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Constructing and calibrating a generic model for latent HVAC energy demand for urban building energy modeling
The City Energy Analyst (CEA) is an open source tool for the analysis of urban energy systems. CEA aims to support planners and researchers in the analysis and optimization of building energy systems in urban districts. In hot and humid tropical climates latent cooling loads are responsible for a significant share of building energy demand. In order to assess the performance of different HVAC systems at the district scale, an accurate forecasting of latent loads in buildings is necessary.
Keywords: CityEnergyAnalyst (CEA) - Urban Energy Modeling - Building Physics Modeling - Humidity - Moisture - Latent Heat
The City Energy Analyst (CEA) is an open source tool for the analysis of urban energy systems. CEA aims to support planners and researchers in the analysis and optimization of building energy systems in urban districts. In hot and humid tropical climates latent cooling loads are responsible for a significant share of building energy demand. In order to assess the performance of different HVAC systems at the district scale, an accurate forecasting of latent loads in buildings is necessary.
The goal of this thesis is to build a model for moisture transfer in buildings, which is similar to the existing Resistance-Capacitance (RC) model for heat transfer (ISO 13790-2008) used for space sensible heating and cooling load calculation. However, in hot and humid climate, accurate description of moisture transfer by transmission is crucial for latent cooling load calculation. Therefore, an accurate dynamic moisture transfer model in buildings is the foundation to study cooling energy supply systems in the hot and humid climates.
This thesis work involves:
- Researching on existing models and standard calculation procedures of moisture transfer and storage in buildings.
- Coding a suitable model accounting for moisture transfer through transmission, ventilation and internal gains in buildings.
- Calibrating the model with real-time measured data from an office building in Singapore.
The by-product of such analysis will be a new library for the CEA.
Requirements • Knowledge of building physics and building energy performance modeling and simulation • Coding skills (in Python) are a plus. Willingness to learn these tools is expected.
This Master thesis can be developed in Singapore or Zurich. A minimum stay of 3 months in Singapore will be necessary.
We are looking for motivated students to support our research. Please send a copy of previous project work (BSc, etc.) with your application.
The City Energy Analyst (CEA) is an open source tool for the analysis of urban energy systems. CEA aims to support planners and researchers in the analysis and optimization of building energy systems in urban districts. In hot and humid tropical climates latent cooling loads are responsible for a significant share of building energy demand. In order to assess the performance of different HVAC systems at the district scale, an accurate forecasting of latent loads in buildings is necessary.
The goal of this thesis is to build a model for moisture transfer in buildings, which is similar to the existing Resistance-Capacitance (RC) model for heat transfer (ISO 13790-2008) used for space sensible heating and cooling load calculation. However, in hot and humid climate, accurate description of moisture transfer by transmission is crucial for latent cooling load calculation. Therefore, an accurate dynamic moisture transfer model in buildings is the foundation to study cooling energy supply systems in the hot and humid climates.
This thesis work involves:
- Researching on existing models and standard calculation procedures of moisture transfer and storage in buildings.
- Coding a suitable model accounting for moisture transfer through transmission, ventilation and internal gains in buildings.
- Calibrating the model with real-time measured data from an office building in Singapore. The by-product of such analysis will be a new library for the CEA.
Requirements • Knowledge of building physics and building energy performance modeling and simulation • Coding skills (in Python) are a plus. Willingness to learn these tools is expected.
This Master thesis can be developed in Singapore or Zurich. A minimum stay of 3 months in Singapore will be necessary.
We are looking for motivated students to support our research. Please send a copy of previous project work (BSc, etc.) with your application.
The goal is to model and code a latent cooling load calculation for humid climates. At the same time an independent research question around the topic of urban energy systems optimization should be elaborated.
The goal is to model and code a latent cooling load calculation for humid climates. At the same time an independent research question around the topic of urban energy systems optimization should be elaborated.