DEV Community: Adar Chowdhury

From LPG to Hydrogen: Engineering Safe Transitions for the U.S. Clean Energy Future

Adar Chowdhury — Wed, 06 Aug 2025 04:07:21 +0000

As the United States accelerates toward a net-zero emissions future, hydrogen is emerging as a cornerstone of the national energy strategy. However, transitioning from Liquefied Petroleum Gas (LPG) infrastructure to hydrogen systems is not a plug-and-play upgrade—it requires careful engineering, smart automation, and robust safety controls. With the Department of Energy (DOE) prioritizing hydrogen hubs and clean fuel innovation, engineering leaders must now bridge legacy energy infrastructure with next-generation solutions.

LPG vs. Hydrogen:** Understanding the Infrastructure Shift**
Although Liquefied Petroleum Gas (LPG) and hydrogen are both gaseous fuels used in energy and industrial applications, the infrastructure required to handle each safely and efficiently differs substantially. Hydrogen, being the lightest element in the periodic table, is significantly more diffusive than LPG. This means it can escape through microscopic leaks in containment systems, requiring storage and piping materials that are not just durable but also highly resistant to permeability and hydrogen embrittlement—a condition where hydrogen atoms weaken metal structures over time.

Storage vessels for hydrogen must be engineered to withstand much higher pressures—often up to 700 bar—or in some cases, extremely low cryogenic temperatures when stored as a liquid. In contrast, LPG storage tanks (commonly bullet-shaped) operate at lower pressures and do not require cryogenic insulation. Furthermore, the detection systems used in LPG plants are not sensitive enough for hydrogen, which is odorless, colorless, and burns with an invisible flame, making it far more difficult to detect with conventional leak sensors. Specialized detectors using thermal conductivity or catalytic sensors must be deployed in hydrogen environments to ensure timely alerts.

The distribution infrastructure for hydrogen—comprising pipelines, valves, regulators, compressors, and fittings—must be purpose-built to handle hydrogen’s smaller molecular size and unique diffusion behavior. Even components like gaskets, seals, and lubricants must be carefully selected to avoid chemical degradation. In short, converting an LPG facility to handle hydrogen is not merely a fuel switch; it demands a comprehensive redesign of physical infrastructure, operational protocols, and safety systems.

Smart Safety: SCADA, AI, and Process Safety Management
Ensuring safety in hydrogen infrastructure is more challenging due to its physical properties and higher reactivity. To address these challenges, energy facilities are increasingly relying on intelligent control systems, including SCADA (Supervisory Control and Data Acquisition), PLCs (Programmable Logic Controllers), and integrated AI platforms. SCADA systems provide centralized, real-time monitoring of tank pressures, flow rates, ambient temperatures, and leak detection sensors across hydrogen storage and distribution assets. With these systems, operators can detect minute changes in system behavior and initiate rapid shutdown procedures or safety interventions.

The integration of AI-driven fault prediction models further enhances system resilience. These models use historical data, live sensor inputs, and environmental variables to detect abnormalities such as micro-leaks, valve fatigue, or abnormal temperature gradients that could indicate impending failure. AI can analyze trends that human operators may miss, reducing the likelihood of critical incidents through early warning mechanisms and predictive diagnostics.

In tandem, Smart Process Safety Management (PSM) frameworks provide structured tools to manage hydrogen risks. These include digital risk registers, automated HAZOP (Hazard and Operability Study) workflows, ERP-integrated safety dashboards, and compliance tracking modules. These systems work together to proactively identify hazards, implement mitigation controls, and ensure regulatory compliance under OSHA, NFPA, and DOE standards.

Adar Chowdhury, with over 12 years of experience in LPG terminal development, brings a deep understanding of both the legacy systems and the modern safety technologies needed for hydrogen. His expertise in SCADA integration, CMMS (Computerized Maintenance Management Systems), and regulatory alignment with ISO 45001, NFPA 58, and DOE guidance makes him an ideal leader in the transition from LPG to hydrogen infrastructure. He has successfully deployed digital safety systems across LPG facilities, which are now directly adaptable to hydrogen projects.

Engineering the Transition: Adar’s Experience and the U.S. Opportunity
Throughout his engineering career, Adar has been at the forefront of gas infrastructure development, particularly in high-risk industrial environments. He has led the design and installation of high-pressure gas systems, overseen SCADA-based leak detection platforms, and developed fire protection strategies for LPG terminals. His work includes implementing ERP-integrated maintenance tracking systems, ensuring that compliance, safety checks, and performance audits are all logged digitally and accessible in real time.

Adar has also played a key role in conducting Pre-Startup Safety Reviews (PSSR), coordinating Emergency Response Plans (ERP), and supervising multi-disciplinary teams during large-scale commissioning. His approach bridges technical engineering with process optimization, ensuring that safety and performance are not competing goals, but complementary outcomes. As hydrogen infrastructure rolls out across the U.S., the industry requires professionals who understand not only the technical design of gas systems but also the evolving requirements of smart automation, digital compliance, and net-zero energy alignment. Adar’s track record positions him to provide this critical bridge.

Importantly, the transition to hydrogen is not solely about upgrading physical systems—it also involves transferring institutional knowledge, redesigning workflows, and aligning industrial practices with federal climate goals. With Adar’s multidisciplinary background, he brings together field engineering, digital systems, and policy-informed execution, making him a key enabler of safe and successful hydrogen infrastructure deployment.

A Net-Zero Future Needs Smart Transitions
As the United States pushes forward with its clean energy commitments, hydrogen is expected to play a central role in achieving net-zero emissions across power generation, transportation, and industrial sectors. DOE-backed hydrogen hubs and bipartisan energy investments are accelerating the pace of infrastructure development. However, to ensure that this growth is safe, scalable, and sustainable, it must be anchored in practical engineering experience and smart safety technologies.

Lessons learned from LPG operations—ranging from incident response to asset lifecycle management—should guide the design of new hydrogen facilities. By combining AI, SCADA, CMMS, and PSM systems, energy companies can create predictive, connected, and automated safety environments. Through the leadership of engineers like Adar Chowdhury, who bring a balance of field-tested knowledge and digital innovation, the U.S. can turn hydrogen into not just a fuel of the future, but a safe and reliable solution for today’s energy challenges.

In the end, the transition to hydrogen is not just an energy shift—it’s a transformation in how we engineer, monitor, and protect the systems that power our world.

Preventing Industrial Accidents Through Data: How Predictive Maintenance is Transforming Energy Terminals

Adar Chowdhury — Wed, 06 Aug 2025 04:04:36 +0000

In high-risk energy infrastructure such as LPG terminals and hazardous materials (hazmat) facilities, a single equipment failure can have devastating consequences—ranging from asset loss to environmental disasters and even human casualties. Traditionally, maintenance was reactive: waiting for a problem to occur before addressing it. But in the age of data and artificial intelligence, predictive maintenance has emerged as a transformative solution that doesn't just save money—it saves lives.

The Role of Predictive Maintenance in High-Risk Energy Facilities
Predictive maintenance (PdM) combines real-time data analytics with condition monitoring to forecast failures before they happen. Unlike periodic preventive maintenance, which adheres to fixed schedules, PdM relies on actual asset behavior to guide interventions.

In LPG and hazmat sectors, this approach is critical because:

Pressurized tanks, compressors, PRVs, and pipelines operate under extreme conditions.
Minor anomalies like temperature spikes, vibration irregularities, or flow inconsistencies can signal impending failures.
Timely intervention can prevent catastrophic leaks, fires, or explosions.

Adar Chowdhury, a mechanical and project engineer with over a decade of hands-on experience in LPG terminals, has implemented SAP PM (Plant Maintenance) and Oracle CMMS to digitize maintenance workflows. His work has consistently reduced unplanned shutdowns, improved asset integrity, and optimized plant uptime.

Leveraging SAP PM and CMMS for Smart Maintenance
Modern industrial energy terminals rely heavily on robust maintenance planning to ensure safety, reliability, and operational continuity. Enterprise systems such as SAP Plant Maintenance (SAP PM) and Computerized Maintenance Management Systems (CMMS) play a critical role in this transformation by providing centralized platforms to monitor the health and performance of every key asset. These systems allow engineers and plant operators to schedule periodic inspections and preventive maintenance activities, ensuring that equipment is serviced before any degradation leads to failure.

In addition to scheduling, SAP PM and CMMS store historical data on past failures and corrective actions, allowing engineers to perform in-depth root cause analysis (RCA). This historical insight informs future maintenance strategies, helping facilities avoid repeat failures and optimize resource allocation. Another significant benefit is the availability of KPI dashboards, which display real-time performance indicators such as equipment downtime, Mean Time Between Failures (MTBF), and Mean Time To Repair (MTTR). These metrics empower decision-makers to identify bottlenecks and act quickly.

Furthermore, these platforms can be seamlessly integrated with SCADA systems, enabling real-time data flow from field sensors to maintenance databases. As a result, alerts generated by SCADA—such as abnormal temperature or pressure readings—can automatically trigger work orders or inspections within SAP PM or CMMS, creating a responsive and interconnected safety loop.

In Adar Chowdhury’s engineering projects across various LPG terminals, such smart maintenance systems proved invaluable. By digitizing maintenance logs, synchronizing them with live SCADA alarms, and conducting timely interventions, his teams were able to detect early-stage mechanical anomalies. This not only prevented equipment degradation but also helped avoid costly leaks and system-wide shutdowns.

AI and Machine Learning: From Reaction to Prediction
The next frontier in industrial maintenance lies in the integration of Artificial Intelligence (AI) and Machine Learning (ML) into plant diagnostics. These technologies bring predictive maintenance to a new level by moving from static schedules to dynamic, data-driven forecasts. AI algorithms can analyze thousands of data points—such as vibration frequency, gas composition, and compressor cycles—and detect patterns that human operators or static systems might overlook.

For example, if a specific tank valve begins exhibiting subtle fluctuations under certain ambient conditions, an AI model could flag it for preemptive inspection. Similarly, wear-and-tear patterns caused by repeated thermal cycling in LPG lines can be identified days or weeks before actual failure. AI can also assign risk scores to various components across the plant, helping engineers prioritize which assets need immediate attention and which can wait—making resource allocation more strategic and cost-effective.

By leveraging data from SCADA, SAP PM, and on-site sensors, engineers like Adar Chowdhury are building AI-driven maintenance ecosystems. These systems help reduce human error, minimize emergency repairs, and extend the lifespan of critical assets—all without halting plant operations.

Regulatory Imperatives: Why This Matters in the U.S.
In the United States, predictive maintenance is not just a best practice—it’s becoming a regulatory expectation, especially in facilities handling hazardous materials like LPG. Agencies such as the U.S. Occupational Safety and Health Administration (OSHA) and the Department of Energy (DOE) mandate the implementation of proactive safety strategies under their respective guidelines.

The OSHA 1910 standards for Process Safety Management (PSM) require continuous monitoring, documented inspections, and timely interventions in hazardous process environments. Similarly, NFPA 58, which governs LPG storage and handling, emphasizes the need for timely equipment servicing, leak detection, and pressure control systems. Predictive maintenance systems that integrate with CMMS, SAP PM, and SCADA not only satisfy these regulations but also generate audit-ready logs and reports that demonstrate compliance.

DOE’s infrastructure modernization goals also call for the digitalization of terminal operations—from real-time diagnostics to cloud-based maintenance planning—making predictive maintenance essential for public-private partnerships and future funding eligibility.

A Safer, Smarter Future for Terminals
As U.S. energy terminals move toward higher throughput, renewable gas blends, and more stringent safety expectations, the role of predictive maintenance becomes increasingly critical. Gone are the days when maintenance was a reactive department that responded only after breakdowns. Today, it is a proactive, AI-powered function that safeguards assets, workers, and communities.

Professionals like Adar Chowdhury, who bring practical experience integrating SAP PM, SCADA, AI, and smart CMMS systems, are leading this transformation. Their work ensures that predictive maintenance is not just a theoretical concept but a practical, measurable reality that improves safety and compliance on the ground.

With the right technology and expertise, U.S. energy terminals can transition from reactive maintenance to intelligent prevention—building a safer, more efficient, and regulation-ready industrial future.