Project description
New techniques to monitor ship emissions at sea
Ships produce high emissions of nitrogen, sulphur oxides and particulate matter. Most of these occur close to shore, significantly degrading air-quality in coastal areas. In a global regulatory effort to reduce SOx emissions, a maximum 0.5 % fuel sulphur content is enforced. In this context, it is important to monitor emissions of vessels during their normal operation. The EU-funded SCIPPER project deploys next-generation measurement techniques to monitor emissions. It conducts real-world experimental campaigns with vessels in EU ports. The project aims to provide evidence on the performance and capacity of different techniques for shipping emissions monitoring and regulation enforcement. It also works to assess the impacts of shipping emissions on air quality under different regulatory enforcement scenarios.
Objective
SCIPPER will implement available and innovative techniques for monitoring the compliance of individual ships to existing sulphur and future NOx and PM air pollution regulations. Using five field measurement campaigns, one mirror campaign in Hong Kong and long-term monitoring data SCIPPER will assess the suitability, operational capacity, and cost-effectiveness of various monitoring methods. The techniques identified include on-board, on-shore in situ and optical remote, airborne, and satellite systems: assessment will be demonstrated in ports (Gothenburg, Hamburg or Rotterdam and Marseille) and in the shipping lanes of the North and Baltic Seas, English Channel and Mediterranean. Where available this will be carried out in parallel to established official monitoring methodologies.
Bilateral knowledge exchange to ports in Asia, Australia and the US will be enabled through the consortium’s extensive network of contacts, thereby advancing the global impact of EU initiatives.
New innovations to be tested by SCIPPER include: on-board and airborne sensors to measure black carbon and ultrafine particles; a new ultra-sensitive ‘sniffer’ SO2 method and; the potential use of satellite observations for monitoring individual vessel NOx and SO2 emissions.
Measurements will also be used to develop relevant emission factors, required by emissions inventories and Air Quality (AQ) simulation models. AQ models will be enhanced to simulate secondary aerosol formation as the emission plume ages in the atmosphere. Using these advanced simulation tools, SCIPPER will quantify the environmental and health impacts of varying degrees of regulatory compliance for selected test cases.
The overall objective of SCIPPER is to provide authorities with: (i) fundamental technical information in developing their enforcement approaches and (ii) modelling tools and monitoring techniques in order to quantify the environmental benefits of successful enforcement.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- engineering and technology environmental engineering air pollution engineering
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences earth and related environmental sciences environmental sciences pollution
- natural sciences computer and information sciences software software applications simulation software
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
RIA - Research and Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MG-2018-2019-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
546 36 THESSALONIKI
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.