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
1552017
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
302019
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
212019
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
122020
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
102019
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
82019
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
72020
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
42019
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
32021
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
12020
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, 0
1
Comparison of Dynamic and Steady-State Machine Learning Based Optimization of a Coal-Fired Boiler
L Blackburn, JF Tuttle, KM Powell
2020 Virtual AIChE Annual Meeting, 2020
2020
Comparison of State-of-the-Art Dynamic Machine Learning Methods for MPC of Coal-Fired Utility Generator Performance
JF Tuttle, L Blackburn, KM Powell
2020 Virtual AIChE Annual Meeting, 2020
2020
Long-Term Hybrid AI-Expert Combustion Optimization System for Coal-Fired Electricity Generation NOx Reduction
JF Tuttle, R Vesel, S Alagarsamy, L Blackburn, KM Powell
2020 Virtual AIChE Annual Meeting, 2020
2020
Dynamic Real-Time Optimization of a Coal-Fired Power Plant Using an Artificial Neural Network Model
JF Tuttle, M Safdarnejad, KM Powell
2018 AIChE Annual Meeting, 2018
2018
Application of a Data-Driven Modeling Approach to a Large-Scale Power Plant
SM Safdarnejad, JF Tuttle, KM Powell
2018 AIChE Annual Meeting, 2018
2018
A Novel Dynamic Simulation Methodology for High Temperature Packed-Bed Thermal Energy Storage
JF Tuttle, N White, KM Powell
2018 AIChE Annual Meeting, 2018
2018
ON-LINE CLASSIFICATION OF COAL COMBUSTION QUALITY USING NONLINEAR SVM FOR IMPROVED NEURAL NETWORK OPTIMIZER PERFORMANCE
JF Tuttle, LD Blackburn, KM Powell
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