An improved approach of fault detection for chiller sensors is presented based on the sensitivity analysis for the original data set used to train the Principal Component Analysis (PCA) model. Sensor faults are inevitable due to the aging, environment, location and so on. Meanwhile, because of the wide range of operational conditions, the fault of a certain sensor is very difficult to be direct...

This study was conducted to determine the prevalence and antimicrobial resistance of Salmonella isolates recovered from processed poultry. Four hundred eighty pre- and postchill whole broiler chicken carcasses were collected from a poultry processing plant between July 2004 and June 2005. Water samples also were collected at the entrance and exit of the chiller. After preenrichment, carcass and...

Energy load forecasting for optimization of chiller operation is a topic that has been receiving increasing attention in recent years. From an engineering perspective, the methodology designing and deploying system should take into account several issues regarding prediction horizon, available data, selection variables, model adaptation. In this paper these are parsed to develop neural forecast...

Direct ground cooling systems (DGCS) can provide comfort to buildings without the use of any refrigeration-based methods. DGCS is an emerging technology, commonly used for new office in cold climates. This study aims evaluate energy-saving possibilities a compared conventional chiller system existing building. A typical Swedish building with chiller-based and need energy renovation taken as ref...

The experimental investigation of a centrifugal compresso r is carried out to improve HCFC123 compression performance. A CFCll c ompressor applying HCFC123 shows a lowered adiabatic head rise, efficie ncy, and volume flow. Another CFC!l compressor with HCFC123 and a modifie d impeller shows a result comparable to the CFCll compression case. A tan dem impeller is designed to cover the volume flo...

Intelligent diagnosis is an important means of ensuring the safe and stable operation chillers driven by big data. To address problems input feature redundancy in intelligent reliance on human intervention selection model parameters, a chiller fault method was developed this study based automatic machine learning. Firstly, improved max-relevance min-redundancy algorithm used to extract informat...

Preservation of comfort conditions for buildings’ occupants and minimization of energy consumption and cost are the main targets of the energy and indoor environment management systems. This paper aims to achieve those targets by presenting the optimal operation of chilling systems within the building supervisory control systems using fuzzy control instead of a conventional Programmable Logic C...