A Process Reference Model for the Virtual Application of Predictive Control Features

Author(s):  
Jacob Langner ◽  
Kai-Lukas Bauer ◽  
Marc Holzapfel ◽  
Eric Sax
2018 ◽  
Vol 11 (1) ◽  
pp. 147 ◽  
Author(s):  
Byung-Ki Jeon ◽  
Eui-Jong Kim ◽  
Younggy Shin ◽  
Kyoung-Ho Lee

The aim of this study is to develop a model that can accurately calculate building loads and demand for predictive control. Thus, the building energy model needs to be combined with weather prediction models operated by a model predictive controller to forecast indoor temperatures for specified rates of supplied energy. In this study, a resistance–capacitance (RC) building model is proposed where the parameters of the models are determined by learning. Particle swarm optimization is used as a learning scheme to search for the optimal parameters. Weather prediction models are proposed that use a limited amount of forecasting information fed by local meteorological centers. Assuming that weather forecasting was perfect, hourly outdoor temperatures were accurately predicted; meanwhile, differences were observed in the predicted solar irradiances values. In investigations to verify the proposed method, a seven-resistance, five-capacitance (7R5C) model was tested against a reference model in EnergyPlus using the predicted weather data. The root-mean-square errors of the 7R5C model in the prediction of indoor temperatures on all the specified days were within 0.5 °C when learning was performed using reference data obtained from the previous five days and weather prediction was included. This level of deviation in predictive control is acceptable considering the magnitudes of the loads and demand of the tested building.


1987 ◽  
Vol 20 (5) ◽  
pp. 221-226
Author(s):  
K. Najim ◽  
H. Djaroud ◽  
M.V. Le Lann ◽  
G. Casamatta ◽  
E. Irving

1995 ◽  
Vol 28 (8) ◽  
pp. 503-508
Author(s):  
V. Koncar ◽  
C. Vasseur ◽  
P. Bruniaux ◽  
D. Pinchon

2015 ◽  
Vol 16 (4) ◽  
pp. 2791-2798
Author(s):  
Tae-Wook Kang ◽  
Han-Soo Ryu ◽  
Jeong-Lim Ko ◽  
Hyun-Sang Choi

2013 ◽  
Vol 16 (1) ◽  
Author(s):  
Miguel E. Morales-Trujillo ◽  
Hanna Oktaba ◽  
Teresa Ventura ◽  
Rodrigo Torres

The spread of the interest and the need for process reference models, specifically for small and medium software development organizations, has been a catalyst for generating ISO/IEC 29110 Software Engineering — Lifecycle profiles for Very Small Entities. Based on the Mexican standard NMX-I-059-NYCE-2005, better known as MoProSoft, ISO/IEC 29110 is the first international standard specifically designed for very small entities.Thanks to the COMPETISOFT Project and MoProSoft, the background knowledge and models adoption experience have been introduced in Latin America. In Mexico more than 300 organizations have been evaluated in NMX-I-059-NYCE-2005, in 2009 MoProSoft became a national standard in Peru, while COMPETISOFT included the experience and viewpoints of 13 countries and 23 research groups of the region. As a whole, it gives small software development organizations in the region an advantage in adopting an international standard.This paper clarifies the gap between ISO/IEC 29110 and MoProSoft level 2. As a result of a theoretical and practical review both standards have been mapped defining the coverage level between processes, considering the defined tasks, work products and roles. Several recommendations have been suggested to bridge the gap between these standards. Finally, the effort needed to adopt the Basic Profile of the new international standard starting from the Mexican standard has been estimated. The results have been extended to also consider organizations that adopted COMPETISOFT as their process reference model.


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