TY - DATA
T1 - Multi-zone simulation results of Europoint complex for self-sufficiency in energy consumption and food production in Rotterdam
PY - 2021/12/14
AU - Berk Ekici
AU - Okan F.S.F. Turkcan
AU - Michela Turrin
AU - I. Sevil Sariyildiz
AU - Mehmet Fatih Tasgetiren
UR - https://data.4tu.nl/articles/dataset/Multi-zone_simulation_results_of_Europoint_complex_for_self-sufficiency_in_energy_consumption_and_food_production_in_Rotterdam/17129420/1
DO - 10.4121/17129420.v1
KW - Self-sufficiency
KW - Vertical Farming
KW - energy consumption
KW - BIPV
KW - Building Performance Simulation (BPS)
KW - Artificial Intelligence (AI)
KW - machine Learning Predictions
KW - Computational Optimisation
KW - Building-integrated photovoltaics;
N2 - <p></p><p>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.  </p><p></p>
ER -