Minimizing Power Consumption of an Experimental HVAC System Based on Parallel Grid Searching

This paper proposes a parallel grid search algorithm to find an optimal operating point for minimizing the power consumption of an experimental heating, ventilating and air conditioning (HVAC) system. First, a multidimensional, nonlinear and non-convex optimization problem subject to constraints is...

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Main Authors: Wangqi Xiong, Jiandong Wang
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/8/2083
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author Wangqi Xiong
Jiandong Wang
author_facet Wangqi Xiong
Jiandong Wang
author_sort Wangqi Xiong
collection DOAJ
description This paper proposes a parallel grid search algorithm to find an optimal operating point for minimizing the power consumption of an experimental heating, ventilating and air conditioning (HVAC) system. First, a multidimensional, nonlinear and non-convex optimization problem subject to constraints is formulated based on a semi-physical model of the experimental HVAC system. Second, the optimization problem is parallelized based on Graphics Processing Units to simultaneously compute optimization loss functions for different solutions in a searching grid, and to find the optimal solution as the one having the minimum loss function. The proposed algorithm has an advantage that the optimal solution is known with evidence as to the best one subject to current resolutions of the searching grid. Experimental studies are provided to support the proposed algorithm.
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spelling doaj.art-bbed0e048531440ea85a5a0e9139cd022023-11-19T22:18:50ZengMDPI AGEnergies1996-10732020-04-01138208310.3390/en13082083Minimizing Power Consumption of an Experimental HVAC System Based on Parallel Grid SearchingWangqi Xiong0Jiandong Wang1College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, ChinaThis paper proposes a parallel grid search algorithm to find an optimal operating point for minimizing the power consumption of an experimental heating, ventilating and air conditioning (HVAC) system. First, a multidimensional, nonlinear and non-convex optimization problem subject to constraints is formulated based on a semi-physical model of the experimental HVAC system. Second, the optimization problem is parallelized based on Graphics Processing Units to simultaneously compute optimization loss functions for different solutions in a searching grid, and to find the optimal solution as the one having the minimum loss function. The proposed algorithm has an advantage that the optimal solution is known with evidence as to the best one subject to current resolutions of the searching grid. Experimental studies are provided to support the proposed algorithm.https://www.mdpi.com/1996-1073/13/8/2083HVAC systemspower consumption optimizationparallel computinggraphics processing unit
spellingShingle Wangqi Xiong
Jiandong Wang
Minimizing Power Consumption of an Experimental HVAC System Based on Parallel Grid Searching
Energies
HVAC systems
power consumption optimization
parallel computing
graphics processing unit
title Minimizing Power Consumption of an Experimental HVAC System Based on Parallel Grid Searching
title_full Minimizing Power Consumption of an Experimental HVAC System Based on Parallel Grid Searching
title_fullStr Minimizing Power Consumption of an Experimental HVAC System Based on Parallel Grid Searching
title_full_unstemmed Minimizing Power Consumption of an Experimental HVAC System Based on Parallel Grid Searching
title_short Minimizing Power Consumption of an Experimental HVAC System Based on Parallel Grid Searching
title_sort minimizing power consumption of an experimental hvac system based on parallel grid searching
topic HVAC systems
power consumption optimization
parallel computing
graphics processing unit
url https://www.mdpi.com/1996-1073/13/8/2083
work_keys_str_mv AT wangqixiong minimizingpowerconsumptionofanexperimentalhvacsystembasedonparallelgridsearching
AT jiandongwang minimizingpowerconsumptionofanexperimentalhvacsystembasedonparallelgridsearching