Model-Based Potential Analysis of Demand-Controlled Ventilation in Buildings

机译：基于模型的建筑物需求控制通风潜在分析

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This paper proposes a model-based framework to estimate the theoretical energy saving potential offered by CO_2-based demand-controlled ventilation systems in buildings. For this purpose, the energy consumption of different heating ventilation air conditioning (HVAC) system configurations is compared for different occupancy scenarios. Physics-based models are used to describe the environmental conditions in the building and to estimate the energy consumption of the HVAC system. In order to guarantee optimality, the HVAC system is controlled by an optimal control approach aiming to minimize the energy consumption and to satisfy the comfort requirements.

机译：本文提出了一种基于模型的框架，以估算建筑物中基于CO_2的需求控制的通风系统提供的理论节能潜力。为此目的，比较不同的占用场景的不同加热通风空调（HVAC）系统配置的能量消耗。基于物理的模型用于描述建筑物的环境条件，并估算HVAC系统的能耗。为了保证最佳状态，HVAC系统由最佳控制方法控制，旨在最大限度地减少能量消耗并满足舒适要求。

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《Vienna International Conference on Mathematical Modelling》|2018年|450p|共6页
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K. Ben Jemaa; P. Kotman; K. Graichen;
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中图分类 TP15-53;
关键词
CO_2-based demand controlled ventilation; HVAC systems; Model based control; Optimal control; Energy efficient buildings; User comfort;

机译：基于CO_2的需求受控通风;HVAC系统;基于模型的控制;最优控制;节能建筑;用户舒适;

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1. Model-Based Potential Analysis of Demand-Controlled Ventilation in Buildings [J] . K. Ben Jemaa, P. Kotman, K. Graichen IFAC PapersOnLine . 2018,第2期

机译：基于模型的建筑物中需求控制通风的潜力分析
2. A novel simulation-based framework for sensor error impact analysis in smart building systems: A case study for a demand-controlled ventilation system [J] . Applied Energy . 2020,第Apra1期

机译：基于新型基于模拟的智能建筑系统中传感器误差影响分析框架：需求控制通风系统的案例研究
3. Energy savings through implementation of a multi-state Time Control Program (TCP) in demand-controlled ventilation of commercial buildings [J] . Kitzberger Thomas, Kotik Jan, Schmoellerl Matthias, Energy and Buildings . 2018,第APRa期

机译：通过在商业建筑的需求控制通风中实施多状态时间控制程序（TCP）来节省能源
4. Model-Based Potential Analysis of Demand-Controlled Ventilation in Buildings [C] . K. Ben Jemaa, P. Kotman, K. Graichen Vienna International Conference on Mathematical Modelling . 2018

机译：基于模型的建筑物需求控制通风潜在分析
5. Controlling Wind Pressure Around Buildings: Using Automated Multi-Angle Ventilation Louvers for Higher Natural Ventilation Potential [D] . Lim, Sunghwan. 2021

机译：控制建筑物周围的风力压力：使用自动多角度通风百叶窗进行更高的自然通风电位
6. Dataset of the EnergyPlus model used in the assessment of natural ventilation potential through building simulation [O] . N.R.M. Sakiyama, L. Mazzaferro, J.C. Carlo, 2021

机译：通过建筑模拟评估自然通风潜力的能量应用模型的数据集
7. Demand-controlled ventilation in new residential buildings : consequences on indoor air quality and energy savings [O] . Hesaraki, Arefeh, Holmberg, Sture 2015

机译：新住宅建筑中按需控制的通风：对室内空气质量和节能的影响

Model-Based Potential Analysis of Demand-Controlled Ventilation in Buildings

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