Decision support for integrated water-energy planning.

Tidwell, Vincent Carroll; Malczynski, Leonard A.; Kobos, Peter Holmes; Castillo, Cesar R.; Hart, William E.; Klise, Geoffrey Taylor

doi:10.2172/976952

Cited by 22 publications

(14 citation statements)

References 5 publications

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“…This analysis makes use of the Energy, Water and Power Simulation (EPWSim) model developed by Sandia National Laboratory (Tidwell et al 2009). This decision framework is formulated within a system dynamics architecture (e.g., Sterman 2000) and implemented within the commercial software package Studio Expert 2008, produced by Powersim, Inc.…”

Section: Methodsmentioning

confidence: 99%

“…The foundation for the Energy-Water DSS is Sandia National Laboratories' Energy-PowerWater Simulation (EPWSim) model (Tidwell et al 2009). The modeling framework targets the shared needs of energy and water producers, resource managers, regulators, and decision makers at the federal, state and local levels.…”

Section: Background On Energy and Water In The Western And Texas Intementioning

confidence: 99%

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Energy-water analysis of the 10-year WECC transmission planning study cases.

Tidwell¹,

Passell²,

Castillo³

et al. 2011

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In 2011 the Department of Energy's Office of Electricity embarked on a comprehensive program to assist our Nation's three primary electric interconnections with long term transmission planning. Given the growing concern over water resources in the western U.S. the Western Electricity Coordinating Council (WECC) requested assistance with integrating water resource considerations into their broader electric transmission planning. The result is a project with three overarching objectives:1. Develop an integrated Energy-Water Decision Support System (DSS) that will enable planners in the Western Interconnection to analyze the potential implications of water stress for transmission and resource planning. 2. Pursue the formulation and development of the Energy-Water DSS through a strongly collaborative process between the Western Electricity Coordinating Council (WECC), Western Governors' Association (WGA), the Western States Water Council (WSWC) and their associated stakeholder teams. 3. Exercise the Energy-Water DSS to investigate water stress implications of the transmission planning scenarios put forward by WECC, WGA, and WSWC.The foundation for the Energy-Water DSS is Sandia National Laboratories' Energy-PowerWater Simulation (EPWSim) model (Tidwell et al. 2009). The modeling framework targets the shared needs of energy and water producers, resource managers, regulators, and decision makers at the federal, state and local levels. This framework provides an interactive environment to explore trade-offs, and "best" alternatives among a broad list of energy/water options and objectives. The decision support framework is formulated in a modular architecture, facilitating tailored analyses over different geographical regions and scales (e.g., state, county, watershed, interconnection). An interactive interface allows direct control of the model and access to realtime results displayed as charts, graphs and maps. The framework currently supports modules for 4 calculating water withdrawal and consumption for current and planned electric power generation; projected water demand from competing use sectors; and, surface and groundwater availability.

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Section: Methodsmentioning

confidence: 99%

Section: Background On Energy and Water In The Western And Texas Intementioning

confidence: 99%

Energy-water analysis of the 10-year WECC transmission planning study cases.

Tidwell¹,

Passell²,

Castillo³

et al. 2011

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“…A map of water stress ( Figure 5) was produced from a model developed at Sandia National Laboratories (Tidwell et. al, 2009).…”

Section: Regional Water Stress and Hydrogen Productionmentioning

confidence: 99%

Hydrogen and Water: An Engineering, Economic and Environmental Analysis

Simon¹,

Daily²,

White³

2010

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1 AcknowledgementsWe would like to thank Vince Tidwell and his team at Sandia National Laboratories for allowing us to be among the first external users of their Decision Support Model for Integrated Water-Energy Planning. Supporting pre-production software is no easy task, yet their model proved to be a crucial component of the regional water stress analysis. We would also like to thank Erik Schuster and his team at the National Energy Technology Laboratory for compiling much of the data that went into the Sandia model. Darlene Steward and Mark Ruth of the National Renewable Energy Laboratory have been important partners in tying this analysis to the existing frameworks of H2A and the MSM. Executive SummaryWater is a key feedstock to the hydrogen production process. Water is a process input (some, if not all hydrogen will come from the H 2 in H 2 O), and at least as importantly, water is used to cool the process equipment that will make hydrogen. Water is also an input to other lifecycle steps, particularly the generation of electricity.Water is abundant. Even in areas expected to achieve high levels of hydrogen vehicle market penetration, water use for hydrogen production is unlikely to be more than 1.5% of the local freshwater supply. Other uses of water such as agriculture and power production make hydrogen's anticipated use appear trivial.Water is inexpensive. Under reasonable economic assumptions, the cost of purchasing water, water treatment (including capital costs) and disposing of wastewater is expected to comprise less than $0.09 per kg hydrogen.However, it is still important for stakeholders in the hydrogen industry to understand the engineering, economic, environmental and policy issues related to water. In particular, this report addresses two key areas: Technology OptionsThere are two widely available options for water treatment: reverse osmosis and ion exchange. Similarly, there are two classes of process cooling: cooling towers and dry cooling. In general, these technologies face tradeoffs in cost, power consumption, total water input ("withdrawal") and wastewater generation ("discharge"). This report identifies the water purchase and discharge costs at which it makes sense to transition from a low-cost, high-withdrawal technology to a high-cost, lowwithdrawal technology. Water ResourcesIn order to anticipate the need for different water strategies, the stress on water resources and state of water prices in localities of interest to the hydrogen industry were analyzed. It was found that water purchase and disposal prices are not high enough anywhere to be a factor in early-stage hydrogen deployment, but that many locations exhibit risk factors (higher-than-average prices, low industrial water use, or high water stress) that warrant special attention.3

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“…The hydrological model used in the study was adapted from modules embedded in the broader decision-support framework for integrated energy-water planning and management depicted in Figure A-1 (Tidwell et al 2009). The formal name of this Sandia product is the Energy Water Model.…”

Section: Appendix a Hydrological Modelingmentioning

confidence: 99%

Assessing the near-term risk of climate uncertainty : interdependencies among the U.S. states.

Reinert¹,

Stamber²,

Robinson³

et al. 2010

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Policy makers will most likely need to make decisions about climate policy before climate scientists have resolved all relevant uncertainties about the impacts of climate change. This study demonstrates a risk-assessment methodology for evaluating uncertain future climatic conditions. We estimate the impacts of climate change on U.S. state-and national-level economic activity from 2010 to 2050. To understand the implications of uncertainty on risk and to provide a near-term rationale for policy interventions to mitigate the course of climate change, we focus on precipitation, one of the most uncertain aspects of future climate change. We use results of the climate-model ensemble from the Intergovernmental Panel on Climate Change's (IPCC) Fourth Assessment Report 4 (AR4) as a proxy for representing climate uncertainty over the next 40 years, map the simulated weather from the climate models hydrologically to the county level to determine the physical consequences on economic activity at the state level, and perform a detailed 70-industry analysis of economic impacts among the interacting lower-48 states. We determine the industry-level contribution to the gross domestic product and employment impacts at the state level, as well as interstate population migration, effects on personal income, and consequences for the U.S. trade balance. We show that the mean or average risk of damage to the U.S. economy from climate change, at the national level, is on the order of $1 trillion over the next 40 years, with losses in employment equivalent to nearly 7 million full-time jobs.4

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Decision support for integrated water-energy planning.

Cited by 22 publications

References 5 publications

Energy-water analysis of the 10-year WECC transmission planning study cases.

Energy-water analysis of the 10-year WECC transmission planning study cases.

Hydrogen and Water: An Engineering, Economic and Environmental Analysis

Assessing the near-term risk of climate uncertainty : interdependencies among the U.S. states.

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