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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 …
Circular bio-based building materials: A literature review of case studies and sustainability assessment methods
Circular bio-based building materials are “materials wholly or partly derived from renewable
biological origins, or by-products and biowaste of plant and/or animal biomass that can be …
biological origins, or by-products and biowaste of plant and/or animal biomass that can be …
[HTML][HTML] Digital Twin framework for automated fault source detection and prediction for comfort performance evaluation of existing non-residential Norwegian buildings
Numerous buildings fall short of expectations regarding occupant satisfaction, sustainability,
or energy efficiency. In this paper, the performance of buildings in terms of occupant comfort …
or energy efficiency. In this paper, the performance of buildings in terms of occupant comfort …
Smart city digital twin–enabled energy management: Toward real-time urban building energy benchmarking
To meet energy-reduction goals, cities are challenged with assessing building energy
performance and prioritizing efficiency upgrades across existing buildings. Although current …
performance and prioritizing efficiency upgrades across existing buildings. Although current …
A critical analysis of LEED, BREEAM and DGNB as sustainability assessment methods for retail buildings
Background: Retail stores are among the building typologies with the highest consumption
of natural resources. Hence, understanding how retail stores can integrate sustainability …
of natural resources. Hence, understanding how retail stores can integrate sustainability …
[HTML][HTML] Improving building occupant comfort through a digital twin approach: A Bayesian network model and predictive maintenance method
This study introduces a Bayesian network model to evaluate the comfort levels of occupants
of two non-residential Norwegian buildings based on data collected from satisfaction …
of two non-residential Norwegian buildings based on data collected from satisfaction …
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 on the basics of building energy estimation
N Fumo - Renewable and sustainable energy reviews, 2014 - Elsevier
Energy security, environmental concerns, thermal comfort, and economic matters are driving
factors for the development of research on reducing energy consumption and the associated …
factors for the development of research on reducing energy consumption and the associated …
Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making
Non-domestic buildings contribute 20% of the UK's annual carbon emissions. A contribution
exacerbated by its ageing stock of which only 7% is considered new-build. Consequently …
exacerbated by its ageing stock of which only 7% is considered new-build. Consequently …
[HTML][HTML] Understanding the energy consumption and occupancy of a multi-purpose academic building
Building energy use associated with non-domestic buildings accounts for approximately
19% of the total UK CO 2 emissions. Energy consumption in a non-domestic building is a …
19% of the total UK CO 2 emissions. Energy consumption in a non-domestic building is a …