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Research

MeSSO undertakes research in a number of different applications within the general domain of mechanical and energy systems simulation. A selection on current projects are summarised below. 

 

  

Current Projects

Next generation milk production forecast models

This project focuses on developing next generation milk production forecasts models based on self-learning and auto-regressive algorithms that can adapt to unforeseen circumstances. The output from these models can be utilised by dairy farmers for energy, economic and labour management and optimisation.

Electricity and water optimisation in milk production

The aim of this research is to economically optimise the mixture of energy and water consumed in on on-farm milk production. Even a modest reduction in cost per litre of milk produced would have a dramatic effect on the competitiveness and success of the Irish dairy industry.

IEA EBC Annex 62 - Ventilative Cooling

MeSSO Group are national participant and co-Leader of subtask C with Hunan University for IEA Annex 62 on ventilative cooling . The results from the Annex will facilitate better possibilities for prediction and estimation of heat removal and overheating risk in low energy buildings NBERT / zero2020 is a key case study for the annex.for more information see : http://www.venticool.eu

National Building Retrofit  - Stock Aggregation Tools / Performance Data Portal

MeSSO are responsible for the operation of a National Low Energy Retrofit testbed at CIT. The output from this ongoing project will be a weather and building energy systems performance database for use by the wider research communities. The long term aim is to provide an open source statistical and data analysis portal for the zero2020 building that can be used for building energy model validation.  NBERT

Ventilation Airflow performance in Cleanrooms 

This project is part funded by PM Group and involves the study of improved modelling techniques for predicting the multi-variate relationship between suspended particulate levels in manufacturing grade C cleanrooms and operator gowning regimes, air flow rates, diffuser locations amongst other criteria influencing correct selection of design air flow rates .

Control and optimisation of smart grid connect buildings

This body of research focuses on the integration of renewable energy sources with a smart building. The objective of this research will be to develop a control and optimisation strategy for a working low energy consumption smart building with integrated renewable energy supply on a smart grid.

Vertical axis wind turbine design

Traditional wind turbines are not a favourable design for offshore, floating applications. The aims of this research focus on the aerodynamic optimisation of vertical axis wind turbine performance using numerical modelling coupled with experimental validation for multi MW turbine design.

Oscillating water column optimisation

This project employs CFD as a cost and time effective design tool for optimising offshore, floating wave energy converters. Numerical wave tank discretization error is minimized to acceptable levels and following model verification, a floating structure is introduced. The response of both the structure and water column can be tuned to ensure optimum performance for specific sea states.

Collaborators

MeSSO has collaborated on academic and commercial projects with the following partners:

Academic

  • Teagasc Moorepark
  • Brunel University London
  • National Maritime College of Ireland Halpin Centre
  • University College Dublin
  • Wagening University
  • ICAM University
  • University La Rochelle
  • Waterford Institute of Technology
  • International Energy Agency
  • Met Éireann

Industry

  • Dairygold
  • Kingspan
  • Glanbia
  • ARUP
  • Renewable Energy Systems
  • PM Group
  • Spinnaker Energy
  • Dairymaster
  • Euro Access
  • Intel
  • ACE Controls
  • Cosy Homes Stores

Opportunities

MeSSO has funded research positions available on a rolling basis. If you are interested in working or colloborating with the group please contact us MeSSO.

Further Information