Quantifying tradeoffs between electricity generation and fish populations via population habitat duration curves

Logan, Lauren H.; Gupta, Rohini S.; Ando, Amy W.; Suski, Cory D.; Stillwell, Ashlynn S.

doi:10.1016/j.ecolmodel.2020.109373

Cited by 13 publications

(4 citation statements)

References 68 publications

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“…Through the uniform sensitivity analysis, we showed that our water-informed OPF formulation can effectively mitigate impacts to water consumption and withdrawal from changes in system water inefficiencies or increased loading. These water-informed operational policies are especially useful if systems are experiencing sudden water constraints as these operational policies would be much quicker to deploy than more long-term solutions like a water pipeline or upgrades to plant components (Pacsi et al 2013), and they could avoid ecosystem damage from widespread granting of thermal variances (Lubega and Stillwell 2018, Micha 2014, Logan et al 2021. The proposed water-informed power system operations compliments the efforts to include water in long-term planning operations (Jornada and Leon 2016).…”

Section: Discussionmentioning

confidence: 89%

Incorporating thermoelectric power plant water use into multi-objective optimal power flow

Kravits

Kasprzyk

Baker

et al. 2022

Environ. Res.: Infrastruct. Sustain.

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Traditionally, power systems have been operated to minimize cost while maintaining reliability. However, extreme weather and demand events can affect traditional thermoelectric power generation operations due to their reliance on water for cooling. This paper contributes a novel multi-objective formulation of the optimal power flow (OPF) problem where cost, water withdrawal, and water consumption are minimized. Through this formulation, we assign optimization weights to water withdrawn and consumed, which can be directly incorporated into existing OPF formulations. We apply this formulation with a global mapping sensitivity analysis to a realistic case study to first demonstrate its general effectiveness under extreme climatic, hydrologic, and operational scenarios. Then, we apply a global ranking sensitivity analysis to determine the most influential generators for system performance. Through this operational scenario analysis framework, analysts can gain insights into potential system-level and component-level vulnerabilities within power systems. Such insights can be useful for informing both short-term operations as well as long-term power system planning.

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Section: Discussionmentioning

confidence: 89%

Incorporating thermoelectric power plant water use into multi-objective optimal power flow

Kravits

Kasprzyk

Baker

et al. 2022

Environ. Res.: Infrastruct. Sustain.

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“…Recent efforts to understand water use impacts associated with energy systems (and other uses) have largely focused on collecting inventory data. Some recent work has considered inventories or impact assessments, with efforts to include spatiotemporal resolution or conditions requiring high resolution spatiotemporal data (Chini & Delorit, 2021; Chowdhury et al, 2021; Grubert, 2020; Logan et al, 2021; Lubega & Stillwell, 2017; Pfister et al, 2020). Increasingly, volumetric water‐for‐energy research is demanded as an input for long‐term future system design as opposed to near‐term system characterization.…”

Section: Discussionmentioning

confidence: 99%

Water for energy: Characterizing co‐evolving energy and water systems under twin climate and energy system nonstationarities

Grubert

Marshall

2022

WIREs Water

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The energy system is a major water user, but understanding how much water is consumed and withdrawn for energy is a challenging empirical task: nonevaporative volumetric water use is not easily calculated from first principles. Water use also has impacts that differ in important ways depending on where water is abstracted and used, timing of use, and socioenvironmental context. Moreover, different decarbonization pathways and policy environments have very different water use implications. We currently face a crisis of twin nonstationarities in hydrology and energy systems that make understanding water use for energy critical for decision support as hydroclimate and energy systems change. Currently, water‐for‐energy data are highly uncertain and not centrally collected, which means researchers spend substantial effort collecting inventory data. Recent advances in impact assessment methods for water volumes focus largely on spatially resolved water scarcity evaluations, but robust conclusions can be elusive due to uncertain and low‐metadata inventory information. As water‐for‐energy quantification efforts progress, research should emphasize decision support for energy system design, incorporating crucial hydrologic dynamics. Beyond the location of water use, relative scarcity, and potential competing uses, these include sub‐daily to interannual temporal dynamics, the impacts of climate change on these dimensions, potential feedbacks between energy and water systems, and the impacts of hydrologic variability or change on policy‐based incentive structures. This article reviews prior US‐focused efforts to quantify water use for energy, highlights why these nonstationarities are analytically relevant with a brief policy case study, and highlights research needs for decision support under twin nonstationarities. This article is categorized under: Engineering Water > Sustainable Engineering of Water Engineering Water > Planning Water Engineering Water > Methods

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“…Understanding how measures of value change for certain electricity sectors are useful in examining the impact of various scenarios, such as future climate shock events. Utilizing methods from Logan et al (2021), the valuation tool takes in spatially explicit user inputs of electricity generation (MWh) and marginal cost ($/MWh), and uses built-in electricity price data to output measures of present value of generation for any given electricity sector at an annual timescale. Given data inputs from both a baseline and alternative scenario, the tool can also calculate the change in value between scenarios.…”

Section: Electricity Generationmentioning

confidence: 99%

“…For any given electrical sector, the valuation tool uses the following underlying equation, adapted from Logan et al (2021):…”

Section: Electricity Generationmentioning

confidence: 99%

Valuing changes in the portfolio of service flows from climate-induced extremes on a linked food, energy, water system (C-FEWS)

Chang

Ando²,

Chen³

2023

Front. Environ. Sci.

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Introduction: Recent work examining the impact of climate-change induced extremes on food-energy-water systems (FEWS) estimates the potential changes in physical flows of multiple elements of the systems. Climate adaptation decisions can involve tradeoffs between different system outcomes. Thus, it is important for decision makers to consider the potential changes in monetary value attributed to the observed changes in physical flows from these events, since the value to society of a unit change in an outcome varies widely between thing like food and energy production, water quality, and carbon sequestration.Methods: We develop a valuation tool (FEWSVT) that applies theoretically sound valuation techniques to estimates changes in value for four parameters within the food-energy-water nexus. We demonstrate the utility of the tool through the application of a case study that analyzes the monetary changes in value of a modelled heat wave scenario relative to historic (baseline) conditions in two study regions in the United States.Results: We find that food (corn and soybeans) comprises the majority (89%) of total changes in value, as heatwaves trigger physical changes in corn and soybeans yields. We also find that specifying overly simplified and incorrect valuation methods lead to monetary values that largely differ from FEWSVT results that use accepted valuation methods.Discussion: These results demonstrate the value in considering changes in monetary value instead of just physical flows when making decisions on how to distribute investments and address the many potential impacts of climate change-induced extremes.

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Quantifying tradeoffs between electricity generation and fish populations via population habitat duration curves

Cited by 13 publications

References 68 publications

Incorporating thermoelectric power plant water use into multi-objective optimal power flow

Incorporating thermoelectric power plant water use into multi-objective optimal power flow

Water for energy: Characterizing co‐evolving energy and water systems under twin climate and energy system nonstationarities

Valuing changes in the portfolio of service flows from climate-induced extremes on a linked food, energy, water system (C-FEWS)

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