Design of Energy Management and Environmental Monitoring Systems for Low-Carbon Urban Construction

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Published: 2026-01-15
Keywords:
low-carbon urban construction, energy management, environmental monitoring, sustainable development, smart cities, renewable energy, data analytics

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Leo Thompson
Department of Computing, University of Portsmouth, Portsmouth, United Kingdom
Zimo Chen
School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

Abstract

This review paper examines the design of energy management and environmental monitoring systems within the context of low-carbon urban construction. The building sector is a significant contributor to global greenhouse gas emissions. Thus, integrating sustainable practices into urban development is crucial for mitigating climate change. This paper analyzes existing literature on various energy management strategies, including smart grids, renewable energy integration, and energy-efficient building designs. It also explores environmental monitoring techniques, such as air quality monitoring, waste management systems, and water resource management. The review highlights the importance of data-driven decision-making, enabled by advanced sensor technologies and data analytics. Furthermore, it looks into the challenges of implementation, including technological limitations, economic constraints, and regulatory barriers. Finally, the paper proposes future research directions, focusing on innovative technologies and policy frameworks to foster sustainable urban development. This includes exploring the potential of AI-driven energy optimization, advanced sensor networks for real-time environmental monitoring, and community engagement models for promoting low-carbon lifestyles. The effective integration of energy management and environmental monitoring systems is essential for creating resilient and sustainable urban environments.

Article Details

Issue

Vol. 1 No. 2 (2025): 2025 International Conference on Computer Science, Artificial Intelligence and Communication Systems(CSACS 2025)

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Articles

How to Cite

Design of Energy Management and Environmental Monitoring Systems for Low-Carbon Urban Construction. (2026). Journal of Science, Innovation & Social Impact, 1(2), 71-77. https://sagespress.com/index.php/JSISI/article/view/56

References

1. G. Ying, “Cloud computing and machine learning-driven security optimization and threat detection mechanisms for telecom operator networks,” Artificial Intelligence and Digital Technology, vol. 2, no. 1, pp. 98–114, 2025.

2. A. K. Jain, Low carbon city: Policy, planning and practice. Discovery Publishing House, 2009.

3. H. Wang et al., “Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development,” Sustainable Cities and Society, vol. 107, 105434, 2024.

4. W. Sun, “Integration of Market-Oriented Development Models and Marketing Strategies in Real Estate,” European Journal of Business, Economics & Management, vol. 1, no. 3, pp. 45–52, 2025.

5. J. Milner, M. Davies, and P. Wilkinson, “Urban energy, carbon management (low carbon cities) and co-benefits for human health,” Curr. Opin. Environ. Sustain., vol. 4, no. 4, pp. 398–404, 2012.

6. C. L. Cheong, “Research on AI Security Strategies and Practical Approaches for Risk Management”, J. Comput. Signal Syst. Res., vol. 2, no. 7, pp. 98–115, Dec. 2025, doi: 10.71222/17gqja14.

7. S. Gao and H. Zhang, “Urban planning for low-carbon sustainable development,” Sustainable Computing: Informatics and Systems, vol. 28, 100398, 2020.

8. Y. Chen, H. Du, and Y. Zhou, “Lightweight network-based semantic segmentation for UAVs and its RISC-V implementation,” Journal of Technology Innovation and Engineering, vol. 1, no. 2, 2025.

9. J. Li and M. Colombier, “Managing carbon emissions in China through building energy efficiency,” J. Environ. Manage., vol. 90, no. 8, pp. 2436–2447, 2009.

10. G. Wang, “Performance evaluation and optimization of photovoltaic systems in urban environments,” Int. J. New Dev. Eng. Soc., vol. 9, pp. 42–49, 2025, doi: 10.25236/IJNDES.2025.090106.

11. X. Zhu and D. Li, “How to promote the construction of low‐carbon cities in China? An urban complex ecosystem perspective,” Sustainable Development, vol. 32, no. 5, pp. 4354–4373, 2024.

12. L. Chen et al., “Green construction for low-carbon cities: a review,” Environ. Chem. Lett., vol. 21, no. 3, pp. 1627–1657, 2023.

13. S. Li, K. Liu, and X. Chen, "A context-aware personalized recommendation framework integrating user clustering and BERT-based sentiment analysis," Journal of Computer, Signal, and System Research, vol. 2, no. 6, pp. 100-108, 2025.

14. K. Lo, “Urban carbon governance and the transition toward low-carbon urbanism: Review of a global phenomenon,” Carbon Management, vol. 5, no. 3, pp. 269–283, 2014.

15. H. Guan, “Construction of urban low-carbon development and sustainable evaluation system based on the internet of things,” Heliyon, vol. 10, no. 9, 2024.

16. X. Zhang, K. Li, Y. Dai, and S. Yi, “Modeling the land cover change in Chesapeake Bay area for precision conservation and green infrastructure planning,” Remote Sensing, vol. 16, no. 3, p. 545, 2024. https://doi.org/10.3390/rs16030545

17. W. Jiang and W. Kang, “A review on the low-carbon city study: Development and trends,” Chin. J. Urban Environ. Stud., vol. 7, no. 02, 1950006, 2019.

18. S. Yuan, “Data Flow Mechanisms and Model Applications in Intelligent Business Operation Platforms”, Financial Economics Insights, vol. 2, no. 1, pp. 144–151, 2025, doi: 10.70088/m66tbm53.