A review from design to control of solar systems for supplying heat in industrial process applications

被引:24
|
作者
Gil, Juan D. [1 ]
Topa, A. [1 ]
Alvarez, J. D. [1 ]
Torres, J. L. [2 ]
Perez, M. [3 ]
机构
[1] Univ Almeria, Dept Informat, CIESOL ceiA, Ctra Sacramento S-N, Almeria 04120, Spain
[2] Univ Almeria, Dept Engn, CIESOL ceiA3, Ctra Sacramento S-n, Almeria 04120, Spain
[3] Univ Almeria, Dept Chem & Phys, CIESOL ceiA3, Ctra Sacramento S-n, Almeria 04120, Spain
关键词
Solar thermal energy; Industrial process heat; Solar process heat; Sizing; Control techniques; THERMAL-ENERGY; COLLECTOR FIELDS; CONTROL SCHEMES; HYBRID SYSTEM; OPTIMIZATION; PLANT; INTEGRATION; SIMULATION; METHODOLOGY; TECHNOLOGIES;
D O I
10.1016/j.rser.2022.112461
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The use of solar thermal systems to produce heat for industrial processes is a feasible option that is gaining increasing interest in recent years as an initiative toward the zero-carbon energy future. This technology has a place in different processes, yet there is still no consensus on the main methods for sizing or controlling. The design requires the use of specific techniques due to the inconstant nature of solar energy as well as the heterogeneity of some industrial thermal demands. Nevertheless, despite starting from a particular system's design, the dynamic together with the hybrid and nonlinear behavior of the processes involved require adequate control techniques to provide the energy in a usable form and keep the system operating close to the design specifications. This paper presents a literature review concerning research works that address the design and control of solar thermal systems used in industrial contexts. The main objective is to analyze the different techniques used and to highlight their limits, usefulness, and the various industrial sectors where they were applied. The results of this analysis can be seen as a decision-making tool to select the most appropriate design or control strategy for these applications. It has been found that control techniques such as model predictive control can improve key performance metrics in daily operation. However, further development on these kinds of techniques and in holistic optimization methods that exploit the synergies between the operational and design phases is required.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Novel highly performing tandem selective solar absorber for industrial heat applications
    Farchado, Meryem
    Vicente, Gema San
    Barandica, Naia
    Morales, Angel
    SOLAR ENERGY MATERIALS AND SOLAR CELLS, 2025, 279
  • [22] Data-Driven Design and Optimization of Feedback Control Systems for Industrial Applications
    Zhang, Yong
    Yang, Ying
    Ding, Steven X.
    Li, Linlin
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 61 (11) : 6409 - 6417
  • [23] A Review of Multi-agent Systems Used in Industrial Applications
    Raileanu, Silviu
    Borangiu, Theodor
    12TH INTERNATIONAL WORKSHOP ON SERVICE ORIENTED, HOLONIC AND MULTI-AGENT MANUFACTURING SYSTEMS FOR INDUSTRY OF THE FUTURE, SOHOMA 2022, 2023, 1083 : 3 - 22
  • [24] From Simulation to Reality: IEC 61499 Compliant Control Applications for Solar Energy Systems
    Jakobi, Marc
    Stockli, Urs
    Meier, Luc
    Tjaden, Tjarko
    Quaschning, Volker
    PROCEEDINGS OF THE ISES EUROSUN 2018 CONFERENCE - 12TH INTERNATIONAL CONFERENCE ON SOLAR ENERGY FOR BUILDINGS AND INDUSTRY, 2018, : 1403 - 1412
  • [25] Design optimization and control approach for a solar-augmented industrial heating
    Tilahun, Fitsum Bekele
    Bhandari, Ramchandra
    Mamo, Mengesha
    ENERGY, 2019, 179 : 186 - 198
  • [26] Solar energy for combined production of electricity and industrial process heat
    Paes, Marcos Diego A. C.
    Lacerda de Souza, Leonardo Faustino
    Tiba, Chigueru
    PROCEEDINGS OF THE ISES SOLAR WORLD CONFERENCE 2019 AND THE IEA SHC SOLAR HEATING AND COOLING CONFERENCE FOR BUILDINGS AND INDUSTRY 2019, 2019, : 376 - 384
  • [27] Global advancement of solar thermal energy technologies for industrial process heat and its future prospects: A review
    Kumar, Laveet
    Hasanuzzaman, M.
    Rahim, N. A.
    ENERGY CONVERSION AND MANAGEMENT, 2019, 195 : 885 - 908
  • [28] Process mining and industrial applications: A systematic literature review
    Corallo, Angelo
    Lazoi, Mariangela
    Striani, Fabrizio
    KNOWLEDGE AND PROCESS MANAGEMENT, 2020, 27 (03) : 225 - 233
  • [29] Applications of software in solar drying systems: A review
    Chauhan, Prashant Singh
    Kumar, Anil
    Tekasakul, Perapong
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 51 : 1326 - 1337
  • [30] Hybrid System of Photovoltaic and Solar Thermal Technologies for Industrial Process Heat
    Rosales-Perez, Josue F.
    Villarruel-Jaramillo, Andres
    Romero-Ramos, Jose A.
    Perez-Garcia, Manuel
    Cardemil, Jose M.
    Escobar, Rodrigo
    ENERGIES, 2023, 16 (05)