Indonesian Journal of Electrical Engineering and Computer Science Vol. 12, No. 2, November 2018, pp. 648~654 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v12.i2.pp648-654  648 Journal homepage: http://iaescore.com/journals/index.php/ijeecs Automated Calibration Of Greenhouse Energy Model Using Hybrid Evolutionary Programming (EP)-Energy Plus NY Dahlan, S Z Sakimin, M. Faizwan, N. Ajmain, AA Aris Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia Article Info ABSTRACT Article history: Received May 4, 2018 Revised Jul 5, 2018 Accepted Jul 19, 2018 This paper presents an optimization approach of calibrating a tomato greenhouse energy model using hybrid Evolutionary Programming (EP)- EnergyPlus. The proposed methodology applies automated simulation-based approach by coupling Matlab and EnergyPlus to perform building energy simulation and obtain the best variables configuration with minimal error between the simulated and measured energy of the greenhouse. The proposed method is tested using a tomato greenhouse system located in Universiti Putra Malaysia (UPM). The greenhouse envelope is built using 0.15mm thick Transparency Plastic Film. Meanwhile, the electrical loads in the greenhouse consists of 6 exhaust fans, 2 axial fans, 5 fluorescent lamps and 1 irrigation pump. An Evolutionary Programming (EP) algorithm is chosen and programmed in Matlab to find the best configurations for optimum calibration of the greenhouse energy model. Three variables were chosen to find the best configuration which are the operating hours of Exhaust Fan, Axial Fan and Water Pump. The EP optimization algorithm in Matlab is coupled with building energy simulator, EnergyPlus using BCVTB as the coupling tool. Result shows that the EnergyPlus-EP model can provide NMBE and CV(RMSE) within the range recommended by the IPMVP protocol. The proposed method is not only requiring less computation time but also effective in searching for the best variables configuration with minimal error. Keywords: Calibrated energy simulation Enery plus Evolutionary programming Greenhouse system Copyright © 2018 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: NY Dahlan Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia. Email: nofriyenita012@ppinang.uitm.edu.my 1. INTRODUCTION Automated calibration is a process that coupling the simulators to find the best variables configuration to an energy problem from available alternative configurations with desired objective function. Building simulation may involve a lot of parameters and variables including climate condition, HVAC, form and structure, operating schedule and electric equipment. Considering that, building involves non-linear interaction and complex function beyond human calculation capabilities. On the other hand, a great advancement in computational science and mathematical has been considered a bless in aiding the modelling, design, simulation and analysis. Energy Plus is an example of whole building simulator, which developed and funded by U.S Department of Energy (DOE) and has been widely employed to model both energy consumption and water use in a building. Currently there are 153 software listed out by DOE [1], including database, spreadsheets, components and system analysis that can be used to simulate building energy. However, most of the software listed can only be used for manual calibration method whereas users are expected to have a full complete and correct data in obtaining a precise baseline energy. This hypothetically, is time consuming and wasting processing power.