Environmental Research

Description

Lot 1: Assessment of Environmental Impacts Framework Contract – Research on Characteristics of Aircraft Engine Emissions Lot 2: Assessment of Environmental Impacts Framework Contract – Research on Assessing the Noise of Rotorcraft and Novel Technology Lot 3: Environmental Impact Mitigation Framework Contract – Enhanced Capability to Assess Policy Measures. The objective of the contract is mainly to improve the ICAO Annex 16 Volume II engine emissions sampling and measurement requirements for nvPM mass and number, and propose more robust practices. The work aims at: (1) analysing the relative share of aircraft fitted with engines not regulated for nvPM in operations and emissions at individual European airports; (2) proposing and testing new or novel sampling designs and techniques taking into account the state of the art; (3) measuring gaseous emissions (e.g. NOx, HC, CO, CO2), smoke emissions, nvPM mass and number emissions, nvPM particle size for both regulated and non-regulated engines. This contract aims at enhancing the European noise impact assessment capability in a dual perspective: (i) strengthening the support to EU policymakers in the development and implementation of relevant EU policies — including e.g. the performance of comprehensive environmental impact assessments in the scope of EU's current and forthcoming environmental regulations; (ii) heightening the European profile in the framework of international discussions, such as those held in ICAO's CAEP on the establishment of the future international aviation environmental standards, notably for rotorcraft noise. The objective of the contract is to update, enhance and validate the AERO-MS modelling capabilities such that they can support the assessment of costs and benefits for a wide range of future policy assessments. This includes the capability to assess diverse aviation environmental policy options based on an accurate characterisation of the aviation industry and the capability to interface with other databases and models.