Research on multi-objective optimization techniques of hospital building forms in cold regions based on energy-saving orientation
The building design industry is challenged by growing energy demands,and building simulation is widely used in the later design stages.While early stage design has been shown to have a significant impact on the overall building performance,its application remains limited in the early stages where design decisions have a significant impact on the final building performance and cost.In this paper,a new design simulation method is proposed,with energy-saving as the goal,genetic algorithm Octopus as the tool,parameterized simulation Grasshopper as the platform,and cold regions as the background,to combine parameterized modeling with multi-objective optimization to achieve rapid iteration and trade-off analysis.Considering the particularity of hospital building function and a number of constraints,variable control is carried out from three aspects:general layout,building monomer and building part.Energy saving is incorporated into the consideration elements of early building design,and the multi-objective optimization technology of hospital building morphology is applied to actual engineering projects,which helps to establish a set of goal-oriented-automatic optimization-seeking-design decision-making simulation framework.This framework is conducive to active,intelligent and experience-based building simulation,which is helpful to make decisions in the early stage of building design.
energy efficient designcold regionshospital buildingssoftware simulationmorphological layoutmulti-objective optimization
万方数据
维普
