Department of Planning

Work packages

The project plan consists of five work packages:

Work package 1: A crosscutting work package that supports the other work packages, providing:

  • 1.1 Project management: Ensuring the consistency of the applied data and models across all tasks, ensuring coordination and cooperation between tasks, monitoring progress towards milestones and deliverables, and addressing contingencies to optimize the use of project resources.
  • 1.2 Data and model architecture and management: The overall data management architecture, significantly revising the architecture of the former EXIOBASE 3 hybrid database, to improve the flexibility of handling and storing of time series of raw data in different classifications and levels of aggregation, while improving the documentation trail of data provenance and calculations, and maintaining open collaboration options on data collection and calculation procedures, through a virtual laboratory approach.
  • 1.3 International cooperation and workshops: Cooperation with other parallel projects at national and international level, maximising the advantages from coordinating data collection efforts, data interchange, and model consistency and performance.

Work package 2: A work package on updating to the newest data, while developing and testing automated data treatment. This is divided in the following tasks:

  • 2.1 National supply‐use data: Ensuring access to the most recent national supply‐use data at the highest level of detail on a continuous basis, through the building, education and maintenance of a network of national experts with interest in global monetary and physical models, and through cooperation with the relevant UN, OECD, and Eurostat working groups.
  • 2.2 Global trade and product markets: Ensuring continuous provision and balancing of physical and monetary trade data. Assessment and establishment of supply mixes to the different global, regional, and local product markets.
  • 2.3 Physical layers of supply and use: Ensuring continuous access to global data sources on physical supply and use of resources, products, and wastes, as well as temporal stock changes. Physical layers account for the same products as in the monetary supply use tables, but in units of, e.g., mass for tangible products, energy for electricity and heat, person‐km and ton‐km for transport services, hours for some services, etc. The balancing of each unit layer providesNarrative proposal Page 4 of 14 additional information and validation compared to supply‐use tables that are based on monetary information only.
  • 2.4 Emission accounts: Ensuring continuous access to global data sources on climate relevant emissions and emission factors matching the highest activity detail of the physical and monetary supply‐use data.

Work package 3: A work package focusing on model improvements, more specifically:

  • 3.1 Calculation engine: Providing an efficient calculation engine that integrates the data and models developed in the specific tasks, allowing integration and simultaneous reconciliation of physical and monetary data from different sources with different constraints and levels of aggregation and reliability.
  • 3.2 User‐interaction and ‐interfaces: Ensuring that project outputs and user interfaces are easily accessible to the final users (individuals, companies, policy makers) and that their needs are taken into account when defining, measuring, and adjusting project outputs.
  • 3.3 Modelling household behaviour and consumption patterns: Integrating models of household behaviour and consumption patterns.
  • 3.4 Modelling of climate relevant ecosystem flows and feedbacks: Integrating models of flows and stocks of carbon and other climate relevant substances in terrestrial and aquatic ecosystems as well as feedbacks from ecosystems to the economy.

Work package 4: A work package addressing the handling of uncertainty throughout the model:

  • 4.1 Uncertainty specification for raw data: Specifying and implementing procedures for collection, estimation, and documentation of uncertainty on raw data.
  • 4.2 Uncertainty propagation: Providing procedures and software implementation of uncertainty propagation throughout all model calculations, considering consistent handling of covariance and implementation of Taylor series expansion.
  • 4.3 Uncertainty presentation: Specifying and implementing procedures, formats and software solutions for presentation and contribution analyses of uncertainty on results for use in decision support and in guiding efforts for data collection and model improvements.

Work package 5: A work package enabling higher geographical resolution and number of products. This is divided in the following tasks:

  • 5.1 Parameterised production functions: Developing and implementing the capacity for consistent parameterisation of disaggregated production functions across physical and monetary property layers, and applying this to arrive at a level of detail where at least the 1000 most important activities and product groups are specified.
  • 5.2 Data collection for disaggregated production functions: Collection of raw data for parameterisation and disaggregation of production functions, implementing procedures to ensure data supply for continuous updating, and considering and testing the options for increased automation such data harvesting procedures.
  • 5.3 Higher geographical resolution: Specifying and implementing geographical disaggregation procedures based on survey data, location coefficients, and balancing procedures, and applying these procedures to the most relevant countries and regions affected by Danish imports and exports.