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City of Strasbourg reconstructed with the satellite view
Dynamic energy simulation (DES) is a numerical simulation method used to assess the energy consumption of buildings, taking into account their equipment and use. It is used to optimize the design, use and renovation of buildings.
As part of the Ktirio project, we offer a range of building models for SED, from monozone to 3D models. Post-processing tools are introduced to analyze simulation results and produce comfort and energy performance indicators that can be used to guide design, construction and renovation strategies. In the European CoE Hidalgo2 project, we are interested in scaling up SED to simulate neighborhoods or entire cities.
The HiDALGO2 Center of Excellence aims to explore synergies between modeling, simulation, data acquisition, analysis and visualization, as well as to improve the scalability of current and future HPC and AI infrastructures, in order to provide highly scalable solutions capable of making effective use of pre-exascale systems. The proposed solutions will be tested and validated on five demonstrators (see figure 1) designed to address the environmental issues of our time: air quality in urban agglomerations, energy efficiency in buildings, renewable energies, forest fires and weather and water forecasting. The common modelling feature of these simulations is the use of Computational Fluid Dynamics (CFD) numerical fluid flow analysis, which is generally very demanding in terms of computing resources.
Figure 1: Hidalgo2 pilot applications
As part of this project, Cemosis is developing the Urban Buildings pilot application, the main aim of which is to create SED and indoor air quality models that will be coupled with those of the Urban Air Project (UAP) pilot application to better take into account the interactions between buildings and their urban environment. This will make it possible to simulate the contribution of buildings on a city-wide scale, particularly in terms of heat, greenhouse gas (GHG) and NOx emissions, and to better estimate the conditions outside buildings. The aim of this application is to provide tools that will help property managers and decision-makers to understand and control the indoor and outdoor comfort and air quality of their assets.
In France and the European Union, the building sector is responsible for a significant proportion of energy consumption and greenhouse gas emissions. By improving the energy efficiency of buildings, our application is in line with the objectives set by initiatives such as the European Green Deal. In addition, thermal comfort and indoor and outdoor air quality have a profound impact on people’s well-being, productivity and health, making it essential to develop decision-support tools to manage and improve these factors.
The Urban Buildings pilot application of the Hidalgo2 project uses a two-scale approach. At the urban scale, simplified SED and indoor air quality models are used to simulate the collective contribution of the building stock to outdoor air quality. This makes it possible to identify areas with defects or anomalies requiring special attention, and to implement effective management, control and renovation strategies. In cases where a particular building is identified as energy- or GHG-intensive, or where renovation work is planned, more detailed building-wide simulations can be carried out to identify opportunities for improvement.
Figure 2: Interaction between the Urban Buildings and Urban Air Project pilot applications of the Hidalgo2 project. interactionUBMAUP
The integration of the building stock into its environment is facilitated by the Urban Air Pollution (UAP) model, which provides the building model with precise outdoor conditions such as temperature, wind speed and direction. The UAP model also improves the estimation of solar shading and radiative heat transfer on building envelopes.
The Urban Buildings application uses a variety of algorithms and tools to achieve its research objectives. These include single and multi-zone models, computational fluid dynamics (CFD), heat transfer algorithms, passive transport models, model order reduction techniques, data assimilation methods and multi-processing libraries for high performance computing (HPC).
Input data required for the Urban Buildings application include geometric representations of buildings (in BIM or ifc format), material properties, use/occupancy scenarios, energy system schedules, weather files, energy consumption data, heating system types, energy source types and sensor data (e.g. temperature, humidity, air quality, energy consumption).
The results of this application include heat flow over surfaces, temperature over surfaces and greenhouse gas emissions, in particular emissions of air pollutants such as CO2 and NOx. The project aims to quantify the average quantities of CO2 and NOx emissions per building, and intends to include NOx emissions from buildings within its scope.
All our developments will be deployed on EuroHPC’s pre-exascale computers and will be available via an online platform for deploying Hidalgo2 services, in particular dynamic energy and urban air quality simulation. This platform enables simulations to be configured, calculations to be launched and results to be visualized. It is accessible via a web browser and has been developed in collaboration with Hidalgo2 project partners.
We would like to thank the European Commission for funding the Hidalgo2 project - HPC and Big Data Technologies for Global Challenges (Grant Agreement No. 101093457), the CNRS for funding the Ktirio project (early-stage program) and AMIES for the initial funding that were the starting points for all this.
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City of Strasbourg reconstructed with the satellite view
Dynamic energy simulation (DES) is a numerical simulation method used to assess the energy consumption of buildings, taking into account their equipment and use. It is used to optimize the design, use and renovation of buildings.
As part of the Ktirio project, we offer a range of building models for SED, from monozone to 3D models. Post-processing tools are introduced to analyze simulation results and produce comfort and energy performance indicators that can be used to guide design, construction and renovation strategies. In the European CoE Hidalgo2 project, we are interested in scaling up SED to simulate neighborhoods or entire cities.
The HiDALGO2 Center of Excellence aims to explore synergies between modeling, simulation, data acquisition, analysis and visualization, as well as to improve the scalability of current and future HPC and AI infrastructures, in order to provide highly scalable solutions capable of making effective use of pre-exascale systems. The proposed solutions will be tested and validated on five demonstrators (see figure 1) designed to address the environmental issues of our time: air quality in urban agglomerations, energy efficiency in buildings, renewable energies, forest fires and weather and water forecasting. The common modelling feature of these simulations is the use of Computational Fluid Dynamics (CFD) numerical fluid flow analysis, which is generally very demanding in terms of computing resources.
Figure 1: Hidalgo2 pilot applicationsAs part of this project, Cemosis is developing the Urban Buildings pilot application, the main aim of which is to create SED and indoor air quality models that will be coupled with those of the Urban Air Project (UAP) pilot application to better take into account the interactions between buildings and their urban environment. This will make it possible to simulate the contribution of buildings on a city-wide scale, particularly in terms of heat, greenhouse gas (GHG) and NOx emissions, and to better estimate the conditions outside buildings. The aim of this application is to provide tools that will help property managers and decision-makers to understand and control the indoor and outdoor comfort and air quality of their assets.
In France and the European Union, the building sector is responsible for a significant proportion of energy consumption and greenhouse gas emissions. By improving the energy efficiency of buildings, our application is in line with the objectives set by initiatives such as the European Green Deal. In addition, thermal comfort and indoor and outdoor air quality have a profound impact on people’s well-being, productivity and health, making it essential to develop decision-support tools to manage and improve these factors.
The Urban Buildings pilot application of the Hidalgo2 project uses a two-scale approach. At the urban scale, simplified SED and indoor air quality models are used to simulate the collective contribution of the building stock to outdoor air quality. This makes it possible to identify areas with defects or anomalies requiring special attention, and to implement effective management, control and renovation strategies. In cases where a particular building is identified as energy- or GHG-intensive, or where renovation work is planned, more detailed building-wide simulations can be carried out to identify opportunities for improvement.
Figure 2: Interaction between the Urban Buildings and Urban Air Project pilot applications of the Hidalgo2 project. interactionUBMAUPThe integration of the building stock into its environment is facilitated by the Urban Air Pollution (UAP) model, which provides the building model with precise outdoor conditions such as temperature, wind speed and direction. The UAP model also improves the estimation of solar shading and radiative heat transfer on building envelopes.
The Urban Buildings application uses a variety of algorithms and tools to achieve its research objectives. These include single and multi-zone models, computational fluid dynamics (CFD), heat transfer algorithms, passive transport models, model order reduction techniques, data assimilation methods and multi-processing libraries for high performance computing (HPC).
Input data required for the Urban Buildings application include geometric representations of buildings (in BIM or ifc format), material properties, use/occupancy scenarios, energy system schedules, weather files, energy consumption data, heating system types, energy source types and sensor data (e.g. temperature, humidity, air quality, energy consumption).
The results of this application include heat flow over surfaces, temperature over surfaces and greenhouse gas emissions, in particular emissions of air pollutants such as CO2 and NOx. The project aims to quantify the average quantities of CO2 and NOx emissions per building, and intends to include NOx emissions from buildings within its scope.
All our developments will be deployed on EuroHPC’s pre-exascale computers and will be available via an online platform for deploying Hidalgo2 services, in particular dynamic energy and urban air quality simulation. This platform enables simulations to be configured, calculations to be launched and results to be visualized. It is accessible via a web browser and has been developed in collaboration with Hidalgo2 project partners.
We would like to thank the European Commission for funding the Hidalgo2 project - HPC and Big Data Technologies for Global Challenges (Grant Agreement No. 101093457), the CNRS for funding the Ktirio project (early-stage program) and AMIES for the initial funding that were the starting points for all this.
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