Publications

Sep, 2026

Conference Paper

High-frequency parameter updates in digital twins: Report on a 2-week challenge test for fully autonomous adaptive operation of an effluent water recovery system.

Digital twins (DTs) that can predict the transient behaviour of a water treatment plant combined with buffer capacity, enable reductions in specific energy consumption (SEC) in response to time-of-use (TOU) electricity costs. The accuracy of a DT depends on the richness of its training data (Conejos Fuertes et al. 2020). However, process changes cannot easily be tested in…

Mar, 2026

Journal

Predicting initial trans-membrane pressure across cycles in the ultrafiltration process using random forest

With growing freshwater scarcity, direct potable reuse (DPR) systems that reclaim wastewater for drinking are becoming increasingly important for sustainable water supply. Reliable operation requires minimizing downtime in ultrafiltration (UF) units, where membrane fouling leads to elevated trans-membrane pressure (TMP). This study develops data-driven regression models ba…

Mar, 2026

Conference Paper

Minimizing specific energy consumption using digital twins

Mar, 2026

Conference Paper

Minimizing specific energy consumption using digital twins

Mar, 2026

Conference Paper

Predicting Initial Trans-Membrane Pressure for Optimized Operations in UF Unit Using Random Forest

With the growing scarcity of freshwater, innovative process design mechanisms like Reverse Osmosis (RO) are increasingly gaining attention among water treatment utilities to address the rising demand. Ensuring reliable water production necessitates efficient resource utilization, minimizing downtime in (ultra-filtration) UF systems. Recent advancements in machine learning…

Mar, 2026

Conference Paper

A DATA EFFICIENT SPARSE MODELING FRAMEWORK FOR POWER ESTIMATION IN WATER TREATMENT SENSING OPERATIONS

With increasing freshwater scarcity, advanced process design mechanisms such as Closed-Circuit Reverse Osmosis (CCRO) and Digital/Physical Twin systems are gaining traction in water treatment and reuse operations. While digital and physical twin models enable improved system insight and control, their development is often expensive and computationally intensive, requiring…

Mar, 2026

Conference Paper

Predicting Initial Trans-Membrane Pressure for Optimized Operations in UF Unit Using Random Forest

With the growing scarcity of freshwater, innovative process design mechanisms like Ultra-filtration(UF) units are increasingly gaining attention among water treatment utilities to address the rising demand. Ensuring reliable water production necessitates efficient resource utilization, minimizing downtime in UF systems. Recent advancements in machine learning (ML) have ena…

Aug, 2025

Journal

Closing the loop: model-predictive control for a closed-circuit reverse osmosis system

This article presents a model-predictive controller (MPC) for the maximization of the energy efficiency of a closed-circuit desalination reverse osmosis (CCRO) system. CCRO is a process for producing drinking water that is based on a cyclic operation with the following two phases: (a) filtration and (b) drain. In this article, we test model predictive control for optimal c…

Aug, 2025

ORNL Report

Magnetic Bearing Pumps for Molten Salt Fusion Energy Devices: CRADA NFE-22-09139 Final Report

Jan, 2025

Journal

Autonomous online optimization of a closed-circuit reverse osmosis system

As freshwater becomes increasingly scarce, many industrial and municipal water utilities look at premise-scale water treatment and reuse to meet water demand. Closed-circuit reverse osmosis (CCRO) has been proposed as a promising process design to do so. This sequencing batch process enables operation at higher brine salinity levels by means of a recycle flow. Optimal oper…

Sep, 2024

ORNL Report

Oak Ridge National Laboratory’s Strategic Research and Development Insights for Digital Twins

Apr, 2024

Conference Paper

Battery Energy Storage Scheduling for Optimal Load Variance Minimization

Generation portfolio can be significantly altered due to the deployment of distributed energy resources (DER) in distribution networks and the concept of microgrid. Generally, distribution networks can operate in a more resilient and economic fashion through proper coordination of DER. However, due to the partially uncontrollable and stochastic nature of some DER, the vari…