Hydropower development potential at non-powered dams: Data needs and research gaps

Hansen, Carly; Musa, Mirko; Sasthav, Colin; DeNeale, Scott

doi:10.1016/j.rser.2021.111058

Cited by 17 publications

(21 citation statements)

References 45 publications

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“…The reported NPD development potential corresponds to approximately 15% of the current total hydropower capacity. Other assessments have explored NPD development potential by using a variety of methods and levels of detail (Hansen et al 2021).…”

Section: Research Contextmentioning

confidence: 99%

“…An analysis of several characteristics of dams in the NID reveals that some basic data are missing for large portions of the dam population. For example, normal storage capacity is only available for 91% of NPDs, and discharge at the dam is only available for 39% of NPDs (Hansen et al 2021). Examples of characteristics that might require additional research to generate the data are…”

Section: Data Gapsmentioning

confidence: 99%

“…A simple survey of recent NPD development projects showed a great deal of variability in conditions and characteristics (Hansen et al 2021). Further research is needed to identify which conditions or characteristics (i.e., design, operational, economic, environmental, social) are most influential to the success of an NPD hydropower development project or evaluation of its potential impacts.…”

Section: Research Opportunitiesmentioning

confidence: 99%

“…Table 2 catalogs several characteristics for which improved data quality and access would be highly beneficial to stakeholders. A more thorough discussion of data needs with a focus on supporting hydropower development at NPDs can be found in "Hydropower Development Potential at Non-Powered Dams: Data Needs and Research Gaps"(Hansen et al 2021). …”

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confidence: 99%

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Non-Powered Dam Custom Analysis and Taxonomy (NPDamCAT) Framework

Hansen

Sasthav

Musa

et al. 2022

Self Cite

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Characteristic: a feature or quality used to identify or describe something.Classify: to divide things into groups according to a defined characteristic.Class or category: a group into which something is divided according to a defined characteristic.Clustering: the process of grouping things based on similar characteristics, typically via statistical analysis (e.g., k-means clustering).Dam: an artificial barrier that has the ability to impound water, wastewater, or any liquid-borne material, for the purpose of storage or control (FEMA 2004b). Greenfield development: new hydropower developments along previously undeveloped waterways (DOE 2016).Hydropower or hydroelectric power: electricity generated by converting the potential energy of water into mechanical energy.Non-powered dam: dams that do not have any electricity generation equipment installed (DOE 2021) or were previously equipped to generate power (mechanical or electrical), but are no longer operational. Taxonomy: the science or technique of classification.Value: numerical or categorical information. For example, the characteristic of age for a particular dam has a numerical value, measured in years while the characteristic of federal regulatory authority is categorical and have a value of the name of a federal agency.Variable: the quantitative or qualitative measure used to describe a characteristic. For example, the characteristic of size could be described by several variables, such as height, length, surface area, and volume.

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Section: Research Contextmentioning

confidence: 99%

Section: Data Gapsmentioning

confidence: 99%

Section: Research Opportunitiesmentioning

confidence: 99%

mentioning

confidence: 99%

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Non-Powered Dam Custom Analysis and Taxonomy (NPDamCAT) Framework

Hansen

Sasthav

Musa

et al. 2022

Self Cite

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“…SHPs using technologies that do not need a barrier (e.g., hydrokinetic turbines, Kirke 2019), or SH turbines that can be installed in existing infrastructures and in existing barriers (Hansen et al 2021) may reduce impacts substantially. Examples of plants exploiting existing infrastructures include water wheels in old mills (Quaranta and Revelli 2018), turbines in pressurized water distribution networks (WDNs) and in wastewater treatment plants (WWTPs) (Mitrovic et al 2021), and have installed capacity typically below 100 kW (micro hydropower).…”

Section: Introductionmentioning

confidence: 99%

Is There a Residual and Hidden Potential for Small and Micro Hydropower in Europe? A Screening-Level Regional Assessment

Quaranta

Bódis²,

Kasiulis

et al. 2022

Water Resour Manage

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Small hydropower plants (installed power below 10 MW) are generally considered less impacting than larger plants, and this has stimulated their rapid spread, with a developing potential that is not exhausted yet. However, since they can cause environmental impacts, especially in case of cascade installations, there is the need to operate them in a more sustainable way, e.g. considering ecosystem needs and by developing low-impacting technologies. In this paper, an assessment was conducted to estimate how the environmental flow and the plant spatial density affect the small hydropower potential (considering run-of-river schemes, diversion type, DROR) in the European Union. The potential of DROR is 79 TWh/y under the strictest environmental constraints considered, and 1,710 TWh/y under the laxest constraints. The potential of low-impacting micro technologies (< 100 kW) was also assessed, showing that the economic potential of hydrokinetic turbines in rivers is 1.2 TWh/y, that of water wheels in old mills is 1.6 TWh/y, and the hydropower potential of water and wastewater networks is 3.1 TWh/y, at an average investment cost of 5,000 €/kW.

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Reimagining hydropower in the United States

Haemmerli,

Gerlak,

Swanson

2024

WIREs Water

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In this Perspective, we review the clashing narratives around the role of hydropower in the United States' (US) energy future. In doing so, we reveal how hydropower is regarded as a keystone for the renewable energy transition but also viewed as a harmful technology with significant negative environmental and social impacts. These narratives can be seen in the contrasting future renewable energy visions of US government agencies, the hydropower industry, NGOs, and Tribal governments. We review critical lessons learned from past dam‐ and hydropower‐related challenges to reimagine a just energy future for the US that bridges diverse sectors, jurisdictions, and values. We conclude by highlighting some key paths forward that might result in more resilient and adaptive water and energy systems as the country strives to decarbonize.This article is categorized under: Human Water > Human Water Human Water > Water Governance Science of Water > Water and Environmental Change Engineering Water > Planning Water

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Hydropower development potential at non-powered dams: Data needs and research gaps

Cited by 17 publications

References 45 publications

Non-Powered Dam Custom Analysis and Taxonomy (NPDamCAT) Framework

Non-Powered Dam Custom Analysis and Taxonomy (NPDamCAT) Framework

Is There a Residual and Hidden Potential for Small and Micro Hydropower in Europe? A Screening-Level Regional Assessment

Reimagining hydropower in the United States

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