Adaptation of building envelope models for energy simulation at district scale

Frayssinet, Loïc; Kuznik, Frédéric; Hubert, Jean-Luc; Milliez, Maya; Roux, Jean-Jacques

doi:10.1016/j.egypro.2017.07.327

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…There is currently no consensus on the approach to be used. (Frayssinet et al, 2017) shows that more detail envelope meshing than usual simplified BEM is needed when studying power demand. (Perez et al, 2015) presents the R7C4 monozone model developed to consider the major phenomena in the DIMOSIM simulation platform.…”

Section: 3384/ecp19157129mentioning

confidence: 99%

Dynamic Simulation of Residential Buildings Supporting the Development of Flexible Control in District Heating Systems

Aoun¹,

Bavière²,

Vallée³

et al. 2019

Linköping Electronic Conference Proceedings

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Load shifting, peak shaving and night-time setback are key demand-side management measures to make the operation of District Heating Systems (DHSs) more flexible and efficient. These goals can be achieved through appropriate control strategies exploiting the building's and space heating system's thermal inertia. To ease the development of such an advanced controller, we programmed a detailed dynamic Modelica simulator representative of French multi-stories radiator-heated residential buildings. We parametrized the simulator to vary the factors influencing the flexibility potential of a building (e.g. envelope properties, additional internal mass such as partition walls and furniture, the heating system…). This helped us designing a reduced-order building model relevant to our application and setting up a robust identification method for its parameters. We finally used the detailed simulator to test an optimal space-heating controller, thereby allowing many incremental improvements without jeopardizing endusers thermal comfort. This simulation work paves the way to considering the actual implementation of our advanced controller on a real building.

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Section: 3384/ecp19157129mentioning

confidence: 99%

Dynamic Simulation of Residential Buildings Supporting the Development of Flexible Control in District Heating Systems

Aoun¹,

Bavière²,

Vallée³

et al. 2019

Linköping Electronic Conference Proceedings

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show abstract

“…Even the district scale becomes more and more widespread in the energetic dynamic simulation software, like DIstrict MOdeller and SIMulator (DIMOSIM) developed by CSTB [26], City Energy Analyst (CEA) developed by ETH Zurich [27] or Tool for Energy Analysis and Simulation for Efficient Retrofit (TEASER) developed by RWTH Aachen [28]. It was observed that this scale change could be impractical by being relevant to annual heating needs, but not anymore when focusing on power analysis [29]. For this reason, models with different levels of detail have been studied.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Heat Pump Flexibility in a French Residential Eco-District

et al. 2018

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This paper investigates the impact of load shedding strategies on a block of multiple buildings. It particularly deals with the quantification of the factors i.e., peak shaving, occupants’ thermal comfort or CO 2 emission reduction and how to quickly quantify them. To achieve this goal, the paper focuses on a new residential district, thermally fed by heat pumps. Four modeling approaches were implemented in order to estimate buildings’ response towards load shedding. Two schemes were combined in order to study an overall load shedding. This strategy for the neighborhood has proved itself efficient for both peak shaving and thermal comfort. Most of the clipped heating load during the peak period is shifted to low-consumption periods, providing an effective peak shaving. The thermal comfort is guaranteed for at least 96% of the time. For CO 2 emissions reduction, the link between consumption reduction and CO 2 emissions savings should be realized carefully, since shifting the consumption could increase these emissions.

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“…Even the district scale becomes more and more widespread into the energetic dynamic simulation softwares, as DIMOSIM (DIstrict MOdeller and SIMulator) developed by the CSTB [15], CEA (City Energy Analyst) from the Zurich ETH [16] or TEASER (Tool for Energy Analysis and Simulation for Efficient Retrofit) from RWTH [17]. However, it was shown that this scale change could be dangerous by being relevant for annual heating needs, but not anymore when focusing on power analysis [18]. For this reason, we decided to base our study on models with different levels of details.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Heat Pumps Flexibility in a French Residential Eco-District

Pajot¹,

Delinchant²,

Maréchal³

et al. 2018

Preprint

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This paper investigates how blocks of buildings could fit into load shedding strategies. It focuses in particular on what could be the effects on peak shaving, occupants’ thermal comfort or CO2 emissions reduction and how to quickly quantify them. To achieve this goal, we focused on a new residential district, thermally fed by heat pumps. Four modeling approaches were confronted in order to estimate buildings' responses to load shedding orders. On the one hand, a quick estimation of the peak shaving impact can rely on experimental results if the buildings' envelope and uses of the experimentation match those of the study case. On the other hand, thermal simulation models allow us to assess thermal comfort while considering the building physical response. Finally, a hybrid modeling approach can provide a good compromise between modeling rapidity and accuracy of the impacts estimation. At district scale, it may be necessary to mix modeling approaches, from experimental results to detailed thermal models. Accuracy is not guaranteed for all approaches so that the choice should be made carefully in regards to study needs. However, results are sufficient to compare the effects of load shedding strategies on peak shaving, thermal comfort, and CO2 emissions reductions.

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Adaptation of building envelope models for energy simulation at district scale

Cited by 9 publications

References 11 publications

Dynamic Simulation of Residential Buildings Supporting the Development of Flexible Control in District Heating Systems

Dynamic Simulation of Residential Buildings Supporting the Development of Flexible Control in District Heating Systems

Impact of Heat Pump Flexibility in a French Residential Eco-District

Impact of Heat Pumps Flexibility in a French Residential Eco-District

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