Paper Conference

Proceedings of ASim Conference 2014: 2nd Asia conference of IBPSA-China, Japan, Korea

     

Study of Automated Demand Response with use of Application for Estimation of Amount of Demand Restraint and Effect on Indoor Environment

Masato Kawano, Naohiro Tamaki, Takeshi Watanabe

Abstract: Since the Great East Japan Earthquake, various measures have been studied and implemented for the tight supply-demand balance. Demand Response (DR) is a method of suppressing temporarily the power demand. The customer is notified of incentives for power saving of a specified time and changing of electricity price, and determines whether or not to cooperate. DR is one of the effective measures. However, in terms of influence of the building environment, operation and climate change, existing methods is not performed efficiently. Therefore, in this study, we developed a system that can predict the thermal environmental change and the negawatt at that time with the use of predicting air conditioning loads by the weather forecast and nu-merical simulation analysis. In order to confirm the effect and operation of the system, we carried out demonstration experiment from August to September 2013 for the actual building in cooperation with the electric power company and the customer. Then, electric power company has requested a reduction in 19kwh / (30min) to the customer. In this demonstration experiment, we verify the effects to control an air conditioning apparatus by the simplest and lightest treatment, while preventing the comfortableness of residents from being damaged, when making an electric control as a demand response function. We are confirmed that the impact of DR in the indoor environment is not so much from the temperature rise in the DR time zone, for the temperature rise in DR time zone was 0.3 ~ 0.6 deg C a certain level. In this paper, we report summary of the demonstration experiment and the results of an attempt to apply to the system we developed for the actual building.
Keywords: Demand response, BEMS, Indoor environmental evaluation
Pages: 706 - 711
Paper:
asim2014_152_c4-29-300