Generation Plant Cost of Operations and Cycling Optimization (COCO) Model

Generation Plant Cost of Operations and Cycling Optimization (COCO) Model

Project Objectives

COCO project will develop a model to accurately estimate the cost of cycling large coal plants so that they can be operated efficiently as part of a comprehensive strategy for generation planning and dispatch.

Technical Scope Summary

PNNL work scope is divided into two tasks:

  1. Support data-driven modeling of the cycling cost by developing improved machine learning models and a method to optimize boiler cycling for cost efficiency,
  2. Modeling integration and testing. The specific details of each task are provided below.

Task 1.

Task 2.

Code documentation

config.py

class config.config(confFile)

Class to set up the test case configuration.

get_configPath()

Returns the configuration file path.

Returns:configPath
Return type:string, location of configuration file

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