Results 21 to 30 of about 23,083,271 (253)

Selection of Input Factors and Comparison of Machine Learning Models for Prediction of Dissolved Oxygen in Gyeongan Stream

open access: yes대한환경공학회지, 2021
Objectives : In this study, we select input factors for machine learning models to predict dissolved oxygen (DO) in Gyeongan Stream and compare results of performance evaluation indicators to find the optimal model.
Min Ji Kim   +3 more
doaj   +1 more source

Design and Verification of the LQR Controller Based on Fuzzy Logic for Large Wind Turbine

open access: yesEnergies, 2021
In this study, a linear quadratic regulator based on the fuzzy logic (LQRF) control algorithm for a variable-speed variable-pitch wind turbine was designed.
Taesu Jeon, Insu Paek
doaj   +1 more source

Design and Validation of Demanded Power Point Tracking Control Algorithm for MIMO Controllers in Wind Turbines

open access: yesEnergies, 2021
In this study, a demanded power point tracking (DPPT) control algorithm was designed for the application of multiple-input multiple-output (MIMO) modern control algorithms.
Taesu Jeon   +3 more
doaj   +1 more source

Data-Driven Degradation Modeling and SOH Prediction of Li-Ion Batteries

open access: yesEnergies, 2022
Electrified vehicles (EV) and marine vessels represent promising clean transportation solutions to reduce or eliminate petroleum fuel use, greenhouse gas emissions and air pollutants.
Bo Pang, Li Chen, Zuomin Dong
doaj   +1 more source

A systemic approach to analyze integrated energy system modeling tools: A review of national models [PDF]

open access: yes, 2020
We reviewed the literature focusing on nineteen integrated Energy System Models (ESMs) to: (i) identify the capabilities and shortcomings of current ESMs to analyze adequately the transition towards a low-carbon energy system; (ii) assess the performance
Faaij, A., Sijm, J., Fattahi, A.
core   +2 more sources

Linear programing formulation of a high temporal and technological resolution integrated energy system model for the energy transition [PDF]

open access: yes, 2022
Models with a wide technological representation of energy systems can hardly adopt hourly resolutions to study the energy transition towards low-carbon technologies due to extended problem size.
Sánchez Diéguez, Manuel; id_orcid   +5 more
core   +2 more sources

Oxidative Treatments of Pesticides in Rainwater Runoff by HOCl, O3, and O3/H2O2: Effects of pH, Humic Acids and Inorganic Matters

open access: yesSeparations, 2021
This study systematically investigated the oxidative treatment of five selected pesticides, alachlor (ALA), carbendazim (CAR), diuron (DIU), pyrimethanil (PYR), and tebuconazole (TEB), by comparing their relative reactivities as a function of three ...
Duuriimaa Ochir   +5 more
doaj   +1 more source

Review of the development of the probabilistic damage tolerance assessment of life-limited parts in compliance with the airworthiness regulations

open access: yesPropulsion and Power Research, 2023
Probabilistic damage tolerance is a critical method to understand and communicate risk and safety. This paper reviews recent research on the probabilistic damage tolerance design for life-limited parts.
Shuiting Ding   +4 more
doaj   +1 more source

Hierarchical predictive control scheme for distributed energy storage integrated with residential demand and photovoltaic generation [PDF]

open access: yes, 2015
A hierarchical control scheme is defined for the energy management of a battery energy storage system which is integrated in a low-voltage distribution grid with residential customers and photovoltaic installations. The scope is the economic optimisation
Garoufalis, P.   +5 more
core   +2 more sources

Modeling fuel cells in integrated multi-energy systems [PDF]

open access: yes, 2017
This contribution investigates how different technology modeling methodologies affect the design of decentralized multi-energy systems, especially when fuel cell and energy storage are considered.
Mazzotti, Marco   +7 more
core   +1 more source

Home - About - Disclaimer - Privacy