Guidance on the Technology Performance Level (TPL) Assessment Methodology

Weber, Jochem; Roberts, Jesse; Babarit, Aurélien; Costello, Ronan; Bull, D R; Neilson, Kim; Bittencourt, Claudio; Kennedy, Ben; Malins, R. J.; Dykes, Katherine

doi:10.2172/1431462

Cited by 2 publications

(2 citation statements)

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“…The characteristics and categories of each TPL level are detailed in Table 2. To assess TPL at early stages of WEC projects, guidance is given in [203].…”

Section: Wec Development Trajectoriesmentioning

confidence: 99%

A review of wave energy technology from a research and commercial perspective

Guo

Ringwood

2021

IET Renewable Power Gen

114

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Although wave energy prototypes have been proposed for more than 100 years, they have still not reached full commercialisation. The reasons for this are varied, but include the diversity of device operating principles, the variety of onshore/nearshore/offshore deployment possibilities, the diversity of the wave climate at various potential wave energy sites, and the consequent lack of convergence in technology and consensus. This distributed effort has, in turn, lead to a slow rate of progression up the learning curve, with a significant number of wave energy company liquidations and technical setbacks dampening investor confidence. Although a number of reviews on wave energy technology are already in the published literature, such a dynamic environment merits an up‐to‐date analysis and this review examines the wave energy landscape from a technological, research and commercial perspective.

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“…The characteristics and categories of each TPL level are detailed in Table 2. To assess TPL at early stages of WEC projects, guidance is given in [203].…”

Section: Wec Development Trajectoriesmentioning

confidence: 99%

A review of wave energy technology from a research and commercial perspective

Guo

Ringwood

2021

IET Renewable Power Gen

114

View full text Add to dashboard Cite

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“…The summer wave of ConsumerStyles includes a weighting variable that provides a weight for the data to match the US Current Population Survey proportions for nine factors: sex, age, household income, race/ethnicity, household size, education, census region, and metropolitan status, and whether or not the respondent had access to the Internet before joining the panel. 17 For the current study, we restricted the analysis to adults ages 55 to 64 and ages 65 and older (older adults).…”

Section: Consumerstyles Surveymentioning

confidence: 99%

Willingness to Change Medications Linked to Increased Fall Risk: A Comparison between Age Groups

Haddad

Karani

Bergen

et al. 2018

J American Geriatrics Society

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Objective: To describe and compare two age groups’ knowledge of medications linked to falls and willingness to change these medications to reduce their fall risk. Method: We analyzed data from community-dwelling adults age 55 and older (n=1,812), including 855 adults aged 55 to 64 years and 957 older adults (65 and older) who participated in the 2016 summer wave of the ConsumerStyles survey. ConsumerStyles is an annual web-based survey. The data are weighted to match the US Current Population Survey proportions on nine US Census Bureau demographic characteristics. Measurements: Survey respondents were asked about medication use, knowledge of side effects, their willingness to change their medications to reduce fall risk, communication in the previous year about fall risk with their healthcare provider, and their comfort in discussing fall risk with their healthcare provider. All data were weighted to match the 2016 population estimates. Descriptive statistics and chi-square tests (p ≤ 0.05) were used to identify differences between the two age groups. Results: About one-fifth of all respondents reported using at least one class of medication that increases fall risk. Older adults were less likely to report using medications for mood or sadness, less likely to report knowing the side effects of pain medications, and more willing to change their sleep medications compared with their younger counterparts. Among all respondents using these medication classes, less than one-third knew the potential fall-related side effects. However, most of them expressed willingness to change their medication if advised by their healthcare provider. Conclusion: Most older adults were unaware of potential fall risks associated with medications prescribed to address pain, difficulty sleeping, mood or sadness, and anxiety- or nervousness-related health issues. However, most were willing to change their medication if recommended by a healthcare provider.

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Guidance on the Technology Performance Level (TPL) Assessment Methodology

Cited by 2 publications

References 0 publications

A review of wave energy technology from a research and commercial perspective

A review of wave energy technology from a research and commercial perspective

Willingness to Change Medications Linked to Increased Fall Risk: A Comparison between Age Groups

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