AQ Control, Compliance & Testing
ACCEPTING ABSTRACTS IN: EPA Rules for CTS, CMS, Monitoring, HRVOC, CFB, HG, Silicates, Advanced Tech Instrumentation, Digital Investment (RODI), Emission Monitoring, Modeling & Permitting, Drones, Fenceline Monitoring, Remote Sensing
B1.1 CEMS Preventative Maintenance Utilizing IoT and Predictive Analytics
B1.1 CEMS Preventative Maintenance Utilizing IoT and Predictive Analytics
Wade Day – Pass
Downtime due to unplanned failures is the kryptonite to any CEMS preventative maintenance and air compliance program. No matter how robust the routine service system, production disruptions due to monitor malfunctions are an unwelcomed event for any regulated process. The solution to this ongoing issue is the integration of proven IoT technology with the diagnostic profiles of existing CEMS hardware to build a real-time, performance data analysis system. Supporting this system with 24/7 monitoring by trained service technicians, apply the human intelligence associated with that expertise and decrease problems by predicting outcomes. Uptime improves when downtime is minimized.
This presentation addresses the successful implementation of a continuous remote monitoring system designed to improve long-term CEMS performance. Key areas addressed in this presentation include:
• Digital transformation and IoT solution overview
• Actionable insight baseline
• Case Study: field data and real time data analysis
• Lessons learned
B1.2 CEM Sample Systems
B1.2 CEM Sample Systems
Bob Bertik – Universal Analyzers
CEM Sample Systems are often overlooked or given the least amount of attention in the design of a Gas Analysis System. But arguably it is the most important engineered segment of any Gas Analysis System.
As happens often, those responsible for designing and packaging a Continuous Emissions Monitoring System overlook the small details that will make or break a CEMS Performance.
And those that maintain these systems for the most part inherit what they have, were not part of the initial design and often times ask themselves, “there’s got to be a better way!”.
Getting a representative sample, transporting it to the analyzer enclosure and conditioning it without removing the required measured analytes is not a one size fits all approach.
This discussion will touch on the considerations for the Sample Conditioning and Transport segment for a CEMS Sample System both during initial design and post installation enhancements.
B1.3 Multi-gas FTIR Monitoring in Carbon Capture Processes
B1.3 Multi-gas FTIR Monitoring in Carbon Capture Processes
Alejandra Cabrera – Gasmet
Carbon capture plants deploy several methods ranging from membranes, to amine-based technologies that involve components which degrade into ammonia, formamide, aldehydes, organic acids, nitrosamines and other toxic gaseous species. Gas products pose challenges for sampling and analysis given the presence of water vapor and high concentrations of carbon dioxide as well as certain water-soluble compounds.
There are currently stationary and semi-portable hot-wet FTIR (Fourier Transform Infrared Spectroscopy) instruments for online analysis and gas emissions monitoring from such plants. These units scan a wide wavenumber spectrum where several species absorb infrared light, allowing to simultaneously measure more than 25 gases. FTIR analytes include standard criteria pollutants such as CH4, CO2, NOx, SO2, acid gases, NH3, aldehydes, and other VOCs, and extend to amines and amine by-products observed in CO2 absorber and amine stripping towers. Some of these substances are ecotoxic, have low biodegradability, and are known to cause cancer.
This presentation reviews FTIR principles, sampling solutions, and available configurations for online gas analysis at carbon capture and storage plants. It highlights industrial and laboratory scale case studies using semi-portable and CEM systems, and advantages as related to analytical performance, component flexibility, and maintenance requirements.
Co-Author: Jim Cornish, Gasmet Technologies
QUESTIONS
1. How are different gas matrices and concentrations analyzed?
2. What gas components cannot be monitored with FTIR?
3. Can I measure from multiple sampling points within a plant?
B2.3 Atmospheric effects of high-rise buildings: PALM4U CFD – WRF/Chem application over Madrid (Spain)
B2.3 Atmospheric effects of high-rise buildings: PALM4U CFD - WRF/Chem application over Madrid (Spain)
Roberto San Jose – Technical University of Madrid
The Parallelized Large-Eddy Simulation (LES) Model adapted for urban areas (PALM4U, Leibnitz Hannover University, Germany) was applied to model the effects of high-rise buildings on urban meteorology and air pollution. The 3D numerical CFD simulation has a high resolution grid (10 x 10 x 10 meters). In the domain there are two office buildings that have a height of 114 m with an inclination of 15º and four towers of 250 m. The model has been run using the RANS mode (Reynolds-Averaged Navier-Stokes) due to the high computational cost of the LES mode, however, short periodos are shown in LES mode. Results show detailed spatial dispersion patterns of air pollution and wind flows and how the high-rise buildings affect the surrounding air flows, with the generation of “dead-zones” and high-concentration “hotspots”. The results show the concentrations of O3, NOx, SOx, CO, PM10 and PM2.5 in the area in a 3D environment, with particular emphasis on those areas located close the high-rise buildings in comparison with those areas surrounded with regular hight buildings. In addition, we will show vertical concentration profiles affecting areas close to the building surfaces.
A simulation of outdoor air quality and indoor in two buildings (office and housing) located in the centre of Madrid (Spain) has been run. The simulations are performed for the 2016 year. In indoor pollution simulations it is very important to model all the physical processes that affect concentrations, such as: emission, infiltration, deposition, mechanical and manual ventilation (closely related to the thermal comfort range of the building) and air exchange between rooms through the doors. The WRF/Chem atmospheric dispersion model is used to know outdoor pollution and meteorological conditions with high spatial (1 km) and temporal (1 hour) resolution and the energy model of the EnergyPlus building to simulate internal pollutants. The Generic Pollutant Model in EnergyPlus allows integrated modeling of multi-zone pollutants and dynamic thermal behavior within a single simulation package. From the concentrations, it has been estimated the exposure of several people who follow a predefined time pattern to pollutants to determine the health impacts of different internal emission sources. The impacts on the health of the emitting sources are greater in the warm months due to the operation of the air conditioning system. While the lowest impacts occur when air conditioning and heating do not work (transition days between hot and cold periods, March and October). The health impact of indoor emission sources is greater than outdoor pollution.
Co-Author: Juan Luis Perez-Camaño, Libia Perez and Rosa Maria Gonzalez-Barras, Technical University of Madrid
B2.5 Full-scale Demonstration of Multi-process Sensor at a Cycling PC-fired Boiler
B2.5 Full-scale Demonstration of Multi-process Sensor at a Cycling PC-fired Boiler
Hong-Shig Shim – Reaction Engineering International
A multi-process sensor that is capable of monitoring real-time boiler conditions has been developed and demonstrated in pulverized coal-fired units. The sensor can provide information on corrosion, deposition, surface temperature, and heat flux which can be utilized for advanced control and plant performance optimization. The real-time sensor is increasingly relevant as coal power plants shift from predominantly base-load operations to predominantly transient operations involving large load swings. The system has been under continuous operation for over 10,000 hours and the results will be discussed focusing on the issues related to cycling impacts.
B3.1 Emissions Monitoring Systems: Understanding Essential CEMS Maintenance Items
B3.1 Emissions Monitoring Systems: Understanding Essential CEMS Maintenance Items
Donny Klotz – ESC Spectrum
Visible Emissions Observations are a subjective decision-making process. Typical requirements for the various Methods all require paper documentation of the observations to be created by observers. There is now the ability to create a digital record and the systems to automate these processes are being created. Compliance Assurance Associates, Inc. has created the VEO-APP to provide a digital documentation of observations and is in the process of marrying this technology with the Digital Opacity Measurement system – (a program to Analyze a Photo of the emission point) created by Mark Rood’s team at the University of Illinois Urbana Campus. What is the current state of the Art for this Technology?
Co-Author: Mark Rood
QUESTIONS
1. What will this hold for the future of Visible Emission Training and Certification?
2. Is the Technology able to separate Water Vapor Emissions and “see” opacity where water vapoir now blocks the observation of the emission?
3. When will the Digital Camera system be operational for BETA testing?
4. Will Cameras replace opacity observers in the near future?
B3.2 Risk Management Programs and Power Plants: A Real World Approach and What can we Learn from Process
B3.2 Risk Management Programs and Power Plants: A Real World Approach and What can we Learn from Process
Adam Jackson – ESC Spectrum
This presentation summarizes real world approach and best practices for achieving 40 CFR Part 68 RMP Program Level 1, 2 and 3 success in power generation through evaluating other industries and how they’ve implemented both RMP and PSM programs. We will evaluate risks and mitigation approaches associated with the storage and usage of aqueous and anhydrous ammonia at facilities that require selective catalytic (SCR) reduction for NOX controls. Our focus will emphasize best practices specific to power generation to reduce operational downtime, achieve success during audits, and most importantly maximize employee and contractor safety.
OPEN SLOT
AVAILABLE SPOT
Normally when the steam based plants were designed , they have efficiency of 41-42%. However, after few years of operation, the annual efficiencies of some 20-30 year old plants falls in the range of 30-37% depending upon how good the operation and maintenance is done by the asset owners. The drop in efficiency and increase in maintenance cost causes enormous financial burden to the extent that the plants are forced to retire even prematurely. We present here a case study of 2×300 MWe wherein when the assets are managed effectively, the power plant can continue to operate and generate revenue for the asset owners.
B2.1 New Carbon-in-Ash Monitor to Increase Accuracy and Reliability at Industrial Plants
B2.1 New Carbon-in-ash Monitor to Increase Accuracy and Reliability at Industrial Plants
Enrique Bosch – Inerco
The proper measurement of carbon-in-ash in coal plants is critical to optimize the boiler operation as this parameter has direct effect on NOx generation and efficiency of the unit. Also it is important for the quality control of the ashes when sold to the cement plants to produce clinker.
This process is normally made by manual sampling and lab analysis which typically requires several days. When conventional on-line analyzers are used (microwaves, infra-red, etc.), they have reported lack of accuracy and representativity when the operating conditions or fuel composition change over time.
INERCO´s monitor provides accurate measurements by automatically reproducing laboratory conditions, combining appropriate weight and calcination stages. The result is an innovative calibration-free technology that provides reliable results without interferences from the properties of coal or fly-ash and process conditions.
Co-Authors: Enrique Tova, Miguel Portilla, Miguel Delgado; INERCO
QUESTIONS
1. Does the calcination techniques described others application in industrial plants?
2. Does the system allow the use of several samplers? How many?
3. What are the typical maintenance considerations required by the system?
B2.2 Dynamic Plume Modeling to Prepare & Respond to Chemical Emergencies
B2.2 How to Use Dynamic Plume Modeling to Prepare for and Respond to a Chemical Emergency
Fred Humbert – Industrial Scientific
There is an ammonia leak on your site – but you have no idea where it’s located. Your first priority is securing your facility and the community – but with the limited visibility you have, there is no way to know the full impact of the leak. Do you need to evacuate people? And if so, who? Will anyone in the greater community be impacted? These are likely questions that you will want to have answers to, and fast.
In this presentation, we will discuss dynamic plume modeling, the benefits that dynamic plume modeling, how to use modeling software and on site sensors to prepare for and manage a chemical emergency, and Create the most effective action plan so that you can protect your employees and the community.
QUESTIONS
1. What’s the difference between a dynamic plume model and a static plume model?
2. Can you give examples of how this would be used outside of emergency planning?
B1.5 CFB Baghouse Optimization given the Use of Gore Membrane Filter Technology Advancements
B1.5 CFB Baghouse Optimization given the Use of Gore Membrane Filter Technology Advancements
John Knotts – Gore
Each Coal Fired Power plant comes with its own set of unique challenges. Plant operators are constantly balancing output requirements with a never-ending list of ongoing maintenance. Equally as important, these demands need to be balanced with environmental compliance, energy consumption and overall plant profitability. This paper will highlight real time data logged from a Lignite based coal fired power plant and how a simple change in filter bags is allowing for a significant increase in total airflow. Additional details will be shared how this resulting lower membrane filter resistance can be optimized to allow for lower pressure drop, less cleaning, longer effective bag life, higher airflow and less sorbent injection usage . . . and how the use of optical data logging sensors provided for the remote collection of this data through the use of a specialized cloud based technology. This plant’s desire to improve the Total Cost of Ownership of operating their main baghouse led them to this new technology and the data presented in this paper is the foundation of this decision making.
Co-Authors: Tarun Poddar, W. L. Gore & Associates Inc.; Joe Talent and Harry Sim, Cypress Envirosystems
B1.6 Refinery Fenceline Open Path Monitoring Rule 1180 Lessons Learned Detection Limits And QA
B1.6 Refinery Fenceline Open Path Monitoring Rule 1180 Lessons Learned Detection Limits And QA
Gilad Spitzer
The presentation will cover the following topics:
• Overview of South Coast AQMD’s Rule 1180 requirements
• Evaluation of published monitoring data
• Comparison of initial monitoring plans with program goals and requirements
• Detection limits
TELEDYNE API CEMS TRAINING WORKSHOP
Teledyne API CEMS TRAINING WORKSHOP
This presentation will cover the new TAPI N-Series platform. This will include changes in the architecture of the instruments and comparisons between it and our previous generation T-Series platform. The session will be a mix of PowerPoint and live feeds where it will showcase the hardware of the N100 SO2 analyzer using multiple cameras. It will cover the specific parts of the instruments that relate to the CEMs marker such as ease of maintenance, troubleshooting, and operation. This will be a sales presentation but will have the good information that folks attending would expect to learn.
Bryan will also present a second presentation later on Chemiluminescence NOx analyzers work by detecting the light emitted when Nitric Oxide (NO) reacts with ozone (O3). In order to measure Nitrogen Dioxide (NO2) by chemiluminescence, the sample must first be converted to NO. Two common methods for the conversion of NO2 to NO are heated stainless-steel and molybdenum converters. Either converter type has pros and cons and will be chosen based on the monitoring application to maximize performance and operation. This discussion will focus on how to select the proper converter for your application, along with maintenance and efficiency expectations.
Co-Authors: Doug Haugen, Tim Morphy, Patrick King, Jesse Mendoza; Teledyne-API
QUESTIONS
1. What is the expected lifespan of a molybenum or stainless steel converter in a NOx analyzer.
2. How does the choice of converter affect interferents in the measurement.
3. What applications are there for each type of converter.
ESC DAS WORKSHOP
ESC TRAINING WORKSHOP
- Stackvision 101: The Basics
- Navigation and Features
- Why use Stackvision?
- CEMScape
- What is CEMScape and how would it help you?
- Custom Reports
- Review the benefits of Custom Reports
- Cylinder Management
- Review the new and improved Calibration Gas Cylinder Management Tool
- Record Keeping: The Many Ways to Track your DAS
- LogBook
- Alarm Acknowledgement
- DataLab Editing
- System Design Reports
B1.4 Comparison of Emerging Technology Quantification of HRVOC and OHAP
B1.4 Comparison of Emerging Technology Quantification of HRVOC and OHAP
Peter Zemek – Montrose
Various types of sampling and analysis strategies have been developed and implemented for the identification and quantitation of HRVOC and other OHAP. This presentation will present the advantages and disadvantages of the current testing methods, and compare and contrast them to emerging technologies that are currently in development for the field and laboratory. Discussion will focus on sampling and analysis techniques including gas chromatography via USEPA Method 18, USEPA Method 320 for organics, optically enhanced FTIR for low level detection of specific organic analytes, and quantitation of various ultra-low detection limit concentrations of HRVOC and OHAP using real-time Proton Transfer Time of Flight Mass Spectroscopy (PTR) and GC Interfaced PTR compliance testing by EPA Method 18. Emphasis will be placed on the emerging technologies utilized by PTR mass spectrometry instrumentation.
Co-Author: Dr. Steve Yuchs, Montrose Environmental Group
B2.4 Driving Improvements in Air Emissions and Permit Management with Digital Transformation
B2.4 Driving Improvements in Air Emissions and Permit Management with Digital Transformation
Mauri Paz – Cority
Environmental professionals manage thousands of tasks and data points to manage air emissions and stay in compliance with Title V permits. Like many organizations, utilities are realizing the power of technology to collect, track, measure, analyze, and leverage data – including increased efficiency, fewer violations and improved visibility into compliance status.
Join this session to learn how utility companies use technology to answer the top questions often asked by management and operations:
– What is the fuel mix range we can use to stay under our permit limits?
– What is the maximum production output we can achieve based on permitted equipment?
– Do we need to buy or can we sell NOx/Sox/Carbon credits?
QUESTIONS
1. What concrete ways can air emissions software help me save money and manage my emission credits?
2. How do I convince operations to adopt technology?
3. How can I reduce data collection errors when managing air emissions?
EUEC 2019
EUEC 2018
EUEC 2017