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 …

Circular bio-based building materials: A literature review of case studies and sustainability assessment methods

DL Le, R Salomone, QT Nguyen - Building and Environment, 2023 - Elsevier
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 …

[HTML][HTML] Digital Twin framework for automated fault source detection and prediction for comfort performance evaluation of existing non-residential Norwegian buildings

HH Hosamo, HK Nielsen, D Kraniotis, PR Svennevig… - Energy and …, 2023 - Elsevier
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 …

Smart city digital twin–enabled energy management: Toward real-time urban building energy benchmarking

A Francisco, N Mohammadi, JE Taylor - Journal of Management in …, 2020 - ascelibrary.org
To meet energy-reduction goals, cities are challenged with assessing building energy
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

A Ferreira, MD Pinheiro, J de Brito, R Mateus - Journal of Building …, 2023 - Elsevier
Background: Retail stores are among the building typologies with the highest consumption
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

HH Hosamo, HK Nielsen, D Kraniotis, PR Svennevig… - Energy and …, 2023 - Elsevier
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 …

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 …

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 …

Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making

S Seyedzadeh, FP Rahimian, S Oliver, S Rodriguez… - Applied Energy, 2020 - Elsevier
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 …

[HTML][HTML] Understanding the energy consumption and occupancy of a multi-purpose academic building

MS Gul, S Patidar - Energy and Buildings, 2015 - Elsevier
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 …