In recent years, in the quest focused about energy conservative building design, as a high efficiencyair conditioning scheme, the variable air volume (VAV) systems owe their growing popularity in heating,ventilation and air conditioning (HVAC) applications. This paper reports the simulation study toinvestigate the inherent operational characteristics of direct expansion (DX) VAV air conditioning (A/C)unit when the supply air fan and compressor speeds are varied based on the thermal load persisting inthe conditioned space.
The authors have created a Neural-Fuzzy Assistant which acts as a Decision Support System and helps to perform quickly and easily the estimations of office building energy consumption. The Neural-Fuzzy Assistant presented in this paper allows the user to determine the impact of eleven building parameters on the electrical annual and monthly energy consumption, annual and monthly maximum electrical demand and cooling and heating annual consumption and demand.
The absolute necessity of air renewal to maintain indoor air quality and thermal comfort in buildingsfaces the major issue of energy consumption reduction and optimisation in building sector. Manystudies carried out so far point out the performances improved thanks to the recourse to ventilationstrategies and control algorithms in the aim of optimising the energy consumption of air renewal, butvery few of them could assess the performances in the particular case of large buildings despite thepotential energy gains it represents considering the great volume and huge air flow rates induced.