通过现场测量提高昼夜照明模拟的准确性

IF 2.2 4区工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of Building Performance Simulation Pub Date : 2022-09-03 DOI:10.1080/19401493.2022.2071466

Siqi He, Yonghong Yan, H. Cai

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引用次数: 2

摘要

为了提高昼夜节律照明的仿真精度，建立了一个工作流程，首先在电力照明下对仿真模型进行校准，然后在综合采光和电力照明下进行验证。在完全校准模型中，模拟与实测spd高度相关(rSPD≥0.9)，模拟的暗/光(M/P)比具有可接受的精度，错误率(MBErel)小于4%，残差(RMSErel)在7%以内。角膜照度(EV)、EML和CS的MBErel和RMSErel分别在10%和20%以内。在校准和验证阶段，残留率(e)小于20%的数据点比例超过75%。最后，所提出的程序可以帮助进一步分析昼夜光照。

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Improving the accuracy of circadian lighting simulation with field measurement

For improving the simulation accuracy of circadian lighting, a workflow was established to first calibrate the simulation model under electric lighting followed by validation with integrated daylighting and electric lighting. A case study was conducted in a daylit office, with the evident impact of varying lighting parameters (light level, intensity, SPD, reflectance) on the simulation accuracy. In the fully calibrated model, the simulated and field-measured SPDs are highly correlated (rSPD ≥ 0.9), providing the acceptable accuracy of the simulated melanopic/photopic(M/P) ratio with the error rate (MBErel) less than 4% and residual deviation (RMSErel) within 7%. The MBErel and RMSErel of corneal illuminance (EV), EML, and CS are within 10% and 20%, respectively. The ratio of data points with the residual rate (e) less than 20% is over 75% in the calibration and validation phases. Conclusively, the proposed procedure could help prepare for further analysis of circadian light exposure.

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来源期刊

Journal of Building Performance Simulation CONSTRUCTION & BUILDING TECHNOLOGY-

CiteScore

5.50

自引率

12.00%

发文量

审稿时长

12 months

期刊介绍： The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit. The journal also offers a forum for original review papers and researched case studies We welcome building performance simulation contributions that explore the following topics related to buildings and communities: -Theoretical aspects related to modelling and simulating the physical processes (thermal, air flow, moisture, lighting, acoustics). -Theoretical aspects related to modelling and simulating conventional and innovative energy conversion, storage, distribution, and control systems. -Theoretical aspects related to occupants, weather data, and other boundary conditions. -Methods and algorithms for optimizing the performance of buildings and communities and the systems which service them, including interaction with the electrical grid. -Uncertainty, sensitivity analysis, and calibration. -Methods and algorithms for validating models and for verifying solution methods and tools. -Development and validation of controls-oriented models that are appropriate for model predictive control and/or automated fault detection and diagnostics. -Techniques for educating and training tool users. -Software development techniques and interoperability issues with direct applicability to building performance simulation. -Case studies involving the application of building performance simulation for any stage of the design, construction, commissioning, operation, or management of buildings and the systems which service them are welcomed if they include validation or aspects that make a novel contribution to the knowledge base.