Technological Innovation Management for Sustainable Energy Development Associated with Industrial Development and Legal Duties
Publication: Journal of Urban Planning and Development
Volume 147, Issue 1
Abstract
Recently, computer–physical systems provide a critical service together with physical and computer elements including integrated and robust medical services, a smart electricity grid, the green cloud, and air traffic control. While sustainable energy is becoming increasingly important as globally concern issues are being recognized, and energy supply and uses are becoming critical. To provide this ubiquity, energy efficient and cheap functionality to cyber physical systems, the information available from the physical environment is required under the related law. This paper describes a sustainability cyber construction resource modeling algorithm, which, via a broad range of real-world data, almost builds a smart city model with a distribution network (DN). It consists of different energy management systems models that control consumer power systems and simulate energy, loss, and tension flux in the DN. In addition, scenarios such as photovoltaic deployment and the penetration of electric vehicles estimate indices that calculate the sustainable urban model, for instance carbon emission to address social security issues. It is possible to view the tests and the interface as extremely versatile and ideal for different types of intelligent city problems.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The authors would like to thank all the referees for their constructive and insightful comments on this paper.
References
Bayram, I. S., and T. S. Ustun. 2017. “A survey on behind the meter energy management systems in smart grid.” Renewable Sustainable Energy Rev. 72: 1208–1232. https://doi.org/10.1016/j.rser.2016.10.034.
Bravos, G., P. Loucopoulos, G. Dimitrakopoulos, D. Anagnostopoulos, and V. A. Kiousi. 2017. “A capability–driven modelling approach applied in smart transportation & management systems for large scale events.” EAI Endorsed Trans. Internet Things 3 (9): 153051. https://doi.org/10.4108/eai.31-8-2017.153051.
Chen, N., Y. Liu, J. Li, and Z. Chen. 2017. “A spatio-temporal enhanced metadata model for interdisciplinary instant point observations in smart cities.” ISPRS Int. J. Geo-Inf. 6 (2): 50. https://doi.org/10.3390/ijgi6020050.
Choi, J. S. 2019. “A hierarchical distributed energy management agent framework for smart homes, grids, and cities.” IEEE Commun. Mag. 57 (7): 113–119. https://doi.org/10.1109/MCOM.2019.1900073.
Esterle, L., and R. Grosu. 2016. “Cyber-physical systems: Challenge of the 21st century.” E & I Elektrotech. Informationstech. 133 (7): 299–303. https://doi.org/10.1007/s00502-016-0426-6.
Khan, A. A., M. Naeem, M. Iqbal, S. Qaisar, and A. Anpalagan. 2016. “A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids.” Renewable Sustainable Energy Rev. 58: 1664–1683. https://doi.org/10.1016/j.rser.2015.12.259.
Kikusato, H., K. Mori, S. Yoshizawa, Y. Fujimoto, H. Asano, Y. Hayashi, A. Kawashima, S. Inagaki, and T. Suzuki. 2019. “Electric vehicle charge–discharge management for utilization of photovoltaic by coordination between home and grid energy management systems.” IEEE Trans. Smart Grid 10 (3): 3186–3197. https://doi.org/10.1109/TSG.2018.2820026.
Killian, M., M. Zauner, and M. Kozek. 2018. “Comprehensive smart home energy management system using mixed-integer quadratic-programming.” Appl. Energy 222: 662–672. https://doi.org/10.1016/j.apenergy.2018.03.179.
Kumar, P. M., U. Gandhi, R. Varatharajan, G. Manogaran, R. Jidhesh, and T. Vadivel. 2017. “Intelligent face recognition and navigation system using neural learning for smart security in Internet of Things.” Cluster Comput. 22: 7733–7744. https://doi.org/10.1007/s10586-017-1323-4.
Kumar, S., V. Kumar-Solanki, S. K. Choudhary, A. Selamat, and R. Gonzalez-Crespo. 2020. “Comparative study on ant colony optimization (ACO) and K-means clustering approaches for jobs scheduling and energy optimization model in internet of things (IoT).” Int. J. Interact. Multimedia Artif. Intell. 6(Special Issue on Soft Computing): 107–116. https://doi.org/10.9781/ijimai.2020.01.003.
Lee, J., C. Jin, and B. Bagheri. 2017. “Cyber physical systems for predictive production systems.” Prod. Eng. 11 (2): 155–165. https://doi.org/10.1007/s11740-017-0729-4.
Lu, T., J. Lin, L. Zhao, Y. Li, and Y. Peng. 2015. “A security architecture in cyber-physical systems: Security theories, analysis, simulation and application fields.” Int. J. Secur. Appl. 9 (7): 1–16. https://doi.org/10.14257/ijsia.2015.9.7.01.
Marzband, M., H. Alavi, S. S. Ghazimirsaeid, H. Uppal, and T. Fernando. 2017. “Optimal energy management system based on stochastic approach for a home Microgrid with integrated responsive load demand and energy storage.” Sustainable Cities Soc. 28: 256–264. https://doi.org/10.1016/j.scs.2016.09.017.
McKee, D. W. 2018. “Survey of advances and challenges in intelligent autonomy for distributed cyber-physical systems.” CAAI Trans. Intell. Technol. 3: 75–82. https://doi.org/10.1049/trit.2018.0010.
Molina, E., and E. Jacob. 2018. “Software-defined networking in cyber-physical systems: A survey.” Comput. Electr. Eng. 66: 407–419. https://doi.org/10.1016/j.compeleceng.2017.05.013.
Moness, M., and A. M. Moustafa. 2016. “A survey of cyber-physical advances and challenges of wind energy conversion systems: Prospects for internet of energy.” IEEE Internet Things J. 3 (2): 134–145. https://doi.org/10.1109/JIOT.2015.2478381.
Na, Q., G. S. Yin, and A. Liu. 2019. “A novel heuristic artificial neural network model for urban computing.” IEEE Access 7: 183751–183760. https://doi.org/10.1109/ACCESS.2019.2960687.
Park, S., S. Lee, S. Park, and S. Park. 2019. “AI-based physical and virtual platform with 5-layered architecture for sustainable smart energy city development.” Sustainability 11 (16): 4479. https://doi.org/10.3390/su11164479.
Preeth, S. K. S. L., R. Dhanalakshmi, and P. M. Shakeel. 2020. “An intelligent approach for energy efficient trajectory design for mobile sink based IoT supported wireless sensor networks.” Peer-to-Peer Netw. Appl. 13: 2011–-2022. https://doi.org/10.1007/s12083-019-00798-0.
Ruan, J., X. Hu, X. Huo, Y. Shi, F. T. Chan, X. Wang, G. Manogaran, G. Mastorakis, C. X. Mavromoustakis, and X. Zhao. 2020. “An IoT-based E-business model of intelligent vegetable greenhouses and its key operations management issues.” Neural Comput. Appl. 32: 15341–15356. https://doi.org/10.1007/s00521-019-04123-x.
Sakthivel, T., and V. Saravanan. 2019. “A survey on internet of things based water and energy management open research issues.” Int. J. Sci. Res. Eng. Trends 5 (6): 2139–2142.
Schmittner, C., Z. Ma, E. Schoitsch, and T. Gruber. 2015. “A case study of FMVEA and CHASSIS as safety and security co-analysis method for automotive cyber-physical systems.” In Proc., 1st ACM Workshop on Cyber-Physical System Security, 69–80. Tokyo, Japan: Japan Photovoltaic Energy Association (JPEA).
Tajiri, K., Y. Fujimoto, and Y. Hayashi. 2018. “Study on district-level high peak demand shaving by electric power interchange utilizing private line.” In Proc., Grand Renewable Energy. Japan Council for Renewable Energy. Tokyo, Japan: Japan Photovoltaic Energy Association (JPEA).
Vega, A. M., F. Santamaria, and E. Rivas. 2015. “Modeling for home electric energy management: A review.” Renewable Sustainable Energy Rev. 52: 948–959. https://doi.org/10.1016/j.rser.2015.07.023.
Yetis, H., and M. Karakose. 2017. “Nonstationary fuzzy systems for modelling and control in cyber physical systems under uncertainty.” Int. J. Intell. Syst. Appl. Eng (Special Issue) 26–30. https://doi.org/10.18201/ijisae.2017SpecialIssue31420.
Younis, O., and N. Moayeri. 2017. “Employing cyber-physical systems: Dynamic traffic light control at road intersections.” IEEE Internet Things J. 4 (6): 2286–2296. https://doi.org/10.1109/JIOT.2017.2765243.
Zafar, R., A. Mahmood, S. Razzaq, W. Ali, U. Naeem, and K. Shehzad. 2018. “Prosumer based energy management and sharing in smart grid.” Renewable Sustainable Energy Rev. 82: 1675–1684. https://doi.org/10.1016/j.rser.2017.07.018.
Information & Authors
Information
Published In
Journal of Urban Planning and Development
Volume 147 • Issue 1 • March 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Mar 18, 2020
Accepted: Aug 3, 2020
Published online: Dec 9, 2020
Published in print: Mar 1, 2021
Discussion open until: May 9, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.