Tool developed as part of the EngD thesis: DaylightGuide - A tool for personalized daylight recommendations for the home office

The DaylightGuide tool (1) asks for input about the user’s home office setup , (2) provides insights in the daylighting conditions in the home office, and (3) presents recommendations for optimizing daylight in the home office. (Day)light metrics that are presented are melanopic Equivalent Daylight Illuminance (m-EDI), Daylight Glare Probability (DGP), spatial Daylight Autonomy (sDA), and Useful Daylight Illuminance (UDI). In the tool, these metrics are referred to as the daylight targets. The tool also provides recommendations for optimizing the daylight targets. The tool is developed for use in The Netherlands. To establish this tool, three steps were taken. First, a questionnaire study was conducted to make an inventory of Dutch home office space characteristics, with a special focus on characteristics that contribute to the indoor daylight distribution. Second, based on these office characteristics, parametric simulation models were developed and annual daylight simulations were conducted using Radiance. The parameters used in the simulations were: the type of window, the orientation of the window, the density of the outside area surrounding the home office, the glazing area of the window, the color of the walls in the home office space, the placement of the window with respect to the occupant, and the distance between the workplace and the window. In specific, simulations were conducted to retrieve m-EDI, DGP, sDA, and UDI values. Third, the simulation results were processed such that the annual data were averaged per month for daytime working hours (i.e., 08.00-18.00). The data were processed to show, for each month of the year, the percentage of work hours during which a certain target was met. This analysis was done for each daylight metric.<br>A user interface was built for the processed simulation data, which is the developed DaylightGuide tool. Through the interface, anyone working (occasionally) from a home office in The Netherlands can gain insight into the daylighting conditions in their home office as well as recommendations on any changes they could make to their home office to optimize the daylight targets.<br>The tool is available in English and in Dutch.The thesis describing the development of the tool can be found here: https://research.tue.nl/en/publications/345ebafe-fa3f-4f42-afe3-78b8f3aaf0f6<br>

日光指南工具（DaylightGuide）具备三项核心功能：(1) 采集用户家庭办公空间的设置信息；(2) 分析并展示家庭办公空间的日光环境状况；(3) 提供优化家庭办公日光环境的相关建议。该工具所涉及的日光指标包括：黑视素等效昼光照度（melanopic Equivalent Daylight Illuminance, m-EDI）、昼光眩光概率（Daylight Glare Probability, DGP）、空间日光自主率（spatial Daylight Autonomy, sDA）以及有效昼光照度（Useful Daylight Illuminance, UDI）。在工具界面中，上述指标被统称为日光目标。此外，该工具还可针对上述日光目标的优化提供具体建议。本工具专为荷兰地区的使用场景开发。为构建该工具，研究团队共开展了三个阶段的工作。第一阶段，通过问卷调查梳理荷兰家庭办公空间的特征参数，重点关注影响室内日光分布的相关特性。第二阶段，基于上述办公空间特征构建参数化仿真模型，并使用Radiance软件开展年度日光仿真实验。仿真涉及的参数涵盖：窗户类型、窗户朝向、办公空间周边区域的遮挡密度、窗户玻璃采光面积、办公空间墙面色彩、窗户相对于使用者的位置，以及工位与窗户之间的距离。本次仿真的核心目标为获取m-EDI、DGP、sDA及UDI四项指标的数值。第三阶段，对仿真结果进行数据处理：将日间工作时段（即08:00-18:00）的年度原始数据按月度取平均值，并进一步处理为可展示全年各月份中，对应日光目标达成的工作时长占比的格式。该分析针对每一项日光指标逐一开展。基于处理完成的仿真数据构建了用户交互界面，即最终开发完成的DaylightGuide工具。通过该界面，所有在荷兰境内（偶尔）开展居家办公的用户均可查询自身家庭办公空间的日光环境状况，并获取针对办公空间的调整建议，以优化各项日光目标。本工具支持英语与荷兰语两种语言版本。详细描述该工具开发过程的学位论文可通过以下链接获取：https://research.tue.nl/en/publications/345ebafe-fa3f-4f42-afe3-78b8f3aaf0f6