Paper Conference

Proceedings of ASim Conference 2012: 1st Asia conference of IBPSA-China, Japan, Korea

     

A case study of optimal operating strategy based on the real-time weather forecasting data

Younghoon Kwak, Sehwan Cheon, Jungmin Park, Cheolyong Jang, Jung-Ho Huh

Abstract: In addition to the MPC(Model Predictive Control) study in estimating in advance the control applicable to actual buildings based on a model in which a simulation tool is used, a variety of studies, including temperature control, lighting control, and operation strategy, have been conducted recently. Actual buildings are controlled and operated in the integrative mode, and, therefore, the impact of integrated operation and control should be investigated. Accordingly, a simulation framework, where it is possible to conduct real-time, integrated optimal operation, should be developed. The framework can make the simulation environment integrate real-time, building energy and optimal operation. This study developed the optimal operation framework for building energy based on real-time weather forecasting data. The real-time weather forecasting data was established so that the real-time forecasting data from KMA(Korea Meteorological Administration) can be used. Through the data, the weather file which is necessary to implement EnergyPlus and GenOpt was created. The optimal operating strategy was identified through a simulation-optimization approach by coupling a calibrated EnergyPlus simulation model coupled with GenOpt. The optimal value found through GenOpt could calculate the building energy necessary to facilitate optimal operation. The framework environment, where the real-time weather forecasting data, EnergyPlus, and GenOpt could be applied, was designed by using BCVTB(Building Control Virtual Test Bed), a middleware linking heterogeneous software. In order to test the framework developed in this study, a case study on seeking optimal zone set-point temperature was conducted. The boundary applicable to an actual building had limitations, so the object function was set to calculate minimum energy consumption. In the near future, energy reduction is expected to be implemented in actual buildings by applying the outcome identified through the simulation of this framework. *Corresponding author email: huhj0715@uos.ac.kr
Pages: 418 - 425
Paper:
asim2012_0078