Zurich University of Applied Sciences (ZHAW)
Leading Tasks
T1.5: Align nutritional and environmental footprint data for easier direct comparison of environmental and dietary profile of foods
Lead: ZHAW (11PM).
Effort by contributors: ETHZ (9PM), ULEI (3PM). Timing: M6-36. This task includes the following elements: (1) Provide information about nutritional contents of food products and food categories based on existing literature and databases; (2) Literature review to include relevant nutritional aspects (e.g. protein quality, bio-availability) with a focus on new plant-based protein sources and novel foods; (3) Literature research on existing data on the influence of different processing methods on the nutritional composition (for main crops); (4) Compile nutrient requirements of population; (5) Integrate assessment approaches or methodologies to assess how well a menu meets nutritional requirements; (6) Data preparation, harmonisation and conversion of the results into a previously defined and compatible data format for the subsequent work packages. Contributes to:
D1.2 (M24), D1.3 (M32).
T1.6: Including Food Waste and Processing Into Food LCA Results
Lead: ZHAW (11PM).
Effort by contributors: ETHZ (9PM). Timing: M10-46. This task includes the following elements: (1) Updated review of existing literature and databases with information about the amounts of FLW; (2) at each level of the food value chain (FVC) including the stages of agricultural production (including harvest and postharvest losses), wholesale (including transport, storage, and postharvest losses), processing (including overproduction and edible side streams), the food service industry as well as households in Europe (with a focus on Switzerland) and in developing countries and in different food categories; (3) A compilation of aspects to consider in order to make data comparable; (4) Implications of different definitions used in various contexts (e.g. edible/potentially edible/inedible, avoidable/possibly avoidable/unavoidable, food losses/waste, including/excluding use as animal feed etc.); (5) Methodologies how to consider FLW in LCA analysis depending on the scope of the assessment. Contributes to:
D1.5 (M42), D1.1 (M21).
T1.7: Technical implementation and data merging for a PEF-compliant database
Lead: ZHAW (11PM).
Effort by contributors: ETHZ (9PM), INTEC (2PM), NILU (1PM). Timing: M30-42. Datasets generated in this Work package into an LCA database that meets the standards of PEF. The task will link and further develop models and datasets to enhance data sharing and validation, increase visibility and relevance, and improve data utilisation. The results of WP1 form the basis to consistently include environmental impacts of processes and FLW at the various stages of the FVC and their impact reduction potential as well as nutritional aspects in the methodologies developed in WP2, into EU-wide modelling in WP3, case studies in WP4, stakeholder involvement in WP5, and management in WP6. Contributes to:
D1.5 (M42).
Responsible For Deliverables
Deliverable D1.5 — PEF-compliant LCI data of food
| Deliverable Number | D1.5 | Lead Beneficiary | ZHAW |
| Deliverable Name | PEF-compliant LCI data of food | ||
| Type | DATA | Dissemination Level | PU |
| Due Date (month) | M42 | Work Package No | 1 |
| Description | |||
| Not available |
Contributions in WP2
Contributing 4PM to:
T2.1: Generate a centralised repository of food-linked data
Lead: ETHZ (5PM).
Effort by contributors: UOY (5PM), ZHAW (4PM), SEI (2PM), COOL (2PM). Timing: M3-12. ata on the environmental impacts of food is scattered. Here, we will gather and interrogate existing food-related datasets (LCA, IO-based/footprinting, production and processing, nutritional, supply-chain management-linked, geospatial/remote-sensing and trade resources) encompassing information and datasets linked to production, processing, consumption and end-of-life/waste stages of the food system. The purpose of this review is to support standardization efforts and help build a roadmap for how to move from the current state of the art to robust PEF standards. The purpose of the review is not distil knowledge, i.e. it is not to get a robust understanding of food system impacts. The purpose is simply to support standardization efforts. We will centrally and systematically record key components of the data. We will document the scope of information being provided (e.g. supply chain stage covered, indicators specified/available, commodity coverage, specificity/resolution, time-series etc), the management of the data by data-owners (e.g. ownership, periodicity of uptake, project resourcing and marketing etc), examples of use-cases and applications (e.g. impactful case studies, known utilisation in policy or private-sector decision making) and availability to end-users (openness, licensing, availability of meta-data and methodology materials, investment in training materials etc). Contributes to:
D2.1 (M21).
Contributing 3PM to:
T2.3: Improve the technological readiness of key datasets
Lead: UOY (5PM).
Effort by contributors: NILU (5PM), CNRS (3PM), DDS (3PM), ZHAW (3PM), ULEI (2PM), SEI (2PM), ETHZ (2PM), COOL (2PM). Timing: M22-34. To enhance uptake, we will develop recommendations for each tool/data provider based on the assessment of weaknesses and best practice examples (T2.2). We will actively disseminate findings to data providers, who will be invited to attend one-to-one discussion meetings with the project team. We will also host two workshops across multiple partners (covering the same topic, but split to allow attendance from more parties and deeper interaction) to encourage further sharing of best practice and ‘challenges’ in responding to recommendations. An academic publication will also be produced to share outcomes openly. For tools provided by project partners we will, via project funding, implement selected recommendations. This task contributes to D2.2 (M24), D2.3 (M32) and D2.4 (M34). Milestone: M2.2 (M28) Stakeholder workshops (M28); M2.3 (M28): Assessment of which internal tool/data provider recommendations will be implemented (M28). Contributes to:
D2.2 (M24), D2.3 (M32), D2.4 (M34).
This task is linked to the following milestones: MS2.2 (M28), MS2.3 (M28).
Contributing 3PM to:
T2.4: Building statistical robustness to improve PEF quality
Lead: DDS (28PM).
Effort by contributors: ZHAW (3PM), ETHZ (2PM), COOL (2PM). Timing: M6-36. So far almost no work exists estimating the reliability or confidence parameters of any food footprint data. The motivation of this task is to better understand statistical robustness within and across LCA databases, and thus to establish error budgets and prioritise improvements. Building on T2.1 and T2.2, and outputs from WP1, we will harmonise project data and other open data sources using a common glossary, and enter the resulting outputs into a high-performance data storage. We will also deduce logical relationships between inputs and outputs using current inventory datasets, supplemented with consortium expertise and AI. This logic will be used to create product system models which can be linked into flexible supply chains, and used to calculate the synthesised best-available knowledge of agricultural and other LCA data. The models and quantitative results produced can support decision making directly, either by providing direct or user-specific LCA results through an open web research portal, or through an interface to the AICA system (T2.5). Contributes to:
D2.5 (M36).
Contributions in WP3
Contributing 3PM to:
T3.6: Tallying the environmental gains of novel food solutions at scale
Lead: ULEI (15PM).
Effort by contributors: UOXF (5PM), ETHZ (4PM), ZHAW (3PM), NILU (2PM), UOY (1PM). Timing: M35-48. EU-wide assessment of promising food system solutions identified in WP4 case studies (e.g. seaweed, in vitro meat, and spices), using standardised product and sector-specific effect sizes (from Task 4.8), will be undertaken to assess their impact mitigation potential for different European country when adopted at scale. Consumer and producer data (Task 3.3, 3.4, and 4.7), alongside industry-level insights on novel food solutions (Task 5.5), will inform adoption rates for consumer- and farmer-specific solutions proposed. Contributes to:
D3.3 (M44).
Contributions in WP4
Contributing 2PM to:
T4.5: Quantify the opportunity for gains from novel food solutions
Lead: NILUAB (11PM).
Effort by contributors: NILU (4PM), UOY (2PM), ULAT (2PM), BUW (2PM), ZHAW (2PM), ULEI (1PM), UOXF (1PM), HKR (1PM), TETRA (1PM). Timing: M1-49. This task will make concluding quantified assessment of credible pathways to reduce pollution from food production based on the case studies. Information of the food system interventions, their impacts and reduction potential across multiple environmental impacts will be described based on the result of task 4.2-3. The barriers and enabling factors will be identified and related to interventions which weaken and strengthen the impact reduction potential of good practices. The result will be used as an input to Task 3.6 where the consumption data for each European country will be added in order to expand the system result from individual food items to country level. Contributes to:
D4.5 (M44).
Contributions in WP5
Contributing 1PM to:
T5.1: Stakeholder Advisory Group and EU engagement
Lead: GLOBE (16PM).
Effort by contributors: ZHAW (1PM). Timing: M4-48. The creation of a multi- actor Advisory Group will ensure there is a dialogue between industry, regulators and scientists throughout WP1-6 during the 4-year project. Members’ unique expert perspectives will enable them to share feedback on deliverables from other WPs, and share ideas, suggestions and improvements that result in the creation of more useful and accessible solutions. The global Advisory Group will incorporate a wide range of food industry actors (suppliers, retailers, farmers), consumer representatives, regulators (government, policy makers, advisors etc.) and scientists (e.g. academic leads from other WPs). Throughout the 4-year project we will ensure at least one in-person workshop takes place each year between the Advisory Group and broader interested parties e.g., policymakers, EU representatives etc. The 1.5 day workshops will be used to bring business, research and legislative stakeholders together to ensure interests are aligned and solutions are effective. The workshops will be used for a variety of things e.g. to share expertise, explore policy requirements, feed into solution design, trial solutions etc. Insights will feed into other WPs throughout the years. These regular meetings will build and strengthen the network across the food system, with the aim of encouraging more uptake and promotion of the proposed end solutions. Additionally, we will create a Governance Committee. Setting up a Governance Committee will ensure successful and efficient running of WP5 as the group will organise, facilitate and execute tasks within WP5, ensure timelines and deliverables are met, and share sector/topic expertise where required. The Governance Committee will consist of 3-4 members, with potential partners including Cool Farm and The Nature Conservancy. The extensive, multi-actor networks of each Governance Committee member will also be utilised throughout the project.
This task is linked to the following milestones: MS5.1 (M8).
Contributions in WP6
Contributing 1PM to:
T6.1: Management of financial legal and administrative requirements
Lead: NILU (9PM).
Effort by contributors: NILUAB (2PM), UOY (2PM), ETHZ (1PM), GLOBE (1PM), SEI (1PM), UOXF (1PM), ARBO (1PM), COOL (1PM), CLIMCO (1PM), ULAT (1PM), BUW (1PM), DDS (1PM), ZHAW (1PM), ULEI (0.5PM), INTEC (0.5PM). Timing: M1-49. In this task we will manage and coordinate all financial and administrative activities in the project, including monitoring and maintaining the overall adherence to the financial budgets. T1.1 will deliver a project toolbox to ensure a smooth communication and cooperation between the project partners. This task will forward the EU contribution according to the work plan, the Consortium Agreement and the decisions made by the consortium. The administrative and financial monitoring of the project will be done by the project coordinator in cooperation with the Project Management Board (coordinator and WP leaders).
Contributing 1PM to:
T6.3: Outreach communication dissemination and clustering
Lead: NILU (9PM).
Effort by contributors: UOY (3PM), GLOBE (2PM), ETHZ (1PM), UOXF (1PM), ARBO (1PM), ZHAW (1PM), ULEI (0.5PM), INTEC (0.5PM). Timing: M1-49. In this task, we will manage activities related to outreach, communication and dissemination. We will develop and regularly update a communication and dissemination plan that will identify effective communication and dissemination activities and guide partners in WP1-5 to implement these. We will develop a visual identity and project website, and manage and update the various communication channels (website and social media accounts). We will create a log of events to guide partners in communication activities. We will support WP5 with the stakeholder workshops. Further, the task will stimulate knowledge sharing activities such as training and webinars across the consortium. Lastly, the task will actively seek to link with other cluster EU HE activities.
This task is linked to the following milestones: MS6.1 (M4).
Contributing 1PM to:
T6.4: Exploitation strategies and business cases
Lead: NILU (9PM).
Effort by contributors: UOY (2PM), ULEI (1PM), SEI (1PM), UOXF (1PM), ZHAW (1PM), INTEC (0.5PM). Timing: M1-49. GREENGROCER has a distinct set of exploitable outcomes. In this task, we will develop the initial exploitation routes for data products, tools, methodologies, and standardisation activities. Starting out from key exploitation routes, we will develop business model canvases for each of the GREENGROCER outcomes, starting by identifying target markets (e.g. science to science, science to business, B2B or B2C), value propositions, and potential value capture models (e.g. freemium, SaaS -models). For data products developed under an open source licence, this task has clear links with the Data management and open science practices (T6.5) and communication and dissemination strategies. Contributes to:
D6.2 (M9), D6.7 (M46).