Government regulatory bodies, such as the United States Environmental Protection Agency (EPA), set forth regulations for emissions. The Code of Federal Regulations Title 40 Protection of Environment part 60—Standards of Performance for New Stationary Sources—and part 75—Continuous Emission Monitoring—are the two EPA federal regulations that guide the design of all Continuous Emission Monitoring Systems (CEMS). CEMS, especially extractive CEMS, typically have three major components: sample transport and conditioning, sample analysis, and data acquisition and storage. This paper focuses on advanced analytics that can be used to provide reliable and accurate service, even when extractive CEMS is off-line, data are missing, or if a monitoring system is not installed.
The advanced analytics consists of three components: emission measurement data produced and stored by the extractive CEMS or manually entered laboratory test data, a model that relates emission measurements to the process operating mode, and a calculated optimal operating mode that minimizes the emissions while keeping the client's operation economically feasible. This paper describes the data used for the advanced analytics, the two modeling techniques used to predict continuous proportions of exhaust gas components of interest, and the methodology for optimizing the interdependence of the exhaust gas component proportion with other process variables.
Advanced analytics represents a suite of tools designed to work in conjunction with Continuous Emission Monitoring Systems (CEMS) and in particular with extractive CEMS to ensure regulatory emission requirements outlined by the United States Environmental Protection Agency's (EPA) Code of Federal Regulations (CFR) Title 40 Protection of Environment, parts 60 and 75. These advanced analytics integrate with any legacy extractive CEMS as long as the legacy system is fully compliant across its three major components: sample transport and conditioning, sample analysis, and data acquisition and storage.
