| The global energy crisis has brought great challenges to human economic development.China has a large population with huge energy consumption.The shortage of energy will restrict our economic and social development,and affect the quality of people’s life.The building energy consumption accounts for a large proportion of this huge consumption.In recent years,as the higher education has continued to develop in China and the enrollment scale has been expanded continuously,colleges and universities have also been building new student dormitories,which has consumed huge energy and caused huge losses to economy at the same time.Therefore,we have to think deeply about the energy saving of student dormitories in colleges and universities.Based on these issues,this paper considers the Qingdao climate to pick out the building energy-saving technology suitable for this area from the perspective of architecture.From the perspective of building interior optimization,it summarizes the influence factors of climatic conditions on the energy consumption of university dormitories in this area combined with the relevant literature at home and abroad,and uses multi-objective optimization algorithm to simulate the optimization through computer software to put forward an energy-saving strategy for university dormitories which is suitable for Qingdao and improve the living comfort of university dormitories at the same time in order to achieve the double optimization of building energy consumption and building interior comfort.This paper consists of seven chapters.The first chapter is the introduction,which introduces the research background,research objective,research significance,research content and research status at home and abroad,and draws a complete structure chart for the paper.The second chapter introduces the basic principle,research status and practical application of multi-objective optimization algorithm,and selects the software platform for simulating optimization.The third chapter is to theoretically analyze the impact of various internal and external factors on building energy consumption and interior comfort.The fourth chapter is to establish a theoretical model,analyze the factors influencing the interior of single building and the impact on interior energy consumption and comfort of the building when simulating the optimization of single factor by software.The building window-wall ratio,the selection and thickness of exterior wall and roof insulation materials and thickness as well as several influence variables such as building external window and horizontal sunshading board are simulated and their impacts on building energy consumption and interior comfort are analyzed to draw relevant conclusions and summarize the shortcomings in the simulation process so as to lay the foundation for the multi-objective optimization experiment.The fifth chapter is to use the theoretical model for multi-objective optimization.In the multi-objective optimization experiment,the building orientation,window to wall ratio,types of thermal insulation materials for building exterior enclosure,the thickness of thermal insulation material,types of exterior window glass,temperature set point of interior cooling and heating equipment,the protruding length of sunshading board and other influencing factors are cross-combined to calculate the building energy consumption and the duration of discomfort inside the building.The multi-objective optimization experiments on building energy consumption and building interior comfort are carried out by changing the material type,thickness and value range of these variables.The joint optimization of many influencing factors is simulated through the combination of multi-objective optimization principle and computer simulation.The Pareto solution set calculated by multi-objective optimization is used to analyze the data in order that the value range and type for simulating variable parameters are obtained.The optimal recommended interval of the theoretical model is analyzed,that is,the building orientation is set between 5 °and 50 °south by west,the window-wall ratio is controlled between 30% and 40%,polyurethane foam with the thickness of 300 mm are used as the thermal insulation material in the simulation experiment,and the EPS board with thickness of 300 mm is mostly used as roof insulation material,the experimental model can effectively reduce the building energy consumption and improve the interior comfort of the building when the low radiation glass with air interlayer is used and the horizontal sunshading system is not installed outside the building.At the same time,it analyze the multi-objective optimization experiment and summarize this optimization process.The sixth chapter is the multi-objective optimization of the examples,in which the case analysis is used to optimize the building energy consumption and interior comfort of the graduate dormitory in Laoshan Campus of Qingdao University of Science & Technology,the previous multi-objective optimization process is used to determine the influencing factors according to the actual situation so as to carry out the multi-objective optimization of building energy consumption and comfort,and the data of the optimal solution set is compared to put forward the optimization strategy.The seventh chapter is to summarize the paper and show the prospects for the future,and summarize the shortcomings of this paper at the same time.It is inconvenient to get in and out of the campus due to the epidemic,so lots of measured data about the campus dormitory in the University of Science & Technology can not be measured,it is impossible to conduct a questionnaire survey on the interior comfort at the same time and heating and cooling temperature of the users and make more measurement to the internal environment of the campus either,which is also the deficiency and regret of this paper and a complement to my later work.In the future,I hope to do further research on the building interior comfort,building energy consumption and multi-objective algorithm,and make improvements and supplements to them combined with the feelings of university dormitory users at the same time. |
PDF Full Text Request