Technology Solutions for Circular Economy: Comparison
Please note this is a comparison between Version 2 by Nora Tang and Version 1 by Konstantinos Demestichas.

The concept of circular economy (CE) is becoming progressively popular with academia, industry, and policymakers, as a potential path towards a more sustainable economic system. Information and communication technology (ICT) systems have influenced every aspect of modern life and the CE is no exception. Cutting-edge technologies, such as big data, cloud computing, cyber-physical systems, internet of things, virtual and augmented reality, and blockchain, can play an integral role in the embracing of CE concepts and the rollout of CE programs by governments, organizations, and society as a whole. There are many ICT solutions found in the literature, which can pave the way towards a CE. The categorization of these solutions can be done either from a technological perspective (e.g., communications, computing, data analysis, etc.), or from the viewpoint of the main CE concept(s) (i.e., reduce, reuse, recycle and restore) that each solution is most relevant to. ICT solutions related to data collection and data analysis, and in particular to the Internet of Things, blockchain, digital platforms, artificial intelligence algorithms, and software tools, are amongst the most popular solutions proposed by academic researchers. Also, greater emphasis is placed on the “reduce” component of the CE, although ICT solutions for the other “R” components, as well as holistic ICT-based solutions, do exist as well. Specific important challenges impeding the adoption of ICT solutions for the CE also exist, especially related to consumer and business attitude, economic costs, possible environmental impacts, lack of education around the CE, and lack of familiarization with modern technologies being found among the most prominent ones.

  • ICT
  • Circular Economy
  • IoT
  • Big Data
  • Blockchain
  • Artificial Intelligence
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References

  1. Ghisellini, P.; Cialani, C.; Ulgiati, S. A review on circular economy: The expected transition to a balanced interplay of environmental and economic systems. J. Clean. Prod. 2016, 114, 11–32.
  2. Sukhdev, A.; Vol, J.; Brandt, K.; Yeoman, R. Cities in the Circular Economy: The Role of Digital Technology; Ellen MacArthur Foundation: Cowes, UK, 2018.
  3. Potting, J.; Hekkert, M.P.; Worrell, E.; Hanemaaijer, A. Circular Economy: Measuring Innovation in Product Chains; PBL Netherlands Environmental Assessment Agency: The Hague, The Netherlands, 2017.
  4. Maťová, H.; Kaputa, V.; Triznová, M. Responsible Consumer in the context of Circular Economy. In Proceedings of the Conference on Digitalisation and Circular Economy, Varna, Bulgaria, 11–13 September 2019; pp. 69–74.
  5. Jawahir, I.; Bradley, R. Technological Elements of Circular Economy and the Principles of 6R-Based Closed-loop Material Flow in Sustainable Manufacturing. Procedia CIRP 2016, 40, 103–108.
  6. Kirchherr, J.; Reike, D.; Hekkert, M. Conceptualizing the Circular Economy: An Analysis of 114 Definitions. Resour. Conserv. Recycl. 2017, 127, 221–232.
  7. Kouhizadeh, M.; Zhu, Q.; Sarkis, J. Blockchain and the circular economy: Potential tensions and critical reflections from practice. Prod. Plan. Control 2019, 31, 950–966.
  8. Directive, E.C. Directive 2008/98/EC of the European Parliament and of the Council of 19 November 2008 on waste and repealing certain Directives. Off. J. Eur. Union L 2008, 312, 1–27.
  9. Information and Communication Technologies (ICT). Available online: http://uis.unesco.org/en/glossary-term/information-and-communication-technologies-ict (accessed on 21 August 2020).
  10. Schaper, L.K.; Pervan, G.P. ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists. Int. J. Med. Inf. 2007, 76, S212–S221.
  11. Gutierrez, M.; Etxebarria, S.; Revilla, M.; Ramos, S.; Ciriza, A.; Sancho, L.; Zufia, J. Strategies for the Controlled Integration of Food SMEs’ Highly Polluted Effluents into Urban Sanitation Systems. Water 2019, 11, 223.
  12. Mishra, D.; De, S. Energy harvesting and sustainable M2M communication in 5G mobile technologies. In Internet of Things (IoT) in 5G Mobile Technologies; Springer: Cham, Switzerland, 2016; pp. 99–125.
  13. Hatzivasilis, G.; Fysarakis, K.; Soultatos, O.; Askoxylakis, I.; Papaefstathiou, I.; Demetriou, G. The Industrial Internet of Things as an enabler for a Circular Economy Hy-LP: A novel IIoT protocol, evaluated on a wind park’s SDN/NFV-enabled 5G industrial network. Comput. Commun. 2018, 119, 127–137.
  14. Gunaratne, C.; Christensen, K.; Nordman, B.; Suen, S. Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR). IEEE Trans. Comput. 2008, 57, 448–461.
  15. Zhang, J.; Zhang, X.; Wang, W. Cache-enabled Software Defined Heterogeneous Networks for Green and Flexible 5G Networks. IEEE Access 2016, 4, 3591–3604.
  16. Haykin, S. Cognitive radio: Brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 2005, 23, 201–220.
  17. Grace, D.; Chen, J.; Jiang, T.; Mitchell, P. Using cognitive radio to deliver ‘green’ communications. In Proceedings of the 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Hanover, Germany, 22–24 June 2009; pp. 1–6.
  18. Orsini, L.; Kessler, S.; Wei, J.; Field, H. How the Brooklyn Microgrid and TransActive Grid are paving the way to next-gen energy markets. In The Energy Internet; Woodhead Publishing: Cambridge, UK, 2019; pp. 223–239.
  19. Lu, R.; Li, X.; Liang, X.; Shen, X.; Lin, X. GRS: The green, reliability, and security of emerging machine to machine communications. IEEE Commun. Mag. 2011, 49, 28–35.
  20. Wang, B.; Wu, Y.; Han, F.; Yang, Y.; Liu, K. Green Wireless Communications: A Time-Reversal Paradigm. IEEE J. Sel. Areas Commun. 2011, 29, 1698–1710.
  21. Mell, P.; Grance, T. The NIST Definition of Cloud Computing; International Institute of Standards and Technology: Gaithersburg, MD, US, 2011.
  22. Kallio, J.; Antikainen, M.; Kettunen, O.; Korpipää, P. Internet of Things and Cloud Computing Enabling Circular Economy: A tool rental service. Int. J. Adv. Internet Technol. 2018, 11, 92–102.
  23. Wang, X.; Xu, X. An interoperable solution for Cloud manufacturing. Robot. Comput. Integr. Manuf. 2013, 29, 232–247.
  24. Fisher, O.; Watson, N.; Porcu, L.; Bacon, D.; Rigley, M.; Gomes, R. Cloud manufacturing as a sustainable process manufacturing route. J. Manuf. Syst. 2018, 47, 53–68.
  25. Lacy, P.; Rutqvist, J. Waste to Wealth: The Circular Economy Advantage; Springer: Accenture, London, UK, 2016.
  26. Shi, W.; Dustdar, S. The Promise of Edge Computing. Computer 2016, 49, 78–81.
  27. Damianou, A.; Angelopoulos, C.M.; Katos, V. An architecture for blockchain over edge-enabled IoT for smart circular cities. In Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), Santorini Island, Greece, 29–31 May 2019; pp. 465–472.
  28. Nieh, J.; Yang, S.; Novik, N. Measuring thin-client performance using slow-motion benchmarking. ACM Trans. Comput. Syst. 2003, 21, 87–115.
  29. Coughlan, D.; Fitzpatrick, C.; McMahon, M. Repurposing end of life notebook computers from consumer WEEE as thin client computers—A hybrid end of life strategy for the Circular Economy in electronics. J. Clean. Prod. 2018, 192, 809–820.
  30. Lee, E.A. Cyber Physical Systems: Design Challenges. In Proceedings of the 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC), Orlando, FL, USA, 5–7 May 2008; pp. 363–369.
  31. Sharpe, R.; Goodall, P.; Neal, A.; Conway, P.; West, A. Cyber-Physical Systems in the re-use, refurbishment and recycling of used Electrical and Electronic Equipment. J. Clean. Prod. 2018, 170, 351–361.
  32. Romero, D.; Noran, O. Towards Green Sensing Virtual Enterprises: Interconnected Sensing Enterprises, Intelligent Assets and Smart Products in the Cyber-Physical Circular Economy. IFAC Pap. 2017, 50, 11719–11724.
  33. Sauerwein, M.; Doubrovski, E.; Balkenende, R.; Bakker, C. Exploring the potential of additive manufacturing for product design in a circular economy. J. Clean. Prod. 2019, 226, 1138–1149.
  34. Qi, Q.; Tao, F. Digital Twin and Big Data towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison. IEEE Access 2018, 6, 3585–3593.
  35. Rocca, R.; Rosa, P.; Sassanelli, C.; Fumagalli, L.; Terzi, S. Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case. Sustainability 2020, 12, 2286.
  36. Pellicciari, M.; Avotins, A.; Bengtsson, K.; Berselli, G.; Bey, N.; Lennartson, B.; Meike, D. AREUS—Innovative hardware and software for sustainable industrial robotics. In Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE), Gothenburg, Sweden, 24–28 August 2015; pp. 1325–1332.
  37. Sarc, R.; Curtis, A.; Kandlbauer, L.; Khodier, K.; Lorber, K.; Pomberger, R. Digitalisation and intelligent robotics in value chain of circular economy oriented waste management—A review. Waste Manag. 2019, 95, 476–492.
  38. Stengos, G.; Ponis, S.T.; Plakas, G.; Yamas, A. A Proposed Technology Solution for Preventing Marine Littering Based on UAVS and IoT Cloud-Based Data Analytics. In Proceedings of the International Conferences ICT, Society, and Human Beings 2019; Connected Smart Cities 2019; and Web Based Communities and Social Media 2019, Porto, Portugal, 10–12 July 2019; pp. 391–394.
  39. Dedić, N.; Stanier, C. Towards Differentiating Business Intelligence, Big Data, Data Analytics and Knowledge Discovery. In Proceedings of the Innovations in Enterprise Information Systems Management and Engineering; Piazolo, F., Geist, V., Brehm, L., Schmidt, R., Eds.; Springer International Publishing: Cham, Switzerland, 2017; pp. 114–122.
  40. Jabbour, C.; Jabbour, A.; Sarkis, J.; Filho, M. Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda. Technol. Forecast. Soc. Chang. 2019, 144, 546–552.
  41. Mourtzis, D. Design of customised products and manufacturing networks: Towards frugal innovation. Int. J. Comput. Integr. Manuf. 2018, 31, 1161–1173.
  42. Behzadan, A.; Dong, S.; Kamat, V. Augmented reality visualization: A review of civil infrastructure system applications. Adv. Eng. Inform. 2015, 29, 252–267.
  43. Hirve, S.A.; Kunjir, A.; Shaikh, B.; Shah, K. An approach towards data visualization based on AR principles. In Proceedings of the International Conference on Big Data Analytics and Computational Intelligence (ICBDAC), Chirala, India, 23–25 March 2017; pp. 128–133.
  44. Novák, V.; Perfilieva, I.; Mockor, J. Mathematical Principles of Fuzzy Logic; Springer Science and Business Media: New York, NY, US, 2012; Volume 517, pp. 1–14.
  45. Kang, J.R.; Liu, Z.B.; Yang, R.B. Fuzzy Comprehensive Evaluation of Ecological Suitability of Land Based on GIS. Syst. Eng. 2010, 9, X826.
  46. Akinade, O.; Oyedele, L. Integrating construction supply chains within a circular economy: An ANFIS-based waste analytics system (A-WAS). J. Clean. Prod. 2019, 229, 863–873.
  47. Goldberg, D.E.; Holland, J.H. Genetic algorithms and machine learning. Mach. Learn. 1988, 3, 95–99.
  48. Taylor, C.; Sours, A. Materials Stewardship: A Framework for Managing and Preserving Materials in the Circular Economy; NACE International: Houston, TX, USA, 2018.
  49. Neves Da Silva, A.; Novo, P. Hubgrade Smart Monitoring Centers: Measuring Resource Consumption and Moving towards a Circular Economy. Field Actions Sci. Rep. J. Field Actions 2017, 17, 32–37.
  50. Zhou, Z.; Chen, X.; Xiao, X. On Evaluation Model of Circular Economy for Iron and Steel Enterprise Based on Support Vector Machines with Heuristic Algorithm for Tuning Hyper-parameters. Appl. Math. Inf. Sci. 2013, 7, 2215–2223.
  51. Zhang, Y.; Wang, J.; Liu, Y. Game theory based real-time multi-objective flexible job shop scheduling considering environmental impact. J. Clean. Prod. 2017, 167, 665–679.
  52. Hao, C.; Yue, Y. Optimization on Combination of Transport Routes and Modes on Dynamic Programming for a Container Multimodal Transport System. Procedia Eng. 2016, 137, 382–390.
  53. Gatzioura, A.; Sànchez-Marrè, M.; Gibert, K. A Hybrid Recommender System to Improve Circular Economy in Industrial Symbiotic Networks. Energies 2019, 12, 3546.
  54. Kolodner, J. Case-Based Reasoning; Morgan Kaufmann: Burlington, MA, USA, 2014; pp. 1–12.
  55. Li, S.; Zhang, H.; Yan, W.; Jiang, Z. A hybrid method of blockchain and case-based reasoning for remanufacturing process planning. J. Intell. Manuf. 2020, 1–11.
  56. Koo, L.; Trokanas, N.; Cecelja, F. A semantic framework for enabling model integration for biorefining. Comput. Chem. Eng. 2017, 100, 219–231.
  57. Gal, A. Ontology Engineering. Encyclopedia of Database Systems; Liu, L., Özsu, M.T., Eds.; Springer: Boston, MA, USA, 2009.
  58. Trokanas, N.; Bussemaker, M.; Velliou, E.; Tokos, H.; Cecelja, F. BiOnto: An ontology for biomass and biorefining technologies. Comput. Aided Chem. Eng. 2015, 37, 959–964.
  59. Hewkin, P. Smart tags: The distributed-memory revolution. IEEE Rev. 1989, 35, 203–206.
  60. Gligoric, N.; Krco, S.; Hakola, L.; Vehmas, K.; De, S.; Moessner, K.; Jansson, K.; Polenz, I.; van Kranenburg, R. SmartTags: IoT Product Passport for Circular Economy Based on Printed Sensors and Unique Item-Level Identifiers. Sensors 2019, 19, 586.
  61. Tuyls, P.; Batina, L. RFID-tags for anti-counterfeiting. In Cryptographers’ Track at the RSA Conference; Springer: Berlin/Heidelberg, Germany, 2006; pp. 115–131.
  62. Zhang, T.; Wang, X.; Chu, J.; Liu, X.; Cui, P. Automotive recycling information management based on the internet of things and RFID technology. In Proceedings of the IEEE International Conference on Advanced Management Science (ICAMS 2010), Chengdu, China, 9–11 July 2010; Volume 2, pp. 620–622.
  63. Azhar, S. Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry. Leadersh. Manag. Eng. 2011, 11, 241–252.
  64. Swift, J.; Ness, D.; Kim, K.; Gelder, J.; Jenkins, A.; Xing, K. Towards adaptable and reusable building elements: Harnessing the versatility of the construction database through RFID and BIM. In Proceedings of the UIA Seoul World Architects Congress, Seoul, Korea, 3–10 September 2017.
  65. Akanbi, L.; Oyedele, L.; Omoteso, K.; Bilal, M.; Akinade, O.; Ajayi, A.; Davila Delgado, J.; Owolabi, H. Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy. J. Clean. Prod. 2019, 223, 386–396.
  66. Gubbi, J.; Buyya, R.; Marusic, S.; Palaniswami, M. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener. Comput. Syst. 2013, 29, 1645–1660.
  67. Saha, H.N.; Auddy, S.; Pal, S.; Kumar, S.; Pandey, S.; Singh, R.; Saha, S. Waste management using Internet of Things (IoT). In Proceedings of the 8th annual industrial automation and electromechanical engineering conference (IEMECON), Bangkok, Thailand, 16–18 August 2017; pp. 359–363.
  68. Forlastro, G.; Gena, C.; Chiesa, I.; Cietto, V. IoT for the circular economy: The case of a mobile set for video-makers. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, Barcelona, Spain, 3–6 September 2018; pp. 95–102.
  69. Gilchrist, A. Industry 4.0: The Industrial Internet of Things; Apress: New York, NY, USA, 2016; p. 16.
  70. Anttila, J. An Intelligent Circular Economy Upstream Monitoring & Optimization System Based on Industrial Internet of Things. Master’s Thesis, University of Turku, Turku, Finland, 2019.
  71. Chang, K.T. Introduction to Geographic Information Systems; McGraw-Hill Higher Education: Boston, MA, USA, 2006; pp. 117–122.
  72. Vadoudi, K.; Troussier, N.; Zhu, T.W. Toward sustainable manufacturing through PLM, GIS and LCA interaction. In Proceedings of the International Conference on Engineering, Technology and Innovation (ICE), Bergamo, Italy, 23–25 June 2014; pp. 1–7.
  73. Iglesias, E.; Rivas, D.; Othman, M.K.; Escribano, F.; Tarquis, A. Assessment of macrophyte Typha spp invasion in the Hadejia Valley Irrigation Scheme using WorldView-2 satellite image analysis. Geophys. Res. Abstr. 2019, 21, 18599.
  74. Daneels, A.; Salter, W. What is SCADA? In Proceedings of the International Conference of Accelerator and Large Experimental Physics Control Systems, Trieste, Italy, 4–8 October 1999; pp. 339–343.
  75. Jensen, J.P. Routes for extending the lifetime of wind turbines. In Proceedings of the Product Lifetimes and the Environment Conference, Nottingham, UK, 17–19 June 2015; p. 152.
  76. Tsakalides, P.; Panousopoulou, A.; Tsagkatakis, G.; Montestruque, L. Smart Water Grids: A Cyber-Physical Systems Approach; CRC Press: Boca Raton, FL, USA, 2018.
  77. Dyo, V.; Ellwood, S.; Macdonald, D.; Markham, A.; Trigoni, N.; Wohlers, R.; Mascolo, C.; Pásztor, B.; Scellato, S.; Yousef, K. WILDSENSING. ACM Trans. Sens. Netw. 2012, 8, 1–33.
  78. Thomson, W.K. Information Management System. U.S. Patent No. 5,634,051, 27 May 1997.
  79. Ping, G. Information Management System with the Application to Tourism Management in the Period of circular economy. Energy Procedia 2011, 5, 1525–1529.
  80. Pagoropoulos, A.; Pigosso, D.; McAloone, T. The Emergent Role of Digital Technologies in the Circular Economy: A Review. Procedia CIRP 2017, 64, 19–24.
  81. Hatzivasilis, G.; Soultatos, O.; Ioannidis, S.; Verikoukis, C.; Demetriou, G.; Tsatsoulis, C. Review of security and privacy for the Internet of Medical Things (IoMT). In Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), Santorini Island, Greece, 29–31 May 2019; pp. 457–464.
  82. Raikwar, M.; Gligoroski, D.; Kralevska, K. SoK of Used Cryptography in Blockchain. IEEE Access 2019, 7, 148550–148575.
  83. Demestichas, K.; Peppes, N.; Alexakis, T.; Adamopoulou, E. Blockchain in Agriculture Traceability Systems: A Review. Appl. Sci. 2020, 10, 4113.
  84. Reddy, G.B.; Kumar, K. Quality Improvement in Organic Food Supply Chain Using Blockchain Technology. In Innovative Product Design and Intelligent Manufacturing Systems; Springer: Singapore, 2020; pp. 887–896.
  85. Dindarian, A.; Chakravarthy, S. Traceability of Electronic Waste Using Blockchain Technology. Electron. Waste Manag. 2019, 49, 188–212.
  86. Alexaki, S.; Alexandris, G.; Katos, V.; Petroulakis, E. Blockchain-based electronic patient records for regulated circular healthcare jurisdictions. In Proceedings of the IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Barcelona, Spain, 17–19 September 2018; pp. 1–6.
  87. Halstenberg, F.; Lindow, K.; Stark, R. Utilization of Product Lifecycle Data from PLM Systems in Platforms for Industrial Symbiosis. Procedia Manuf. 2017, 8, 369–376.
  88. Türkeli, S.; Schophuizen, M. Decomposing the Complexity of Value: Integration of Digital Transformation of Education with Circular Economy Transition. Soc. Sci. 2019, 8, 243.
  89. Zheng, F.; Zhang, J.; Ding, M. Low voltage ride-through modeling and control strategy for photovoltaic generation system based on RTDS. Dianli Xitong Zidonghua (Autom. Electr. Power Syst.) 2012, 36, 19–24.
  90. Núñez-Cacho Utrilla, P.; Górecki, J.; Maqueira, J. Simulation-Based Management of Construction Companies under the Circular Economy Concept—Case Study. Buildings 2020, 10, 94.
  91. Lönn, C. Augmented Reality Smartphone Applications as a Tool to Raise Awareness of Circular Economy. Master’s Thesis, KTH, Stockholm, Sweden, 2019.
  92. Faria, R.; Lopes, I.; Pires, I.; Marques, G.; Fernandes, S.; Garcia, N.; Lucas, J.; Jevremović, A.; Zdravevski, E.; Trajkovik, V. Circular Economy for Clothes Using Web and Mobile Technologies—A Systematic Review and a Taxonomy Proposal. Information 2020, 11, 161.
  93. Amsel, N.; Tomlinson, B. Green Tracker: A Tool for Estimating the Energy Consumption of Software. In Proceedings of the CHI ’10 Extended Abstracts on Human Factors in Computing Systems; Association for Computing Machinery: New York, NY, USA, 2010; pp. 3337–3342.
  94. Chamberlin, L.; Boks, C. Marketing Approaches for a Circular Economy: Using Design Frameworks to Interpret Online Communications. Sustainability 2018, 10, 2070.
  95. Alvarado-Morales, M.; Terra, J.; Gernaey, K.; Woodley, J.; Gani, R. Biorefining: Computer aided tools for sustainable design and analysis of bioethanol production. Chem. Eng. Res. Des. 2009, 87, 1171–1183.
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