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Field investigations on operational performance of a novel radiant floor heating equipment applied in a typical office building 一种新型地板辐射供暖设备在典型办公楼中应用的现场调查
IF 1.7 4区 工程技术 Q2 Engineering Pub Date : 2021-10-25 DOI: 10.1177/01436244211040685
Guinan Qiao, Yu Wang, Haiyang Yu, Yanju Li, Chunmei Guo
Low-temperature radiant heating systems are widely used in buildings with significant energy conservation, and they are convenient for the utilization of low-grade energy resources and household metering. In this study, the practical application of a novel radiant floor heating system (RFHS) in cold regions is investigated via construction of an experimental platform for energy consumption and thermal comfort in an office building in Tianjin, China. The results indicated that the novel radiant floor exhibits higher heating capacity and heat transfer coefficient than that of a traditional radiant floor. During the experiment, the average indoor temperature was 25.0°C in the office room and 22.7°C in the conference room, and all instantaneous indoor temperatures exceeded 21°C. To avoid local thermal discomfort, the supply water temperature of the floor can be appropriately decreased by 2–3°C for operation. Additionally, the power consumption of the system is decreased by approximately 11.4% if the indoor temperature is decreased to 20°C. Hence, a 10-h operation mode per day can be adopted in the office building for energy conservation given that the novel radiant floor exhibits superior initial response to intermittent operation. Practical application: In this study, the practical application effect of a new type of water-passing floor is examined in cold regions to provide a design reference for engineering applications. Therefore, it is expected that the results will be helpful to researchers for indoor environments, heating, ventilating, and air conditioning engineers, system manufacturers, and those who want to analyze the operational performance of a radiant floor heating system.
低温辐射供暖系统广泛应用于节能显著的建筑中,便于低品位能源的利用和分户计量。在本研究中,通过在中国天津的一栋办公楼建造能耗和热舒适性实验平台,研究了一种新型地板辐射供暖系统(RFHS)在寒冷地区的实际应用。结果表明,与传统辐射地板相比,新型辐射地板具有更高的供暖能力和传热系数。在实验过程中,办公室的室内平均温度为25.0°C,会议室为22.7°C,所有瞬时室内温度均超过21°C。为避免局部热不适,地板的供水温度可适当降低2–3°C进行操作。此外,如果室内温度降低到20°C,系统的功耗将降低约11.4%。因此,考虑到新型辐射地板对间歇运行具有良好的初始响应,办公楼可以采用每天10小时的运行模式进行节能。实际应用:本研究考察了一种新型通水地板在寒冷地区的实际应用效果,为工程应用提供设计参考。因此,预计研究结果将有助于室内环境研究人员、供暖、通风和空调工程师、系统制造商以及那些希望分析地板辐射供暖系统运行性能的人。
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引用次数: 103
A multi-objective optimization operation strategy for ice-storage air-conditioning system based on improved firefly algorithm 基于改进萤火虫算法的冰蓄冷空调系统多目标优化运行策略
IF 1.7 4区 工程技术 Q2 Engineering Pub Date : 2021-10-10 DOI: 10.1177/01436244211045570
Xinwei Zhou, Junqi Yu, Wanhu Zhang, Anjun Zhao, Min Zhou
Reasonable distribution of cooling load between chiller and ice tank is the key to realize the economical and energy-saving operation of ice-storage air-conditioning (ISAC) system. A multi-objective optimization model based on improved firefly algorithm (IFA) was established in this study to fully exploit the energy-saving potential and economic benefit of the ISAC system. The proposed model took the partial load rate of each chiller and the cooling ratio of the ice tank as optimization variables, and the lowest energy consumption loss rate and the lowest operating cost of the ISAC system were calculated. Chaotic logic self-mapping was used to initialize population to avoid falling into local optimum, and Cauchy mutation was used to increase the population’s diversity to improve the algorithm’s global search ability. The experimental results show that compared with the operation strategy based on constant proportion, particle swarm optimization (PSO) algorithm, and firefly algorithm (FA), the optimal operation strategy based on IFA can achieve more significant energy-saving and economic benefits. Meanwhile, the convergence accuracy and stability of the algorithm are significantly improved. Practical application: The optimized operation strategy of the ice-storage air-conditioning system can reduce energy loss and operating costs. The traditional operation strategies have the problems of low optimization precision and poor optimization effect. Therefore, this study presents an optimal operation strategy based on IFA. The convergence accuracy and stability of the algorithm are increased after the algorithm is improved. The operation strategy can get the maximum energy-saving effect and economic benefit of the ISAC system.
合理分配冷水机组和冰柜的冷负荷是实现冰蓄冷空调系统经济节能运行的关键。为了充分挖掘ISAC系统的节能潜力和经济效益,本研究建立了一个基于改进萤火虫算法(IFA)的多目标优化模型。该模型以每台冷水机组的部分负荷率和冰柜的冷却率为优化变量,计算出ISAC系统的最低能耗损失率和最低运行成本。利用混沌逻辑自映射对种群进行初始化,避免陷入局部最优,利用柯西变异增加种群的多样性,提高算法的全局搜索能力。实验结果表明,与基于常比例、粒子群优化算法和萤火虫算法的运行策略相比,基于IFA的优化运行策略可以实现更显著的节能和经济效益。同时,算法的收敛精度和稳定性都得到了显著提高。实际应用:冰蓄冷空调系统的优化运行策略可以降低能耗和运行成本。传统的操作策略存在优化精度低、优化效果差的问题。因此,本研究提出了一种基于IFA的最优运营策略。改进后的算法提高了算法的收敛精度和稳定性。该运行策略可以使ISAC系统获得最大的节能效果和经济效益。
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引用次数: 7
Delivering better building performance and lower carbon operation by intelligently employing today’s knowledge and tech 通过智能地运用当今的知识和技术,提供更好的建筑性能和更低的碳运行
IF 1.7 4区 工程技术 Q2 Engineering Pub Date : 2021-09-28 DOI: 10.1177/01436244211052093
T. Dwyer
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引用次数: 0
Energy, exergy and economic assessments of the dual-mode evaporative cooler for various international climate zones 不同国际气候带双模蒸发冷却器的能源、能源和经济评价
IF 1.7 4区 工程技术 Q2 Engineering Pub Date : 2021-09-20 DOI: 10.1177/01436244211044921
Sarvesh Kashyap, J. Sarkar, Amitesh Kumar
The conventional desert cooler is effective for dry seasons and the regenerative evaporative cooler (REC) is an effective device for humid seasons in composite climate zones. Hence, the dual-mode evaporative cooler (a two-in-one device) is an intelligent choice for air conditioning, which can operate in both direct and regenerative modes depending on the seasonal climatic condition. The exergy and economic analyses of this novel device for global climatic conditions are performed to check the suitability in different regions of the world. An experimental prototype of a dual-mode evaporative cooler is developed and tested to validate the simulation model. The effectiveness, coefficient of performance, exergy destruction, exergy efficiency, operating cost, and specific total cost (STC) are evaluated for both (direct and regenerative) modes of operation. The annual and month-wise performances of dual-mode evaporative cooler have been assessed for five cities of international climate zones. The operating cost of both modes is compared by considering electricity charges in different countries. The dual-mode device is compared with the single-mode device as well. The specific cost is similar for both modes in most of the ASHRAE climatic zones. The present study reveals that significant energy and cost savings are possible by using the dual-mode evaporative cooler. Practical application: This article considers the application of a dual-mode evaporative cooler (direct as well as regenerative mode) in different climate zones and, through investigating the exergy and economic performances, allows designers and operators to understand the potential benefits of employing various operating modes in particular climates.
传统的沙漠冷却器在干旱季节是有效的,再生式蒸发冷却器(REC)是复合气候带湿润季节的有效装置。因此,双模式蒸发冷却器(二合一装置)是空调的一种智能选择,它可以根据季节气候条件以直接和再生模式运行。对这种新型装置进行了全球气候条件下的能源和经济分析,以检查其在世界不同地区的适用性。研制了双模蒸发冷却器的实验样机,并对其进行了测试,验证了仿真模型的正确性。对(直接和再生)两种运行模式的有效性、性能系数、火用破坏、火用效率、运行成本和特定总成本(STC)进行了评估。对国际气候带5个城市的双模蒸发冷却器进行了年性能和月性能评价。考虑不同国家的电费,比较两种模式的运行成本。并将双模器件与单模器件进行了比较。在大多数ASHRAE气候带,这两种模式的具体成本相似。本研究表明,使用双模蒸发冷却器可以显著节约能源和成本。实际应用:本文考虑了双模式蒸发冷却器(直接和再生模式)在不同气候区的应用,并通过调查火用和经济性能,使设计人员和操作人员了解在特定气候下采用各种操作模式的潜在好处。
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引用次数: 2
Implementation of new high-rise building staircase pressure differential system improvements 实施新建高层建筑楼梯压差系统的改进
IF 1.7 4区 工程技术 Q2 Engineering Pub Date : 2021-09-17 DOI: 10.1177/01436244211044669
Dorota Brzezińska, M. Fryda
The following technical note demonstrates full-scale staircase test results of the pressure differential system improvement method described by Fryda et al. in 2021. It is a continuation of experimental research on the impact of the escape route’s leakages on the pressure differential systems for staircases. Based on the lab experiments, it has been found that an additional throttle of the leak implemented in the pressure differential system improves its effectiveness and allows it to be more precisely adjusted to the required overpressure. The results presented in this article have confirmed this hypothesis and provided the opportunity to apply for new patent solutions of a special throttle of the leak control and pressure regulating system. The proposed new leakage-based improvements could increase the efficiency of existing systems based on proportional-integral-derivative controller and could also be installed in new buildings.
以下技术说明展示了Fryda等人在2021年描述的压差系统改进方法的全尺寸楼梯测试结果。这是对逃生通道泄漏对楼梯压差系统影响的实验研究的延续。基于实验室实验,已经发现在压差系统中实施的额外的泄漏节流阀提高了其有效性,并使其能够更精确地调整到所需的超压。本文的研究结果证实了这一假设,并为泄漏控制和压力调节系统的特殊节气门申请新的专利解决方案提供了机会。所提出的基于泄漏的新改进可以提高基于比例-积分-微分控制器的现有系统的效率,也可以安装在新建筑中。
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引用次数: 1
The impact of deep learning–based equipment usage detection on building energy demand estimation 基于深度学习的设备使用检测对建筑能源需求估算的影响
IF 1.7 4区 工程技术 Q2 Engineering Pub Date : 2021-09-01 DOI: 10.1177/01436244211034737
S. Wei, P. Tien, Yupeng Wu, J. Calautit
As external temperatures and internal gains from equipment rise, office buildings’ cooling demand and issues are likely to increase. Solutions such as demand-driven controls can help minimise energy consumption and maintain thermal comfort in buildings by coordinating the real-time heating, ventilation and air-conditioning (HVAC) use to the requirements of the conditioned spaces. The present study introduces a real-time equipment usage detection and recognition approach for demand-driven controls using a deep learning method. A Faster R-CNN model was trained and deployed to a camera. The performance of this model was assessed through different evaluation metrics. Based on the initial field experiment results, a detection accuracy of 76.21% was achieved. To investigate the impact of the proposed approach on building heating and cooling energy demand, the case study building was modelled and simulated. The results showed that the deep learning–based method predicted up to 35.95% lower internal heat gains compared to static or ‘fixed’ schedules based on the set conditions. Practical Application: As the appliances and equipment in building spaces contribute to the internal heat gains, their usage can influence the building energy demand and indoor thermal environment. Linking equipment usage with occupants’ presence in space may not be fully accurate and may lead to the over- or under-estimation of heat emissions, especially when the space is unoccupied, and the equipment is powered ON or the opposite. This approach can be integrated with demand-driven controls for HVAC systems, which can minimise unnecessary building energy consumption while maintaining a comfortable indoor environment using computer vision and deep learning detection and recognition methods.
随着外部温度和设备内部收益的上升,办公楼的制冷需求和问题可能会增加。需求驱动控制等解决方案可以根据空调空间的要求协调实时供暖、通风和空调(HVAC)的使用,从而帮助最大限度地减少能源消耗,并保持建筑物的热舒适性。本研究介绍了一种使用深度学习方法进行需求驱动控制的实时设备使用检测和识别方法。一个更快的R-CNN模型被训练并部署到摄像机上。该模型的性能通过不同的评估指标进行评估。基于最初的现场实验结果,检测准确率达到76.21%。为了研究所提出的方法对建筑供暖和制冷能源需求的影响,对案例研究建筑进行了建模和模拟。结果表明,与基于设定条件的静态或“固定”时间表相比,基于深度学习的方法预测的内部热增益低35.95%。实际应用:由于建筑空间中的电器和设备有助于获得内部热量,它们的使用会影响建筑能源需求和室内热环境。将设备的使用与空间中的占用者的存在联系起来可能并不完全准确,并可能导致对热排放的高估或低估,尤其是在空间未被占用、设备通电或相反的情况下。这种方法可以与暖通空调系统的需求驱动控制集成,这可以最大限度地减少不必要的建筑能耗,同时使用计算机视觉和深度学习检测和识别方法保持舒适的室内环境。
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引用次数: 0
Revealing selected ‘unknown unknowns’ of building services engineering 揭示选定的建筑服务工程的“未知的未知”
IF 1.7 4区 工程技术 Q2 Engineering Pub Date : 2021-09-01 DOI: 10.1177/01436244211041803
Timothy L. Dwyer
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引用次数: 0
Domestic heating with compact combination hybrids (gas boiler and heat pump): A simple English stock model of different heating system scenarios 家庭供暖与紧凑的组合混合(燃气锅炉和热泵):一个简单的英文股票模型不同的供暖系统方案
IF 1.7 4区 工程技术 Q2 Engineering Pub Date : 2021-08-22 DOI: 10.1177/01436244211040449
G. Bennett, S. Watson, Grant Wilson, T. Oreszczyn
The heat decarbonisation challenge remains substantial, competing low carbon solutions such as hydrogen and heat pumps (HPs) and the entrenched position of gas combination boilers create inertia in many markets. Hybrid appliances which can directly replace gas boilers may provide a low disruption, low-cost pathway to net zero in gas-reliant markets. Emerging compact combination (CoCo) hybrid heating appliances which combine a gas combi boiler and a small HP unit in one appliance have been modelled for the English housing stock across a range of different scenarios. CoCo hybrids offer sizeable energy demand reduction of up to 60% compared to current gas boilers, also reducing peak electrical demand by 10 GW compared to air source heat pumps. The control strategy for switching between HP and gas boiler is key in determining the scale of demand reduction. Modelling sensitivity to the HP size within CoCo hybrids showed that a 50% reduction in energy demand compared to gas boilers could be achieved with a standard 2.5 kW HP. A lack of clarity in regulation and policy incentives for hybrids exists. To drive innovation and performance improvement, product regulation for hybrids needs to be improved to support decarbonisation of heat with this promising technology. Practical Application Convenient, low disruption heat decarbonisation technology is crucial to the speed of deployment necessary to achieve net zero. This article defines the size of HP necessary to achieve rapid low disruption impact and distinguishes the types of compact hybrid which can deliver the highest decarbonisation impact while minimising in house disruption and the electrical grid impact.
热量脱碳的挑战仍然很大,氢和热泵(HP)等竞争性低碳解决方案以及燃气组合锅炉的根深蒂固的地位在许多市场造成了惯性。可以直接取代燃气锅炉的混合电器可能会为依赖天然气的市场提供一条低中断、低成本的净零排放途径。新兴的紧凑型组合(CoCo)混合供暖设备将燃气组合锅炉和小型HP机组组合在一个设备中,已在一系列不同的场景中为英国住房存量建模。与目前的燃气锅炉相比,CoCo混合动力车的能源需求大幅减少了60%,与空气源热泵相比,峰值电力需求也减少了10吉瓦。在高压和燃气锅炉之间切换的控制策略是决定需求减少规模的关键。CoCo混合动力车对HP大小的建模敏感性表明,与燃气锅炉相比,标准2.5 kW HP可以实现50%的能源需求减少。混合动力车的监管和政策激励措施缺乏明确性。为了推动创新和性能改进,需要改进混合动力车的产品监管,以支持这项有前景的技术实现热量脱碳。实际应用方便、低中断的热脱碳技术对于实现净零排放所需的部署速度至关重要。本文定义了实现快速低中断影响所需的HP规模,并区分了可以提供最高脱碳影响,同时最大限度地减少内部中断和电网影响的紧凑型混合动力车的类型。
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引用次数: 0
Measuring and modeling moisture environment in underground metro stations during commissioning stage: A case study 调试阶段地下地铁站水分环境的测量和建模:一个案例研究
IF 1.7 4区 工程技术 Q2 Engineering Pub Date : 2021-08-18 DOI: 10.1177/01436244211038863
Yanzhe Yu, Shijun You, Huan Zhang, Tianzheng Ye, Yaran Wang, C. Tang, Shen Wei
Due to the humid underground environment, underground metro stations often have internal condensation issues, especially during the commissioning and initial operation phases, and these issues will have a negative impact on the equipment operation and building life. This study aims to solve the issue by 1) identifying common areas with condensation risks based on on-site measurements and numerical simulation methods, and 2) proposing effective dehumidification solutions for the moisture control of stations. By on-site investigating the characteristics of the station’s moisture environment and numerical assessing the effects of two different dehumidification strategies, it has been found that 1) for Tianjin, during most times in summer, the air temperature of the station in the commissioning phase was maintained relatively stable, but with significantly changing humidity; 2) the relative humidity on the platforms was higher than 80% for almost 30% of the testing time, and the surface of the upper structure of platform doors having a high risk of condensation; 3) the dehumidification effect of industrial dehumidifiers was found to be better than that of increasing exhaust air volume. The authors hope that the research could aid the decision on dehumidification strategies and provide guidance for further moisture control in underground stations. Practical Application This article analyzed the moisture environment of the underground metro stations in the commissioning phase and conducted a numerical approach to assess the condensation risk. Potential dehumidification solutions including increasing the exhaust air volume and using industrial dehumidifiers have been proposed, and their effects have been investigated and compared. The authors hope that this research can aid the decision on dehumidification strategies for facilities maintenance and provide a guidance to further moisture control in underground stations.
由于地下环境潮湿,地下地铁站经常出现内部冷凝问题,尤其是在调试和初期运营阶段,这些问题将对设备运行和建筑寿命产生负面影响。本研究旨在通过以下方式解决该问题:1)根据现场测量和数值模拟方法,确定有冷凝风险的公共区域;2)为车站的湿度控制提出有效的除湿解决方案。通过现场调查电站的水分环境特征,并对两种不同除湿策略的效果进行数值评估,发现1)对于天津来说,在夏季的大部分时间里,电站调试阶段的气温保持相对稳定,但湿度变化明显;2) 在几乎30%的测试时间里,站台上的相对湿度高于80%,站台门上部结构的表面有很高的冷凝风险;3) 工业除湿机的除湿效果优于增加排风量的除湿效果。作者希望这项研究能够帮助地下车站除湿策略的决策,并为地下车站进一步的湿度控制提供指导。实际应用本文分析了地下地铁站在调试阶段的水分环境,并采用数值方法评估了凝结风险。已经提出了潜在的除湿解决方案,包括增加排气量和使用工业除湿器,并对其效果进行了调查和比较。作者希望这项研究能够帮助制定设施维护的除湿策略,并为地下车站的进一步湿度控制提供指导。
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引用次数: 4
Analysis of the characteristics of noise from substations in buildings 建筑物变电站噪声特性分析
IF 1.7 4区 工程技术 Q2 Engineering Pub Date : 2021-08-05 DOI: 10.1177/01436244211035672
Xinyu Liu, Junjie Liu, Junyi He, Jinxian Zhang
The urbanization has resulted in an increasing number of transformer stations, which has resulted insignificant building noise problems. However, noise problems persist because of inadequate noise characterization and the use of imperfect noise evaluation indexes for centralized substations. Based on this problem, a transformer vibration noise coupling analysis method based on empirical mode decomposition (EMD) and spectrum analysis is proposed in this study. The proposed method accurately and effectively screens and characterizes transformer noise and provides a theoretical basis for transformer noise reduction. To verify the effectiveness of the proposed method, a transformer was reconstructed as an example. It was found that the low-frequency noise from the transformer was mainly caused by vibrations with a frequency below 500 Hz, particularly frequencies of 300 Hz and 100 Hz and 50 Hz. Through the calculation and analysis of eigenvalues, the noise reduction measures focusing on vibration reduction were proposed. In the end, a noise reduction of 10 dB was achieved, which meets the comfort requirements. This method can accurately and effectively identify the characteristics of transformer noise, which makes up for the insufficiency of transformer characteristics analysis in the past. Provide guidance for perfecting transformer noise evaluation index. Practical implication: The noise problem caused by substations is getting more and more serious. Conventional noise detection and noise reduction methods can no longer meet people’s requirements for sound comfort. The coupling analysis method of vibration and noise based on EMD and spectrum analysis proposed in this study can effectively extract the characteristics of transformer noise. It provides theoretical support for the noise reduction transformation of transformers, and solves the problem that the current engineering noise reduction transformation has no theoretical basis. Noise characteristic analysis can make up for the shortcomings of existing acoustic comfort indicators that only use sound pressure level as the evaluation indicator.
城市化导致了变电站数量的增加,这导致了微不足道的建筑噪音问题。然而,由于不充分的噪声表征和对集中式变电站使用不完善的噪声评估指标,噪声问题仍然存在。基于这一问题,本文提出了一种基于经验模态分解和频谱分析的变压器振动噪声耦合分析方法。该方法准确、有效地屏蔽和表征了变压器噪声,为变压器降噪提供了理论依据。为了验证该方法的有效性,以变压器为例进行了重构。发现变压器的低频噪声主要是由频率低于500Hz的振动引起的,特别是频率为300Hz、100Hz和50Hz的振动。通过对特征值的计算和分析,提出了以减振为主的降噪措施。最终,噪音降低了10dB,满足了舒适性要求。该方法能够准确有效地识别变压器噪声的特性,弥补了以往变压器特性分析的不足。为完善变压器噪声评价指标提供指导。实际意义:变电站引起的噪声问题越来越严重。传统的噪声检测和降噪方法已不能满足人们对声音舒适性的要求。本文提出的基于EMD和频谱分析的振动与噪声耦合分析方法可以有效地提取变压器噪声的特征。为变压器的降噪改造提供了理论支持,解决了目前工程降噪改造没有理论依据的问题。噪声特性分析可以弥补现有声学舒适性指标仅以声压级作为评价指标的不足。
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引用次数: 1
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Building Services Engineering Research & Technology
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