Results 81 to 90 of about 84,188 (293)
Energy Science &Engineering, EarlyView.This study employs the temporal fusion transformer (TFT) model to enhance the accuracy of energy output predictions for green energy sources across the Latin American countries and Canada. With a mean absolute percentage error (MAPE) of 1.76% and a root mean square error (RMSE) of 0.0173, the TFT model is better at making predictions than models like ...
Muhammad Shoaib Saleem +5 more
wiley +1 more source
Discussion: “The Thermal Performance of the Detroit Turbine Using Steam at 1000 F” (Carter, W. A., and Ellenwood, F. O., 1934, Trans. ASME, 56, pp. 477–489) [PDF]
, 1934 H. E. Keeler
+6 more sources
Steam turbine stress control using NARX neural network
Open Engineering, 2015 Considered here is concept of steam turbine stress control, which is based on Nonlinear AutoRegressive neural networks with eXogenous inputs. Using NARX neural networks,whichwere trained based on experimentally validated FE model allows to control ...
Dominiczak Krzysztof +2 more
doaj +1 more source
Condenser Pressure Influence on Ideal Steam Rankine Power Vapor Cycle using the Python Extension Package Cantera for Thermodynamics [PDF]
Condenser Pressure Influence on Ideal Steam Rankine Power Vapor
Cycle using the Python Extension Package Cantera for Thermodynamics.
Engineering, Technology & Applied Science Research. 14(3), 14069-14078, 2024This study investigates the Rankine vapor power thermodynamic cycle using steam/water as the working fluid, which is common in commercial power plants for power generation as the source of the rotary shaft power needed to drive electric generators. The four-process cycle version, which comprises a water pump section, a boiler/superheater section, a ...
arxiv +1 more source
DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a Real Steam Turbine System [PDF]
arXiv, 2022 In modern industrial systems, diagnosing faults in time and using the best methods becomes more and more crucial. It is possible to fail a system or to waste resources if faults are not detected or are detected late. Machine learning and deep learning have proposed various methods for data-based fault diagnosis, and we are looking for the most reliable
arxiv
Energetic optimization considering a generalization of the ecological criterion in traditional simple-cycle and combined cycle power plants [PDF]
, 2020 The fundamental issue in the energetic performance of power plants, working both as traditional fuel engines and as combined cycle turbine (gas-steam), lies in quantifying the internal irreversibilities which are associated with the working substance operating in cycles.
arxiv +1 more source
Energy Science &Engineering, EarlyView.ABSTRACT The present study examines the potential of green hydrogen production in Canada using biomass and waste resources. Considered biomass sources include urban waste, animal byproducts, forestry products and residue, crop residue, and purpose‐grown energy crops.
G. Kubilay Karayel, Ibrahim Dincer
wiley +1 more source
Rekayasa MesinSteam turbines are widely used at many industrial. The purpose of this research was to study the effect of load capacity on steam flow mass rate. Load Capacity is directly proportional to the steam flow mass rate to increase Steam turbine power.
Teddy Tratama +3 more
doaj +1 more source
发电技术, 2019 The bearing vibration of No.2, No.3, No.4, No.5, No.6 of a 600 MW supercritical steam turbine in a power plant is relatively large. In order to solve this problem, the intake mode of the steam turbine was changed by prolonging the operation time of the ...
Xiaojun HUANG, Xiangguo DU
doaj +1 more source
Enhancing Supply Chain Resilience: A Machine Learning Approach for Predicting Product Availability Dates Under Disruption [PDF]
arXiv, 2023 The COVID 19 pandemic and ongoing political and regional conflicts have a highly detrimental impact on the global supply chain, causing significant delays in logistics operations and international shipments. One of the most pressing concerns is the uncertainty surrounding the availability dates of products, which is critical information for companies ...
arxiv