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市場調查報告書
商品編碼
1554194
火炬監測市場規模、佔有率、趨勢分析報告:按安裝方法、按行業、按地區、細分市場預測,2024-2030 年Flare Monitoring Market Size, Share & Trends Analysis Report By Mounting Method (In-process, Remote), By Industry (Refineries, Petrochemicals, Onshore Oil & Gas Production Sites, Landfills), By Region, And Segment Forecasts, 2024 - 2030 |
2023年全球耀斑監測市場規模預估為11.8億美元,預估2024年至2030年複合年成長率為8.7%。
由於嚴格的國內和全球環境法規,對廢氣燃燒參數精確控制的需求不斷成長,這是市場成長的主要驅動力。石油和天然氣行業的快速成長、化學和石化行業擴大採用火炬監測技術以及無線火炬監控系統的不斷進步進一步促進了市場的成長。此外,還整合了進階分析和人工智慧 (AI),以及擴大採用遠端監控技術。
技術進步顯著提高了火炬監測系統的功能和效率。更準確的感測器、資料分析工具、紅外線熱感成像器和遠端監控功能的開發使操作員能夠更深入地了解火炬操作並最佳化性能。這些技術無需物理存在即可提高火炬系統性能的可視性,從而實現更好的決策和更有效率的營運。這些創新使火炬監測變得更加可靠、更具成本效益且環保,推動了各個最終用途產業的需求。
由於環境問題意識的增強和法規的收緊,耀斑監控市場的監管要求和合規標準不斷提高。各國政府和監管機構正在製定有關火炬排放的更嚴格規則,要求改善監測和報告業務。例如,2023 年 12 月,美國環保署 (EPA) 宣布對空氣排放法規進行重大更新,引入新排放績效標準 (NSPS) OOOOb 和 EG OOOOc。這些修正案專門針對石油和天然氣行業的排放,並對密封燃燒設備和火炬制定了嚴格的新要求,重點是減少甲烷排放。這一趨勢促使企業投資先進的火炬監控解決方案,這些解決方案可以提供準確、即時的資料並確保遵守不斷變化的法規。
另一個重要趨勢是先進分析和人工智慧在火炬監測系統中的整合。人工智慧和機器學習演算法分析火炬監控設備產生的大量資料,以識別模式、預測潛在故障並最佳化火炬性能。透過利用這些技術,公司可以從糾正性維護轉向預測性維護,從而減少停機時間和營運中斷。人工智慧的使用也將提高火炬排放測量的準確性,有助於更有效的監管報告和環境保護。因此,多家公司正在提供整合人工智慧和機器學習技術的火焰監測系統,這正在推動市場成長。例如,總部位於英國的 CleanFlare 提供 FlareX,這是一種基於光學的創新頻譜連續監測系統,將先進的人工智慧和深度機器學習技術與影像處理整合在一起。
與火炬維護系統的安裝和維護相關的高成本可能會阻礙市場成長。連續排放監測系統 (CEMS) 和紅外線攝影機等先進技術需要大量初始投資和持續維護成本。此外,這些系統通常安裝在惡劣的環境中,例如高處或危險場所,從而增加了部署的複雜性和成本。此外,對資料準確性和可靠性的擔憂可能會進一步阻礙市場成長。
The global flare monitoring market size was estimated at USD 1.18 billion in 2023 and is expected to grow at a CAGR of 8.7% from 2024 to 2030. The growing demand for precise control over waste gas combustion parameters owing to stringent local and global environmental regulations is a major factor behind the growth of the market. The rapid growth of the oil and gas sector, the rising adoption of flare monitoring technologies in the chemical and petrochemical industries, and continuous advancements in wireless flare monitoring systems are further contributing to the growth of the market. In addition, integration of advanced analytics and artificial intelligence (AI) and increased adoption of remote monitoring technologies.
Technological advancements have significantly improved the capabilities and efficiency of flare monitoring systems. The development of more accurate sensors, data analytics tools, thermal IR imagers, and remote monitoring capabilities has enabled operators to gain better insights into their flare operations and optimize performance. These technologies provide enhanced visibility into flare system performance without requiring physical presence, leading to better decision-making and more efficient operations. These innovations are making flare monitoring more reliable, cost-effective, and environmentally friendly, thereby driving its demand in various end use industries.
The flare monitoring market is witnessing a rise in regulatory requirements and compliance standards, driven by increasing environmental concerns and stricter regulations. Governments and regulatory bodies are implementing more rigorous rules regarding flare emissions, necessitating improved monitoring and reporting practices. For instance, In December 2023, the Environmental Protection Agency (EPA) announced major updates to its air emissions regulations through the introduction of the New Source Performance Standards (NSPS) OOOOb and EG OOOOc. These revisions specifically target emissions in the oil & gas industry and establish rigorous new requirements for both enclosed combustion devices and flares, with a strong focus on reducing methane emissions. This trend is encouraging companies to invest in advanced flare monitoring solutions that can provide accurate, real-time data and ensure compliance with evolving regulations.
Another significant trend is the integration of advanced analytics and AI in flare monitoring systems. AI and machine learning algorithms analyze large volumes of data generated by flare monitoring devices to identify patterns, predict potential failures, and optimize flare performance. By leveraging these technologies, companies can move from reactive to predictive maintenance, reducing downtime and operational disruptions. The use of AI also enhances the accuracy of flare emissions measurements and contributes to more effective regulatory reporting and environmental protection. Thus, several companies provide flame monitoring systems integrated with AI and ML technologies, which in turn drive the market's growth. For instance, CleanFlare, the UK-based company, provides FlareX, an innovative optical-based multi-spectral continuous monitoring system that integrates advanced AI and Deep ML technologies with image processing.
High costs associated with the installation and maintenance of flare maintenance systems could hamper the growth of the market. Advanced technologies, such as Continuous Emission Monitoring Systems (CEMS) and infrared cameras, require a significant initial investment and ongoing maintenance expenses. Furthermore, these systems are often installed in challenging environments, such as elevated positions or hazardous locations, which increases both the complexity and the cost of deployment. In addition, data accuracy and reliability concerns could further hinder the growth of the market.
Global Flare Monitoring Market Report Segmentation
The report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global flare monitoring market report based on mounting method, industry, and region: