Building Energy Management in Smart Thermal Grids€¦ · Building Energy Management in Smart...
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Requirements Ability to communicate effectively, self-motivated and desire to learn new simulation tools. Background in model predictive control and optimization is desired. Notions of the basic principles underlying building energy use (thermodynamics and heat transfer) preferred but not required. Objectives ● Design of detailed building and HVAC system models using the well-known transient systems simulator TRNSYS. ● Design of different climate control scenarios depending on several factors such as building size, HVAC components and operating conditions. ● Integration of a run-time hierarchical control scheme for the Smart Thermal Grid case using Matlab and TRNSYS. ● Assessment of the modularity and performance of the energy management approach. Introduction Building energy consumption is nowadays a major concern from an economic and environmental point of view. The use of Aquifer Thermal Energy Storage can significantly reduce the electricity consumption and contribute to the mitigation of the greenhouse gas emissions. Climate control systems for large-scale buildings are complex and require a proper control approach for the efficient use of energy. In a Smart Thermal Grid approach, the synchronisation between the high-level grid control scheme and the low-level building controllers is very important in order to fulfill the building energy demand requirements. Building Energy Management in Smart Thermal Grids Eunice Herrera [email protected], Tamás Keviczky [email protected] Challenges ● The proper modelling and control of complex building systems must take into account several constraints and operating conditions. ● A trade-off between building system models accuracy and controller performance is necessary. Key topics Predictive control approaches, interactive controllers, modelling, building energy management, optimization. The candidate must show a particular interest in combining both research and industry applications.
Transcript of Building Energy Management in Smart Thermal Grids€¦ · Building Energy Management in Smart...
Requirements
Ability to communicate effectively, self-motivated and desire to learn new simulation tools.
Background in model predictive control and optimization is desired.
Notions of the basic principles underlying building energy use (thermodynamics and heat transfer) preferred but not required.
Objectives
● Design of detailed building and HVAC system models using the well-known transient systems simulator TRNSYS.
● Design of different climate control scenarios depending on several factors such as building size, HVAC components and operating conditions.
● Integration of a run-time hierarchical control scheme for the Smart Thermal Grid case using Matlab and TRNSYS.
● Assessment of the modularity and performance of the energy management approach.
Introduction Building energy consumption is nowadays a major concern from an economic and environmental point of view.
The use of Aquifer Thermal Energy Storage can significantly reduce the electricity consumption and contribute to the mitigation of the greenhouse gas emissions. Climate control systems for large-scale buildings are complex and require a proper control approach for the efficient use of energy.
In a Smart Thermal Grid approach, the synchronisation between the high-level grid control scheme and the low-level building controllers is very important in order to fulfill the building energy demand requirements.
Building Energy Management in Smart Thermal Grids
Eunice Herrera [email protected], Tamás Keviczky [email protected]
Challenges
● The proper modelling and control of complex building systems must take into account several constraints and operating conditions.
● A trade-off between building system models accuracy and
controller performance is necessary.
Key topics
Predictive control approaches, interactive controllers, modelling, building energy management, optimization.
The candidate must show a particular interest in combining both research and industry applications.
