Follow
Jacob F Tuttle
Jacob F Tuttle
Research, Development, & Application, Griffin Open Systems LLC
Verified email at chemeng.utah.edu
Title
Cited by
Cited by
Year
Hybrid concentrated solar thermal power systems: A review
KM Powell, K Rashid, K Ellingwood, J Tuttle, BD Iverson
Renewable and Sustainable Energy Reviews 80, 215-237, 2017
2472017
Dynamic modeling and optimization of a coal-fired utility boiler to forecast and minimize NOx and CO emissions simultaneously
SM Safdarnejad, JF Tuttle, KM Powell
Computers & Chemical Engineering 124, 62-79, 2019
712019
Sustainable NOx emission reduction at a coal-fired power station through the use of online neural network modeling and particle swarm optimization
JF Tuttle, R Vesel, S Alagarsamy, LD Blackburn, K Powell
Control Engineering Practice 93, 104167, 2019
562019
A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling
JF Tuttle, LD Blackburn, K Andersson, KM Powell
Applied Energy 292, 116886, 2021
452021
On-line classification of coal combustion quality using nonlinear SVM for improved neural network NOx emission rate prediction
JF Tuttle, LD Blackburn, KM Powell
Computers & chemical engineering 141, 106990, 2020
432020
Real-time optimization of multi-cell industrial evaporative cooling towers using machine learning and particle swarm optimization
LD Blackburn, JF Tuttle, KM Powell
Journal of Cleaner Production 271, 122175, 2020
242020
A novel dynamic simulation methodology for high temperature packed-bed thermal energy storage with experimental validation
JF Tuttle, N White, K Mohammadi, K Powell
Sustainable Energy Technologies and Assessments 42, 2020
182020
Analysis of a thermal generator’s participation in the Western Energy Imbalance Market and the resulting effects on overall performance and emissions
JF Tuttle, KM Powell
The Electricity Journal 32 (5), 38-46, 2019
172019
Analysing the benefits of hybridisation and storage in a hybrid solar gas turbine plant
K Ellingwood, SM Safdarnejad, H Kovacs, JF Tuttle, K Powell
International Journal of Sustainable Energy 38 (10), 937-965, 2019
152019
Dynamic energy system modeling using hybrid physics-based and machine learning encoder–decoder models
D Machalek, J Tuttle, K Andersson, KM Powell
Energy and AI 9, 100172, 2022
132022
Development of novel dynamic machine learning-based optimization of a coal-fired power plant
LD Blackburn, JF Tuttle, K Andersson, A Fry, KM Powell
Computers & Chemical Engineering 163, 107848, 2022
112022
Development of a roadmap for dynamic process intensification by using a dynamic, data-driven optimization approach
SM Safdarnejad, JF Tuttle, KM Powell
Chemical Engineering and Processing-Process Intensification 140, 100-113, 2019
82019
Dynamic machine learning-based optimization algorithm to improve boiler efficiency
LD Blackburn, JF Tuttle, K Andersson, JD Hedengren, KM Powell
Journal of Process Control 120, 129-149, 2022
52022
Novel approach to improved concrete strength for enhanced safety and durability of the nuclear power plant operation
S Burnham, T Jevremovic, Q Faure, J Tuttle
Proceedings of TOPSAFE, 2017
32017
A review on the application of machine learning for combustion in power generation applications
K Mohammadi, J Immonen, LD Blackburn, JF Tuttle, K Andersson, ...
Reviews in Chemical Engineering 39 (6), 1027-1059, 2023
22023
Ash aerosol particle size distribution, composition, and deposition behavior while co-firing coal and steam-exploded biomass in a 1.5 MWth combustor
R Roy, B Schooff, X Li, S Montgomery, J Tuttle, JOL Wendt, K Dickson, ...
Fuel Processing Technology 243, 107674, 2023
22023
Mill Power Consumption and Fuel Particle Size Distribution While Co-Milling Bituminous Coal with Steam Exploded Woody Biomass in a Conventional Bowl Mill
B Schooff, R Roy, R Kuttler, S Montgomery, J Tuttle, G Bennett, ...
Available at SSRN 4579859, 2023
12023
Synergistic reduction of SO2 emissions while co-firing biomass with coal in pilot-scale (1.5 MWth) and full-scale (471 MWe) combustors
R Roy, S Bandi, X Li, B Schooff, R Kuttler, M Aichele, S Montgomery, ...
Fuel 358, 130191, 2024
2024
Creating an Advanced Sensor Network to calculate real-time, mass-weighted flue gas composition and air heater leakage of a coal-fired utility boiler under dynamic operating …
K Stewart, C Moran, K Powell, J Tuttle, A Fry
Journal of Process Control 129, 103051, 2023
2023
Development and Application of Intelligent Combustion Control for Emission Reduction and Efficiency Improvements due to New Operating Practices of Coal-Fired Power Plants
JF Tuttle
The University of Utah, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20