Periodic Reporting for period 1 - TM Field Analyzer (Developing a monitoring system for urban gas pipelines by utilizing state of the art accelerometers, advanced signal processing, and advanced intelligent algorithm based recognition)
Reporting period: 2014-10-01 to 2015-02-28
1) Conduct market analysis on the gas pipeline monitoring systems used by the primary customers- urban grid network operators (DSOs, TSOs). This was performed primarily as a desktop research task and as focus groups. The main focus was placed on Europe as the primary target market. Nevertheless, the North American market was also observed to assess the broader market potential.
2) Analyse in detail the grid monitoring systems’ competitive environment across Europe (key actors, technology development trends, and detailed analysis of the most competitive value propositions). The context of action for objectives (2) was desktop research.
3) Construct a complete commercialisation strategy, a detailed feasibility analysis for the planned investment, and an IPR protection strategy. This was performed as a desktop research and financial analysis.
4) Perform technical analysis of networking accelerometers and utilizing advanced signal processing for continuous gas pipeline monitoring in various conditions that imitate the urban environment. This was performed in the form of laboratory tests, and in depth literature reviews for advanced signal processing applications.
Regarding laboratory tests and analysis, an experimental campaign was carried out in a simple test environment. The main aim of the campaign was to verify the performance of advanced information-theoretic measures in leak detection with the collected data. The experimental design consisted of seven experiments five experiments during which a simulated leak occurred, and two reference experiments without a leak, representing “normal flow” –conditions. The reference experiments were run in the middle and at the end of the test set.
Two information-theoretic measures, Shannon’s entropy and Jaccard’s index, were tested for the leak detection. Additionally, the required data pre-processing methods were implemented. With both measures, the leaks could be detected accurately. However, the Jaccard’s index combined with wavelet denoising and applied in monitoring the changes in the dynamics of the system demonstrated robustness against false alarms, variation in test environment and the orientation of the sensor. Thus, it was selected for further studies. During those it was then observed that the index could be further combined to the statistical process control (SPC) methods to obtain alarm and control limits automatically. Also, in some cases the monitoring algorithm seemed to demonstrate predictive capability: the algorithm could alarm about the development of the leak before its actual occurrence.
To conclude, the information-theoretic measures, especially the Jaccard’s index with proper data pre-processing steps demonstrated robust performance in fault detection. The use of control charts for monitoring the index values seems to be a viable option to be used in the monitoring application. The chosen approach is non-parametric, real-time capable and requires no models. Therefore, it is expected to be easy to install and maintain and scalable also to large systems. Further testing and a full-scale development will be needed in a controlled laboratory environment and industrial-scale systems to fully develop the algorithm.
Regarding TM Field Analyzer concept development, marketing and commercialization strategy, given that the market and competition analysis confirmed the need for the solution, and also that the laboratory tests validated the technical feasibility of utilizing adanced signal processing, the commercialisation strategy was further defined. First, this entailed a full-scale Freedom To Operate analysis along with developing an IPR protection strategy. The results confirmed the uniqueness of the TM Field Analyzer concept. Also, a financial feasibility analysis was constructed along with constructing the financial forecasts subsequent to the full-scale development. According to the current assumptions, the TM Field Analyzer business line has a potential to generate 150 mEUR worth of revenue by year 5, and increase the number of new employees to roughly 100. Nevertheless, the critical barrier is herein the need to demonstrate the solution within as many end-user facilities as possible. Also, substantial development is needed to be performed in order to come out with a fully commercial solution. Thus, applying for Phase 2 financing is critical in order to continue the TM Field Analyzer development, and eventually reach commercialization.
Herein, while also considering that the US natural gas pipeline grid comprises of more than 1,400 compressor stations, more than 11,000 delivery points, 5,000 receipt points, and 1,400 interconnection points that provide for the transfer of natural gas throughout the United States, 24 hubs or market centers that provide additional interconnections, 400 underground natural gas storage facilities, 49 locations where natural gas can be imported/exported via pipelines, 8 LNG (liquefied natural gas) import facilities and 100 LNG peaking facilities, we can roughly say that the secondary market for TM Fielf Analyzer, has the potential to save at least another 5,5 billion Euros, if not more,
In reality, of course, full market penetration is not reached. Nevertheless, the direct potential impact is the introduction of a breakthrough technology for ensuring the safety of urban gas infrastructure. In turn, while lowering the cost of system operators, this also substantially contributes to the safety of such infrastructure.