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Predictive heating load management and energy flexibility analysis in residential sector using an archetype gray-box modeling approach: Application to an experimental house in Québec. 使用原型灰箱建模方法对住宅部门的供热负荷管理和能源灵活性进行预测分析:应用于魁北克省的一栋实验房屋。
IF 1.8 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-11-01 Epub Date: 2024-09-20 DOI: 10.1177/17442591241267833
Matin Abtahi, Andreas Athienitis, Benoit Delcroix

This paper presents a methodology to develop archetype gray-box models and use them in an economic model-based predictive control algorithm to simulate optimal heating load management in response to a newly-introduced static time-of-use tariff for Québec's residential sector, rate Flex-D. The methodology is evaluated through a case study, wherein in situ measurements from a two-storey unoccupied research house of Hydro-Québec are used to develop an 11R6C network with a heuristic zoning-by-floor approach and compute the sequence of optimal electric heating input for the next control horizon. Properly-tuned economic model-based predictive control under rate Flex-D shows potential for an approximately 30% reduction in daily heating cost compared to the reference operation, with a minimal average deviation of indoor air temperature from the reference setpoint. Also, the analysis of the response's sensitivity to weather forecast uncertainties indicates that the most influential uncontrolled input directing the performance of economic model-based predictive control is the structure price signal, rendering the impact of uncertainty in the weather forecast negligible.

本文介绍了一种开发原型灰盒模型的方法,并将其用于基于经济模型的预测控制算法,以模拟针对魁北克省住宅部门新引入的静态分时电价 Flex-D 的最佳供热负荷管理。通过案例研究对该方法进行了评估,其中使用了魁北克水电公司一栋两层无人居住的研究用房的现场测量数据,以启发式的逐层分区方法开发了一个 11R6C 网络,并计算了下一个控制周期的最佳电加热输入序列。在费率 Flex-D 条件下,经过适当调整的基于经济模型的预测控制显示,在室内空气温度与参考设定点的平均偏差最小的情况下,与参考运行方式相比,每天的供暖成本有可能降低约 30%。此外,对响应对天气预报不确定性的敏感性分析表明,对基于经济模型的预测控制性能影响最大的非受控输入是结构价格信号,因此天气预报不确定性的影响可以忽略不计。
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引用次数: 0
A review of complex window-glazing systems for building energy saving and daylight comfort: Glazing technologies and their building performance prediction 综述用于建筑节能和日光舒适的复合玻璃窗系统:玻璃技术及其建筑性能预测
IF 2 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-09-14 DOI: 10.1177/17442591241269182
Xue Li, Yupeng Wu
The increasing energy consumption and detrimental CO2 emissions contributing to global warming underscore the urgent necessity for energy conservation, especially within buildings. Among different building components, fenestration plays a pivotal role as it accounts for the majority of heat transfer across the building envelope. This emphasises the significance of window-glazing technologies in enhancing their thermal performance. Furthermore, window-glazing systems can lead to overheating issues, particularly in summer, and glare issues, especially in winter. These challenges have spurred the development of various advanced glazing systems. This paper provides a comprehensive review of these advanced glazing technologies based on their functionalities and working principles, with a focus on parameters such as U-value, solar heat gain coefficient and visible transmittance. Among these technologies, vacuum and aerogel glazing systems exhibit superior thermal insulation properties, with U-values below 1 W/m2 K, making them suitable for heating-dominated climates. Smart window systems, such as electrochromic windows, are ideal for cooling-dominated climates due to their low solar heat gain coefficient (0.09–0.47) and visible transmittance (0.02–0.62). Photovoltaic window systems not only provide effective thermal insulation and solar shading but also produce additional power for on-site use. Some of these glazing systems feature complex structures, which present challenges when integrating them into existing building simulation software to assess their impact on building performance. Therefore, this paper also examines techniques for conducting energy and daylight performance simulations for buildings that make use of complex window systems. Ultimately, the authors propose an approach to characterise the thermal, optical and electrical properties of a complex photovoltaic window system within existing building simulation software, such as EnergyPlus. This approach facilitates a thorough investigation into the effects of complex window systems on building energy efficiency and indoor comfort.
日益增长的能源消耗和导致全球变暖的有害二氧化碳排放凸显了节能的紧迫性,尤其是在建筑内部。在不同的建筑构件中,玻璃窗起着关键作用,因为它占了整个建筑围护结构热量传递的绝大部分。这就强调了玻璃窗技术在提高建筑物热性能方面的重要性。此外,玻璃窗系统还可能导致过热问题(尤其是在夏季)和眩光问题(尤其是在冬季)。这些挑战推动了各种先进玻璃系统的发展。本文根据这些先进玻璃技术的功能和工作原理对其进行了全面评述,重点关注 U 值、太阳辐射热获得系数和可见光透过率等参数。在这些技术中,真空和气凝胶玻璃系统具有卓越的隔热性能,其 U 值低于 1 W/m2 K,适用于以采暖为主的气候。电致变色窗等智能窗系统具有较低的太阳辐射热获得系数(0.09-0.47)和可见光透射率(0.02-0.62),因此非常适合以制冷为主的气候。光伏窗系统不仅能有效隔热和遮阳,还能产生额外的电力供现场使用。其中一些玻璃系统结构复杂,在将其集成到现有建筑模拟软件以评估其对建筑性能的影响时面临挑战。因此,本文还研究了对使用复杂玻璃窗系统的建筑物进行能源和日照性能模拟的技术。最后,作者提出了一种在现有建筑仿真软件(如 EnergyPlus)中描述复杂光伏窗系统的热学、光学和电学特性的方法。这种方法有助于深入研究复杂窗户系统对建筑能效和室内舒适度的影响。
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引用次数: 0
Wind environment and pollutant dispersion around high-rise buildings with different void space structures 不同空隙结构高层建筑周围的风环境和污染物扩散
IF 2 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-09-04 DOI: 10.1177/17442591241267815
Linyu Meng, Botong Li, Xinhui Si, Chenguang Cao
In modern cities, the designs of high-rise buildings are no longer limited to a simple hexahedron. Void spaces emerge where designers add terraces into the building, setting up leisure areas, wind turbines, fresh air systems, etc. As void space structures have a significant impact on the wind environment and pollutant dispersion around high-rise buildings, this study conducts computational fluid dynamics numerical simulations on six high-rise building models with different void region structures. The findings show that both the position and size of void space structures have significant impacts on the wind environment and pollutant dispersion around high-rise buildings. A wall in the wind path in the void space can reduce the wind force and can lower the pollutant concentration on the leeward side. Therefore, it is deemed advisable to set up a leisure area or sky garden in the leeward of this layer of this structure. In addition, when the void space is located just in the middle of the void region layer, pollutants can easily accumulate on the leeward side. Therefore, a fresh air system should be installed at the leeward side to remove pollutants and wind turbines can be installed in voids with high wind speed to use wind power.
在现代城市中,高层建筑的设计不再局限于简单的六面体。设计师在建筑中加入露台、设置休闲区、风力涡轮机、新风系统等,出现了空隙空间。由于空隙结构对高层建筑周围的风环境和污染物扩散有重要影响,本研究对六种具有不同空隙结构的高层建筑模型进行了计算流体力学数值模拟。结果表明,空隙结构的位置和大小对高层建筑周围的风环境和污染物扩散都有显著影响。在空隙区域的风道上设置一堵墙可以减小风力,降低背风面的污染物浓度。因此,在该层结构的背风处设置休闲区或空中花园是可取的。此外,当空隙正好位于空隙区域层的中间时,污染物很容易在背风面积聚。因此,应在背风面安装新风系统以清除污染物,并在风速较高的空隙安装风力涡轮机以利用风能。
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引用次数: 0
Definition, estimation and decoupling of the overall uncertainty of the outdoor air temperature measurement surrounding a building envelope 建筑围护结构周围室外空气温度测量总体不确定性的定义、估算和解耦
IF 2 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-08-23 DOI: 10.1177/17442591241269195
Catalina Giraldo-Soto, Aitor Erkoreka, Laurent Mora, Amaia Uriarte, Pablo Eguía-Oller, Christopher Gorse
Outdoor air temperature represents a fundamental physical variable that needs to be considered when characterising the energy behaviour of buildings and its subsystems. Research, for both simulation and monitoring, usually assumes that the outdoor air temperature is homogeneous around the building envelope, and when measured, it is common to have a unique measurement representing this hypothetical homogeneous outdoor air temperature. Furthermore, the uncertainty associated with this measurement (when given by the research study) is normally limited to the accuracy of the sensor given by the manufacturer. This research aims to define and quantify the overall uncertainty of this hypothetical homogeneous outdoor air temperature measurement. It is well known that there is considerable variability in outdoor air temperature around the building and measurements are dependent on the physical location of outdoor air temperature sensors. In this research work, this existing spatial variability has been defined as a random error of the hypothetical homogeneous outdoor air temperature measurement, which in turn has been defined as the average temperature of several sensors located randomly around the building envelope. Then, some of these random error sources which induce spatial variability would be the cardinal orientation of the sensor, the incidence of solar radiation, the outdoor air temperature stratification, the speed and variations of the wind and the shadows of neighbouring elements, among others. In addition, the uncertainty associated with the systematic errors of this hypothetical homogeneous outdoor air temperature measurement has been defined as the Temperature Sensor Uncertainty [Formula: see text] where this uncertainty is associated with the sensor’s accuracy. Based on these hypotheses, a detailed statistical procedure has been developed to estimate the overall Temperature Uncertainty [Formula: see text]) of this hypothetical homogeneous outdoor air temperature measurement and the Temperature Sensor Uncertainty [Formula: see text]. Finally, an uncertainty decoupling method has also been developed that permits the uncertainty associated with random errors (Temperature’s Spatial Uncertainty [Formula: see text]) to be estimated, based on [Formula: see text] and [Formula: see text] values. The method has been implemented for measuring the outdoor air temperature surrounding an in-use tertiary building envelope, for which an exterior monitoring system has been designed and randomly installed. The results show that the overall Temperature Uncertainty [Formula: see text] for the whole monitored period is equal to ±2.22°C. The most notable result is that the uncertainty associated with random errors of measurement (Temperature’s Spatial Uncertainty [Formula: see text]) represents more than 99% of the overall uncertainty; while the Temperature Sensor Uncertainty [Formula: see text], which is the one commonly used as the overall uncertainty for the
室外空气温度是描述建筑物及其子系统能源行为时需要考虑的一个基本物理变量。无论是模拟还是监测研究,通常都会假定建筑物围护结构周围的室外空气温度是均匀的。此外,与该测量值相关的不确定性(由研究提供)通常仅限于制造商提供的传感器精度。本研究旨在定义和量化这种假定均质室外空气温度测量的总体不确定性。众所周知,建筑物周围的室外空气温度变化很大,测量结果取决于室外空气温度传感器的实际位置。在这项研究工作中,现有的空间变异性被定义为假定的均匀室外空气温度测量的随机误差,而室外空气温度测量又被定义为随机分布在建筑物外围的多个传感器的平均温度。导致空间变化的一些随机误差源包括传感器的中心方位、太阳辐射入射、室外空气温度分层、风速和变化以及邻近元素的阴影等。此外,与这种假设的同质室外空气温度测量的系统误差有关的不确定性被定义为温度传感器的不确定性[公式:见正文],这种不确定性与传感器的精度有关。根据这些假设,制定了详细的统计程序,以估算该假设同质室外空气温度测量的总体温度不确定度[公式:见正文]和温度传感器不确定度[公式:见正文]。最后,还开发了一种不确定性解耦方法,可根据[公式:见正文]和[公式:见正文]值估算与随机误差相关的不确定性(温度的空间不确定性[公式:见正文])。该方法用于测量在用三级建筑围护结构周围的室外空气温度,为此设计并随机安装了室外监测系统。结果表明,整个监测期间的总体温度不确定性[公式:见正文]等于±2.22°C。最显著的结果是,与随机测量误差相关的不确定性(温度的空间不确定性[计算公式:见正文])占总体不确定性的 99% 以上;而温度传感器不确定性[计算公式:见正文],即通常用作室外空气温度测量的总体不确定性,则占不到 1%。
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引用次数: 0
Hygrothermal risk assessment tool for brick walls in a changing climate 不断变化的气候条件下砖墙的湿热风险评估工具
IF 2 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-08-12 DOI: 10.1177/17442591241266484
Kaat Janssens, Isabeau Vandemeulebroucke, Valentina Marincioni, Nathan Van Den Bossche
Due to the heritage value of historical buildings, external facades can often not be modified. Therefore, in heritage buildings interior insulation is often considered when undergoing an energy renovation. However, interior retrofitting drastically changes the hygrothermal behaviour of a wall and can potentially cause moisture-related problems. Besides an interior retrofit, a changing climate might also trigger some of these damage mechanisms as parameters such as temperature and precipitation will change over time. Hygrothermal models can provide relevant insights into the risk of deterioration associated with these damage phenomena. However, these Heat, Air and Moisture (HAM) tools are commercially available but rarely used in the building industry to study deterioration risks. Translating research into practical tools and guidelines is a challenge across the whole field of building renovation. This paper aims to tackle that challenge, by means of creating a hygrothermal risk assessment tool based on 48,384 HAM-simulations for the climate of Brussels, Belgium. Seven different performance criteria are addressed and discussed: freeze-thaw damage, mould growth, wood rot, corrosion, moisture accumulation, salt efflorescence and bio-colonisation. Subsequent to a sensitivity analysis, the study further explains how these results can be translated into practice, providing building practitioners the most suitable insights and recommendations. The development of an interactive web tool to assess hygrothermal risks is demonstrated and its use and benefits are further elaborated.
由于历史建筑具有文物价值,其外立面通常不能进行改造。因此,在对历史建筑进行能源改造时,通常会考虑内部隔热。然而,内部改造会极大地改变墙体的湿热性能,并可能引发与湿气相关的问题。除了室内改造之外,气候的变化也可能引发其中一些破坏机制,因为温度和降水等参数会随着时间的推移而发生变化。湿热模型可以提供与这些破坏现象相关的劣化风险的相关见解。然而,这些热量、空气和湿度(HAM)工具在市场上可以买到,却很少用于建筑行业的老化风险研究。将研究成果转化为实用工具和指南是整个建筑翻新领域面临的挑战。本文旨在应对这一挑战,以比利时布鲁塞尔的气候为基础,通过 48,384 次 HAM 模拟,创建湿热风险评估工具。本文讨论了七种不同的性能标准:冻融破坏、霉菌生长、木材腐烂、腐蚀、湿度累积、盐分渗出和生物菌落。在进行了敏感性分析之后,该研究进一步解释了如何将这些结果转化为实践,为建筑从业人员提供最合适的见解和建议。研究还展示了用于评估湿热风险的交互式网络工具的开发过程,并进一步阐述了该工具的用途和优点。
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引用次数: 0
A comparative study of machine learning methods for identifying the 15 CIE standard skies 识别 15 种 CIE 标准天空的机器学习方法比较研究
IF 2 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-08-05 DOI: 10.1177/17442591241266836
Emmanuel I Aghimien, Danny HW Li, Ernest KW Tsang, Favour D Agbajor
For energy-efficient building designs, the solar irradiance and daylight illuminance derived from the CIE standard skies are useful. Over time, the sky luminance distributions have been used to identify these standard skies, but these are sparingly measured. Thus, the use of available climatic variables has become a viable alternative. Nevertheless, it is necessary to determine if these climatic variables could correctly identify these skies. This study addresses the lack of luminance distribution measurement by classifying the standard skies using measured climatic data in Hong Kong. The classification approach was improved by using the machine learning (ML) method. For comparative analysis, five popular ML classification algorithms i.e., decision tree (DT), k-nearest neigbhour (KNN), light gradient boosting machine (LGBM), random forest (RF) and support vector machines (SVM) were used. The findings show that accuracies of 68.1, 73.1, 74.3, 74.5, and 75.4% were obtained for the DT, KNN, SVM, LGBM, and RF models, respectively. Similarly, the F1 scores were 66.6, 70.2, 71.8, 72.1 and 72.9%, for the DT, KNN, SVM, LGBM, and RF models. The result shows that the RF model gave the best performance while DT performed the least. Also, the obtained accuracies and F1 scores show that all models would classify the standard skies with reasonable accuracy. Furthermore, feature importance was done, and it was found that Kd, Tv, Kt, α, sun, and cld are the most important input parameters for sky classification. Lastly, vertical solar irradiance ( GVT) and illuminance ( GVL) were estimated using the skies predicted by the proposed models. Upon predictions, it was observed that the GVT ranged from 14.7 to 24.6% while the GVL from 13.8 to 19.9%. Generally, most of the predictions were less than 20%, which shows good predictions were obtained from the models.
对于节能建筑设计而言,根据 CIE 标准天空得出的太阳辐照度和日光照度非常有用。随着时间的推移,天空亮度分布已被用来确定这些标准天空,但这些标准天空很少被测量。因此,使用现有的气候变量已成为一种可行的替代方法。不过,有必要确定这些气候变量能否正确识别这些天空。本研究利用香港测量到的气候数据对标准天空进行分类,以解决缺乏亮度分布测量的问题。使用机器学习(ML)方法改进了分类方法。在比较分析中,使用了五种常用的 ML 分类算法,即决策树 (DT)、k-nearest neigbhour (KNN)、光梯度提升机 (LGBM)、随机森林 (RF) 和支持向量机 (SVM)。结果显示,DT、KNN、SVM、LGBM 和 RF 模型的准确率分别为 68.1%、73.1%、74.3%、74.5% 和 75.4%。同样,DT、KNN、SVM、LGBM 和 RF 模型的 F1 分数分别为 66.6、70.2、71.8、72.1 和 72.9%。结果表明,RF 模型的性能最佳,而 DT 模型的性能最低。同时,获得的准确率和 F1 分数表明,所有模型都能以合理的准确率对标准天空进行分类。此外,还进行了特征重要性分析,结果发现 Kd、Tv、Kt、α、sun 和 cld 是天空分类最重要的输入参数。最后,利用拟议模型预测的天空估算了垂直太阳辐照度(GVT)和照度(GVL)。预测结果显示,太阳垂直辐照度从 14.7% 到 24.6% 不等,而照度从 13.8% 到 19.9% 不等。一般来说,大多数预测结果都小于 20%,这表明模型获得了良好的预测结果。
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引用次数: 0
Numerical and experimental analysis of building walls thermal performance 建筑墙体热性能的数值和实验分析
IF 2 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-07-25 DOI: 10.1177/17442591241254789
Joelle Al Fakhoury, Emilio Sassine, Yassine Cherif, Joseph Dgheim, Emmanuel Antczak
The building sector represents a significant proportion of the world’s energy consumption and greenhouse gas emissions. One of the possible contributions to reducing this problem is to improve the energy performance of buildings by acting on their envelope and systems. Consequently, the aim of this work is to develop an experimental and numerical methods for characterizing the thermal performance of a concrete masonry hollow wall, in order to propose a new configuration that can be used to improve its thermal performance. First, this study focuses on the thermal performance of different wall configurations. Then, each case studied at wall scale, was modeled, and simulated in 3D using COMSOL Multiphysics® software under the same conditions, properties and dimensions as the one tested experimentally. Finally, this analysis was applied to a real building in Lebanon, consisting of hollow concrete masonry walls, to study its energy and thermal requirements. The conclusions showed that the numerical and experimental results proposed for the hollow masonry block wall confirm a good match. This validates the value of this method in the construction sector by proposing new methods for improving its thermal and energy performance.
建筑行业在全球能源消耗和温室气体排放中占有很大比例。要减少这一问题,其中一个可能的办法就是通过改善建筑物的围护结构和系统来提高建筑物的能效。因此,这项工作的目的是开发一种实验和数值方法来表征混凝土砌体空心墙的热性能,从而提出一种可用于改善其热性能的新结构。首先,本研究重点关注不同墙体结构的热性能。然后,在与实验测试相同的条件、属性和尺寸下,使用 COMSOL Multiphysics® 软件对每种墙体结构进行建模和三维模拟。最后,将该分析应用于黎巴嫩的一栋由空心混凝土砌体墙组成的真实建筑,以研究其能源和热能需求。结论显示,针对空心砌块墙提出的数值结果和实验结果证明两者非常吻合。这验证了该方法在建筑领域的价值,提出了改善其热能和能源性能的新方法。
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引用次数: 0
Development of mathematical correlations to predict performance of forced ventilated Photovoltaic-DSF system in hot composite climate 开发数学相关性以预测高温复合气候下强制通风光伏-DSF 系统的性能
IF 2 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-06-25 DOI: 10.1177/17442591241247327
Sajan Preet, Sanjay Mathur, Jyotirmay Mathur, Manoj Kumar Sharma, Amartya Chowdhury
Performance of Photovoltaic-double skin façade (Photovoltaic-DSF) system in summer has been critical. Owing to high solar ingress, cooling requirement of a building significantly increases. Photovoltaic-DSF system provides a shield and controls the heat gain through fenestration in the interior spaces. In the present article, mathematical correlations are developed to analyse energy behaviour of forced-ventilated Photovoltaic-DSF system in India’s hot summer zone, that is, Jaipur. The Photovoltaic-DSF system has been installed and monitored for Jaipur’s summer months (May to July). L25 Orthogonal array of design parameters (air cavity thickness, air velocity and PV panel’s transparency) and their respective levels have been developed using Taguchi design to perform experiments. Based on experimental results, multiple linear regression has been used to forecast solar heat gain coefficient, PVs electrical power and daylighting illuminance indoors as function of design factors. The statistical significance of mathematical relationships is supported by variance analysis, which is found to be in good accord with field measurements ( R2 > 0.90). The proposed correlations are pragmatic in designing Photovoltaic-DSF systems for hot summer conditions. The Photovoltaic-DSF system with 30% transmittance and air velocity of 5 m/s in 200 mm air cavity thickness achieved maximum energy performance in hot summers.
光伏双层幕墙(Photovoltaic-DSF)系统在夏季的表现至关重要。由于太阳辐射强,建筑物的制冷需求大大增加。光伏双层幕墙系统可提供遮挡,并通过室内空间的玻璃窗控制热量的吸收。本文通过数学关联分析了印度夏季炎热地区(斋浦尔)的强制通风光伏-DSF 系统的能源特性。在斋浦尔的夏季月份(5 月至 7 月)安装并监测了光伏-DSF 系统。利用田口设计开发了 L25 正交阵列设计参数(气腔厚度、气流速度和光伏板透明度)及其各自的水平,以进行实验。根据实验结果,利用多元线性回归预测了太阳辐射热获得系数、光伏发电功率和室内日光照度与设计因素的函数关系。方差分析支持了数学关系的统计意义,发现其与现场测量结果(R2 > 0.90)十分吻合。所提出的相关关系在设计夏季炎热条件下的光伏-DSF 系统时非常实用。光电-DSF 系统的透光率为 30%,气流速度为 5 米/秒,气腔厚度为 200 毫米,在炎热的夏季实现了最大的能源性能。
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引用次数: 0
Computational and experimental analysis of PCM-infused brick for sustainable heat regulation 用于可持续热调节的注入 PCM 砖的计算和实验分析
IF 2 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-06-24 DOI: 10.1177/17442591241255966
Amira Dellagi, Rabeb Ayed, Salwa Bouadila, AmenAllah Guizani
Examining the thermodynamics of phase change materials (PCMs) when merged into construction materials is a significant subject within the realm of building science and environmental responsibility. When infused to construction materials like bricks, PCMs have the capacity to elevate a building’s temperature regulation by minimizing the energy required for thermal contentment. This research is dedicated to learn about the thermal conduct and the consequences of the fusion of calcium chloride hexahydrate mineral (CCHPCM) within the pores of a masonry unit. To achieve this, we implemented a practical testing specifically designed to scrutinize how CCHPCMs alter the thermal performance of studied compounds. Multiple configurations were designed by adjusting the arrangement of CCHPCM within the bricks, resulting in three distinct setups. The first set involved filling one row of the bricks, the second set entailed filling two rows, and the final configuration entailed filling all the pores with PCM. Additionally, a computational modeling was executed to survey the thermic behavior of bricks infused with CCHPCM, operating with COMSOL Multiphysics application program. The elaborated work concluded to having an enhancement of the brick’s thermal storage capacity, for Set-3, in which all rows of bricks are filled with PCM, a delay of 2 h is observed compared to Set-0 the brick without CCHPCM. This simulation also encompassed comparative findings regarding the thermal performance of CCHPCM when incorporated into the masonry unit. Overall, this study supplied the valorization of CCHPCMs infused in masonry units and their usage in distinct layouts on upgrading its candidature to achieving environmental responsibility.
研究相变材料(PCM)与建筑材料结合时的热力学,是建筑科学和环境责任领域的一个重要课题。在砖块等建筑材料中注入相变材料后,相变材料可以最大限度地减少热满足所需的能量,从而提高建筑物的温度调节能力。本研究致力于了解六水氯化钙矿物(CCHPCM)在砌体单元孔隙中的热传导和融合后果。为此,我们专门进行了一次实际测试,以仔细研究 CCHPCM 如何改变所研究化合物的热性能。我们通过调整 CCHPCM 在砖块中的排列设计了多种配置,最终形成了三种不同的设置。第一种配置是填充一排砖,第二种配置是填充两排砖,最后一种配置是用 PCM 填充所有孔隙。此外,还利用 COMSOL Multiphysics 应用程序进行了计算建模,以研究注入 CCHPCM 的砖块的热行为。详细的研究结果表明,Set-3(砖的所有行都填充了 PCM)提高了砖的蓄热能力,与不含 CCHPCM 的 Set-0 砖相比,蓄热时间延迟了 2 小时。该模拟还包含有关 CCHPCM 与砌体单元结合后热性能的比较结果。总之,这项研究为砌体单元中注入 CCHPCM 及其在不同布局中的使用提供了价值,从而提升了其实现环境责任的候选资格。
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引用次数: 0
Energy efficiency of ecological buildings in Tunisia: Natural fiber composites and passive strategies impact 突尼斯生态建筑的能效:天然纤维复合材料和被动策略的影响
IF 2 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-05-04 DOI: 10.1177/17442591241246053
Hela Guesmi, Meriem Soussi, Fakhreddine Abbassi, Ali Adili, Leila Dehmani
Improving the thermal insulation and energy efficiency of building envelopes is a major objective worldwide and has significantly developed in the recent years. This study aims to evaluate the impact of ecological additive and passive strategies on building energy efficiency. An experimental study was carried out to examine the effect of the incorporation of treated Alfa and Posidonia-Oceanica fibers on the thermal properties of cement and gypsum composite samples. The experimental results were then introduced in a numerical study using TRNSYS software to perform a comparison of the energy efficiency and thermal performance of three individual buildings; two ones constructed with our ecological materials and the third one with typical materials is considered as a reference case under the Tunisian climate. The obtained results indicate that the buildings built with Alfa fibers (BAF) and Posidonia-Oceanica fibers (BPOF) are economically effective since they allow a decrease of about 48.20% and 43.48% in heating, 45.71% and 42.77% in cooling, leading to a reduction in CO2 emission of 47.90% and 43.40%, respectively, in comparison with the reference case. The investigation also focuses on the improvement of the ecological building envelope by a storage wall integrated on the south front and shaded by solar movable overhangs during the summer season. The indoor climate results reveal that incorporating passive strategies into the building improves indoor air temperature and preserves a comfortable indoor relative humidity. Heating requirements decrease by 82.82% for BAF and by 79.76% for BPOF. The cooling requirements of the reference building are also reduced by 63.46% for BAF and 60.45% for BPOF by the use of natural night ventilation (4 ACH) and the appropriate shading for Trombe walls and windows. Consequently, the implementation of passive strategies on the ecological buildings led to a net reduction in CO2 emissions by up to 80.55% for BAF, compared to the reference case.
提高建筑围护结构的隔热性能和能源效率是全世界的一个主要目标,近年来在这方面取得了长足的发展。本研究旨在评估生态添加剂和被动策略对建筑能效的影响。研究人员开展了一项实验研究,以考察加入经处理的阿尔法纤维和 Posidonia-Oceanica 纤维对水泥和石膏复合材料样品热性能的影响。实验结果随后被引入到使用 TRNSYS 软件进行的数值研究中,对三栋独立建筑的能效和热性能进行了比较;其中两栋建筑使用了我们的生态材料,第三栋使用了典型材料,被视为突尼斯气候条件下的参考案例。研究结果表明,使用阿尔法纤维(BAF)和波西多尼亚-大洋洲纤维(BPOF)建造的建筑具有很高的经济效益,因为与参考案例相比,它们的供热量分别减少了 48.20% 和 43.48%,制冷量分别减少了 45.71% 和 42.77%,二氧化碳排放量分别减少了 47.90% 和 43.40%。调查还重点关注了通过在南侧正面安装蓄热墙,并在夏季使用太阳能活动遮阳板遮阳来改善生态建筑围护结构的问题。室内气候结果表明,在建筑中采用被动式策略可以提高室内空气温度,保持舒适的室内相对湿度。BAF 的供暖需求减少了 82.82%,BPOF 减少了 79.76%。通过使用夜间自然通风(4 ACH)和适当的 Trombe 墙和窗户遮阳,参考建筑的制冷需求在 BAF 和 BPOF 分别减少了 63.46% 和 60.45%。因此,与参考案例相比,在生态建筑中实施被动式策略可使 BAF 的二氧化碳排放量净减少 80.55%。
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Journal of Building Physics
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