Task 3

TASK 3

TASK 3

Socio-economic analysis and conclusions from gear testing

Task leader

Partners involved

Task 3 is aimed to provide a socioeconomic analysis on the cost of upgrading to less fuel intensive towed gear, assess the short-medium-long term operational savings from the new gear and assess the time needed to absorb the initial economic investment (pay-back period). To this end, Task 3 will carry out: 

  • a socio-economic analysis of the status quo of the fleet segments and the fisheries considered in the pilot studies under Task 2; 
  • an evaluation of the potential economic effects of the implementation of the technical solutions tested under Task 2. 

Task 3 is split into 4 Subtasks. Subtask 3a is aimed to collect the data to be used in the other subtasks. Subtask 3b will analyse the data collected to evaluate the socioeconomic performance of the fleet segments and the fisheries interested by the pilot studies under Task 2. Subtask 3c is aimed to produce a Cost-Benefit Analysis (CBA) for each of the case studies investigated under Task 2, while Subtask 3d will carry out bio-economic simulations for the case study in GSAs 6, 9, 10, and 11. 

Both Subtasks 3c and 3d will provide a socioeconomic assessment of the potential impact of the new gears and estimate the time needed to recoup the investment in a new more fuel-efficient fishing gear. However, the CBA in Subtask 3c will assume the implementation of the new gear for a single vessel with a negligible impact on the fleet selectivity and the biomass, while the bio-economic simulations in Subtask 3d will assume the implementation of the new gear for all vessels of a specific fleet segment with a likely impact on fleet selectivity and biomass. 

Subtasks

Subtask 3a.

Data collection for socio-economic analysis

Subtask 3a.

Data collection for socio-economic analysis
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Subtask 3b.

Analysis of the impacts of recent variations in fuel price on fisheries economic performance

Subtask 3b.

Analysis of the impacts of recent variations in fuel price on fisheries economic performance
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Subtask 3c.

Cost-Benefit Analysis on the simulated technical innovations

Subtask 3c.

Cost-Benefit Analysis on the simulated technical innovations
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Subtask 3d.

Evaluation of biological and economic impact of upgrading less fuel intensity towed gears in the short-medium-long term

Subtask 3d.

Evaluation of biological and economic impact of upgrading less fuel intensity towed gears in the short-medium-long term
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Subtask leader: Emilio Notti (CNR). 

Partners involved: CNR, ABT, CIBM, COISPA, CONISMA, FRI, HCMR, IEO-CSIC, IO-BAS, IOF, NIMRD, SZN, UTH. 

Effective rationalisation of energy consumption can only be achieved if waste factors are identified in advance. Following the procedures defined in Sala et al. (2022), energy audits will be implemented to establish baselines in the area/gear combinations specified in Table 1. DecarbonyT partners will perform energy audit surveys to: i) collect data and information in order to carry out an energy analysis of the harvesting operations; ii) process data collected and preparation of the audit reports; iii) identify areas of possible intervention. The energy audit surveys will be carried out on a sample of ten fishing vessels in each area/gear combination stratified by vessel length and engine power. Vessels monitored and evaluated in the pilot studies (Task 2) will be included.

FRAMEWORK CONTRACT – EASME/EMFF/2020/OP/0021 14 / 60 

in the samples of the ten vessels / area-gear combinations so that they will be used as a validation exercise of the Energy audit approach. 

A standard layout for the information collection will be discussed and settled during the first coordination meeting (Orientation meeting, see §Task 0. Project management and scientific coordination and Table 4). 

Collect information on innovations that are targeting drag force reduction and fishing gear modifications (e.g., alternative designs of door, trawl net, ground gear). The review will explore those suggested modifications that are suitable to the fishing fleet in terms of innovation uptake. This should include the compilation and critical review of best practices in towed fishing gear operations. 

To compile, through reviews on existing technical literature and data, on fuel consumption, information useful to determine which are the most energy efficient techniques and vessel characteristics in terms of catch per unit of primary energy. 

Where available, information should be broken down by major fishery and by different metiers and vessel sizes. This information should, where possible, indicate how energy consumption is distributed among the different operations, including steaming, searching, catching, handling, and storing on board. The result would take the form of a catalogue of fishing gear and vessel characteristics and a quantification of their performance in terms of energy efficiency. 

Subtask leader: Tommaso Russo (CONISMA). 

Partners involved: CONISMA, CIBM, CNR, FRI, HCMR, IEO-CSIC, IOF. 

This specific objective will be pursued primarily through the integrated analysis of Fisheries Dependent Information (FDI) data and Annual Economic Report (AER) on the EU Fishing Fleet. Combining the AER information with the FDI data it would be possible to estimate the fuel use intensity at gear level (STECF, 2023). Basically, spatial and temporal patterns of fishing effort and related catches and landings will be combined, at the level of individual fleet segments, with fuel consumption to carry out a top-down reconstruction of the spatial pattern of the FUI (litres of fuel per ton of landed fish) and EUI (litres of fuel per unit of effort). 

According to the exercise carried out in the Annual Economic Report 2023 (AER), fuel intensity (i.e. the quantity of fuel consumed per quantity of fish landed) and fuel efficiency (i.e. the ratio between fuel costs and revenue, expressed as a percentage) will be estimated from DCF-FDI and AER for all possible fleet segments among those identified in the proposal, based on available information. 

In parallel, an application that models the fuel consumption of individual vessels (including steaming and fishing phases) to obtain a bottom-up estimation of the fuel consumption and carbon emission at the scale of fleet segment will be developed. This bottom-up modelling approach will be implemented through the set-up and the application of a fully functional R-based procedure that, starting from: 

remote tracking device data (e.g., VMS, AIS), and; 

a set of parameters, such as those published in Sala et al. (2022) (see Figures 7 and 8) 

will return the estimated carbon footprint of each fishing vessel, according to its spatial behaviour and fishing strategy (i.e., the combination of steaming towards fishing grounds and fishing activity). A specific data call will be established and launched to Member States by DGMARE with the support of the Consortium to collect VMS data of vessels operating with the fishing gears and in the areas listed in Table 1. An alternative/integrative source of information will be represented by AIS data provided from public platforms such as Global Fishing Watch. 

This procedure will represent a tool to project the performance of fleets by gear and area in terms of carbon footprint which would be used to inform stakeholders about the potential effects of the implementation of the new gears. 

Subtask leader: Anna Nora Tassetti (CNR). 

Partners involved: CIBM, CNR, CONISMA, HCMR, IEO-CSIC, IOF. 

This Subtask aims to identify new baselines of fuel consumption from vessels employing experimental gears. Energy consumption data from individual vessels obtained in the pilot project for improved fishing gears development and testing at sea (Task 2) and energy audits implemented in Subtask 1a will be analysed to determine baselines of fuel consumption by gear/area combination (including steaming and fishing phases) to update where possible, the results described by Sala et al. (2022). 

In addition, the procedure developed in Subtask 1b will be applied using as input parameters the new baselines of fuel consumption. In this way, a new estimation of the overall carbon footprint by fleet/gear and area will be obtained. 

Finally, a comparison of the overall fuel consumption and carbon emissions, obtained from previous and new baselines, will be performed. This comparison will provide valuable information about the performance of new gears in terms of carbon emissions while informing about the effectiveness of gear modifications in the reduction of fishing fuel footprint. 

In addition, the objectives of this Subtask will be also achieved through the application of the approaches described in Subtask 1b. In this way, the baselines of fuel consumption by gear/area will be obtained using the set of parameters published in Sala et al. (2022) or, when possible, the additional values collected in the energy audits of Subtask 1a.