As a countermeasure to the greenhouse gas problem, the world is focusing on alternative fuel vehicles (AFVs). The most prominent alternatives are battery electric vehicles (BEV) and fuel cell electric vehicles (FCEVs). This study examines FCEVs, especially considering hydrogen refueling stations to fill the gap in the research. Many studies suggest the important impact that infrastructure has on the diffusion of AFVs, but they do not provide quantitative preferences for the design of hydrogen refueling stations. This study analyzes and presents a consumer preference structure for hydrogen refueling stations, considering the production method, distance, probability of failure to refuel, number of dispensers, and fuel costs as core attributes. For the analysis, stated preference data are applied to choice experiments, and mixed logit is used for the estimation. Results indicate that the supply stability of hydrogen refueling stations is the second most important attribute following fuel price. Consumers are willing to pay more for green hydrogen compared to gray hydrogen, which is hydrogen produced by fossil fuels. Driver fuel type and perception of hydrogen energy influence structure preference. Our results suggest a specific design for hydrogen refueling stations based on the characteristics of user groups.

Owing to global warming, ice in the Arctic Ocean has shrunk by 2.7% every 10 years since 1978, resulting in tremendous damage. This study uses the Cobb–Douglas production function to analyze the impact of abnormal weather on energy industry production using temperature and precipitation indicators. In particular, the government identified the impact of abnormal weather conditions on manufacturing and public works related to the Korean energy industry. The results showed that the numbers of freezing days and heavy rain days adversely affect public works, whereas hot and cold days and heavy rain days all positively affect the production of coal, petroleum, and chemical products. These results also led to regional risk assessments of the energy industry. This study can help in developing the 2030 industry climate change adaptation plan.

Global warming concerns have emphasized the need for carbon neutrality. Improving the efficiency of the electricity industry is one method of reducing CO2 emissions. There is a demand response policy that trades the saved electricity through voluntary adjustment of consumption patterns. The introduction of real-time pricing (RTP) based on advanced power supply systems is a method of transitioning to a demand-oriented power system. However, as Korea's power supply system is a relatively less efficient single-rate system, it is necessary to improve the efficiency of demand management. To transition to a demand-oriented power system in Korea, consumer preference is first investigated. This study evaluates the willingness to pay (WTP) for the introduction of RTP in Korea. Based on a survey of 500 households using the contingent valuation method, the monthly average WTP was found to be 2465 Korean won per household ($2.18 per household), which is approximately 7.8% of the electricity rate. Several additional factors influencing WTP were analyzed. Further analysis indicated that it is more effective to establish infrastructure for introducing RTP in local areas with low average electricity rates. These findings are beneficial for the development of future demand response policies.