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 …
Advances in seasonal thermal energy storage for solar district heating applications: A critical review on large-scale hot-water tank and pit thermal energy storage …
Nowadays, buildings consume a large amount of conventional energy sources in European
countries and subsequently they contribute significantly to fossil fuels emissions. Therefore …
countries and subsequently they contribute significantly to fossil fuels emissions. Therefore …
A review on optimized control systems for building energy and comfort management of smart sustainable buildings
PH Shaikh, NBM Nor, P Nallagownden… - … and Sustainable Energy …, 2014 - Elsevier
Buildings all around the world consume a significant amount of energy, which is more or
less one-third of the total primary energy resources. This has raised concerns over energy …
less one-third of the total primary energy resources. This has raised concerns over energy …
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 …
A review of computational optimisation methods applied to sustainable building design
R Evins - Renewable and sustainable energy reviews, 2013 - Elsevier
This paper presents a comprehensive review of all significant research applying
computational optimisation to sustainable building design problems. A summary of common …
computational optimisation to sustainable building design problems. A summary of common …
Algorithms for optimization of building design: A review
V Machairas, A Tsangrassoulis, K Axarli - Renewable and sustainable …, 2014 - Elsevier
Building design is quite a complicated task with the design team trying to counterbalance
various antagonistic parameters, which in turn are subject to various constraints. Due to this …
various antagonistic parameters, which in turn are subject to various constraints. Due to this …
[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 …
Building operation and energy performance: Monitoring, analysis and optimisation toolkit
Buildings consume 40% of global primary energy and contribute to in excess of 30% CO2
emissions. The potential to save energy by systematic building management is known to be …
emissions. The potential to save energy by systematic building management is known to be …
Demand reduction in building energy systems based on economic model predictive control
This paper proposes and demonstrates the effectiveness of an economic model predictive
control (MPC) technique in reducing energy and demand costs for building heating …
control (MPC) technique in reducing energy and demand costs for building heating …
A hybrid model approach for forecasting future residential electricity consumption
Urban energy management nowadays has put more focus on residential houses energy
consumption. Lots of machine learning based data-driven approaches have the abilities to …
consumption. Lots of machine learning based data-driven approaches have the abilities to …