| Author | Search for: Recio-Garrido, Dídac1 ; Search for: Perrier, Michel; Search for: Tartakovsky, Boris2 |
|---|
| Name affiliation | - National Research Council Canada
- National Research Council Canada. Energy, Mining and Environment
|
|---|
| Format | Text |
|---|
| Type | Article |
|---|
| Journal title | Chemical Engineering Journal |
|---|
| ISSN | 1385-8947 |
|---|
| Volume | 289 |
|---|
| Pages | 180–190; # of pages: 11 |
|---|
| Subject | Beryllium; Fuel cells; Models; Optimization; Regenerative fuel cells; Wastewater treatment; Bio-electrochemical systems; Bioelectrochemical systems (BESs); Electrode material; Microbial electrolysis cell (MECs); Microbial fuel cells (MFCs); Model based optimization; Optimization and control; Organic materials; Microbial fuel cells |
|---|
| Abstract | Bioelectrochemical systems (BESs) such as Microbial Fuel Cells (MFCs) and Microbial Electrolysis Cells (MECs) are capable of producing energy from renewable organic materials. Over the last decade, extensive experimental work has been dedicated to exploring BES applications for combined energy production and wastewater treatment. These efforts have led to significant advancement in areas of BES design, electrode materials selection, as well as a deeper understanding of the associated microbiology, which helped to bring BES-based technologies within commercial reach. Further progress towards BES commercialization necessitates the development of model-based optimization and process control approaches. This work reviews existing MFC and MEC dynamic models as well as the emerging approaches for optimization and control. |
|---|
| Publication date | 2015-12-24 |
|---|
| Publisher | Elsevier |
|---|
| Language | English |
|---|
| Peer reviewed | Yes |
|---|
| NPARC number | 21277450 |
|---|
| Export citation | Export as RIS |
|---|
| Report a correction | Report a correction |
|---|
Record identifier | e8be7562-ff79-480a-964a-9d9a59893234 | | Record created | 2016-03-09 |
|---|
| Record modified | 2019-08-21 |
|---|
