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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
2662017
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
832019
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
652019
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
502021
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
502020
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
272020
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
202022
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
192020
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
192019
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
182019
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
142022
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
102019
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
82022
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
52024
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
52023
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
32023
Novel approach to improved concrete strength for enhanced safety and durability of the nuclear power plant operation
S Burnham, Q Faure, J Tuttle, T Jevremovic
Proceedings of TOPSAFE, 2017
32017
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
22023
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
12023
Effects of input gradient regularization on neural networks time-series forecasting of thermal power systems
ER Gallup, J Tuttle, KM Powell
Computers & Chemical Engineering, 108787, 2024
2024
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