The research focuses on optimising different zones of the Europoint complex in Rotterdam to achieve self-sufficiency in energy consumption and food production. For this reason, three buildings of the complex are parametrised in Grasshopper 3d Algorithmic Modelling Environment. The parametric models include various design variables related to the number of farming floors, shape, and the properties of the façade design with shading devices. Residential parts of the towers are divided into 3 subdivisions (building zones) to identify the best parameter sets for various floor levels considering the density of the surrounding. In each building zone, 1 floor level is considered to conduct the simulation results that corresponds to data collection from 9 different floor levels of the Europoint complex. Latin Hypercube Sampling method is used with Honeybee and Ladybug plug-ins developed for environmental analysis in Grasshopper during the sampling process. The collected data presents the results for residential energy consumption including heating, lighting, and equipment loads, energy generation of the towers, and daylight factor for each orientation in each zone. Detailed explanations of the design parameters, performance aspects, and glazing types are given in below. The published data can be used for sensitivity analysis, surrogate modelling, and statistical analysis for energy and daylight related works on Europoint complex in Rotterdam.
|Date made available||14 Dec 2021|
|Publisher||TU Delft - 4TU.ResearchData|
|Date of data production||2021|