مؤتمر
A sensitivity analysis to support the modelling of space heating demand in view of developing a load shedding algorithm
| العنوان: | A sensitivity analysis to support the modelling of space heating demand in view of developing a load shedding algorithm |
|---|---|
| المؤلفون: | Aoun, Nadine, Baviere, Roland, Vallee, Mathieu, Sandou, Guillaume |
| المساهمون: | Institut National de L'Energie Solaire (INES), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS), Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Agence de l'Environnement et de la Maîtrise de l'Energie (ADEME) |
| المصدر: | 3rd International ConferenceSmart Energy Systems and 4 th Generation District Heating https://centralesupelec.hal.science/hal-01667941Test 3rd International ConferenceSmart Energy Systems and 4 th Generation District Heating, Sep 2017, Copenhague, Denmark |
| بيانات النشر: | HAL CCSD |
| سنة النشر: | 2017 |
| المجموعة: | HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) |
| مصطلحات موضوعية: | District heating demand, Occupants behavior, Furniture thermal inertia, Modelica, Monte Carlo, [SPI.AUTO]Engineering Sciences [physics]/Automatic |
| جغرافية الموضوع: | Copenhague, Denmark |
| الوصف: | International audience ; Heat demand in District Heating Systems (DHS) is a highly time-varying quantity because it directly depends on external weather conditions and heat consumption habits. In traditional control strategies of DHS, heat production is contingent on heat demand, thus resulting in peak loads during certain hours of the day. Advanced control strategies relying on Load Shedding (LS) offer an alternative by shifting heat production to off-peak periods. However, ensuring consumers' thermal comfort is of vital importance in this context. Therefore, a careful assessment of all heat gains and losses as well as short-term heat storage capacity due to buildings' thermal inertia including furniture is pivotal for LS. Dynamic Thermal Simulation (DTS) applied to buildings is a powerful tool for the development and assessment of optimal LS control strategies. However, the parameterization of such tools can be rather cumbersome. As a first step towards the development of an LS algorithm, we intend in this communication to present the results of a sensitivity analysis performed to identify the most influencing parameters. Many studies have recognized the important and stochastic impact of occupants on a building's energy balance (e.g. [1]). Most studies considered empty buildings; whereas in [2], the authors emphasized the influence of furniture's thermal mass on heat consumption. Wherefore, we developed a building numerical simulator and we included disturbance signals for internal heat gains and windows opening, as well as additional partition walls representing furniture. Two categories of multi-floors buildings are considered: poorly insulated buildings representing old dwellings, and well-insulated buildings representing recently built ones. Modelica language is used for this end, since it is an object oriented language with a well-suited inherent bottom-up non-causal modeling approach. The MixedAir component of the Buildings library [3] is adopted to model a 4-zones floor. RadiatorEN442_2 is a hydronic ... |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| العلاقة: | hal-01667941; https://centralesupelec.hal.science/hal-01667941Test |
| الإتاحة: | https://centralesupelec.hal.science/hal-01667941Test |
| رقم الانضمام: | edsbas.AF0E829D |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |