Work

Innovative Computational Tools and Models for the Design, Optimization and Control of Carbon Capture Processes

Year: 2017

Type: other

Abstract: Cost effective CO2 capture processes are of paramount importance for significantly reducing greenhouse gas emissions. In order to accelerate the development and scale up of such technologies, the U.S. Department of Energy's Carbon Capture Simulation Initiative created an innovative suite of computational tools and models. The resulting computational framework supports (1) rapid synthesis of complete, optimized processes, (2) identification of promising device configurations, (3) assessment of sources and effects of model and parameter uncertainty, to guide experimental and pilot scale testing towards acquiring the most important types of data, and (4) assessment of dynamic process behavior and deployment of advanced process control techniques, to minimize the impact on the power plant and ensure that the integrated power/capture/compression system is able to respond to changing plant conditions and disturbances. A case study on a solid sorbent CO2 capture system describes the advanced process models and demonstrates the capabilities of the framework.

DOI: 10.1002/9781119106418.ch12

Authors: David C. Miller, Deb Agarwal, Debangsu Bhattacharyya, Joshua Boverhof, Yang Chen, John Eslick, Jim Leek, Jinliang Ma, Priyadarshi Mahapatra, Brenda Ng, Nikolaos V. Sahinidis, Charles Tong, Stephen E. Zitney

Institutions: National Energy Technology Laboratory, Lawrence Berkeley National Laboratory, West Virginia University, Lawrence Livermore National Laboratory, Carnegie Mellon University

Language: English

Topic: Carbon Dioxide Capture Technologies

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

Funders: U.S. Department of Energy, Office of Fossil Energy

OpenAlex ID: W4240675843

Cites: 39

Cited by: 8

Related to: 10