In order to carry out forecasting work and medium- and long-term planning in the fields of energy transition and mitigation of greenhouse gas emissions, ANME has developed various tools to help decision-making which…

  • Monitor and evaluate energy efficiency and renewable energy programmes;
  • Set quantitative objectives related to energy efficiency policy, to the development of renewable energy and to the mitigation of greenhouse gas emissions;
  • Identify the challenges and assess the impacts of the energy transition and mitigation policies on the different elements of sustainable development;
  • Develop roadmaps for the completion of programmes and action plans in the fields of energy efficiency and renewable energies;
  • Enable access to finance from climate change and international co-operation supporting integrated energy transition and mitigation policies;

Two main planning and forecasting tools have been developed:

The Enerinfo information system and the Medpro energy forecasting template.

Since 2005, ANME has had the ‘SIM2E’ information system, which has enabled monitoring and evaluation of energy management policy and consequently of greenhouse gas mitigation, according to a top-down approach.

Seeking to optimize and improve this information system, ANME developed the ‘Enerinfo’ integrated data management system.

This system should make it possible to monitor the impact of energy transition policy, and to measure the interactions between energy transition, greenhouse gas emission mitigation, and socio-economic development.

Enerinfo should ensure the management of information flow, analysis and data processing of all programmes in the energy sector, and generate a set of energy, socio-economic and environmental indicators, according to both top-down and bottom-up approaches to analysis.

Examples of monitoring indicators include:

  • Emission reductions;
  • Energy savings;
  • Investments made;
  • Aid received;
  • Public energy subsidy reductions;
  • Reductions in the national energy bill;
  • Reductions in consumers’ energy bills;
  • Jobs created…

 

EnerInfo will ensure monitoring and evaluation of the energy conservation programmes piloted by ANME, and will compile energy sector data from existing mitigation measures or measures likely to be developed.

Collective solar thermal installations are classified into two categories:

In 2012, ANME set up the ‘Med-Pro’ techno-economic model to simulate energy demand by sector and by form of energy. This model has been adapted to the Tunisian energy and socio-economic context, making it possible to carry out long-term (2050) energy and climate (mitigation) forecasting.

Med-Pro uses a bottom-up approach, based on classifying energy consumption by energy use, form of energy and industry. It thus enables…

  • Simulation of future energy demand;
  • Identifying an accurate forecast for the energy mix;
  • Accounting for energy sector related to greenhouse gas emissions, in accordance with the methodology recommended by the IPCC.
  • The housing stock has grown from about 2.9 million houses in 2009 to about 3.3 million in 2015, an increase of 80,000 houses per year. This park is expected to grow faster in the next years because of the various real estate projects planned over the medium term.
  • 30%
    The scarcity of national natural resources along with the increase of energy demand leads Tunisia to initiate an energy transition process focusing on the increase of the share of renewable energies in the production of electricity in order to reach 12% by 2020 and 30% by 2030, in comparison to the current 3%. Indeed, the objective is to reach a renewable electric power of 3815 MW by 2030.
  • 41%
    International negotiations on climate change resulted in a historic agreement in December 2015 in Paris called the "Paris Agreement"
  • 30%
    Penetration rate of renewable energies in electricity production in 2030