Results 191 to 200 of about 69,403 (277)
Some of the next articles are maybe not open access.

Chiller

ACM SIGMOD Record, 2021
Many computing researchers and practitioners may be surprised to find a "research highlight" which innovates on the way to process database transactions. Work in the early 1970s, by Turing winner Jim Gray and others, established a standard set of techniques for transaction management. These remain the basis of most commercial and open-source platforms [
openaire   +1 more source

Chiller fault detection and diagnosis with anomaly detective generative adversarial network

, 2021
Data augmentation is one of the necessary steps in the process of automated data-driven fault detection and diagnosis (FDD) for chillers, while real-world operational training samples are usually imbalanced. Faulty data samples are usually more difficult
Ke Yan
semanticscholar   +1 more source

Novel chiller fault diagnosis using deep neural network (DNN) with simulated annealing (SA)

, 2021
Effective chiller fault diagnosis is of great importance for maintaining a better service and energy efficiency. Deep learning proficiently solves some problems challenging Artificial Intelligence and becomes one of the excellent candidates for fault ...
Hua Han   +3 more
semanticscholar   +1 more source

Study on optimized adsorption chiller employing various heat and mass recovery schemes

, 2021
A typical commercial two-bed adsorption chiller using silica gel as adsorbent and water as adsorbate is simulated in the current study. Each of the two beds goes through four processes in one cycle, namely, adsorption, mass recovery, heat recovery, and ...
M. Muttakin   +4 more
semanticscholar   +1 more source

Chiller system optimization using k nearest neighbour regression

Journal of Cleaner Production, 2021
This study applies the k nearest neighbour (kNN) regression to ascertain optimal operating strategies for a chiller system, hence lowering its carbon emissions.
W. Ho, F. Yu
semanticscholar   +1 more source

Predicting chiller system performance using ARIMA-regression models

, 2021
A proper selection of predictor variables would enhance the exploratory analysis of time series models while prompting practical strategies to optimize chiller system performance.
W. Ho, F. Yu
semanticscholar   +1 more source

Least squares support vector machine (LS-SVM)-based chiller fault diagnosis using fault indicative features

Applied Thermal Engineering, 2019
Fault detection and diagnosis (FDD) of chillers, generally the single most energy consuming piece of building equipment, is an important but hard task where many parameters are involved, and the problem is always quite non-linear.
Hua Han   +3 more
semanticscholar   +1 more source

Dynamic performance analysis of a solar driving absorption chiller integrated with absorption thermal energy storage

Energy Conversion and Management, 2021
The use of a solar-powered absorption chiller for residential cooling is impeded by the instability and intermittency of solar energy with time. Integrating the absorption heat storage into the absorption refrigeration alleviates the mismatch between ...
Liu Meng   +3 more
semanticscholar   +1 more source

A method based on GA-LSSVM for COP prediction and load regulation in the water chiller system

, 2021
In this paper, a method based on least square support vector machine (LSSVM) and genetic algorithm (GA) is applied for the coefficient of performance (COP) prediction and the load regulation of each chiller in the water chiller system.
Xi Pan   +4 more
semanticscholar   +1 more source

Thermo-economic evaluation of a hybrid solar-gas driven and air-cooled absorption chiller integrated with hot water production by a transient modeling

, 2021
A cogeneration solar system for a building located in Sabzevar (Iran) is investigated in this study. In this system, a combination of a solar evacuated tube collector field and an auxiliary natural gas burner drive a single effect absorption chiller ...
E. A. Rad, V. Davoodi
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy