Analyses of influence of residential buildings' space organization on heating energy consumption in Lhasa

The heating load simulation models of the residential buildings in Lhasa are established for enhancing the space organization’s adaptability to climate and radiation and improving its energy saving performance.The space organization items a e analyzed for both the existing buildings without insulation and new buildings with good insulation.The items include orientation design,south a d north balcony design,the north and south partition wall’s position design,storey height design and window-wall ratio design.Simulation results show that orientation is the key design element for energy saving design,and adverse orientation can obviouslyincrease heating energy consumption;south and north balconies can reduce winter heating energy consumption;partition walls move to the north,which means that the south room’s big depth design leads to less heating energy consumption,but the effect is not inconspicuous;smaier storey height results in less heating load.For the existing buildings,the window-wall ratio of south side has a balance point for energy saving design in the calculation condition.For the new buildings with good insulation,enlarging the south window-wal ratio can continuously reduce heating energy consumption,but the energy saving rate between models gets smaier.The heating energy consumption comparison study between the common model and optimal space design model demonstrates that the energy saving design can significantly reduce heating energy consumption

Identification method and empirical study of urban industrial spatial relationship based on POI big data: a case of Shenyang City, China

The industrial spatial relationship is a cross-cutting subject of economic geography and geographical information science which has considerable significance to promote a sustainable planning and development of regional economic system.Taking Shenyang City as our study area and using the location information of manufacturing units and automobile sales outlets extracted from points of interest(POI),we investigated the spatial relationship between the two industries from integration,correlation and coordination perspective.Based on spatial statistical analyses,the equipment manufacturing industry and the automobile sales industry in Shenyang City showed a spatial complementary integration,weak spatial correlation,and coordination with scale dependence and spatial heterogeneity in 2018.This distribution characteristic is attributed to:1)local policy factors(i.e.,that industrial land should be located in the periphery of the city or outside the Second Ring Road),and 2)the economic factors(i.e.,that the degree of dependence of the equipment manufacturing industry and automobile sales industry were also influenced by external factors such as costs).These results improved the current industrial spatial relationship analysis by developing a new framework based on POI big data in order to accelerate a coordinated development between manufacturing and service industries and to promote the construction of industrial ecosystem.