Home / Current Issue / Paper 1709944
Design Framework for Continuous Monitoring Systems in Industrial Methane Surveillance
Subject area: Science,Engineering and Technology · Area of research: Methane Monitoring
Abstract
Methane emissions from industrial activities represent a significant challenge for environmental sustainability and climate change mitigation. This paper presents a comprehensive design framework for continuous methane monitoring systems tailored to industrial surveillance needs. The framework emphasizes a modular architecture that enhances flexibility and scalability, integrating advanced sensor technologies with robust hardware-software interfacing. Key design considerations include reliable data acquisition, real-time processing, and secure communication protocols to ensure timely and accurate leak detection. The framework also addresses critical aspects of data management, including storage strategies, quality assurance, and validation to maintain data integrity. Analytical approaches for anomaly detection and trend analysis are incorporated to facilitate rapid identification of leaks and support long-term emission control efforts. By uniting technological and operational perspectives, the proposed framework offers a practical blueprint for developing effective, adaptable monitoring solutions. Its implementation promises to improve industrial methane surveillance by enabling prompt response to emissions, supporting regulatory compliance, and advancing sustainability goals. The paper concludes with suggestions for future advancements in sensor technology, data analytics, and system interoperability, encouraging continued innovation in this vital area.
Keywords
Methane Monitoring, Continuous Surveillance, Sensor Integration, Data Analytics, Industrial Emissions, Environmental Sustainability
References
[1] ADEGBOYE, M. A., FUNG, W.-K. & KARNIK, A. 2019. Recent advances in pipeline monitoring and oil leakage detection technologies: Principles and approaches. Sensors, 19, 2548.
[2] ADEWOYIN, M. A., OGUNNOWO, E. O., FIEMOTONGHA, J. E., IGUNMA, T. O. & ADELEKE, A. K. 2020a. Advances in Thermofluid Simulation for Heat Transfer Optimization in Compact Mechanical Devices.
[3] ADEWOYIN, M. A., OGUNNOWO, E. O., FIEMOTONGHA, J. E., IGUNMA, T. O. & ADELEKE, A. K. 2020b. A Conceptual Framework for Dynamic Mechanical Analysis in High-Performance Material Selection.
[4] BALCOMBE, P., ANDERSON, K., SPEIRS, J., BRANDON, N. & HAWKES, A. 2017. The natural gas supply chain: the importance of methane and carbon dioxide emissions. ACS Sustainable Chemistry & Engineering, 5, 3-20.
[5] BALCOMBE, P., SPEIRS, J. F., BRANDON, N. P. & HAWKES, A. D. 2018. Methane emissions: choosing the right climate metric and time horizon. Environmental Science: Processes & Impacts, 20, 1323-1339.
[6] BELIĆ, D. S. 2006. Global warming and greenhouse gases. Facta universitatis-series: Physics, Chemistry and Technology, 4, 45-55.
[7] BOULART, C. 2008. Methane in deep sea Hydrothermal Plumes. Development of a new in-situ methane sensing technology. University of Southampton.
[8] BURNHAM, A., HAN, J., CLARK, C. E., WANG, M., DUNN, J. B. & PALOU-RIVERA, I. 2012. Life-cycle greenhouse gas emissions of shale gas, natural gas, coal, and petroleum. Environmental science & technology, 46, 619-627.
[9] CAMPANELLA, C. E., DE CARLO, M., CUCCOVILLO, A., DE LEONARDIS, F. & PASSARO, V. M. 2019. Methane gas photonic sensor based on resonant coupled cavities. Sensors, 19, 5171.
[10] COLOMBO, A. F., LEE, P. & KARNEY, B. W. 2009. A selective literature review of transient-based leak detection methods. Journal of hydro-environment research, 2, 212-227.
[11] EYINADE, W., EZEILO, O. J. & OGUNDEJI, I. A. 2020. A Treasury Management Model for Predicting Liquidity Risk in Dynamic Emerging Market Energy Sectors.
[12] GBABO, E. Y., OKENWA, O. K. & CHIMA, P. E. Constructing AI-Enabled Compliance Automation Models for Real-Time Regulatory Reporting in Energy Systems.
[13] GBABO, E. Y., OKENWA, O. K. & CHIMA, P. E. Integrating CDM Regulations into Role-Based Compliance Models for Energy Infrastructure Projects.
[14] HOWARTH, R. W. 2015. Methane emissions and climatic warming risk from hydraulic fracturing and shale gas development: implications for policy. Energy and Emission Control Technologies, 45-54.
[15] HOWARTH, R. W., SANTORO, R. & INGRAFFEA, A. 2011. Methane and the greenhouse-gas footprint of natural gas from shale formations: A letter. Climatic change, 106, 679-690.
[16] JIANG, J. & CLAUDEL, C. 2017. A high performance, low power computational platform for complex sensing operations in smart cities. HardwareX, 1, 22-37.
[17] JIN, C. 2017. Methodology on Exact Extraction of Time Series Features for Robust Prognostics and Health Monitoring. University of Cincinnati.
[18] JUN, L., QIULIN, T., WENDONG, Z., CHENYANG, X., TAO, G. & JIJUN, X. 2011. Miniature low-power IR monitor for methane detection. Measurement, 44, 823-831.
[19] KARANI, P. & JEWASIKIEWITZ, S. M. 2007. Waste management and sustainable development in South Africa. Environment, Development and Sustainability, 9, 163-185.
[20] KIM, J.-Y., CHU, C.-H. & SHIN, S.-M. 2014. ISSAQ: An integrated sensing systems for real-time indoor air quality monitoring. IEEE Sensors Journal, 14, 4230-4244.
[21] KIM, Y., SCHMID, T., CHARBIWALA, Z. M. & SRIVASTAVA, M. B. ViridiScope: design and implementation of a fine grained power monitoring system for homes. Proceedings of the 11th international conference on Ubiquitous computing, 2009. 245-254.
[22] KLEIN, L., RAMACHANDRAN, M., VAN KESSEL, T., NAIR, D., HINDS, N., HAMANN, H. & SOSA, N. Wireless sensor networks for fugitive methane emissions monitoring in oil and gas industry. 2018 IEEE International Congress on Internet of Things (ICIOT), 2018. IEEE, 41-48.
[23] KLEIN, L. J., VAN KESSEL, T., NAIR, D., MURALIDHAR, R., HINDS, N., HAMANN, H. & SOSA, N. Distributed wireless sensing for fugitive methane leak detection. 2017 IEEE International Conference on Big Data (Big Data), 2017. IEEE, 4583-4591.
[24] LARRAÑAGA, P., ATIENZA, D., DIAZ-ROZO, J., OGBECHIE, A., PUERTO-SANTANA, C. E. & BIELZA, C. 2018. Industrial applications of machine learning, CRC press.
[25] LE FEVRE, C. 2017. Methane Emissions: from blind spot to spotlight.
[26] LEIS, J., BUTTSWORTH, D., SNOOK, C. & HOLMES, G. 2014. Detection of potentially explosive methane levels using a solid-state infrared source. IEEE Transactions on Instrumentation and Measurement, 63, 3088-3095.
[27] LEVINSON, R., FRANK, J. D., IATAURO, M., KNIGHT, C. D., SWEET, A., AASENG, G. B., SCOTT, M., OSSENFORT, J., SOEDER, J. & NGO, T. Development and testing of a vehicle management system for autonomous spacecraft habitat operations. 2018 AIAA SPACE and Astronautics Forum and Exposition, 2018. 5148.
[28] LEWIS, A., PELTIER, W. R. & VON SCHNEIDEMESSER, E. 2018. Low-cost sensors for the measurement of atmospheric composition: overview of topic and future applications.
[29] LU, H., TANG, S.-Y., YUN, G., LI, H., ZHANG, Y., QIAO, R. & LI, W. 2020. Modular and integrated systems for nanoparticle and microparticle synthesis—a review. Biosensors, 10, 165.
[30] LUO, H., WU, K., RUBY, R., LIANG, Y., GUO, Z. & NI, L. M. 2018. Software-defined architectures and technologies for underwater wireless sensor networks: A survey. IEEE Communications Surveys & Tutorials, 20, 2855-2888.
[31] MASSIE, C., STEWART, G., MCGREGOR, G. & GILCHRIST, J. R. 2006. Design of a portable optical sensor for methane gas detection. Sensors and Actuators B: Chemical, 113, 830-836.
[32] MEKID, S., BOUHRAOUA, A. & BAROUDI, U. 2019. Battery-less wireless remote bolt tension monitoring system. Mechanical Systems and Signal Processing, 128, 572-587.
[33] MOLNÁR, A. 2018. Leaking away the future: the role of methane emission and natural gas supply chains in global warming. Energy Policy Studies.
[34] MOTTOLA, L. & PICCO, G. P. 2011. Programming wireless sensor networks: Fundamental concepts and state of the art. ACM Computing Surveys (CSUR), 43, 1-51.
[35] NGU, A. H., GUTIERREZ, M., METSIS, V., NEPAL, S. & SHENG, Q. Z. 2016. IoT middleware: A survey on issues and enabling technologies. IEEE Internet of Things Journal, 4, 1-20.
[36] ODEDEYI, P. B., ABOU-EL-HOSSEIN, K., OYEKUNLE, F. & ADELEKE, A. K. 2020. Effects of machining parameters on Tool wear progression in End milling of AISI 316. Progress in Canadian Mechanical Engineering, 3.
[37] OGUNNOWO, E. O. A Conceptual Framework for Digital Twin Deployment in Real-Time Monitoring of Mechanical Systems.
[38] OGUNNOWO, E. O., ADEWOYIN, M. A., FIEMOTONGHA, J. E., IGUNMA, T. O. & ADELEKE, A. K. 2020. Systematic Review of Non-Destructive Testing Methods for Predictive Failure Analysis in Mechanical Systems.
[39] OKUH, C. O., NWULU, E. O., OGU, E., IFECHUKWUDE, P., EGBUMOKEI, I. N. D. & DIGITEMIE, W. N. Creating a Sustainability-Focused Digital Transformation Model for Improved Environmental and Operational Outcomes in Energy Operations.
[40] OKUH, C. O., NWULU, E. O., OGU, E., IFECHUKWUDE, P., EGBUMOKEI, I. N. D. & DIGITEMIE, W. N. An Integrated Lean Six Sigma Model for Cost Optimization in Multinational Energy Operations.
[41] OMETOV, A., BEZZATEEV, S., VOLOSHINA, N., MASEK, P. & KOMAROV, M. 2019. Environmental monitoring with distributed mesh networks: An overview and practical implementation perspective for urban scenario. Sensors, 19, 5548.
[42] RAIMI, D. 2020. The greenhouse gas effects of increased US oil and gas production. Energy Transitions, 4, 45-56.
[43] SACHEDINA, K. & MOHANY, A. 2018. A review of pipeline monitoring and periodic inspection methods. Pipeline Sci. Technol, 2, 187-201.
[44] SHAH, Y. T. 2019. Modular systems for energy and fuel recovery and conversion, CRC Press.
[45] SHAH, Y. T. 2020. Modular systems for energy usage management, CRC Press.
[46] SON, D. J. 2019. Development of a fast methane sensor based on wavelength modulation spectroscopy for exhaust methane emission measurement. University of British Columbia.
[47] STERN, J. P. 2020. Methane Emissions from Natural Gas and LNG Imports: an increasingly urgent issue for the future of gas in Europe, OIES Paper: NG.
[48] VANDERZAAG, A., MACDONALD, J., EVANS, L., VERGÉ, X. & DESJARDINS, R. 2013. Towards an inventory of methane emissions from manure management that is responsive to changes on Canadian farms. Environmental Research Letters, 8, 035008.
[49] WARD, R., RIVETT, M., SMEDLEY, P., ALLEN, G., LEWIS, A., PURVIS, R., JORDAN, C., TAYLOR-CURRAN, H., DARAKTCHIEVA, Z. & BAPTIE, B. 2020. Recommendations for Environmental Baseline Monitoring in areas of shale gas development.
[50] ZAMAN, D., TIWARI, M. K., GUPTA, A. K. & SEN, D. 2020. A review of leakage detection strategies for pressurised pipeline in steady-state. Engineering Failure Analysis, 109, 104264.
How to cite this paper
@article{1709944,
author = {Semiu Temidayo Fasasi, Oluwapelumi Joseph Adebowale, Abdulmaliq Abdulsalam, Zamathula Queen Sikhakhane Nwokediegwu},
title = {Design Framework for Continuous Monitoring Systems in Industrial Methane Surveillance},
journal = {Iconic Research And Engineering Journals},
year = {2020},
volume = {4},
number = {1},
pages = {280-288},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709944.pdf},
abstract = {Methane emissions from industrial activities represent a significant challenge for environmental sustainability and climate change mitigation. This paper presents a comprehensive design framework for continuous methane monitoring systems tailored to industrial surveillance needs. The framework emphasizes a modular architecture that enhances flexibility and scalability, integrating advanced sensor technologies with robust hardware-software interfacing. Key design considerations include reliable data acquisition, real-time processing, and secure communication protocols to ensure timely and accurate leak detection. The framework also addresses critical aspects of data management, including storage strategies, quality assurance, and validation to maintain data integrity. Analytical approaches for anomaly detection and trend analysis are incorporated to facilitate rapid identification of leaks and support long-term emission control efforts. By uniting technological and operational perspectives, the proposed framework offers a practical blueprint for developing effective, adaptable monitoring solutions. Its implementation promises to improve industrial methane surveillance by enabling prompt response to emissions, supporting regulatory compliance, and advancing sustainability goals. The paper concludes with suggestions for future advancements in sensor technology, data analytics, and system interoperability, encouraging continued innovation in this vital area.},
keywords = {Methane Monitoring, Continuous Surveillance, Sensor Integration, Data Analytics, Industrial Emissions, Environmental Sustainability},
month = {July},
}