Microalgae modeling in water resource recovery facilities: Toward a consensus

Brian Shoener, Benedek Plosz, B Valverde-Pérez, Dorottya Wagner, Jeremy Guest

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Microalgal resource recovery systems could significantly advance nutrient recovery from wastewater by achieving effluent nitrogen (N) and phosphorus (P) levels below the current limit of technology. The successful implementation of algae, however, requires the formulation of process models that balance fidelity and simplicity to accurately simulate dynamic performance in response to environmental conditions. This work illustrates the range of model structures that have been leveraged for algae modeling and core model features that are required to enable reliable process modeling in the context of water resource recovery facilities. Results from an extensive literature review of over 300 published algae models are presented, with particular attention to similarities with and differences from existing strategies to model chemotrophic wastewater treatment processes (e.g., via the Activated Sludge Models). Building on published process models, the core requirements of a model structure for algal processes are presented, including detailed recommendations for the prediction of growth (under phototrophic, heterotrophic, and mixotrophic conditions), nutrient uptake, carbon uptake and storage, and respiration.
Original languageEnglish
Article number100024
JournalWater Research X
Volume2
Early online date28 Dec 2018
DOIs
Publication statusPublished - 1 Feb 2019

Cite this

Microalgae modeling in water resource recovery facilities: Toward a consensus. / Shoener, Brian; Plosz, Benedek; Valverde-Pérez, B; Wagner, Dorottya; Guest, Jeremy .

In: Water Research X, Vol. 2, 100024, 01.02.2019.

Research output: Contribution to journalArticle

Shoener, Brian ; Plosz, Benedek ; Valverde-Pérez, B ; Wagner, Dorottya ; Guest, Jeremy . / Microalgae modeling in water resource recovery facilities: Toward a consensus. In: Water Research X. 2019 ; Vol. 2.
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