Natural ventilation potential from weather analyses and building simulation

Sakiyama, Nayara Rodrigues Marques; Mazzaferro, Leonardo; Carlo, Joyce Correna; Béjat, Timea; Garrecht, Harald

doi:10.1016/j.enbuild.2020.110596

Cited by 37 publications

(16 citation statements)

References 62 publications

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“…Although the measurements are insufficient to carry out a rigorous numerical model validation, they provide proper orientation to guide the analyses concerning natural ventilation performance. A detailed description of the construction, as well as the climatic data used in the study, the experimental protocol, and the measurement equipment, can be found in Reference [78].…”

Section: Reference Building and Wind Velocities Measurementsmentioning

confidence: 99%

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Using CFD to Evaluate Natural Ventilation through a 3D Parametric Modeling Approach

et al. 2021

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Predicting building air change rates is a challenge for designers seeking to deal with natural ventilation, a more and more popular passive strategy. Among the methods available for this task, computational fluid dynamics (CFD) appears the most compelling, in ascending use. However, CFD simulations require a range of settings and skills that inhibit its wide application. With the primary goal of providing a pragmatic CFD application to promote wind-driven ventilation assessments at the design phase, this paper presents a study that investigates natural ventilation integrating 3D parametric modeling and CFD. From pre- to post-processing, the workflow addresses all simulation steps: geometry and weather definition, including incident wind directions, a model set up, control, results’ edition, and visualization. Both indoor air velocities and air change rates (ACH) were calculated within the procedure, which used a test house and air measurements as a reference. The study explores alternatives in the 3D design platform’s frame to display and compute ACH and parametrically generate surfaces where air velocities are computed. The paper also discusses the effectiveness of the reference building’s natural ventilation by analyzing the CFD outputs. The proposed approach assists the practical use of CFD by designers, providing detailed information about the numerical model, as well as enabling the means to generate the cases, visualize, and post-process the results.

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Section: Reference Building and Wind Velocities Measurementsmentioning

confidence: 99%

“…Each of these dominant incident wind directions corresponds to a building rotation angle that, together with its respective wind speed, configured a unique CFD model. in the study, the experimental protocol, and the measurement equipment, can be found in Reference [78].…”

Section: Wind Data Input For Cfd Simulationsmentioning

confidence: 99%

Using CFD to Evaluate Natural Ventilation through a 3D Parametric Modeling Approach

et al. 2021

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“… The detailed data related to the EnergyPlus model guarantees a better and deeper understanding of the building addressed in the research paper [1] , grounding the study developed and providing more information to aid in reading the paper. Both building modelling and simulation are performed using EnergyPlus software.…”

Section: Value Of the Datamentioning

confidence: 99%

“…Besides, the EnergyPlus input data files (.idf) are available for download in the Mendeley repository [2] , and the link can be found in the Specifications table/ Data accessibility. The files supplied include: the calibration (a) and the annual analysis (b) models, which are summarized in Table 1 .…”

Section: Data Descriptionmentioning

confidence: 99%

Dataset of the EnergyPlus model used in the assessment of natural ventilation potential through building simulation

et al. 2021

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The data set compiled in this file refers to the Multizone EnergyPlus model, used in the investigations of the research article entitled "Natural ventilation potential from weather analyses and building simulation". The technical information regarding the model has been grouped into tables, which include: the general simulation settings, the properties of the building materials, the Airflow Network opening settings used in the annual investigation, in addition to the controls established in the Energy Management System (EMS) for hybrid ventilation system operation. The user behaviour, regarding the living and bedrooms occupancy schedule, is also presented in a graph. This data set is made available to the public to clarify details of the EnergyPlus model and how the hybrid operation was defined. In this way, other researchers can perform an extended analysis of the information.

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“…Moreover, the complete settings of the E+ model, including the occupancy schedule and the .idf file, are available in the Data in Brief article [93]. Based on a one-week monitoring campaign (19-25 August 2014), an E+ numerical model was created, calibrated, and used to perform annual energy and natural ventilation assessments in [91,92], which also provide a detailed description of the measurement equipment, experimental protocol, construction, and the climatic data recorded on-site and used at the simulation. Moreover, the complete settings of the E+ model, including the occupancy schedule and the .idf file, are available in the Data in Brief article [93].…”

Section: Base-case Building Modelmentioning

confidence: 99%

Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance

et al. 2021

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Performance-based design using computational and parametric optimization is an effective strategy to solve the multiobjective problems typical of building design. In this sense, this study investigates the developing process of parametric modeling and optimization of a naturally ventilated house located in a region with well-defined seasons. Its purpose is to improve its thermal comfort during the cooling period by maximizing Natural Ventilation Effectiveness (NVE) and diminishing annual building energy demand, namely Total Cooling Loads (TCL) and Total Heating Loads (THL). Following a structured workflow, divided into (i) model setting, (ii) Sensitivity Analyses (SA), and (iii) Multiobjective Optimization (MOO), the process is straightforwardly implemented through a 3D parametric modeling platform. After building set up, the input variables number is firstly reduced with SA, and the last step runs with an innovative model-based optimization algorithm (RBFOpt), particularly appropriate for time-intensive performance simulations. The impact of design variables on the three-performance metrics is comprehensively discussed, with a direct relationship between NVE and TCL. MOO results indicate a great potential for natural ventilation and heating energy savings for the residential building set as a reference, showing an improvement between 14–87% and 26–34% for NVE and THL, respectively. The approach meets the current environmental demands related to reducing energy consumption and CO2 emissions, which include passive design implementations, such as natural or hybrid ventilation. Moreover, the design solutions and building orientation, window-to-wall ratio, and envelope properties could be used as guidance in similar typologies and climates. Finally, the adopted framework configures a practical and replicable approach for studies aiming to develop high-performance buildings through MOO.

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Natural ventilation potential from weather analyses and building simulation

Cited by 37 publications

References 62 publications

Using CFD to Evaluate Natural Ventilation through a 3D Parametric Modeling Approach

Using CFD to Evaluate Natural Ventilation through a 3D Parametric Modeling Approach

Dataset of the EnergyPlus model used in the assessment of natural ventilation potential through building simulation

Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance

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