Based on 48energy-saving and emission reduction technologies, a bottom-up integrated dynamic optimization model was developed with constraints of energy, water, SO₂, NO_x, and PM_2.5 reduction targets. This model, in which the energy and water demand, as well as SO₂, NO_x, and PM_2.5 emissions were predicted, was used to optimize the technology pathway of the iron and steel industry in the Beijing-Tianjin-Hebei region from 2015 to 2030. Results showed that 22technologies that presented co-control effects on energy, SO₂, NO_x, PM_2.5, and water, such as coke dry quenching and small pellet sintering, should be given priority in promotion. The model also predicted that implementation of 48technologies could potentially result in energy conservation and air emissions reduction in the iron and steel industry in the Beijing-Tianjin-Hebei region, and could save 1008million cubic meters of water by 2030. Although the cost of water accounts for only about 2% of the total industry cost, the water impacts of energy-saving and emission reduction technologies should be emphasized because apart from air pollution, water scarcity also poses a serious threat to the Beijing-Tianjin-Hebei region.