Dataset on Environmental Sunlight Sensing

Environmental sensing is an ongoing and well-established research methodology for engineering, architecture and urban planning studies. Environmental sunlight data can have applications in different domains, from engineering to architecture, including energy harvesting, photovoltaic cells, and green infrastructure (gardens and greenhouses that rely on solar radiation for maintenance). The dataset contains the measurements on Environmental Sunlight Sensing, including dates, times, values, and sky-type scenarios for the empirical data gathered using two Shandong Renke Control Technology sensors, a Pyranometer (PYR) and a Photosynthetically Active Radiation (PAR) Sensor. The monitoring campaign took six months (April – September) of 2023 along 18 days, with three data collections each day in all cases. The empirical data collection was generated in Singapore; according to the Köppen Climate Classification, the city-state has a Tropical Rainforest Climate (Af). This type of climate is usually found along the equator and has yearly stable conditions showing non-pronounced seasons. Due to the regularity of Singapore’s climate, the monitoring period created enough data granularity to generate satisfactory and accurate results. The data collection process was developed at the Singapore University of Technology and Design campus at Building 5, in three locations at roof, façade and ground levels selected to test diverse sunlight conditions. The sensors were systematically located at the exact position for each data collection procedure. The principal investigator and creator of the data collection methodology was Ph.D student Alba Lombardía (Architecture and Sustainable Design), supported by an Undergraduate Research Opportunities Program (UROP), directed by Prof. Arlindo Silva and in which undergraduate student from Engineering Product Development pillar Andrew Tan Jing participated in collecting data in the months of July-August.

环境传感是工程、建筑与城市规划研究领域中一项成熟且持续应用的研究方法。环境光照数据可应用于工程至建筑等多个领域，涵盖能量收集、光伏电池，以及依赖太阳辐射维持运转的绿色基础设施（花园与温室）。本数据集包含环境光照传感的实测数据，涵盖日期、时间、数值与天空类型场景等信息，所用测量设备为山东仁科控制技术有限公司的两款传感器：总辐射传感器（Pyranometer，PYR）与光合有效辐射传感器（Photosynthetically Active Radiation，PAR Sensor）。本次监测活动于2023年4月至9月间开展，共覆盖18天，每日均进行三次数据采集。本次实测数据采集工作在新加坡完成；根据柯本气候分类法（Köppen Climate Classification），新加坡属于热带雨林气候（Tropical Rainforest Climate，Af）。该类气候多分布于赤道沿线区域，全年气候稳定，季节变化极不显著。得益于新加坡气候的规律性，本次监测周期获取了足够精细的数据粒度，可生成令人满意且精准的研究结果。数据采集工作在新加坡科技设计大学（Singapore University of Technology and Design）5号教学楼校园内开展，分别选取屋顶、外立面与地面三个位置，以测试不同的光照条件。每次数据采集过程中，传感器均被精准安装于预设位置。本数据集采集方法的主要研究者与创建者为建筑与可持续设计方向的博士生阿尔巴·隆巴尔迪亚（Alba Lombardía），该项目由本科研究机会计划（Undergraduate Research Opportunities Program，UROP）资助，由阿尔林多·席尔瓦（Arlindo Silva）教授指导，工程产品开发板块的本科生安德鲁·陈静（Andrew Tan Jing）于7月至8月期间参与了数据采集工作。