improve the performance of this type of battery by …
heat energy. Efforts have been made to improve the performance of this type of battery by …
Validation of virtual sensor-assisted Bayesian inference-based in-situ sensor calibration strategy for building HVAC systems
G Li, J Xiong, S Sun, J Chen - Building Simulation, 2023 - Springer
For building heating, ventilation and air-conditioning systems (HVACs), sensor faults
significantly affect the operation and control. Sensors with accurate and reliable …
significantly affect the operation and control. Sensors with accurate and reliable …
Robustness of building energy optimization with uncertainties using deterministic and stochastic methods: Analysis of two forms
Building performance optimization is effective in searching for optimal design solutions, but
its result may be unrobust with uncertainties in input parameters, especially for form design …
its result may be unrobust with uncertainties in input parameters, especially for form design …
Model Predictive Control and energy optimisation in residential building with electric underfloor heating system
M Ławryńczuk, P Ocłoń - Energy, 2019 - Elsevier
This work is concerned with modelling, Model Predictive Control (MPC) and on-line energy
optimisation of a residential building in which an underfloor heating system based on …
optimisation of a residential building in which an underfloor heating system based on …
An optimized machine learning approach for forecasting thermal energy demand of buildings
S Rastbod, F Rahimi, Y Dehghan, S Kamranfar… - Sustainability, 2022 - mdpi.com
Recent developments in indirect predictive methods have yielded promising solutions for
energy consumption modeling. The present study proposes and evaluates a novel …
energy consumption modeling. The present study proposes and evaluates a novel …
A weather-clustering and energy-thermal comfort optimization methodology for indoor cooling in subtropical desert climates
This paper proposes a novel methodology to assess the yearly Heating Ventilation Air
Conditioning (HVAC) energy costs and indoor comfort levels for indoor spaces. The …
Conditioning (HVAC) energy costs and indoor comfort levels for indoor spaces. The …
[HTML][HTML] Energy saving actions toward NZEBs with multiple-criteria optimization in current residential buildings
F Tang, J Chen, J Li, D Rodriguez - Energy Reports, 2020 - Elsevier
Energy performance improvement has become a priority for current buildings in recent
years. To achieve expense-efficient solutions, retrofitting approaches should be defined …
years. To achieve expense-efficient solutions, retrofitting approaches should be defined …