Optimal control of building energy systems with multiple energy sources using predictive model based control and reinforcement learning

2021 ◽  
Author(s):  
Chenzi Huang ◽  
Xuehua Jia ◽  
Stephan Seidel ◽  
Fabian Paschke ◽  
Jan Braunig
Keyword(s):  
Optimal Control ◽  
Reinforcement Learning ◽  
Predictive Model ◽  
Energy Systems ◽  
Building Energy ◽  
Energy Sources ◽  
Model Based Control ◽  
Model Based ◽  
Building Energy Systems

A semantic model-based fault detection approach for building energy systems

2021 ◽  
pp. 108548
Author(s):  
Tingting Li ◽  
Yang Zhao ◽  
Chaobo Zhang ◽  
Kai Zhou ◽  
Xuejun Zhang
Keyword(s):  
Fault Detection ◽  
Energy Systems ◽  
Building Energy ◽  
Semantic Model ◽  
Model Based ◽  
Detection Approach ◽  
Building Energy Systems

Ontological specification for the model integration in ICT building energy systems

2012 ◽  
pp. 939-950 ◽  
Author(s):  
R Guruz ◽  
P Katranuschkov ◽  
R Scherer ◽  
J Kaiser ◽  
J Grunewald ◽  
...  
Keyword(s):  
Energy Systems ◽  
Building Energy ◽  
Model Integration ◽  
Building Energy Systems

scholarly journals Optimum Renewable Fraction for Grid-connected Photovoltaic in Office Building Energy Systems in Indonesia

2018 ◽  
Vol 9 (4) ◽  
pp. 1866 ◽  
Author(s):  
Ayong Hiendro ◽  
Ismail Yusuf ◽  
F. Trias Pontia Wigyarianto ◽  
Kho Hie Khwee ◽  
Junaidi Junaidi
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Systems ◽  
Building Energy ◽  
Office Building ◽  
Pv System ◽  
Optimum Result ◽  
Pv Systems ◽  
Building Energy Systems

<span lang="EN-US">This paper analyzes influences of renewable fraction on grid-connected photovoltaic (PV) for office building energy systems. The fraction of renewable energy has important contributions on sizing the grid-connected PV systems and selling and buying electricity, and hence reducing net present cost (NPC) and carbon dioxide (CO<sub>2</sub>) emission. An optimum result with the lowest total NPC for serving an office building is achieved by employing the renewable fraction of 58%, in which 58% of electricity is supplied from the PV and the remaining 42% of electricity is purchased from the grid. The results have shown that the optimum grid-connected PV system with an appropriate renewable fraction value could greatly reduce the total NPC and CO<sub>2</sub> emission.</span>

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