Dataset Information

Accelerating shipping decarbonisation: A case study on UK shore power.

ABSTRACT: Shore power connects ships to land-side electricity grids, cutting fuel use in port to reduce carbon dioxide emissions and air pollution. It also enables the transition towards greater use of electric vessels. Despite these benefits, the global deployment of shore power is slow, particularly in countries such as the UK. This paper presents findings from a qualitative case study using two theoretical frameworks from the transitions literature to assess barriers to UK shore power deployment. The findings identify a need for capital funding and taxation policies, and illustrate that shipping's low status in the political hierarchy impedes implementation. Measures to strengthen interactions between shipping actors would help increase the political pressure required to implement policies supporting shore power and shipping more broadly. These changes in the governance and organisation of shipping are essential to deliver the near-term emission cuts necessary for aligning UK shipping emissions with the Paris Agreement.

SUBMITTER: Bullock S

PROVIDER: S-EPMC10395031 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Accelerating shipping decarbonisation: A case study on UK shore power.

Bullock Simon S Hoolohan Claire C Larkin Alice A

Heliyon 20230629 7

Shore power connects ships to land-side electricity grids, cutting fuel use in port to reduce carbon dioxide emissions and air pollution. It also enables the transition towards greater use of electric vessels. Despite these benefits, the global deployment of shore power is slow, particularly in countries such as the UK. This paper presents findings from a qualitative case study using two theoretical frameworks from the transitions literature to assess barriers to UK shore power deployment. The f ...[more]

PMID: 37539144

Similar Datasets

Project description:Translational medicine is becoming increasingly dependent upon data generated from health care, clinical research, and molecular investigations. This increasing rate of production and diversity in data has brought about several challenges, including the need to integrate fragmented databases, enable secondary use of patient clinical data from health care in clinical research, and to create information systems that clinicians and biomedical researchers can readily use. Our case study effectively integrates requirements from the clinical and biomedical researcher perspectives in a translational medicine setting. Our three principal achievements are (a) a design of a user-friendly web-based system for management and integration of clinical and molecular databases, while adhering to proper de-identification and security measures; (b) providing a real-world test of the system functionalities using clinical cohorts; and (c) system integration with a clinical decision support system to demonstrate system interoperability. We engaged two active clinical cohorts, 747 psoriasis patients and 2001 rheumatoid arthritis patients, to demonstrate efficient query possibilities across the data sources, enable cohort stratification, extract variation in antibody patterns, study biomarker predictors of treatment response in RA patients, and to explore metabolic profiles of psoriasis patients. Finally, we demonstrated system interoperability by enabling integration with an established clinical decision support system in health care. To assure the usefulness and usability of the system, we followed two approaches. First, we created a graphical user interface supporting all user interactions. Secondly we carried out a system performance evaluation study where we measured the average response time in seconds for active users, http errors, and kilobits per second received and sent. The maximum response time was found to be 0.12 seconds; no server or client errors of any kind were detected. In conclusion, the system can readily be used by clinicians and biomedical researchers in a translational medicine setting.

Dataset Information

Accelerating shipping decarbonisation: A case study on UK shore power.

Publications

Accelerating shipping decarbonisation: A case study on UK shore power.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets