Most of steam power plants in Korea are using the method of heating the feed water whenever the ambient temperature around the power plant area below 5°C to prevent freezing water flowing in the pipe in winter time. But this kind of heat supplying system is not useful to save energy. If we take the method that the temperature of the each pipe is controled by direct measure of temperature by attaching sensor on the outside surface of the feed water tubes, then we can expect that a plenty of energy can be saved. In this study, the computer simulation is used to compare the energy consumption loads of both systems. Energy saving rate is calculated for the location of Incheon area in winter season. Four convection heat transfer coefficients for the ambient air and three initial flowing water temperature inside the tube were used. The result shows that the temperature control system using sensor represents more than 95% of energy saving rate in Incheon area. Even in the severe January weather condition, the energy saving rate is almost 75% in two days basis and even 83% in one day basis.

Most of steam power plant in Korea are heating the feed water system to prevent freezing water flowing in the pipe in winter time. The heating system is operated whenever the ambient temperature around the power plant area below 5 degree Centigrade. But this kind of heat supplying system cause a lot of energy consuming. If we think about the method that the temperature of the each pipe is controled by attaching the temperature measuring sensor like RTD sensor and heat is supplied only when the outer surface temperature of the pipe is under 5 degree Centigrade, then we can save a plenty of energy. In this study, the computer program package for simulation is used to compare the energy consumption load of both systems. Energy saving rate is calculated for the location of Youngweol area using the data of weather station in winter season, especially the January' severe weather data is analyzed for comparison. Various convection heat transfer coefficients for the ambient air and the flowing water inside the pipe was used for the accurate calculation. And also the various initial flowing water temperature was used for the system. Steady state analysis is done previously to approximate the result before the simulation. The result shows that the temperature control system using RTD sensor represents the high energy saving effect which is more than 90% of energy saving rate. Even in the severe January weather condition, the energy saving rate is almost 60%.

Purpose – Electrical energy saving is one of the practical virtues relating to sustainable living. Therefore, policy-makers has tried to find a way to change the behaviors of individuals to encourage them to actively practice electrical energy saving, even if they have never had this concern or have only passively practiced electrical energy saving to this point. Prior research related to electrical energy saving can be categorized into several types. The first is focused on consumer characteristics linked to electrical energy saving. These studies are based on individual or household socio-demographic variables (e.g., age, gender, household income, education level, occupants, marital status, number of households), and psycho-graphics (e.g., environmental consciousness, value, attitude, motivation, lifestyle). The second is focused on policies (e.g., monetary incentives, information sharing, social comparison, feedback), and technologies (e.g., energy-efficiency home appliances, energy-reduced products, renewable resources). People generally have a favorable attitude towards electrical energy saving, while electrical energy saving practices tend to be less favorable. Therefore, it is necessary for policy-makers to seek out gaps between attitudes and behaviors and find alternatives to reduce these gaps. This study investigates the influence of authenticity on the behavioral intention of electrical energy saving. It is supposed that electrical energy saving practices are likely to be stronger as authenticity of individual or household becomes stronger. This study reviews prior literature and examines various studies to provide an understanding of the relationships between authenticity and electrical energy saving behavioral intention. Research design, data, and methodology – Hypothesis was drawn from analysis based on previous research. The items related to authenticity and electrical energy saving were selected from items found in previous research. To verify this hypothesis, data were collected via experimental survey method and the resulting data were analyzed using reliability analysis, correlation analysis, and hierarchical regression analysis. Results – This study found that authenticity had a positive impact on the behavioral intention of electrical energy saving. The higher the perceived degree of authenticity, the higher the behavioral intention of electrical energy saving. Conclusions – This study assesses the impact of authenticity on the behavioral intention of electrical energy saving. In order to enhance the practice of electrical energy saving, it is efficient strategy for policy-maker to improve the perceived authenticity of individuals.