Solar Field Output Temperature Optimization Using a MILP Algorithm and a 0D Model in the Case of a Hybrid Concentrated Solar Thermal Power Plant for SHIP Applications
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Solar Field Output Temperature Optimization Using a MILP Algorithm and a 0D Model in the Case of a Hybrid Concentrated Solar Thermal Power Plant for SHIP Applications
Authors
Keywords
-
Journal
Energies
Volume 14, Issue 13, Pages 3731
Publisher
MDPI AG
Online
2021-06-23
DOI
10.3390/en14133731
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Temperature control in 5th generation district heating and cooling networks: An MILP-based operation optimization
- (2021) Marco Wirtz et al. APPLIED ENERGY
- Thermo-economic and exergy analysis and optimization of small PTC collectors for solar heat integration in industrial processes
- (2020) Mokhtar Ghazouani et al. RENEWABLE ENERGY
- Solar for industrial process heat: A review of technologies, analysis approaches, and potential applications in the United States
- (2020) Carrie A. Schoeneberger et al. ENERGY
- Process intensification of solar thermal power using hybridization, flexible heat integration, and real-time optimization
- (2019) Khalid Rashid et al. CHEMICAL ENGINEERING AND PROCESSING
- Design optimization and control approach for a solar-augmented industrial heating
- (2019) Fitsum Bekele Tilahun et al. ENERGY
- Stochastic optimal dispatch of integrating concentrating solar power plants with wind farms
- (2019) Shuqiang Zhao et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Global advancement of solar thermal energy technologies for industrial process heat and its future prospects: A review
- (2019) Laveet Kumar et al. ENERGY CONVERSION AND MANAGEMENT
- Dispatch optimization of concentrating solar power with utility-scale photovoltaics
- (2019) William T. Hamilton et al. OPTIMIZATION AND ENGINEERING
- A novel means to flexibly operate a hybrid concentrated solar power plant and improve operation during non-ideal direct normal irradiation conditions
- (2019) Kevin Ellingwood et al. ENERGY CONVERSION AND MANAGEMENT
- A decomposition algorithm for simultaneous scheduling and control of CSP systems
- (2018) Alexander W. Dowling et al. AICHE JOURNAL
- Operation optimization strategy for wind-concentrated solar power hybrid power generation system
- (2018) Yong Yang et al. ENERGY CONVERSION AND MANAGEMENT
- Optimizing dispatch for a concentrated solar power tower
- (2018) Michael J. Wagner et al. SOLAR ENERGY
- Comparison of three different approaches for the optimization of the CSP plant scheduling
- (2017) Mario Petrollese et al. SOLAR ENERGY
- Mixed integer linear programming for the design of solar thermal energy systems with short-term storage
- (2016) Akomeno Omu et al. APPLIED ENERGY
- A novel two-model based approach for optimal scheduling in CSP plants
- (2016) Manuel Jesús Vasallo et al. SOLAR ENERGY
- Optimal Offering Strategy for Concentrating Solar Power Plants in Joint Energy, Reserve and Regulation Markets
- (2016) Guannan He et al. IEEE Transactions on Sustainable Energy
- Robust optimisation for self-scheduling and bidding strategies of hybrid CSP–fossil power plants
- (2015) H.M.I. Pousinho et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Self-scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach
- (2014) H.M.I. Pousinho et al. ENERGY
- Comparison of Linear Fresnel and Parabolic Trough Collector power plants
- (2011) Gabriel Morin et al. SOLAR ENERGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started