The development of the energy industry has an important impact on economic and social development, but is also faced with the effects of climate change and extreme climate events. In order to assess the impacts of climate change and weather disasters on energy output in northern China, a Cobb-Douglas (C-D in short) Production Function incorporating meteorological factors was adopted here. Our aim was to further expand production function and the reference beyond logarithm production function to data from 1987 to 2010 for dynamic analysis of energy industry output sensitivity to variation in meteorological conditions. We found that meteorological changes in northern China have different influence degrees and direction, but on the whole, output sensitivity has an influence on the energy industry. In terms of northern China, the influence of low temperature ice and snow disasters is greater than high temperatures,drought and flood disasters on the energy industry. From the perspective of historical change,sensitivity analyses of the energy output impacted by meteorological disasters in northern China is in line with the distribution and losses of related meteorological disaster of provinces and cities. We suggest construction of energy projects, energy transport, energy consumption, prevention priorities, disaster prevention system and several other components.