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Modelica Buildings library
This article describes the Buildings library, a free open-source library that is implemented in Modelica, an equation-based object-oriented modelling language. The library supports rapid prototyping,Expand
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  • Open Access
Coupling indoor airflow, HVAC, control and building envelope heat transfer in the Modelica Buildings library
This paper describes a coupled dynamic simulation of an indoor environment with heating, ventilation, and air conditioning (HVAC) systems, controls and building envelope heat transfer. The coupledExpand
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  • Open Access
COMPARISONS OF BUILDING SYSTEM MODELING APPROACHES FOR CONTROL SYSTEM DESIGN
To design and evaluate advanced controls for buildings , building system models that can show detailed dynamics of feedback control loops are required. The models should also be computationallyExpand
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Recent Developments of the Modelica \Buildings" Library for Building Energy and Control Systems
At the Modelica 2009 conference, we introduced the Buildings library, a freely available Modelica library for building energy and control systems [16]. This paper reports the updates of the libraryExpand
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Genetic Algorithm for Building Optimization: State-of-the-Art Survey
Model-based building operation optimization can be used to reduce building energy consumption, so as to improve the indoor environment quality. Genetic Algorithm (GA) is one of the commonly usedExpand
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  • Open Access
MODELICA BUILDINGS LIBRARY 2.0
This paper presents an update about recent additions to the Modelica Buildings library. The Modelica Buildings library is a free open-source library with dynamic simulation models for building energyExpand
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  • Open Access
Building energy simulation coupled with CFD for indoor environment: A critical review and recent applications
Abstract This paper presents a comprehensive review of the open literature on motivations, methods and applications of linking stratified airflow simulation to building energy simulation (BES).Expand
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Multivariable adaptive control for a space station using genetic algorithms
The paper presents a design method of multivariable adaptive digital tracking PID controllers using genetic algorithms (GA) and its application to the attitude control and momentum management (ACMM)Expand
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Predictive Deployment of UAV Base Stations in Wireless Networks: Machine Learning Meets Contract Theory
In this paper, a novel framework is proposed to enable a predictive deployment of unmanned aerial vehicles (UAVs) as temporary flying base stations (BSs) to complement ground cellular systems in faceExpand
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Improved cooling tower control of legacy chiller plants by optimizing the condenser water set point
Abstract Achieving the optimal control of cooling towers is critical to the energy-efficient operation of current or legacy chiller plants. Although many promising control methods have been proposed,Expand
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