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>

DaylightGuide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）分析家庭办公空间内的日照环境状况；（3）提供优化家庭办公日照环境的具体建议。
工具所展示的日照指标包括黑视等效日照照度（melanopic Equivalent Daylight Illuminance，m-EDI）、日照眩光概率（Daylight Glare Probability，DGP）、空间日照自主性（spatial Daylight Autonomy，sDA）以及有效日照照度（Useful Daylight Illuminance，UDI），工具中将上述指标统称为日照目标。此外，该工具还会针对优化日照目标提供相应建议。
本工具专为荷兰境内使用开发，其开发流程共分为三个步骤：
首先，开展问卷调研以梳理荷兰家庭办公空间的特征，重点关注对室内日照分布存在影响的相关特征。
其次，基于上述办公空间特征构建参数化模拟模型，并通过Radiance软件开展年度日照模拟。模拟所采用的参数涵盖：窗户类型、窗户朝向、家庭办公空间周边区域的遮挡密度、窗户玻璃采光面积、家庭办公空间墙面色彩、窗户相对于使用者的位置，以及工位与窗户之间的距离。本次模拟旨在获取m-EDI、DGP、sDA与UDI的数值结果。
最后，对模拟结果进行处理：将年度数据按照日间工作时段（即每日08:00-18:00）分月求取平均值，并针对每一项日照指标，计算一年中每个月达成对应日照目标的工作时长占比。
研究团队基于处理后的模拟数据搭建了用户界面，即本次开发的DaylightGuide工具。通过该界面，荷兰境内所有（偶尔）居家办公的用户均可了解自身家庭办公空间的日照环境状况，并获取优化日照目标所需的居家办公空间调整建议。
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