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In recent years, machine learning has gradually been applied to building energy-saving designs to reduce the time consumption of the optimization screening stage. However, since most of the existing research scholars come from the fields of computers and engineering, the application of machine learning technology mostly involves complex programming as well as software in the field of engineering, which requires multiple software to be coupled to achieve. In view of the differences between disciplines and the high learning threshold, these theories are difficult to apply and promote in practical work in the field of architecture. In this regard, this paper focuses on the improvement of methods, based on the Grasshopper platform, proposes a detached energy-saving residential form generation design method and process, to explore the optimal energy-saving building form in a more concise and efficient way. Based on this new method, on the basis of verifying its feasibility through a residential building case, two machine learning algorithms, neural network (ANN) and support vector machine (SVM), are compared and studied, and the applicability of these two algorithms in different building performance indicators is further discussed. The results show that the ANN model has the highest accuracy and is more suitable for the prediction of building energy consumption; in view of the simple and fast operation of SVM, it is more suitable for comfort prediction with relatively low accuracy requirements. By combining the above two machine learning methods, work efficiency can be improved while satisfying the prediction of relevant performance indicators. This method can help architects quickly search for the best building energy-saving form design scheme in the scheme design stage and provide data support and information feedback for architects in design conception and deepening. [ABSTRACT FROM AUTHOR]

This article provides a comprehensive understanding of small house practices, including the perspective of Finnish architectural experts, by conducting semi-structured in-depth interviews and proposing an individually designed house case study with a particular focus on cost and quality. Key findings based on main themes including the role and qualifications of the architect, architect's involvement, architect's fee, reasons to hire an architect, implementation, quality, and cost, highlighted that: (1) architect can assist small house projects in many ways, such as accurately identifying the client's needs, choosing the most suitable layout, and applications for building permits; (2) allocating sufficient time for planning an average of six months is critical for the thoughts of both the architect and the client to mature in peace; (3) the share of architectural design in the total cost of the project is around 3–5%; (4) it is estimated that the total amount of small houses designed by an architect is between 10–20%; (5) an architect's typical client is reported to be those who dream of a long-term home and are concerned with aesthetics as well as functional quality; (6) the client is always satisfied with the quality of the house designed by the architect; (7) while an individually designed home may seem more costly than a prefab home, an architect-designed home can be affordable as long as the budget is known from the start of the project. It is believed that this paper will encourage the participation of architects in small house projects that will be expanded and established in the Finnish residential construction industry. [ABSTRACT FROM AUTHOR]

In this paper, the effect of house envelopes including thermal bridges on the daily, monthly, and annual consumption of the air conditioning system of a detached house and an attached house, with a façade in the east, west, north, or south direction, is investigated; moreover, the capacity of the air conditioning system is calculated for detached and attached houses based on the maximum hourly peak load during severe weather conditions. The four tested house envelopes are exterior insulation and finish system (EIFS), autoclaved aerated concrete block (AAC-B), classical (cement blocks with insulation in between), and AAC column and beam (AAC-CB). The work is conducted using a method that combines the finite element method (COMSOL Multiphysics), building simulation (EnergyPlus), and the Engineering Equation Solver (EES) programs. The results indicated that the annual consumption of the air conditioning system using AAC-B, classical, and AAC-CB envelopes is larger than that of EIFS by about 3.74, 11.53, and 20.70% for the detached house, and 1.8, 2.9%, and 6.7% for the attached house, respectively. The annual consumption of the air conditioner of the detached house is larger than the average consumption of the attached house by about 25.3, 27.7, 35.8, and 41.7% for EIFS, AAC-B, classical, and AAC-CB house envelopes, respectively. Using the different façade directions of the attached house, the average effect of the house envelope type on the air conditioning system capacity is about 8.84%, with a standard deviation of 0.466%. [ABSTRACT FROM AUTHOR]

Germany is undergoing an energy transition. By 2045, fossil fuels will be gradually replaced by clean energy. An alternative option is to use geothermal, solar and wind energy to generate heat or electricity. Currently, an economic model that considers these three energy sources and incorporates the design and installation of the energy system as well as operational costing focusing on the local market is lacking. In this study, we present a concept for a hybrid energy system combining solar, wind and geothermal energy for small, detached houses. We also develop a simplified economic model for the German market and local energy subsidy policies. The model was applied to two different cities in northern Germany, calculating the installation and long-term operating costs of different energy systems and combinations over a period of 100 years, including the consideration of the lifespan of variable equipment. The calculations show that for this small hybrid energy system the initial installation costs can vary from EUR 20,344 to EUR 70,186 depending on different portfolios. Long-term operating costs come mainly from electricity purchased from the grid to compensate for periods of low solar or wind production. In addition, the study included a calculation of the payback period for retrofitting a natural gas heating system. Results show that combining a photovoltaic system with a ground source heat pump, especially in the form of a near-surface heat exchanger, yields a shorter payback period (5 to 10 years). However, the incorporation of on-roof wind turbines into the hybrid energy system may significantly prolong the payback period and is therefore not recommended for use in low wind speed areas. [ABSTRACT FROM AUTHOR]

Currently, there is a growing interest in enhancing building regulations in Jordan since it has a direct impact on the quality of the built environment and then on individuals' life. Human satisfaction is connected with comfort level in several aspects, including thermal, physical, psychological, and personnel. Such a relation required a comprehensive and integrated vision to be analysed in general and in conservative culture as Jordan in specific. Therefore, this study aimed to explore the impact of buildings' setbacks on thermal comfort and visual privacy for residential development, which has been classified into four categories based on assigned land use. Field observation and spatial analysis were done for the research setting. The relation between thermal comfort and visual privacy in a detached house was tested by using primary data that was conducted through an online survey from 254 respondents. Research data were analysed using multinomial regression analysis showing that the level of satisfaction correlates with setbacks; a higher level of satisfaction resulted from better thermal comfort and visual privacy with larger setbacks. However, this contradicts principles of sustainability that appreciate intensification guidelines to reduce sprawl. So, there is a need to revise building codes to improve the level of satisfaction and well-being. [ABSTRACT FROM AUTHOR]

This article provides a comprehensive understanding of small house practices, including the perspective of Finnish architectural experts, by conducting semi-structured in-depth interviews and proposing an individually designed house case study with a particular focus on cost and quality. Key findings based on main themes including the role and qualifications of the architect, architect’s involvement, architect’s fee, reasons to hire an architect, implementation, quality, and cost, highlighted that: (1) architect can assist small house projects in many ways, such as accurately identifying the client’s needs, choosing the most suitable layout, and applications for building permits; (2) allocating sufficient time for planning an average of six months is critical for the thoughts of both the architect and the client to mature in peace; (3) the share of architectural design in the total cost of the project is around 3–5%; (4) it is estimated that the total amount of small houses designed by an architect is between 10–20%; (5) an architect’s typical client is reported to be those who dream of a long-term home and are concerned with aesthetics as well as functional quality; (6) the client is always satisfied with the quality of the house designed by the architect; (7) while an individually designed home may seem more costly than a prefab home, an architect-designed home can be affordable as long as the budget is known from the start of the project. It is believed that this paper will encourage the participation of architects in small house projects that will be expanded and established in the Finnish residential construction industry.

In recent years, machine learning has gradually been applied to building energy-saving designs to reduce the time consumption of the optimization screening stage. However, since most of the existing research scholars come from the fields of computers and engineering, the application of machine learning technology mostly involves complex programming as well as software in the field of engineering, which requires multiple software to be coupled to achieve. In view of the differences between disciplines and the high learning threshold, these theories are difficult to apply and promote in practical work in the field of architecture. In this regard, this paper focuses on the improvement of methods, based on the Grasshopper platform, proposes a detached energy-saving residential form generation design method and process, to explore the optimal energy-saving building form in a more concise and efficient way. Based on this new method, on the basis of verifying its feasibility through a residential building case, two machine learning algorithms, neural network (ANN) and support vector machine (SVM), are compared and studied, and the applicability of these two algorithms in different building performance indicators is further discussed. The results show that the ANN model has the highest accuracy and is more suitable for the prediction of building energy consumption; in view of the simple and fast operation of SVM, it is more suitable for comfort prediction with relatively low accuracy requirements. By combining the above two machine learning methods, work efficiency can be improved while satisfying the prediction of relevant performance indicators. This method can help architects quickly search for the best building energy-saving form design scheme in the scheme design stage and provide data support and information feedback for architects in design conception and deepening.

In this paper, the effect of house envelopes including thermal bridges on the daily, monthly, and annual consumption of the air conditioning system of a detached house and an attached house, with a façade in the east, west, north, or south direction, is investigated; moreover, the capacity of the air conditioning system is calculated for detached and attached houses based on the maximum hourly peak load during severe weather conditions. The four tested house envelopes are exterior insulation and finish system (EIFS), autoclaved aerated concrete block (AAC-B), classical (cement blocks with insulation in between), and AAC column and beam (AAC-CB). The work is conducted using a method that combines the finite element method (COMSOL Multiphysics), building simulation (EnergyPlus), and the Engineering Equation Solver (EES) programs. The results indicated that the annual consumption of the air conditioning system using AAC-B, classical, and AAC-CB envelopes is larger than that of EIFS by about 3.74, 11.53, and 20.70% for the detached house, and 1.8, 2.9%, and 6.7% for the attached house, respectively. The annual consumption of the air conditioner of the detached house is larger than the average consumption of the attached house by about 25.3, 27.7, 35.8, and 41.7% for EIFS, AAC-B, classical, and AAC-CB house envelopes, respectively. Using the different façade directions of the attached house, the average effect of the house envelope type on the air conditioning system capacity is about 8.84%, with a standard deviation of 0.466%.