Abstract
Building energy waste has become one of the major challenges confronting the world today, so specifications and targets for building energy efficiency have been put forward in countries around the world in recent years. The schematic design stage matters a lot for building energy efficiency, while most architects nowadays are less likely to make energy efficiency design decisions in this stage due to the lack of necessary means and methods for analysis. An integrated multi-objective multivariate framework for optimization analysis is proposed for the schematic design stage in the paper. Here, the design parameters of the building morphology and the design parameters of the building envelope are integrated for analysis, and an integrated performance prediction model is established for low-rise and medium-rise residential buildings. Then, a comparison of the performance indicators of low-rise and medium-rise residential buildings under five typical urban climatic conditions is carried out, and the change patterns of the lighting environment, thermal environment, building energy demand, and life cycle cost of residential buildings in each city under different morphological parameters and design parameters of the building envelope are summarized. Specific analysis methods and practical tools are provided in the study for architectural design to ensure thermal comfort, lighting comfort, low energy consumption, and low life-cycle cost requirement, and this design method can inspire and guide the climate adaptation analysis and design process of low-rise and medium-rise residential buildings in China, improve architects’ perception of energy-saving design principles of low-rise and medium-rise residential buildings on the ontological level, as well as provide them with a method to follow and a case to follow in the actual design process.
Highlights
The multi-objective optimization method integrating different parts of the design parameters is shown in Figure 2, where an integrated optimization process can be divided into the following steps: (1) in the design project, the architect decomposes and screens the design elements of the project through the control over the site and the design specification, excluding the judged design constraints; (2) the basic design elements are divided on the basis of the spatial form design and the building envelope design
The neural network model’s performance in the training set and validation set is demonstrated in Table 7, and the results show that the error of the neural network is controlled to an acceptable range
The main research aim of the paper was to explore climate adaptability design strategies of buildings with a series of parametric simulation methods, and to summarize a method for climate adaptability design of residential buildings oriented to the schematic stage
Summary
With the development of industrialization in various countries in the world, environmental problems have become increasingly prominent. Since the mid to late 20th century, countries in the world have successively proposed to reduce their dependence on fossil fuels in the process of economic development in order to alleviate climate change. In the field of construction, various countries have successively established green building associations and proposed evaluation standard systems for green buildings, such as Leadership in Energy and Environmental Design (LEED), Building Research Establishment Environmental Assessment Method (BREEAM), and National Australian Building Environmental. As China’s economy advances quickly and urban population becomes highly concentrated, the number of urban residential buildings has seen a rise, increasing energy consumption. China’s urbanization rate increased from 37.7% in 2001 to 59.6%, and the urban population increased from 155 million to 299 million in
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