IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v164y2016icp607-619.html
   My bibliography  Save this article

An IoT-based energy-management platform for industrial facilities

Author

Listed:
  • Wei, Min
  • Hong, Seung Ho
  • Alam, Musharraf

Abstract

Interconnectivity and interoperability are very important features in the development of integrated energy management systems for industrial facilities. A simple and common strategy for exchanging energy-related information among the entities in a facility is currently lacking. To this end, the purpose of this study is to present an IoT-based communication framework with a common information model to facilitate the development of a demand response (DR) energy management system for industrial customers. Additionally, we developed and implemented an IoT-based energy-management platform based on a common information model and open communication protocols, which takes advantage of integrated energy supply networks to deploy DR energy management in an industrial facility. The experimental results of this study demonstrate that the proposed platform can not only improve the interconnectivity of the entities in industrial energy management systems but also reduce the energy costs of industrial facilities.

Suggested Citation

  • Wei, Min & Hong, Seung Ho & Alam, Musharraf, 2016. "An IoT-based energy-management platform for industrial facilities," Applied Energy, Elsevier, vol. 164(C), pages 607-619.
    • Handle: RePEc:eee:appene:v:164:y:2016:i:c:p:607-619
    DOI: 10.1016/j.apenergy.2015.11.107
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261915015883
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2015.11.107?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Siano, Pierluigi, 2014. "Demand response and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 461-478.
    2. Neves, Diana & Pina, André & Silva, Carlos A., 2015. "Demand response modeling: A comparison between tools," Applied Energy, Elsevier, vol. 146(C), pages 288-297.
    3. May, Gökan & Barletta, Ilaria & Stahl, Bojan & Taisch, Marco, 2015. "Energy management in production: A novel method to develop key performance indicators for improving energy efficiency," Applied Energy, Elsevier, vol. 149(C), pages 46-61.
    4. Finn, Paddy & Fitzpatrick, Colin, 2014. "Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricing," Applied Energy, Elsevier, vol. 113(C), pages 11-21.
    5. Swords, B. & Coyle, E. & Norton, B., 2008. "An enterprise energy-information system," Applied Energy, Elsevier, vol. 85(1), pages 61-69, January.
    6. Marzband, Mousa & Ghadimi, Majid & Sumper, Andreas & Domínguez-García, José Luis, 2014. "Experimental validation of a real-time energy management system using multi-period gravitational search algorithm for microgrids in islanded mode," Applied Energy, Elsevier, vol. 128(C), pages 164-174.
    7. Trianni, Andrea & Cagno, Enrico & Farné, Stefano, 2016. "Barriers, drivers and decision-making process for industrial energy efficiency: A broad study among manufacturing small and medium-sized enterprises," Applied Energy, Elsevier, vol. 162(C), pages 1537-1551.
    8. Rudberg, Martin & Waldemarsson, Martin & Lidestam, Helene, 2013. "Strategic perspectives on energy management: A case study in the process industry," Applied Energy, Elsevier, vol. 104(C), pages 487-496.
    9. Abdelaziz, E.A. & Saidur, R. & Mekhilef, S., 2011. "A review on energy saving strategies in industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 150-168, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sun, Alexander Y., 2020. "Optimal carbon storage reservoir management through deep reinforcement learning," Applied Energy, Elsevier, vol. 278(C).
    2. Fang, Shitong & Chen, Keyu & Lai, Zhihui & Zhou, Shengxi & Liao, Wei-Hsin, 2023. "Analysis and experiment of auxetic centrifugal softening impact energy harvesting from ultra-low-frequency rotational excitations," Applied Energy, Elsevier, vol. 331(C).
    3. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
    4. Christian Tipantuña & Xavier Hesselbach, 2020. "NFV-Enabled Efficient Renewable and Non-Renewable Energy Management: Requirements and Algorithms," Future Internet, MDPI, vol. 12(10), pages 1-31, October.
    5. Khaula Zeeshan & Timo Hämäläinen & Pekka Neittaanmäki, 2022. "Internet of Things for Sustainable Smart Education: An Overview," Sustainability, MDPI, vol. 14(7), pages 1-15, April.
    6. Francisco-Javier Ferrández-Pastor & Higinio Mora & Antonio Jimeno-Morenilla & Bruno Volckaert, 2018. "Deployment of IoT Edge and Fog Computing Technologies to Develop Smart Building Services," Sustainability, MDPI, vol. 10(11), pages 1-23, October.
    7. Li, Hongcheng & Yang, Dan & Cao, Huajun & Ge, Weiwei & Chen, Erheng & Wen, Xuanhao & Li, Chongbo, 2022. "Data-driven hybrid petri-net based energy consumption behaviour modelling for digital twin of energy-efficient manufacturing system," Energy, Elsevier, vol. 239(PC).
    8. Reka, S. Sofana & Dragicevic, Tomislav, 2018. "Future effectual role of energy delivery: A comprehensive review of Internet of Things and smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 90-108.
    9. Mohamed Haddouche & Adrian Ilinca, 2022. "Energy Efficiency and Industry 4.0 in Wood Industry: A Review and Comparison to Other Industries," Energies, MDPI, vol. 15(7), pages 1-25, March.
    10. Youmeng Wu & Hao Sun & Hongliang Sun & Chi Xie, 2022. "Impact of Public Environmental Concerns on the Digital Transformation of Heavily Polluting Enterprises," IJERPH, MDPI, vol. 20(1), pages 1-19, December.
    11. Stamatis Chrysikopoulos & Panos Chountalas, 2018. "Integrating energy and environmental management systems to enable facilities to qualify for carbon funds," Energy & Environment, , vol. 29(6), pages 938-956, September.
    12. Kerstin Fritzsche & Silke Niehoff & Grischa Beier, 2018. "Industry 4.0 and Climate Change—Exploring the Science-Policy Gap," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    13. Teng, Sin Yong & Touš, Michal & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav, 2021. "Recent advances on industrial data-driven energy savings: Digital twins and infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    14. Amir Abolhassani & Gale Boyd & Majid Jaridi & Bhaskaran Gopalakrishnan & James Harner, 2023. "“Is Energy That Different from Labor?” Similarity in Determinants of Intensity for Auto Assembly Plants," Energies, MDPI, vol. 16(4), pages 1-35, February.
    15. Rafsanjani, Hamed Nabizadeh & Ghahramani, Ali & Nabizadeh, Amir Hossein, 2020. "iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings," Applied Energy, Elsevier, vol. 266(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
    2. Perroni, Marcos G. & Gouvea da Costa, Sergio E. & Pinheiro de Lima, Edson & Vieira da Silva, Wesley & Tortato, Ubiratã, 2018. "Measuring energy performance: A process based approach," Applied Energy, Elsevier, vol. 222(C), pages 540-553.
    3. Solnørdal, Mette Talseth & Thyholdt, Sverre Braathen, 2019. "Absorptive capacity and energy efficiency in manufacturing firms – An empirical analysis in Norway," Energy Policy, Elsevier, vol. 132(C), pages 978-990.
    4. Naghmeh Taghavi, 2021. "Sustainable Development of Operations: Actors’ Involvement in the Process of Energy Efficiency Improvements," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    5. Mohammadi, Mohammad & Noorollahi, Younes & Mohammadi-ivatloo, Behnam & Hosseinzadeh, Mehdi & Yousefi, Hossein & Khorasani, Sasan Torabzadeh, 2018. "Optimal management of energy hubs and smart energy hubs – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 33-50.
    6. McPherson, Madeleine & Stoll, Brady, 2020. "Demand response for variable renewable energy integration: A proposed approach and its impacts," Energy, Elsevier, vol. 197(C).
    7. Fábio de Oliveira Neves & Henrique Ewbank & José Arnaldo Frutuoso Roveda & Andrea Trianni & Fernando Pinhabel Marafão & Sandra Regina Monteiro Masalskiene Roveda, 2022. "Economic and Production-Related Implications for Industrial Energy Efficiency: A Logistic Regression Analysis on Cross-Cutting Technologies," Energies, MDPI, vol. 15(4), pages 1-19, February.
    8. Derakhshan, Ghasem & Shayanfar, Heidar Ali & Kazemi, Ahad, 2016. "The optimization of demand response programs in smart grids," Energy Policy, Elsevier, vol. 94(C), pages 295-306.
    9. Alessandro Franco & Lorenzo Miserocchi & Daniele Testi, 2023. "Energy Indicators for Enabling Energy Transition in Industry," Energies, MDPI, vol. 16(2), pages 1-18, January.
    10. Salvatori, Simone & Benedetti, Miriam & Bonfà, Francesca & Introna, Vito & Ubertini, Stefano, 2018. "Inter-sectorial benchmarking of compressed air generation energy performance: Methodology based on real data gathering in large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 217(C), pages 266-280.
    11. Trianni, Andrea & Cagno, Enrico & Bertolotti, Matteo & Thollander, Patrik & Andersson, Elias, 2019. "Energy management: A practice-based assessment model," Applied Energy, Elsevier, vol. 235(C), pages 1614-1636.
    12. Xu Liu & Bo Shen & Lynn Price & Ali Hasanbeigi & Hongyou Lu & Cong Yu & Guanyun Fu, 2019. "A review of international practices for energy efficiency and carbon emissions reduction and lessons learned for China," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
    13. Milen Balbis Morejon & Juan Jose Cabello Eras & Alexis Sagastume Gutierrez & Vladimir Sousa Santos & Yabiel Perez Gomez & Juan Gabriel Rueda Bayona, 2019. "Factors Affecting the Electricity Consumption and Productivity of the Lead Acid Battery Formation Process. The Case of a Battery Plant in Colombia," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 103-112.
    14. Baxter Williams & Daniel Bishop & Patricio Gallardo & J. Geoffrey Chase, 2023. "Demand Side Management in Industrial, Commercial, and Residential Sectors: A Review of Constraints and Considerations," Energies, MDPI, vol. 16(13), pages 1-28, July.
    15. Andrea Trianni & Davide Accordini & Enrico Cagno, 2020. "Identification and Categorization of Factors Affecting the Adoption of Energy Efficiency Measures within Compressed Air Systems," Energies, MDPI, vol. 13(19), pages 1-51, October.
    16. Talari, Saber & Shafie-khah, Miadreza & Osório, Gerardo J. & Aghaei, Jamshid & Catalão, João P.S., 2018. "Stochastic modelling of renewable energy sources from operators' point-of-view: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1953-1965.
    17. Björn Christensen & Alexander Himme, 2017. "Improving environmental management accounting: how to use statistics to better determine energy consumption," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 227-243, May.
    18. Noor Jalo & Ida Johansson & Mariana Andrei & Therese Nehler & Patrik Thollander, 2021. "Barriers to and Drivers of Energy Management in Swedish SMEs," Energies, MDPI, vol. 14(21), pages 1-21, October.
    19. Mette Talseth Solnørdal & Lene Foss, 2018. "Closing the Energy Efficiency Gap—A Systematic Review of Empirical Articles on Drivers to Energy Efficiency in Manufacturing Firms," Energies, MDPI, vol. 11(3), pages 1-30, February.
    20. Zuberi, M. Jibran S. & Tijdink, Anton & Patel, Martin K., 2017. "Techno-economic analysis of energy efficiency improvement in electric motor driven systems in Swiss industry," Applied Energy, Elsevier, vol. 205(C), pages 85-104.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:164:y:2016:i:c:p:607-619. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.