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 …
and in turn, present us with different challenges for its optimized control of energy-saving …
[HTML][HTML] Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches
C Klemm, P Vennemann - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
About 75% of the world's energy consumption takes place in cities. Although their large
energy consumption attracts a large number of research projects, only a small fraction of …
energy consumption attracts a large number of research projects, only a small fraction of …
Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches
Buildings have a significant impact on global sustainability. During the past decades, a wide
variety of studies have been conducted throughout the building lifecycle for improving the …
variety of studies have been conducted throughout the building lifecycle for improving the …
[HTML][HTML] Using urban building energy modelling (UBEM) to support the new European Union's Green Deal: Case study of Dublin Ireland
Abstract The European Unions (EU) Green Deal plans for a carbon neutral economy by
2050. Achieving this goal will require actions across all economic sectors, especially the …
2050. Achieving this goal will require actions across all economic sectors, especially the …
Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective
Abstract Model predictive control (MPC) has shown great potential in improving building
performance and saving energy. However, after over 20 years of research, it is yet to be …
performance and saving energy. However, after over 20 years of research, it is yet to be …
Machine learning for geographically differentiated climate change mitigation in urban areas
N Milojevic-Dupont, F Creutzig - Sustainable Cities and Society, 2021 - Elsevier
Artificial intelligence and machine learning are transforming scientific disciplines, but their
full potential for climate change mitigation remains elusive. Here, we conduct a systematic …
full potential for climate change mitigation remains elusive. Here, we conduct a systematic …
[HTML][HTML] Deployment and control of adaptive building facades for energy generation, thermal insulation, ventilation and daylighting: A review
H Alkhatib, P Lemarchand, B Norton… - Applied Thermal …, 2021 - Elsevier
A major objective in the design and operation of buildings is to maintain occupant comfort
without incurring significant energy use. Particularly in narrower-plan buildings, the …
without incurring significant energy use. Particularly in narrower-plan buildings, the …
Review of developments in whole-building statistical energy consumption models for commercial buildings
A significant portion of energy consumption occurs in buildings today. Accurate and easy-to-
implement methods are needed to calculate building energy consumption for a wide range …
implement methods are needed to calculate building energy consumption for a wide range …
[HTML][HTML] Detailed cross comparison of building energy simulation tools results using a reference office building as a case study
Abstract Building Energy Simulation (BES) tools play a key role in the optimization of the
building system during the different phases, from pre-design through commissioning to …
building system during the different phases, from pre-design through commissioning to …
SiO2 hydrophilic modification of expanded graphite to fabricate form-stable ternary nitrate composite room temperature phase change material for thermal energy …
W Chen, X Liang, S Wang, Y Ding, X Gao… - Chemical Engineering …, 2021 - Elsevier
A form-stable ternary nitrate (LiNO 3· 3H 2 O-KNO 3-NaNO 3) composite phase change
material (CPCM) with modified expanded graphite (MEG) as carrier was investigated. In …
material (CPCM) with modified expanded graphite (MEG) as carrier was investigated. In …