Water Use Optimization Toolset Project: Development and Demonstration Phase Draft Report

Gasper, J.; Veselka, T.D.; Mahalik, Matthew; Hayse, J.; Saha, Samrat; Wigmosta, Mark S.; Voisin, Nathalie; Rakowski, Cynthia L.; Coleman, André M.; Lowry, Thomas Stephen

doi:10.2172/1131706

Cited by 3 publications

(3 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following the optimization, the user is informed of when, where, and how to best apply available resources in order to meet the stated system goals. A detailed technical description of the CHEERS model along with sample applications can be found in Gasper et al (2013).…”

Section: A42 Hourly Dispatch and Water Managementmentioning

confidence: 99%

Hydropower Value Drivers

Levin,

Somani,

Oikonomou

et al. 2023

View full text Add to dashboard Cite

 Conventional hydro resources generate the majority of their value by providing energy under most conditions, but the relative fraction of value generated by providing ancillary services and capacity increases with increasing penetration of resources with zero fuel costs. Pumped storage hydropower resources generate the majority of their value by providing capacity under most conditions, but the relative fraction of value generated by providing energy increases with increasing penetration of resources with zero fuel costs. The total value of conventional hydropower generally decreases in systems with increasing penetration of resources with zero fuel costs; this is largely due to the associated decrease in average energy prices. The total value of pumped storage generally increases in systems with increasing penetration of resources with zero fuel costs, largely due to opportunities to operate in pumping mode when energy prices are low or even negative. Energy storage representation must be enhanced to ensure that models accurately capture system value streams for these resources. Current power system models have a limited ability to capture the price dynamics of ancillary services, and it is still challenging to assess the role and magnitude of ancillary service value streams in future systems.Power systems are currently in a state of rapid and dramatic evolution due to a number of different factors, including the increasing penetration of variable renewable energy (VRE) sources, such as wind and solar, and battery energy storage systems (BESS). This evolution will change the way power systems are fundamentally planned and operated. Some of these changes may be incremental, while others may be more significant, but the result will likely be parallel evolution in the definition and requirement of different grid services and therefore a subsequent shift in their relative values.This report presents a framework developed to identify such system value drivers and quantify their relative impact on several different value streams, with a specific focus on implications for conventional hydropower and pumped storage hydropower (PSH) resources. This value drivers framework (VDF) encompasses five core analytical steps:

show abstract

Section: A42 Hourly Dispatch and Water Managementmentioning

confidence: 99%

Hydropower Value Drivers

Levin,

Somani,

Oikonomou

et al. 2023

View full text Add to dashboard Cite

show abstract

“…An example might be the temperature impact of releases from a dam and the follow-on effect on the various types of fish populations. Tools such as the 'instream river function' (IRF) that integrates multiple environmental objectives across the entire river basin (Gasper et al, 2013) might be a suitable approach here. Third, how are the dynamic linkages between the market and non-market sides expressed?…”

Section: Potential Conceptual Model Frameworkmentioning

confidence: 99%

Measuring Non-Market Values for Hydropower Production and Water Storage on the Colorado River: A White Paper Investigation

Lowry

Chermak

Brookshire

et al. 2017

View full text Add to dashboard Cite

This study presents a conceptual framework for capturing the spatial and temporal aspects of non-market dimensions of value (DOV) and how they vary as the result of policy changes for hydropower generation and developed water uses. The foundation of this project is a literature review that reveals that focused, sector specific valuations are no longer adequate if the goal is to provide decision makers with a complete understanding of their decisions. Rather, estimates of non-market values for informing decisions regarding dam operations and/or other water management alternatives must consider the entire spectrum of market and non-market values, and the tradeoffs (both positive and negative) between those values over time and space, while considering shifting preferences in an uncertain environment. This document describes the history and reasoning for these conclusions and presents a conceptual framework for understanding non-market values as a function of changes to hydropower operations and water resources management.

show abstract

“…ATIIM-produced metrics can be included as part of multiobjective optimization of flows from upriver dams that not only address accessible habitat, but other objective functions such as power generation, flood control, navigation, water temperature, floodplain agriculture, and dissolved oxygen limits (Gasper et al, 2014). The effects of flow patterns on accessible habitat can be evaluated at characteristic sites that extend through the tidalfluvial and tidally dominated sections of the LCRE (Jay et al, 2015;Jay et al, in revision).…”

Section: Future Applications and Developmentsmentioning

confidence: 99%

A spatially based area–time inundation index model developed to assess habitat opportunity in tidal–fluvial wetlands and restoration sites

Coleman

Diefenderfer

Ward

et al. 2015

Ecological Engineering

View full text Add to dashboard Cite

A B S T R A C T A geographic information system (GIS)-based Area-Time Inundation Index Model (ATIIM) was developed to predict and evaluate availability of hydrologically connected habitats in estuarine and tidal-fluvial regions. The model establishes and describes patterns in the spatial and temporal relationships of the land and water including non-dimensional area-time and volume-time inundation indices. The processing integrates in situ or modeled water-surface elevation (WSE) data with high-resolution elevation data, using established terrain generation and spatial hydrologic analysis methods which are applied in a new geographic domain: the low-relief microtopography characteristic of coastal wetlands. The ATIIM links these data to newly developed, spatially continuous wetted-area algorithms in a GIS module and determines site average bankfull elevation, two-and three-dimensional inundation extent, and other spatial, tabular, and graph-based metrics. It is a cost-effective, rapid assessment tool suitable for the desktop planning environment, and represents an advance over methods that estimate inundation but do not enforce hydrological connectivity. Example model outputs for 11 tidal wetland areas in the lower Columbia River floodplain and estuary illustrate habitat opportunity for threatened and endangered salmon. Outputs for wetland reference sites (tidal marshes and tidal forested wetlands) are compared with river-restoration sites where objectives include increasing salmon access to beneficial habitats by hydrologically reconnecting channels in diked areas of the floodplain. Hydrological process metrics produced by the model, both new and commonly used, support the prioritization of proposed restoration sites, pre-construction planning, and post-construction evaluation. For example, the model can help determine relationships between WSE and habitat opportunity, contrast alternative restoration designs, predict impacts of altered flow regimes, estimate nutrient and biomass fluxes, and provide standardized site comparisons to support effective monitoring of the developmental trajectories of restoration sites.

show abstract

Water Use Optimization Toolset Project: Development and Demonstration Phase Draft Report

Cited by 3 publications

References 37 publications

Hydropower Value Drivers

Hydropower Value Drivers

Measuring Non-Market Values for Hydropower Production and Water Storage on the Colorado River: A White Paper Investigation

A spatially based area–time inundation index model developed to assess habitat opportunity in tidal–fluvial wetlands and restoration sites

Contact Info

Product

Resources

About