Statistical software PEMS

predictive statistical analysismonitoringcontrol

Predictive Emission Monitoring Systems are software-based solutions able to deliver reliable real-time emission estimations exploiting advanced mathematical or statistical models. PEMS provide accurate emission monitoring, drastically reducing the capital investment and ongoing operating costs due to maintenance activities and spare parts, minimizing the interferences with plant operations. PEMS allows plant owners and operators a better control on costs, neglecting unexpected costs due to unpredicted issues in the conventional hardware analyzers. PEMS can help you in achieving regulatory compliance applied: As a primary source without investing in CEMS hardware As a cost-effective backup of existing CEMS, increasing availability. Overview PEMS exploits advanced mathematical models, which use process parameters (e.g. pressure, temperatures, flow, etc.) as input variables in order to estimate the most common air pollutant emissions (e.g. NOx, SO2, CO, CO2, etc.). ABB proprietary software Inferential Modeling Platform (IMP) has been designed and tailored in order to meet specific PEMS standards and requirements prescribed by latest environmental legislation. IMP provides advanced Sensor Validation (SV) algorithms specifically developed by ABB to enhance PEMS reliability and resilience to failures in input variables (e.g. drift in a field sensor) and Model Integrity Test (MIT) functionality to ensure model consistency over time. Model-based emission monitoring provides a number of unique features and advantages: PEMS are compliant and accepted by international environmental regulations and standards.