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Experimental study and simulation of a solid desiccant cooling system installed in northern Algeria 阿尔及利亚北部安装的固体干燥剂冷却系统的实验研究与模拟
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-24 DOI: 10.1016/j.enbuild.2024.114943
An experimental investigation of a solid desiccant cooling system for a research laboratory on the Algerian coast has been carried out. The system utilized flat-plate solar collectors for regeneration and was evaluated through a combination of individual component characterization, system modeling (using TRNSYS), and experimental validation. The results obtained have been validated and show that the efficiency of the rotary heat exchanger reached 65 %, the evaporative humidifier efficiency reached 94 %, and the desiccant wheel achieved efficiencies of 73 % on the process side and 66 % on the regeneration side. This translates to a significant dehumidification effect, reducing absolute humidity in the treated air by 9 g/kg, for the supply air temperature effectively maintained at a comfortable 24 °C. The close agreement between the simulated and experimental COP values (1.13 and 1.08, respectively) validates the chosen approach and confirms the potential of this technology for energy-efficient building cooling in the hot and humid Mediterranean climate of northern Algeria.
对阿尔及利亚海岸研究实验室的固体干燥剂冷却系统进行了实验研究。该系统利用平板太阳能集热器进行再生,并通过单个组件特征描述、系统建模(使用 TRNSYS)和实验验证相结合的方式进行评估。验证结果表明,回转式热交换器的效率达到 65%,蒸发式加湿器的效率达到 94%,干燥轮的处理效率达到 73%,再生效率达到 66%。这意味着除湿效果显著,在供气温度有效保持在舒适的 24 °C 时,处理后空气的绝对湿度降低了 9 克/千克。模拟 COP 值和实验 COP 值(分别为 1.13 和 1.08)之间的接近一致验证了所选择的方法,并证实了该技术在阿尔及利亚北部炎热潮湿的地中海气候条件下用于节能建筑制冷的潜力。
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引用次数: 0
Optimal scheduling strategy of household electrical equipment based on scenario dynamic modeling 基于情景动态建模的家用电器设备优化调度策略
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-24 DOI: 10.1016/j.enbuild.2024.114945
Household electricity is highly unpredictable, necessitating a deep understanding of its impact on energy scheduling for optimal resource allocation and economic gains. This issue’s complexity can lead traditional optimization methods to converge on suboptimal solutions. In this study, the dynamic Copula (DC) model is used to construct the dynamic correlation between power consumption characteristics, and the Monte Carlo (MC) method is used to generate multiple power consumption scenarios to cope with the uncertainty of user behavior. Then, the optimal scenario set is selected through the average distribution error (ADE) to participate in the subsequent scheduling. In addition, based on the established equipment operation characteristic model, the electricity cost and load peak-to-average ratio (PAR) are comprehensively considered. The Improved Dynamic search multi-objective particle swarm optimization (IDSMOPSO) is introduced to optimize the running time of the equipment. Taking the electricity consumption of a family in Xi’an as an example, the results show that the algorithm is significantly better than the other two improved algorithms in performance. Meanwhile, the electricity cost of the family was significantly reduced by 17.09 %, and the PAR value was also reduced by 31.59 %, which realized the economic operation of household electricity.
家庭用电具有很强的不可预测性,因此需要深入了解其对能源调度的影响,以优化资源配置,提高经济效益。这一问题的复杂性会导致传统优化方法收敛于次优解。本研究采用动态 Copula(DC)模型构建功耗特征之间的动态相关性,并采用蒙特卡罗(MC)方法生成多个功耗场景,以应对用户行为的不确定性。然后,通过平均分布误差(ADE)选择最优场景集参与后续调度。此外,基于已建立的设备运行特性模型,综合考虑了电费和负荷峰均比(PAR)。引入改进动态搜索多目标粒子群优化(IDSMOPSO)来优化设备的运行时间。以西安某家庭用电为例,结果表明该算法在性能上明显优于其他两种改进算法。同时,该家庭的电费大幅降低了 17.09%,PAR 值也降低了 31.59%,实现了家庭用电的经济运行。
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引用次数: 0
Hybrid building energy modeling method with parameterized prototype models and rapid calibration 采用参数化原型模型和快速校准的混合建筑节能建模方法
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-24 DOI: 10.1016/j.enbuild.2024.114948
Building energy models were widely used in building energy performance analysis and efficiency improvement, such as building demand response assessment and energy system optimization. However, building energy modeling was a time-consuming and complex process. Therefore, this paper proposed a hybrid building energy modeling method based on parameterized prototype models and rapid calibration. The main feature of the method was the rapid generation of target building energy models using the prototype building energy performance database. The parameterized prototype building energy model considered 13 uncertainty parameters. Based on the range of 13 uncertainty parameters, such as wall U-value and solar heat gain coefficient, 1000 simulations were performed by Monte Carlo sampling to generate the prototype building energy performance database. The target building energy model was quickly calibrated by learning from this database. It filtered the models that met the requirements based on the actual building measurement data. Based on this hybrid modeling method, the rapid modeling tool AutoBPS-Hybrid was developed in a ruby environment. Shopping mall buildings located in three different climate zones were selected as case studies for this study. The results showed that if only one building energy model meeting the percentage errors was needed, only 3–4 simulations were required. If it was necessary to match the real uncertainty parameter distributions, an average of about 53 simulations was needed. The building energy models were applied to plug load and lighting control in buildings. The shopping mall buildings in Harbin, Beijing and Chengdu could reduce energy consumption by 10.18–13.33 kWh/m2, 14.43–18.15 kWh/m2 and 11.54–14.69 kWh/m2 per year, respectively.
建筑能源模型被广泛应用于建筑能源性能分析和效率改进,如建筑需求响应评估和能源系统优化。然而,建筑能耗建模是一个耗时且复杂的过程。因此,本文提出了一种基于参数化原型模型和快速校准的混合建筑能源建模方法。该方法的主要特点是利用原型建筑能源性能数据库快速生成目标建筑能源模型。参数化原型建筑能耗模型考虑了 13 个不确定参数。根据墙体 U 值和太阳辐射得热系数等 13 个不确定参数的范围,通过蒙特卡罗抽样法进行了 1000 次模拟,生成了原型建筑能效数据库。通过对数据库的学习,目标建筑能耗模型得到了快速校准。它根据实际建筑测量数据筛选出符合要求的模型。基于这种混合建模方法,在 ruby 环境中开发了快速建模工具 AutoBPS-Hybrid。本研究选择了位于三个不同气候区的购物中心建筑作为案例。结果表明,如果只需要一个符合百分比误差的建筑能源模型,则只需要 3-4 次模拟。如果需要与真实的不确定性参数分布相匹配,则平均需要进行约 53 次模拟。建筑能源模型被应用于建筑物的插头负载和照明控制。哈尔滨、北京和成都的购物中心建筑每年可分别减少 10.18-13.33 kWh/m2、14.43-18.15 kWh/m2 和 11.54-14.69 kWh/m2的能耗。
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引用次数: 0
Empowering energy management in smart buildings: A comprehensive study on distributed energy storage systems for Sustainable consumption 增强智能建筑的能源管理:面向可持续消费的分布式储能系统综合研究
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-24 DOI: 10.1016/j.enbuild.2024.114953
The increment of photovoltaic generation in smart buildings and energy communities makes the use of energy storage systems desired to increase the self-consumption efficiency. This paper proposes and explores a model for energy storage systems management that considers local renewable generation, local demand, and retailer energy prices. The proposed model was tested at both energy community-level and the smart building level, demonstrating their capabilities of deployment. To validate the proposed model, a case study with two scenarios, including a 251 members energy community, was executed. The results demonstrate significant cost reductions for community members when adopting energy storage systems and the proposed management model. Regarding the smart building application four scenarios were tested, it is demonstrated that the demand for energy from the retailer could be set to zero during periods of time to enable its participation in demand response events. Overall, this paper contributes to the state-of-the-art by identifying and evaluating a model that manages the energy storage systems charge and discharge operation to actively reduce energy costs at the community-level (19.26%) and building level (11.75%) and to demonstrate that part of the loads can be optimized to understand if the building can be energy net-zero.
随着智能建筑和能源社区中光伏发电量的增加,人们希望使用储能系统来提高自我消费效率。本文提出并探索了一种考虑本地可再生能源发电、本地需求和零售商能源价格的储能系统管理模式。本文提出的模型在能源社区和智能建筑层面进行了测试,证明了其部署能力。为了验证所提出的模型,执行了一项包含两种情况的案例研究,其中包括一个有 251 名成员的能源社区。结果表明,采用储能系统和建议的管理模式后,社区成员的成本大幅降低。在智能楼宇应用方面,测试了四种方案,结果表明,零售商的能源需求可以在一段时间内设置为零,以便参与需求响应活动。总之,本文通过确定和评估一个管理储能系统充放电操作的模型,积极降低了社区(19.26%)和楼宇(11.75%)的能源成本,并证明可以优化部分负荷,以了解楼宇是否可以实现零能耗,从而对最新技术做出了贡献。
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引用次数: 0
Renovating Post-First-Energy-Regulation Housing: Achieving Nearly Zero-Energy buildings under typical and extreme warm conditions in a temperate European city 翻新后第一能源法规住房:在欧洲温带城市的典型和极端温暖条件下实现近零能耗建筑
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-24 DOI: 10.1016/j.enbuild.2024.114936
Decarbonising the built environment is essential for achieving the 2050 European objectives. Multi-family buildings comprise nearly half of Europe’s building stock, yet there is no regulation mandating all housing renovations to be Nearly Zero-Energy Buildings (NZEBs). This paper highlights the role of NZEB renovation for residential buildings constructed between the first energy regulations, after the first oil crisis, and the EPBD 2002 implementation (post-first-energy-regulation housing), as a pivotal factor towards energy transition. In Spain, this period (1980–2006) encompasses approximately 45% of existing dwellings. A case study was conducted in a city with a Cfb temperate climate, focusing on the most representative residential typology of the target period: the linear block. The study evaluates its current state and defines potential measures to meet NZEB requirements, achieving zero consumption when renovation of thermal envelope is combined with heat recovery systems, heat pumps, and PV panels.
This research is based on energy simulations for two climate scenarios: the typical meteorological year (TMY, official series 1970–2000) and the most extreme warm year (EWY, 2022) in Spain. Results indicate active cooling systems are necessary for NZEB renovations in Spanish Cfb climates. Furthermore, low-temperature radiators significantly reduce heating consumption, while splits are the most suitable cooling systems. This study shows Spain is not adequately preparing its housing stock to face climate change, as most typical renovation works are based on official weather files that need updating to reflect harsher summer conditions. Finally, the study aims to encourage new policies and enhance existing regulations to address rising temperatures and heatwaves.
建筑环境的去碳化对于实现 2050 年欧洲目标至关重要。多户住宅建筑占欧洲建筑总量的近一半,但目前还没有任何法规强制要求所有住宅翻新都必须采用近零能耗建筑(NZEBs)。本文强调了从第一次石油危机后的第一部能源法规,到 2002 年 EPBD 的实施(第一部能源法规后的住房)期间,住宅建筑的 NZEB 改造作为能源转型的关键因素所发挥的作用。在西班牙,这一时期(1980-2006 年)的住宅约占现有住宅的 45%。我们在一个 Cfb 温带气候城市开展了一项案例研究,重点关注目标时期最具代表性的住宅类型:线性街区。该研究对其现状进行了评估,并确定了满足 NZEB 要求的潜在措施,在结合热回收系统、热泵和光伏板对热围护结构进行改造时,可实现零消耗。该研究基于两种气候情景的能源模拟:西班牙典型气象年(TMY,1970-2000 年官方系列)和最极端温暖年(EWY,2022 年)。结果表明,在西班牙 Cfb 气候条件下,NZEB 装修必须采用主动冷却系统。此外,低温散热器可显著减少供暖消耗,而分体式冷却系统则是最合适的冷却系统。这项研究表明,西班牙并没有为应对气候变化做好充分的住房准备,因为大多数典型的翻新工程都是基于官方天气文件,而这些文件需要更新以反映更恶劣的夏季条件。最后,该研究旨在鼓励制定新政策,加强现有法规,以应对气温升高和热浪。
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引用次数: 0
Implementing of a grid-connected PV energy system in building with medium consumption: A techno- economic case study 在中等能耗建筑中实施并网光伏能源系统:技术经济案例研究
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-23 DOI: 10.1016/j.enbuild.2024.114929
Renewable energy sources facilitate decentralized electricity production, reducing dependence on fossil fuels and contributing to a sustainable energy era. Algeria is one of the countries implementing a policy aimed at energy transition, with buildings playing a major role in this process. They consume more energy than any other sector and therefore significantly contribute to climate change. While various projects related to energy efficiency are being carried out, they are mostly limited to rural and Saharan areas or low-consumption residential buildings. The objective of this paper is to demonstrate the feasibility of integrating a grid-connected photovoltaic system into a medium-consumption building located in one of Algeria’s major cities, Constantine, to meet the building’s electrical energy demand. This paper presents a methodology for optimally sizing a grid-connected photovoltaic system to supply power to the Institute of Nutrition, Food, and Agro-Food Technologies (INATAA) in Constantine, Algeria. The technical and economic aspects of the system’s components were considered to determine the most feasible configuration, using real data from the institute and the HOMER Pro simulation software. The simulation results show that the grid-connected PV system, without storage, can meet the institute’s energy demand (with 671,061 kWh/year of energy produced, of which 81.3 % is photovoltaic energy). This configuration offers the lowest costs, with a Net Present Cost (NPC) of $748,413 and a Cost of Energy (COE) of $0.0894/kWh. Therefore, integration of a grid-connected photovoltaic system in medium-consumption buildings can effectively meet energy needs while reducing costs. Thus, this study demonstrates the technical and economic feasibility of such system to support the energy transition in urban areas in Algeria.
可再生能源有利于分散式发电,减少对化石燃料的依赖,有助于实现可持续能源时代。阿尔及利亚是实施能源转型政策的国家之一,建筑物在这一进程中发挥着重要作 用。建筑消耗的能源比任何其他部门都多,因此对气候变化的影响很大。虽然目前正在开展各种与能源效率有关的项目,但它们大多局限于农村和撒哈拉地区或低耗能的住宅建筑。本文旨在论证将并网光伏系统集成到位于阿尔及利亚主要城市之一君士坦丁的一栋中等能耗建筑的可行性,以满足该建筑的电能需求。本文介绍了一种优化并网光伏系统规模的方法,以向阿尔及利亚君士坦丁市的营养、食品和农产品技术研究所(INATAA)供电。利用该研究所的真实数据和 HOMER Pro 仿真软件,考虑了系统组件的技术和经济方面,以确定最可行的配置。模拟结果表明,并网光伏系统在没有储能的情况下,可以满足研究所的能源需求(年发电量为 671,061 千瓦时,其中 81.3% 为光伏发电)。这种配置的成本最低,净现值成本 (NPC) 为 748,413 美元,能源成本 (COE) 为 0.0894 美元/千瓦时。因此,在中等能耗建筑中集成并网光伏系统可以有效满足能源需求,同时降低成本。因此,这项研究证明了这种系统在支持阿尔及利亚城市地区能源转型方面的技术和经济可行性。
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引用次数: 0
Coordinated price-based control of modulating heat pumps for practical demand response and peak shaving in building clusters 基于价格的调制热泵协调控制,在楼宇群中实现实用的需求响应和削峰功能
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-23 DOI: 10.1016/j.enbuild.2024.114940
With a high share of renewable energy in the power grid, it becomes increasingly difficult to ensure a continuous balance between power generation and consumption, thereby endangering grid stability. A substantial opportunity to address this challenge and align the heating demand with intermittent power production is offered by space heating and domestic hot water, which account for 80% of the energy consumption in buildings. Further research on the control of building clusters is required, where peak load management of multiple buildings can ensure grid stability during peak hours and contribute to avoiding power outages. In this paper, a rule-based controller is presented, called Extended Price Storage Control+ (EPSC+), for the practical and flexible operation of heating systems in a building cluster. Under dynamic pricing, the loads of electric heating devices for the provision of space heating and domestic hot water are shifted by EPSC+ while accounting for peak load constraints. The performance of EPSC+ is evaluated in a nine-week winter simulation study with a building cluster of ten buildings in Germany. For comparison, a hierarchical model predictive controller (MPC) and a hysteresis two-point controller are employed as benchmarks. Results close to those of MPC are achieved by EPSC+by reducing the median peak load by 38.8% and median electricity costs by 15% compared with the hysteresis controller. In contrast to MPC, EPSC+ does not require models, forecasts, or optimization and is computationally inexpensive, rendering it more attainable for real-world implementation.
随着可再生能源在电网中的比例越来越高,确保发电和用电之间的持续平衡变得越来越困难,从而危及电网的稳定性。空间供暖和生活热水是应对这一挑战并使供暖需求与间歇性发电相匹配的一个重要机会,它们占建筑物能耗的 80%。需要进一步研究楼宇集群的控制问题,对多栋楼宇进行峰值负荷管理可确保高峰时段的电网稳定,并有助于避免停电。本文提出了一种基于规则的控制器,称为 "扩展价格存储控制+"(EPSC+),用于楼宇集群中供热系统的实用和灵活运行。在动态定价条件下,EPSC+ 在考虑峰值负荷限制的同时,对用于提供空间供暖和生活热水的电加热设备的负荷进行转移。在为期九周的冬季模拟研究中,对 EPSC+ 的性能进行了评估。为了进行比较,采用了分层模型预测控制器(MPC)和滞后两点控制器作为基准。与滞后控制器相比,EPSC+ 的峰值负荷中位数降低了 38.8%,电费中位数降低了 15%,与 MPC 的结果接近。与 MPC 相比,EPSC+ 不需要模型、预测或优化,而且计算成本低廉,因此更易于在现实世界中实施。
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引用次数: 0
In-situ U-value measurements of typical building envelopes in a severe cold region of China: U-value variations and energy Implications 中国严寒地区典型建筑围护结构的现场 U 值测量:U 值变化和能源影响
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-22 DOI: 10.1016/j.enbuild.2024.114947
Building energy consumption in the severe cold regions of China is an important consideration in building energy conservation because of the high amount of energy consumed by heating. As an important thermal parameter, the thermal transmittance (U-value) of building envelopes can directly affect the operational energy consumption of buildings. Understanding the U-values of buildings in severe cold regions is important to predict building energy accurately. However, the U-values of envelopes fluctuate constantly due to environmental impacts. Therefore, this study aimed to examine the influence of dynamic U-values on building energy efficiency. To achieve this, this study focused on the in-situ measurement of the U-values of two typical building envelopes in Harbin from winter to summer in 2023 to determine the average and dynamic U-values of the tested envelope, comprising a brick envelope and reinforced concrete (RC) envelope. The building energy simulation results based on theoretical U-values were compared with the measured average and dynamic U-values of the tested envelopes. The findings revealed that the fluctuations in the U-values were significant. In the dynamic U-values of tested brick and RC envelopes, the U-values in winter were 159.8% and 30.8% higher than those in summer, respectively. Furthermore, the dynamic U-values significantly influenced heating energy consumption, with an increase of up to 15.9%.
在中国严寒地区,由于采暖能耗较高,建筑能耗是建筑节能的一个重要考虑因素。作为一项重要的热工参数,建筑围护结构的热导率(U 值)会直接影响建筑的运行能耗。了解严寒地区建筑的 U 值对于准确预测建筑能耗非常重要。然而,由于环境影响,围护结构的 U 值会不断波动。因此,本研究旨在探讨动态 U 值对建筑能效的影响。为此,本研究重点对 2023 年哈尔滨市两种典型建筑围护结构从冬季到夏季的 U 值进行了现场测量,以确定测试围护结构(包括砖围护结构和钢筋混凝土(RC)围护结构)的平均 U 值和动态 U 值。基于理论 U 值的建筑能耗模拟结果与测试围护结构的实测平均 U 值和动态 U 值进行了比较。研究结果表明,U 值的波动非常明显。在测试的砖砌围护结构和 RC 围护结构的动态 U 值中,冬季的 U 值分别比夏季高出 159.8% 和 30.8%。此外,动态 U 值对采暖能耗也有很大影响,最多可增加 15.9%。
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引用次数: 0
Statistical characterization of electricity use profile: Leveraging data analytics for stochastic simulation in a smart campus 用电情况的统计特征:利用数据分析进行智慧校园随机模拟
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-22 DOI: 10.1016/j.enbuild.2024.114934
On the path to energy transition, advanced metering infrastructures have been installed in distribution systems to support sustainability goals, generating a substantial volume of electricity consumption data that are essential for planning and management studies. Additionally, given the stochastic nature of electricity consumption, understanding and quantifying statistical properties such as data distribution, normality, stationarity, and autocorrelation are crucial for the development of more sustainable systems and the enhancement of building performance. In this context, this paper presents a statistical methodology for assessing key aspects of electricity consumption in buildings on a smart campus, which is an initiative originated on university campuses that integrates sustainable energy systems, efficient electrical infrastructure, and data-driven technologies to establish a sustainable learning environment. Using 28 months of electricity consumption data from a Brazilian smart campus, Electricity Use Profile models are developed and several hypothesis tests and probability distribution fittings are conducted to extract statistical features from the models of 128 buildings. The results indicate that each building exhibits unique statistical properties that cannot be generalized, emphasizing the need for data analysis for each building before using the data in decision-making processes.
在能源转型的道路上,为支持可持续发展目标,配电系统中安装了先进的计量基础设施,产生了大量对规划和管理研究至关重要的用电数据。此外,考虑到用电量的随机性,了解和量化数据分布、正态性、静态性和自相关性等统计特性对于开发更可持续的系统和提高建筑性能至关重要。在此背景下,本文提出了一种统计方法,用于评估智慧校园中建筑物用电的主要方面。智慧校园是一项起源于大学校园的计划,它整合了可持续能源系统、高效电气基础设施和数据驱动技术,以建立一个可持续的学习环境。利用巴西智慧校园 28 个月的用电数据,开发了用电概况模型,并进行了若干假设检验和概率分布拟合,以从 128 栋建筑的模型中提取统计特征。结果表明,每栋建筑都表现出独特的统计特性,不能一概而论,这就强调了在决策过程中使用数据之前,需要对每栋建筑进行数据分析。
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引用次数: 0
A novel ventilation method: Experimental measurement and numerical simulation of vertical single-row inclined slit ventilation 新颖的通风方法垂直单排斜缝通风的实验测量和数值模拟
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-22 DOI: 10.1016/j.enbuild.2024.114944
Existing ventilation technologies often struggle to balance the limited airflow supply with the demands of indoor ventilation and air circulation in winter. This paper introduces a novel ventilation method, vertical single-row inclined slit ventilation (VSISV), which channels airflow through multiple inclined slits spaced at specific intervals along a vertical supply air duct. By ensuring continuity of the upstream and downstream slit jets, a continuous downward airflow is formed, enhancing both winter ventilation performance and indoor air circulation. The method was experimentally measured, with a focus on comparison to the IJV system. At the same airflow rate, it not only efficiently transports the supply air heat from the upper indoor area to the floor but also exhibits strong horizontal diffusion capability. The RNG turbulence model was selected for numerical simulation, focusing on indoor thermal comfort, air quality, and energy-saving potential. The results indicate that, at the same airflow rate, this method effectively maintains high indoor thermal comfort, directs airflow downward from the ceiling, reduces thermal stratification in the upper zone, achieves a more uniform and elevated indoor temperature, enhances indoor air quality, and demonstrates substantial energy-saving potential. This provides valuable insights for energy conservation, emission reduction, and the optimization in winter building ventilation systems.
现有的通风技术往往难以在有限的气流供应与冬季室内通风和空气流通需求之间取得平衡。本文介绍了一种新颖的通风方法--垂直单排斜缝通风(VSISV),它通过沿垂直送风管道以特定间隔分布的多个斜缝引导气流。通过确保上下游狭缝射流的连续性,形成了连续的向下气流,从而提高了冬季通风性能和室内空气循环。对该方法进行了实验测量,重点是与 IJV 系统进行比较。在相同的气流速度下,它不仅能有效地将室内上部区域的送风热量输送到地板,而且还表现出很强的水平扩散能力。选择 RNG 湍流模型进行数值模拟,重点关注室内热舒适度、空气质量和节能潜力。结果表明,在相同的气流速率下,这种方法能有效保持较高的室内热舒适度,引导气流从天花板向下流动,减少上部区域的热分层,实现更均匀、更高的室内温度,提高室内空气质量,并显示出巨大的节能潜力。这为节能减排和优化冬季建筑通风系统提供了宝贵的启示。
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