Solution: Using data-driven predictive modeling technologies with historical data, optimized parameter settings for changes to airflow were identified, resulting in a set of specific, achievable input parameter ranges that were easily implemented into the existing DCS (digital control system). Results: After optimization, NOx emissions under low-load operations were comparable to NOx emissions under higher loads. As these specific examples illustrate, there are numerous opportunities for advanced analytics to make a significant contribution to the power industry. Using data and predictive models could help decision makers get the best efficiency from their production system while minimizing the impact on the environment. Source: Based on the Stat Soft, Success Stories, statsoft.com/Portals/ 0/Downloads/EPRI.pdf (accessed June 2018) and the statsoft.fr/ pdf/QualityDigest_Dec2008.pdf (accessed February 2018). 2 Elaborate on how Stasoft software developed integrated decision support tools of power generators. BACHELOR OF COMMERCE YEAR 3 - ACADEMIC AND ASSESSMENT CALENDAR - DISTANCE competitive, producers of power need to maximize the use of their variety of resources by making the right decisions at the right time. StatSoft, one of the fastest growing providers of customized analytics solutions, developed integrated decision support tools for power generators. Leveraging the data that come from the production process, these data mining-driven software tools help technicians and managers rapidly optimize the process parameters to maximize the power output while minimizing the risk of adverse effects. Following are a few examples of what these advanced analytics tools, which include ANN and SVM, can accomplish for power generators. - Optimize Operation Parameters Problem: A coal-burning 300MW multicyclone unit required optimization for consistent high flame temperatures to avoid forming slag and burning excess fuel oil. Solution: Using StatSoft's predictive modelling tools (along with 12 months of three-minute historical data), optimized control parameter settings for stoichiometric ratios, coal flows, primary air, tertiary air, and split secondary air damper flows were identified and implemented. Results: After optimizing the control parameters, flame temperatures showed strong responses, resulting in cleaner combustion for higher and more stable flame temperatures. - Predict Problems Before They Happen Problem: A 400 MW coal-fired DRB- 4Z burner required optimization for consistent and robust low NOx operations to avoid excursions and expensive downtime. Identify root causes of ammonia slip in a selective noncatalyticreduction process for NOx reduction. Solution: Apply predictive analytics methodologies (along with historical process data) to predict and control variability; then target processes for better performance, thereby reducing both average NOx and variability. Results: Optimized settings for combinations of control parameters resulted in consistently lower NOx emissions with less variability (andno excursions) over continued operations at low load, including predicting failures or unexpected maintenance issues. - Reduce Emission (NOx, CO) Problem: While NOx emissions for higher loads were within acceptable ranges, a 400MW coal-fired DRB- 4Z burner was not optimized for low-NOx operations under low load (50-175 MW). The electrical power industry produces and delivers electric energy (electricity or power) to both residential and business customers wherever and whenever they need it. Electricity can be generated from a multitude of sources. Most often, electricity is produced at a power station using electromechanical generators that are driven by heat engines fuelled by chemical combustion (by burning coal, petroleum, or natural gas) or nuclear fusion (by a nuclear reactor). Generation of electricity can also be accomplished by other means, such as kinetic energy (through falling/flowing water or wind that activates turbines), solar energy (through the energy emitted by sun, either light or heat), or geothermal energy (through the steam or hot water coming from deep layers of the earth). Once generated, electric energy is distributed through a power grid infrastructure. Even though some energy-generation methods are favoured over others, all forms of electricity generation have positive and negative aspects. Some are environmentally favoured but are economically unjustifiable; others are economically superior but environmentally prohibitive. In a market economy, the options with fewer overall costs are generally chosen above all other sources. It is not clear yet which form can best meet the necessary demand for electricity without permanently damaging the environment. Current trends indicate that increasing the shares of renewable energy and distributed generation from mixed sources has the promise of reducing/balancing environmental and economic risks. The electrical power industry is a highly regulated, complex business endeavor. There are four distinct roles that companies choose to participate in: power producers, transmitters, distributers, and retailers. Connecting all the producers to all of the customers is accomplished through a complex structure, called the power grid. Although all aspects of the electricity industry are witnessing stiff competition, power generators are perhaps the ones getting the lion's share of it. To be 95 REGENT BUSINESS SCHOOL (RBS) - JANUARY 2023