Evaluation of Continuous Emission Monitoring System (CEMS) Performance and Integration with Data Acquisition and Interfacing Systems for Regulatory Compliance in Indonesia's Industrial Sector

Authors

  • Hery Herawan Universitas Gunadarma

DOI:

https://doi.org/10.56127/juit.v5i1.2527

Keywords:

CEMS, DAS, DIS, real-time monitoring, emission monitoring, regulatory compliance, predictive emission monitoring systems (PEMS), industrial pollution.

Abstract

Air pollution from industrial emissions is a critical issue in Indonesia, affecting public health and the environment. Continuous Emission Monitoring Systems (CEMS) are crucial for real-time monitoring and ensuring compliance with environmental regulations. Objective: This study aims to evaluate the performance of the CEMS integrated with the Data Acquisition System (DAS) and Data Interfacing System (DIS), developed by BRIN and PT Eksperta Adi Manusa, to improve emissions monitoring and reporting. Methodology: A case study evaluation with a descriptive-qualitative and observational approach was used. Data was collected through simulations with MODBUS data, system documentation analysis, and performance testing of the dashboard module. The study focused on system architecture, data integration, and compliance with Indonesian environmental regulations. Findings: The integration of CEMS with DAS and DIS successfully enabled real-time monitoring and enhanced emission data accuracy. However, challenges such as data variability and the need for stronger regulatory supervision were identified. The research also found that predictive emission monitoring systems (PEMS) could improve system performance and reduce operational costs. Implications: This research contributes to improving air quality management in Indonesia. The findings highlight the importance of real-time monitoring and system integration for better decision-making and regulatory compliance. The study provides recommendations for policymakers and industry stakeholders to optimize CEMS and PEMS implementation for reducing industrial pollution. Originality: This research provides original insights into CEMS integration within Indonesia’s regulatory framework, a relatively unexplored area. It contributes to the field of environmental monitoring by offering practical recommendations to enhance emission monitoring systems and address challenges faced by industries in complying with regulations.

References

Astuti, S. et al. (2025). Regulatory compliance index of traditional medicine and health supplement companies in Indonesia. BIO Web of Conferences, 184. https://doi.org/10.1051/bioconf/202518404001

Gai, H. et al. (2020). Alternative emission monitoring technologies and industrial internet of things–based process monitoring technologies for achieving operational excellence. Current Opinion in Green and Sustainable Chemistry, 23, 31–37. https://doi.org/10.1016/j.cogsc.2020.04.009

Hovan, R. (2009). Predictive emissions monitoring for regulatory compliance. Control Engineering, 56(6). https://www.scopus.com/inward/record.uri?eid=2-s2.0-68349117334&partnerID=40&md5=45ac9fffe2a81d8b538c8674d5bc47d8

Hovan, R. A. (2010). Title-V monitoring implementation (with efficiency feedback control). ISA Automation Week 2010: Technology and Solutions Event, 90–98. https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959622003&partnerID=40&md5=27fe9eb5681019eaf0c358d86a015da3

KLHK. (2021). Peraturan Menteri Lingkungan Hidup dan Kehutanan No. 13 Tahun 2021 tentang Sistem Informasi Pemantauan Emisi Industri Secara Terus Menerus. https://jdih.kemenkoinfra.go.id/

Korellis, S., & Dene, C. (2016). Evaluating the use of CEMS for accurate heat rate monitoring and reporting. Power, 160(7). https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979781493&partnerID=40&md5=bfe6abea5f20e02934ec5047b5648201

Narayana, T. L. (2024). Advances in real-time smart monitoring of environmental parameters using IoT and wireless sensors. Science of the Total Environment, 904, 167437. https://doi.org/10.1016/j.scitotenv.2024.167437

Sadois, C. et al. (2014). Predictive emission monitoring system: Innovation in measurement technology. Society of Petroleum Engineers - International Petroleum Technology Conference 2014, IPTC 2014: Unlocking Energy Through Innovation, Technology and Capability, 4, 3240–3250. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84900342694&partnerID=40&md5=94f57808c82d927580bb1c7ecb557e55

Shapiro, V., & Khots, D. (2015). Advanced analytics for continuous emission monitoring systems. PSIG Annual Meeting 2015. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051462074&partnerID=40&md5=be57d464eeadc6edbfbe179ad2cbcc7b

Srivastava, R. P. et al. (2024). Continuous emission monitoring systems (CEMS) in India: Performance evaluation, policy gaps and financial implications for effective air pollution control. Journal of Environmental Management, 359. https://doi.org/10.1016/j.jenvman.2024.120584

Triani, M. et al. (2024). Development of Emission Factors from Indonesian Coal-Fired Power Plant Using Continuous Emission Monitoring Data. BIO Web of Conferences, 104. https://doi.org/10.1051/bioconf/202410400025

Xiaoliang, F., & Haiming, Z. (2009). Design CEMS for flue gas from thermal power plant. Asia-Pacific Power and Energy Engineering Conference, APPEEC. https://doi.org/10.1109/APPEEC.2009.4918261

Xu, Z. et al. (2025). Machine learning classifiers to detect data pattern change of continuous emission monitoring system: A typical chemical industrial park as an example. Environment International, 201. https://doi.org/10.1016/j.envint.2025.109594

Downloads

Published

2026-01-29

How to Cite

Herawan, H. (2026). Evaluation of Continuous Emission Monitoring System (CEMS) Performance and Integration with Data Acquisition and Interfacing Systems for Regulatory Compliance in Indonesia’s Industrial Sector. Jurnal Ilmiah Teknik, 5(1), 194–205. https://doi.org/10.56127/juit.v5i1.2527

Similar Articles

1 2 3 4 5 6 > >> 

You may also start an advanced similarity search for this article.