## 1 Introduction
By using the \"Morphing\" deformation method [31], the meteorological parameters, such as dry bulb temperature, relative humidity, and solar radiation, in the location of the building are revised, and Energy Plus is applied to simulate the office building to study the influence of the urban heat island effect on building energy consumption. In general, the increase in urban heat island intensity and the decrease in relative humidity and wind speed lead to a decrease in the heating load and an increase in the cooling load of residential buildings [32]. The average annual heating load in urban areas decreased by 10.29% and the average annual cooling load increased by 7.48% compared with rural areas. \(I_{UHI}\) is the main climatic factor affecting load variation. When \(I_{UHI}\) increases by 1 \({}^{\circ}\)C, the urban heating load decreases by 4.01 kWh/m\({}^{2}\), and cooling load increases by 1.05 kWh/m\({}^{2}\). According to the research of [PERSON] et al. [33], under the urban heat island effect, the energy consumption of building refrigeration is proportional to the size of the city. [PERSON] [34] studied the cooling load and maximum power consumption of buildings in different locations in the west of Athens, and the differences were 15-30% and 30-80%. [PERSON] [35] studied the energy consumption of buildings around and inside Rome, which increased by 12% and 46%, respectively. According to statistics [36], nonresidential buildings use 40 percent more energy than residential buildings, especially service buildings. Among all kinds of buildings, hospital buildings are particularly special in the aspect of air conditioning operation. Hospital air conditioning systems not only put forward strict requirements on indoor temperature and humidity but also need to ensure that the air is clean and sterile, in order to minimize the increase in energy consumption due to ventilation and ventilation times. Therefore, hospital building energy consumption simulation is more representative than other city building energy consumption simulations. Hospitals are public buildings, and the air conditioning energy consumption accounts for about 27% of total energy consumption [37]. In the total energy expenditure of hospital operation, the cost of the air conditioning system reaches more than 10% of the total cost of hospital operation. At the same time, the Energy Conservation Law, GB 50189-2015 \"Energy Conservation Design Standard for Public Buildings\", GB 19577-2015 \"Cold Water Functional Efficiency Limit and Energy efficiency level\" and other laws and regulationsand national mandatory standards have further promoted the development direction of air conditioning equipment energy conservation [38]. Building energy consumption cannot be calculated without the support of outdoor meteorological parameters [39]. However, in a rapidly warming climate, 30 years is too long a time for meteorological statistics to reflect climate trends and be effective in the design [40], planning, and decision making of climate services [41]. In the latest ASHRA [42], published in 2017, 25 years of meteorological data were used to determine the outdoor calculation parameters, which were conservatively shortened on a 30-year basis to take into account the effects of climate change by using the latest meteorological data to generate regularly updated outdoor calculation parameters. [PERSON] [43] used 20 years of hourly weather data from Athens, [PERSON] [44] used 7 years of hourly climate data from Nicosia, and [PERSON] [45] used 10 years of hourly weather data from Damascus. [PERSON] et al. [46] used 14 years of hourly meteorological data for Bandar Abbas to generate locally applicable outdoor calculation parameters. A research team from Tianjin University of China conducted a lot of research. Based on the two basic principles of determining the statistical duration, [PERSON] et al.