To simulate the vicious interaction between urban warming and increase of air conditioning energy demand predicted in Asian low-latitudinal cities, the authors improved their numerical combined model of urban climate and building energy consumption. As a case study, the model was applied to Delhi in dry season with a successful reproduction of temporal and spatial structure of surface air temperature distribution which was clarified through analyses of observed air temperature by use of new urban climatic land use classification 'local climate zone scheme'. Then the near future scenario in which the increases of population and per-capita energy demand were considered for Delhi was applied to the model. As a result, daily mean surface air temperatures in city areas were predicted to be increased by about 1°C in May. In addition, those temperature increases were also predicted to be mitigated only by about 0.1°C by introduction of heat island countermeasures like ground surface greening and albedo increase.