Open AccessA Review of HVAC System Optimization and Its Effects on Saving Total Energy Utilization of a Building
Author(s) -
Rajeanderan Revichandran,
Jaffar Syed Mohamed Ali,
Moumen Idres,
Abdul Kader Mohiuddin
Publication year - 2022
Publication title -
journal of advanced research in fluid mechanics and thermal sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.247
H-Index - 13
ISSN - 2289-7879
DOI - 10.37934/arfmts.93.1.6482
Subject(s) - hvac , reduction (mathematics) , reliability engineering , energy (signal processing) , thermal comfort , automotive engineering , optimization problem , indoor air quality , control engineering , engineering , computer science , air conditioning , simulation , control theory (sociology) , control (management) , statistics , mathematics , mechanical engineering , environmental engineering , artificial intelligence , algorithm , physics , geometry , thermodynamics
The paper illustrates the review on the optimizations studies of HVAC systems based on three main methods – HVAC operational variables optimization, optimization of control parameters in HVAC system and parameter optimization in building models. For the HVAC system’s operational variables, the optimization process is based on the common and prescient energy utilization models. Thus, by comparing both, the non-common HVAC system models can get better output of energy reduction. Based on most of the studies, the occupancies thermal comfort requirements, are represented by the indoor air quality (IAQ) or the predicted mean vote (PMV) indexes. Comparing both requirements, the PMV index had a better overall energy reduction output of 47% and estimated annual energy reduction of 2,769 kg/year. Meanwhile, in optimization of HVAC’s control parameters, its overall aim is to achieve a better response output of the HVAC system in order to prevent energy wastage. Among this different optimization’s controller, the fuzzy logic tuning optimization has a better overall energy reduction. On the other hand, the parameter optimization in building model approach is performed before the construction of the structure itself, where multiple construction parameters are considerations in the design. In overall, when different tools for building parameter and model optimization are compared, the EXRETopt by using PMV comfort index approximately reduces 62% of the energy utilization.