- Water-Energy-Food Nexus Studies
- Smart Grid Energy Management
- Electric Power System Optimization
- Water resources management and optimization
- Integrated Energy Systems Optimization
- Microgrid Control and Optimization
- Water Systems and Optimization
- Energy and Environment Impacts
- Optimal Power Flow Distribution
- Infrastructure Resilience and Vulnerability Analysis
- Hydrology and Watershed Management Studies
- Global Energy Security and Policy
- Distributed and Parallel Computing Systems
- HVDC Systems and Fault Protection
- Superconducting Materials and Applications
- Energy Load and Power Forecasting
- Hybrid Renewable Energy Systems
- Manufacturing Process and Optimization
- Blockchain Technology Applications and Security
- Building Energy and Comfort Optimization
- Nuclear reactor physics and engineering
- Parallel Computing and Optimization Techniques
- Solar Radiation and Photovoltaics
- Cavitation Phenomena in Pumps
- Thermal Analysis in Power Transmission
Pacific Northwest National Laboratory
2021-2025
Oak Ridge National Laboratory
2024
Government of the United States of America
2023
Vanderbilt University
2022-2023
Battelle
2021
University of Utah
2017-2020
Ionian University
2018
Jensen Hughes (United States)
2018
Goodyear (United States)
2018
This paper proposes a model for optimizing the energy flexibility of water distribution systems (WDSs) in day-ahead power operation. The system operators (W-DSOs) are considered as energy-conscious entities, who run proposed WDS operation to optimize pumps and tanks minimizing cost local WDSs, given expected demand electricity prices next day. A is that used by W-DSOs order calculate offer feasible flexible capacity operator. takes into account hydraulic operating constraints networks, thus...
As energy intensive infrastructures, water distribution systems (WDSs) are promising candidates for providing demand response (DR) and frequency regulation services in power operation. However, models that tap the full flexibility of WDSs to provide while respecting operational constraints networks remained scarce. This paper proposes a comprehensive framework optimizing participation system operators (W-DSOs) DR markets, which captures joint variable pumps tanks takes into account...
Power systems incur considerable operational and infrastructural damages from high impact low probability events such as natural disasters. It therefore becomes imperative to quantify the of these disruptive on power system performance so that adaptive actions can be effectively applied. This evaluated using resilience metrics which should able assess transitions between different phases in a resides when subjected an extreme event. Also, aid evaluation effectiveness strategies. However,...
This paper proposes a fundamental model for defining and optimizing distributed energy flexibility in distribution buses, as well deliverable the aggregate that is available offering to day-ahead market by system operators (DSOs), without jeopardizing operational constraints of network. The provided flexible loads which are modeled clustered queuing systems representing aggregation large population with different service quality requirements. Further, controllable inverters interfacing solar...
With the rising electricity demand for freshwater production, power and water sectors are becoming increasingly interdependent. This vital link could create new opportunities distribution system operators to coordinate operation of their systems achieve operational cost energy efficiency benefits. paper proposes flexible power-water flow (FlexPWF) model co-optimizing energy-intensive components in with both systems. The FlexPWF leverages flexibility provided by treatment desalination plants...
Compressed air energy storage (CAES) is a large-scale technology that offers valuable source of flexibility to power systems operation. This paper proposes novel look-ahead optimization models for CAES participation in day-ahead and real-time energy, regulation up down, spinning reserve non-spinning markets. The proposed market models, formulated as mixed-integer linear programming problems, integrate detailed model takes into account the physical characteristics simultaneous operation...
As freshwater resources progressively decline, desalination capacities around the world are projected to increase. However, high electricity consumption costs hinder broader development of plants. A promising solution offset a portion these is enable water distribution system operators (W-DSOs) offer flexibility their plants in markets. This article proposes model integrate available W-DSOs operation and optimize participation demand response (DR) frequency regulation The proposed...
Power grid operations increasingly interact with environmental systems and human such as transportation, agriculture, the economy, financial markets. Our objective is to discuss modelling gaps opportunities advance science for multisector adaptation tradeoffs. We focus on power system operational models, which typically represent key physical economic aspects of over days a year assume fixed infrastructure. Due computational burden, models are customized reflect regional resource...
Water distribution systems (WDSs) are energy intensive infrastructures that rely on water storage plants and variable speed pumps for delivering to the end consumers. The WDSs represent suitable candidates enhancing flexibility of power operation through optimizing flexible components (pumps tanks). However, have traditionally been treated as infrastructure uncoupled from system operators' efforts minimize cost supplying electricity demand. In this paper, we propose a model integrating in...
Handling the variability and uncertainty associated with integrating large capacities of renewable energy sources (RES) into power grid is a challenge that increasingly influencing systems operation. At same time, growing need for desalinated water in arid areas increases importance suitable sustainable operation desalination plants. However, as system operators have traditionally operated their isolation, there lack understanding interdependence interactions between these two systems. This...
Abstract Around 60% of households in Texas currently rely on electricity for space heating. As decarbonization efforts increase, non‐electrified could adopt electric heat pumps, significantly increasing peak (highest) demand winter. Simultaneously, anthropogenic climate change is expected to increase temperatures, the potential summer waves, and associated cooling. Uncertainty regarding timing magnitude these concurrent changes raises questions about how they will jointly affect seasonality...
Variable renewable energy (VRE) droughts are periods of low electricity production due to natural variability in the weather and climate. These compound occur when two or more (typically wind solar) generation sources availability conditions at same time. Compound solar most commonly studied hourly daily timescale short-term nature markets battery storage capacity. However seasonal time scale allows for examination broader climate hydrologic patterns that influence a portfolio inform needs...
As variable renewable energy resources become a larger part of the generation mix in United States (U.S.), so does potential impact prolonged periods low wind and solar generation, known as (VRE) droughts. In future decarbonized or low-carbon grid, naturally occurring VRE droughts need to be evaluated for their on grid reliability. This study is first its kind examine impacts compound Western U.S. across range climate change infrastructure scenarios. We find that drought severity will...
Abstract Variable renewable energy (VRE) droughts are periods of low electricity production due to natural variability in the weather and climate. These compound occur when two or more (typically wind solar) generation sources availability conditions at same time. Compound solar most commonly studied hourly daily timescale short-term nature markets battery storage capacity. However seasonal time scale allows for examination broader climate hydrologic patterns that influence a portfolio...
This review-of-policy article explores Greece's recent efforts to institutionalize distributed leadership within its educational system, particularly focusing on how digital tools and e-learning platforms can support these reforms. The builds the recommendations of 2018 OECD report, "Education for a Bright Future in Greece," which emphasized need decentralizing school governance fostering collaborative models. Greek government introduced three key roles—school life consultant, curriculum...
The widespread deployment of smart heterogeneous technologies and the growing complexity in our modern society calls for effective coordination interdependent lifeline networks. In particular, operation electric power water infrastructures is urgently needed as system one most energy-intensive networks, an interruption which may quickly evolve into a dramatic societal concern. This paper develops novel analytic uncertainty-aware day-ahead optimization interconnected systems (PaWS). Joint...
Plug-in Electric Vehicles (PEVs) are increasingly being adopted in order to reduce the environmental impacts of fossil fuel-based transportation sector. However, uncontrolled charging a high number PEVs may cause sharp and unexpected load spikes power systems operation. In this paper, we propose continuous-time optimal control model for scheduling aggregated PEV generating units day-ahead The population is modeled by queuing model, which facilitates incorporating two types deadline-based...
Electric energy storage (EES) technologies have been identified as fundamental components for enhancing the reliability and resiliency of bulk electric system (BES). Although, EES resources demonstrated several benefits via increasing operational flexibility power grid, there is a lack modeling inputs, tools policy initiatives that restrict their current deployment. These limitations prevent electricity coordinators to fully evaluate impacts on adequacy reserves planning. In addition,...
Patients often have their healthcare data stored in centralized systems, leading to challenges when reconciling or consolidating across providers due databases that store patient identities. The disrupt the flow of care where time is sensitive for both patients and providers. Decentralized technologies enabled a new identity model–Self-Sovereign Identity (SSI)–that grants individuals right freely control, access, share own data. This work proposes system achieves SSI semi-permissioned...