IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v285y2023ics0360544223028876.html
   My bibliography  Save this article

Evaluating the risks of the internet of things in renewable energy systems using a hybrid fuzzy decision approach

Author

Listed:
  • Hosseini Dehshiri, Seyyed Jalaladdin
  • Amiri, Maghsoud

Abstract

Using the Internet of Things (IoT) and its integration into Renewable Energy Systems (RES) leads to energy planning, management of energy consumption and demand, and, as a result, sustainably matches energy supply and demand. There are several risks in implementing and integrating IoT in RES, which is an obstacle to successfully implementing these systems. Therefore, this research aims to assess the risks of implementing IoT in RES based on the hybrid Multi-Criteria Decision-Making (MCDM) approach under uncertain conditions in Iran. In this study, to specify the importance of criteria, the Fuzzy Stepwise Weight Assessment Ratio Analysis (F-SWARA) method is utilized, and to assess the risks of IoT integration in RES, the usage of the Fuzzy Combined Compromise Solution (F-CoCoSo) method is suggested. The following examines the sensitivity analysis and validation with fuzzy WASPAS, fuzzy ARAS, and fuzzy TOPSIS techniques. The findings showed that the proposed approach had adequate robustness and flexibility for risk assessment, and risks of investment, infrastructure development, and privacy and security were introduced as the most critical risks.

Suggested Citation

  • Hosseini Dehshiri, Seyyed Jalaladdin & Amiri, Maghsoud, 2023. "Evaluating the risks of the internet of things in renewable energy systems using a hybrid fuzzy decision approach," Energy, Elsevier, vol. 285(C).
    • Handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223028876
    DOI: 10.1016/j.energy.2023.129493
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223028876
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129493?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. Bitencourt, Hugo Vinicius & de Souza, Luiz Augusto Facury & dos Santos, Matheus Cascalho & Silva, Rodrigo & de Lima e Silva, Petrônio Cândido & Guimarães, Frederico Gadelha, 2023. "Combining embeddings and fuzzy time series for high-dimensional time series forecasting in internet of energy applications," Energy, Elsevier, vol. 271(C).
    2. Adekoya, Oluwasegun B. & Kenku, Oluwademilade T. & Oliyide, Johnson A. & Al-Faryan, Mamdouh Abdulaziz Saleh & Ogunjemilua, Oluwafemi D., 2023. "Does economic complexity drive energy efficiency and renewable energy transition?," Energy, Elsevier, vol. 278(C).
    3. Sultana, Nahida & Tamanna, Marzia, 2022. "Evaluating the Potential and Challenges of IoT in Education and Other Sectors during the COVID-19 Pandemic: The Case of Bangladesh," Technology in Society, Elsevier, vol. 68(C).
    4. Kamble, Sachin S. & Gunasekaran, Angappa & Parekh, Harsh & Joshi, Sudhanshu, 2019. "Modeling the internet of things adoption barriers in food retail supply chains," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 154-168.
    5. Sunil Tiwari & Joanna Rosak-Szyrocka & Justyna Żywiołek, 2022. "Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India," Energies, MDPI, vol. 15(7), pages 1-20, March.
    6. Naser Hossein Motlagh & Mahsa Mohammadrezaei & Julian Hunt & Behnam Zakeri, 2020. "Internet of Things (IoT) and the Energy Sector," Energies, MDPI, vol. 13(2), pages 1-27, January.
    7. Seker, Sukran, 2022. "IoT based sustainable smart waste management system evaluation using MCDM model under interval-valued q-rung orthopair fuzzy environment," Technology in Society, Elsevier, vol. 71(C).
    8. Abdul Hasib Siddique & Sumaiya Tasnim & Fahim Shahriyar & Mehedi Hasan & Khalid Rashid, 2021. "Renewable Energy Sector in Bangladesh: The Current Scenario, Challenges and the Role of IoT in Building a Smart Distribution Grid," Energies, MDPI, vol. 14(16), pages 1-24, August.
    9. Morteza Yazdani & Pascale Zaraté & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2019. "A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems," Post-Print hal-02879091, HAL.
    10. Huiru Zhao & Sen Guo, 2014. "Selecting Green Supplier of Thermal Power Equipment by Using a Hybrid MCDM Method for Sustainability," Sustainability, MDPI, vol. 6(1), pages 1-19, January.
    11. Ding, Xuefeng & Gan, Qihong & Shaker, Mir Pasha, 2023. "Optimal management of parking lots as a big data for electric vehicles using internet of things and Long–Short term Memory," Energy, Elsevier, vol. 268(C).
    12. Moudgil, Vipul & Hewage, Kasun & Hussain, Syed Asad & Sadiq, Rehan, 2023. "Integration of IoT in building energy infrastructure: A critical review on challenges and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    13. Yang, Suyeon & Park, Sangchan, 2020. "The effects of renewable energy financial incentive policy and democratic governance on renewable energy aid effectiveness," Energy Policy, Elsevier, vol. 145(C).
    14. Hu, Changshuai & Du, Dan & Huang, Junbing, 2023. "The driving effect of energy demand evolution: From the perspective of heterogeneity in technology," Energy, Elsevier, vol. 275(C).
    15. Ullah, Zia & Rehman, Anis Ur & Wang, Shaorong & Hasanien, Hany M. & Luo, Peng & Elkadeem, Mohamed R. & Abido, Mohammad A., 2023. "IoT-based monitoring and control of substations and smart grids with renewables and electric vehicles integration," Energy, Elsevier, vol. 282(C).
    16. Solangi, Yasir Ahmed & Longsheng, Cheng & Shah, Syed Ahsan Ali, 2021. "Assessing and overcoming the renewable energy barriers for sustainable development in Pakistan: An integrated AHP and fuzzy TOPSIS approach," Renewable Energy, Elsevier, vol. 173(C), pages 209-222.
    17. Syed, Qasim Raza & Apergis, Nicholas & Goh, Soo Khoon, 2023. "The dynamic relationship between climate policy uncertainty and renewable energy in the US: Applying the novel Fourier augmented autoregressive distributed lags approach," Energy, Elsevier, vol. 275(C).
    18. Kumar, Anil & Agrawal, Rohit & Wankhede, Vishal A & Sharma, Manu & Mulat-weldemeskel, Eyob, 2022. "A framework for assessing social acceptability of industry 4.0 technologies for the development of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    19. Ali M. Eltamaly & Majed A. Alotaibi & Abdulrahman I. Alolah & Mohamed A. Ahmed, 2021. "IoT-Based Hybrid Renewable Energy System for Smart Campus," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    20. Tseng, Ming-Lang & Ardaniah, Viqi & Sujanto, Raditia Yudistira & Fujii, Minoru & Lim, Ming K., 2021. "Multicriteria assessment of renewable energy sources under uncertainty: Barriers to adoption," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    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. Hosseini Dehshiri, Seyyed Jalaladdin & Amiri, Maghsoud & Hosseini Bamakan, Seyed Mojtaba, 2024. "Evaluating the blockchain technology strategies for reducing renewable energy development risks using a novel integrated decision framework," Energy, Elsevier, vol. 289(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. Abdul Hasib Siddique & Mehedi Hasan & Sharnali Islam & Khalid Rashid, 2021. "Prospective Smart Distribution Substation in Bangladesh: Modeling and Analysis," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
    2. Hosseini Dehshiri, Seyyed Jalaladdin & Amiri, Maghsoud & Hosseini Bamakan, Seyed Mojtaba, 2024. "Evaluating the blockchain technology strategies for reducing renewable energy development risks using a novel integrated decision framework," Energy, Elsevier, vol. 289(C).
    3. Asante, Dennis & Ampah, Jeffrey Dankwa & Afrane, Sandylove & Adjei-Darko, Peter & Asante, Bismark & Fosu, Edward & Dankwah, Dennis Ampah & Amoh, Prince Oppong, 2022. "Prioritizing strategies to eliminate barriers to renewable energy adoption and development in Ghana: A CRITIC-fuzzy TOPSIS approach," Renewable Energy, Elsevier, vol. 195(C), pages 47-65.
    4. Sun, Yanpeng & Song, Yuru & Long, Chi & Qin, Meng & Lobonţ, Oana-Ramona, 2023. "How to improve global environmental governance? Lessons learned from climate risk and climate policy uncertainty," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1666-1676.
    5. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    6. Jinyi Hu, 2023. "Linguistic Multiple-Attribute Decision Making Based on Regret Theory and Minimax-DEA," Mathematics, MDPI, vol. 11(20), pages 1-14, October.
    7. Zhang, Lu & Cui, Li & Chen, Lujie & Dai, Jing & Jin, Ziyi & Wu, Hao, 2023. "A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 255(C).
    8. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    9. Athanasios Tsipis & Asterios Papamichail & Ioannis Angelis & George Koufoudakis & Georgios Tsoumanis & Konstantinos Oikonomou, 2020. "An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting," Energies, MDPI, vol. 13(14), pages 1-35, July.
    10. Germán Arana-Landín & Naiara Uriarte-Gallastegi & Beñat Landeta-Manzano & Iker Laskurain-Iturbe, 2023. "The Contribution of Lean Management—Industry 4.0 Technologies to Improving Energy Efficiency," Energies, MDPI, vol. 16(5), pages 1-19, February.
    11. Iwona Bąk & Anna Spoz & Magdalena Zioło & Marek Dylewski, 2021. "Dynamic Analysis of the Similarity of Objects in Research on the Use of Renewable Energy Resources in European Union Countries," Energies, MDPI, vol. 14(13), pages 1-24, July.
    12. Talan, Amogh & Rao, Amar & Sharma, Gagan Deep & Apostu, Simona-Andreea & Abbas, Shujaat, 2023. "Transition towards clean energy consumption in G7: Can financial sector, ICT and democracy help?," Resources Policy, Elsevier, vol. 82(C).
    13. Huiru Zhao & Nana Li, 2016. "Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods," Sustainability, MDPI, vol. 8(2), pages 1-22, January.
    14. Syed, Qasim Raza & Durani, Farah & Kisswani, Khalid M. & Alola, Andrew Adewale & Siddiqui, Aaliyah & Anwar, Ahsan, 2024. "Testing natural resource curse hypothesis amidst geopolitical risk: Global evidence using novel Fourier augmented ARDL approach," Resources Policy, Elsevier, vol. 88(C).
    15. Wei, Xuecheng & Hu, Weihua, 2023. "Revisiting resources curse hypothesis in China: Exploring the asymmetric effect of green investment and green innovation," Resources Policy, Elsevier, vol. 85(PB).
    16. M. Usman Saleem & Mustafa Shakir & M. Rehan Usman & M. Hamza Tahir Bajwa & Noman Shabbir & Payam Shams Ghahfarokhi & Kamran Daniel, 2023. "Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids," Energies, MDPI, vol. 16(12), pages 1-21, June.
    17. Huibing Cheng & Shanshui Zheng & Jianghong Feng, 2022. "A Fuzzy Multi-Criteria Method for Sustainable Ferry Operator Selection: A Case Study," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    18. Yongzheng Zhang & Chunming Ye & Xiuli Geng, 2022. "A Hesitant Fuzzy Method for Evaluating Risky Cold Chain Suppliers Based on an Improved TODIM," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    19. Yang, Zhenbing & Hao, Chunyan & Shao, Shuai & Chen, Zhuo & Yang, Lili, 2022. "Appropriate technology and energy security: From the perspective of biased technological change," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    20. Romero, Jaime & Cruz-Roche, Ignacio & Charron, Jean-Philippe, 2020. "The myth of price convergence under economic integration: A proposed explanation for the difference in food prices across European countries," European Management Journal, Elsevier, vol. 38(2), pages 267-276.

    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:energy:v:285:y:2023:i:c:s0360544223028876. 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.journals.elsevier.com/energy .

    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.