skip to main content
10.1145/3641343.3641413acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiceitsaConference Proceedingsconference-collections
research-article

Solar Plant Fill Light Based on Time-Sharing Control

Authors Info & Claims
Published:29 April 2024Publication History

ABSTRACT

Existing plant filler lights generally have serious problems such as huge energy consumption, incomplete spectrum, mismatch with plant spectral demand, and poor sustainability. In order to solve these problems and to realize the concept of energy saving and intelligent management, this study proposes a solar-based plant fill light system for greenhouses. The system adopts the separate design of photovoltaic power generation and fill light control, and in order to improve the practicability of the plant fill light, we integrate the intelligent control technology as well as the Internet of Things (IoT) technology into the plant fill light. Combined with PC control, we are able to switch different spectra at any time following the different plants grown. Through numerical example analysis and experimental research, we verified the effectiveness of the system. The system successfully provides fill light function in greenhouses, further realizing the application of solar energy and optimizing energy use. This design provides a viable solution for supplemental light for greenhouse plants and helps to address the challenges of insufficient light, lack of sustainability and high labor costs for greenhouse plants.

References

  1. Wang X, He X, Sun X, 2024. The diffusion path of distributed photovoltaic power generation technology driven by individual behavior. Energy Reports, 11, 651-658.Google ScholarGoogle ScholarCross RefCross Ref
  2. Kwame A, Samuel G ,Mark A , 2024. Techno-economic analysis of solar PV electricity generation at the university of environment and sustainable development in Ghana. Energy Reports, 11659-673.Google ScholarGoogle Scholar
  3. Wei C, Ming L, Tingting P, 2023. Reliability-Based Model for Incomplete Preventive Replacement Maintenance of Photovoltaic Power Systems. School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China, 121(1):125-144.Google ScholarGoogle Scholar
  4. Machado G L, Nunes F B, Neira E J V, 2024. Hybrid electrical energy generation from hydropower, solar photovoltaic and hydrogen. International Journal of Hydrogen Energy, 53, 602-612.Google ScholarGoogle ScholarCross RefCross Ref
  5. Shahrier N S ,Haider B M ,Murad K M M , 2023. Enhancing Photovoltaic Power Generation through a Microcontroller-Driven Single-Axis Solar Tracker. Journal of Energy Research and Reviews,2023,15(3):103-115.Google ScholarGoogle ScholarCross RefCross Ref
  6. Jing Z, Menghan W, Qixian S, 2023. A new hybrid model for photovoltaic output power prediction. Environmental science and pollution research international, 30(58):122934-122957.Google ScholarGoogle Scholar
  7. Wong S ,Chen C ,Wu P. 2023. Blockchain Technology in Smart Cities and PhotovoltaicPower Generation: Opportunities and Challenges from aComputer Science Perspective. Journal of Smart Cities, 8(1):1-12.Google ScholarGoogle Scholar
  8. Cuiping Z, Yi Z,Jiajie Z, 2021. Enhanced luminescence performances of BaLaMgTaOsub6/sub:Mnsup4+/sup red phosphor by Bisup3+/sup, Casup2+/sup doping for indoor plant lighting supplementary LED. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 268120655-120655.Google ScholarGoogle Scholar
  9. Wang W Y, Zhang B, Kai C. 2014. Design and Development of Intelligent LED Plant Light Supplement System Based on Solar-Powered for Facility Agriculture. Applied Mechanics and Materials, 3546(672-674):26-29.Google ScholarGoogle Scholar
  10. Tiancheng O, Wuhao W, Xianlin T, 2023. Multi-criteria assessment of a new energy-saving and environmentally-friendly scheme for natural gas-fired power plants. Gas Science and Engineering 113Google ScholarGoogle Scholar
  11. Zhang L, Qu B, Zhu Q, 2023. Multi-objective load dispatching and monitoring analysis of main pollution sources for power energy conservation and environmental protection. Journal of Biotech Research, 15308-315.Google ScholarGoogle Scholar
  12. Mahalekshmi T, Maruthupandi P. 2022. Multiobjective Economic/Environmental Dispatch Using Harris Hawks Optimization Algorithm. Intelligent Automation Soft Computing, 36(1):445-460.Google ScholarGoogle ScholarCross RefCross Ref
  13. A. K H,O. E E ,S. A S, 2022. Energy saving and environment protection solution for the submarine pipelines based on deep learning technology. Energy Reports, 8(S9):1261-1274.Google ScholarGoogle Scholar
  14. Shanshan L, Yujie W, Yuannan Z, 2022. Research on Energy Saving and Environmental Protection Management Evaluation of Listed Companies in Energy Industry Based on Portfolio Weight Cloud Model. Energies, 15(12):4311-4311.Google ScholarGoogle ScholarCross RefCross Ref
  15. J. S, R. K. Harmonic mitigation in a hybrid system using intelligent control methods. International Journal of Ambient Energy, 44(1):867-879.Google ScholarGoogle Scholar
  16. Ji Xinhua. 2022. New exploration on the utilization of energy-saving and environmental protection construction technology in building engineering construction. Proceedings of 2022 Engineering Technology Innovation and Management Seminar(ETIMS 2022). DOI:10.26914/c.cnkihy.2022.075511Google ScholarGoogle ScholarCross RefCross Ref
  17. Duy-Khuong L, Ho-Nam V, Chanachai T, 2024. A multi-physical coupling isogeometric formulation for nonlinear analysis and smart control of laminated CNT-MEE plates. Engineering Analysis with Boundary Elements, 15936-57.Google ScholarGoogle Scholar
  18. Li Peng, Wang Fangli. 2022. Exploration of energy saving measures for greenhouse production operation. Agricultural Engineering Technology, 42(07):28-32.DOI:10.16815/j.cnki.11-5436/s.2022.07.005Google ScholarGoogle ScholarCross RefCross Ref

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    ICEITSA '23: Proceedings of the 3rd International Conference on Electronic Information Technology and Smart Agriculture
    December 2023
    541 pages
    ISBN:9798400716775
    DOI:10.1145/3641343

    Copyright © 2023 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 29 April 2024

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited
  • Article Metrics

    • Downloads (Last 12 months)1
    • Downloads (Last 6 weeks)1

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format