Technology forecasting and patent strategy of hydrogen energy and fuel cell technologies

Chen, Yu-Heng; Chen, Chia-Yon; Lee, Shun-Chung

doi:10.1016/j.ijhydene.2011.03.063

Cited by 151 publications

(66 citation statements)

References 30 publications

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“…The process then involves investigating specific internal factors (strengths and weaknesses) and external factors (opportunities and threats) that influence future national technology development. From a subjective perspective, this process predicts and traces the trajectory of technological evolution, the status of technology development and future trends, and is a reference for those who are developing technology policy [13,14].…”

Section: Decision Support Methods For Technology Policymentioning

confidence: 99%

“…For example, researchers may use the Delphi, in-depth interview and scenario analysis methods to collect expert opinions and aggregate the views of technology development trends by interviewees. This type of analysis will also assist in predicting which technology domains have the potential to establish the future technology development direction of a nation [13,14]. Many researchers also perform bibliometric analysis to identify current research directions and popular…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Patent Analysis for the Formulation of Technology Policy: Evidence from 4G LTE Industry

Chiang

Liaw²,

Wu³

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Section: Decision Support Methods For Technology Policymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Patent Analysis for the Formulation of Technology Policy: Evidence from 4G LTE Industry

Chiang

Liaw²,

Wu³

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…Most approaches to technology forecasting aim at supporting human experts with comprehensive models representing technical, social and political information about technologies. In recent years, we have also witnessed the emergence of (semi-)automatic methods for identifying and assessing promising technologies [22,23]. Since TTF is a fully automatic method, we will focus on this second category.…”

Section: Related Workmentioning

confidence: 99%

“…Unfortunately, standard technology diffusion and forecasting models [19][20][21][22][23][24][25] cannot tackle this issue, since they are designed to assess the general potential of technologies associated with a good number of documents. Conversely, we want to predict that a technology that has no or very few initial publications in topic T will be adopted by researchers working on T.…”

Section: Introductionmentioning

confidence: 99%

Forecasting the Spreading of Technologies in Research Communities

Osborne

Mannocci

Motta

2017

Proceedings of the Knowledge Capture Conference

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Technologies such as algorithms, applications and formats are an important part of the knowledge produced and reused in the research process. Typically, a technology is expected to originate in the context of a research area and then spread and contribute to several other fields. For example, Semantic Web technologies have been successfully adopted by a variety of fields, e.g., Information Retrieval, Human Computer Interaction, Biology, and many others. Unfortunately, the spreading of technologies across research areas may be a slow and inefficient process, since it is easy for researchers to be unaware of potentially relevant solutions produced by other research communities. In this paper, we hypothesise that it is possible to learn typical technology propagation patterns from historical data and to exploit this knowledge i) to anticipate where a technology may be adopted next and ii) to alert relevant stakeholders about emerging and relevant technologies in other fields. To do so, we propose the Technology-Topic Framework, a novel approach which uses a semantically enhanced technology-topic model to forecast the propagation of technologies to research areas. A formal evaluation of the approach on a set of technologies in the Semantic Web and Artificial Intelligence areas has produced excellent results, confirming the validity of our solution.

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“…It is found that when the hydrogen is produced from renewable energy sources, there are no harmful emissions. Hydrogen can be used in almost all applications where fossil fuels are used today, and can be converted into useful forms of energy more efficiently than fossil fuels [2].…”

Section: Introductionmentioning

confidence: 99%

Design and Simulation of A Single Current Sensor Maximum Power Point Tracker for Solar Hydrogen System

Zhang

Carr²,

Thanapalan³

et al. 2024

RE&PQJ

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Abstract. Renewable energy sources have attracted a lot of research interest in the past decade. Among these, solar energy is regarded as one of the promising energy sources and has been deployed worldwide with the installed capacity continually increasing. Solar-hydrogen systems have been under research for more than two decades. In such system, maximum power point tracking (MPPT) plays an important role to deliver maximum power from solar panels to the electrolyser. In this paper, two simple but effective MPPT methods are developed and evaluated. Differed from most of the existing methods, these methods are only reliant on a single current sensor input to locate the maximum power point of the solar panel.

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Technology forecasting and patent strategy of hydrogen energy and fuel cell technologies

Cited by 151 publications

References 30 publications

Patent Analysis for the Formulation of Technology Policy: Evidence from 4G LTE Industry

Patent Analysis for the Formulation of Technology Policy: Evidence from 4G LTE Industry

Forecasting the Spreading of Technologies in Research Communities

Design and Simulation of A Single Current Sensor Maximum Power Point Tracker for Solar Hydrogen System

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