Brian Tarroja

Dr. Brian Tarroja


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Journal of Hydrology
Verified
Journal Article
Closed access
PQPengcheng Qin
Pengcheng Qin
HXHongmei Xu
Hongmei Xu
MLMin Liu
Min Liu
LDLiangmin Du
Liangmin Du
CXChan Xiao
Chan Xiao
BTBrian Tarroja
Brian Tarroja

1 September 2016 in Energy
Verified
Journal Article
Closed access
BTBrian Tarroja
Brian Tarroja
AAAmir Aghakouchak
Amir Aghakouchak
SSScott Samuelsen
Scott Samuelsen

1 July 2016 in Energy
Verified
Journal Article
Closed access
BTBrian Tarroja
Brian Tarroja
LZLi Zhang
Li Zhang
VWVan Wifvat
Van Wifvat
BSBrendan Shaffer
Brendan Shaffer
SSScott Samuelsen
Scott Samuelsen

1 December 2016 in Journal of Power Sources
Verified
Journal Article
Closed access
KFKate E. Forrest
Kate E. Forrest
BTBrian Tarroja
Brian Tarroja
LZLi Zhang
Li Zhang
BSBrendan Shaffer
Brendan Shaffer
SSScott Samuelsen
Scott Samuelsen

1 September 2018 in Applied Energy
Verified
Journal Article
Closed access
BTBrian Tarroja
Brian Tarroja
FCFelicia Chiang
Felicia Chiang
AAAmir Aghakouchak
Amir Aghakouchak
SSScott Samuelsen
Scott Samuelsen
SRShuba V. Raghavan
Shuba V. Raghavan
THTianzhen Hong
Tianzhen Hong

14 October 2025 in Water
Verified
Journal Article
Open access
PDF file
PBPooria Ghorbani Bam
Pooria Ghorbani Bam
NRNader Rezaei
Nader Rezaei
ARAlexander Savvas Roubanis
Alexander Savvas Roubanis
DADana Austin
Dana Austin
EAElinor Austin
Elinor Austin
Diego RossoDiego Rosso
Diego Rosso
As cities develop and resource demands rise, the water sector faces crucial challenges to deliver reliable, sustainable, and efficient services. Digital Twins (DTs), virtual replicas of physical systems, offer a promising tool to transform how we manage water infrastructure. Originally developed in the aerospace industry, DTs are now gaining traction in the water sector, enabling real-time monitoring, simulation, and predictive control of water and wastewater treatment, collection and distribution networks, and water reclamation and reuse systems. While still emerging in the water sector, DTs have shown potential to enhance operational efficiency, reduce environmental impacts, and support smarter, more resilient water management. This review study provides a comprehensive overview of current DT applications in the water sector, highlighting successful case studies, technical challenges, and knowledge gaps. It also explores how DTs can help bridge the water–energy nexus by optimizing resources utilized across interconnected systems. By synthesizing recent advances and identifying future research directions, this paper illustrates how DTs can play a central role in building sustainable, adaptive, and digitally-enabled water infrastructure.