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HOUSEHOLD

The module covers all relevant household end-uses, i.e. space heating, appliances and hot sanitary water. The quantitative database therefore includes data on stocks and energy consumption of :

• the individual and collective buildings split by age and type of fuel;

• appliances and lighting systems;

• hot sanitary water systems and devices, split by type of fuel and installation (separated or combined);

as well as complementary technical, economic parameters and forecast data on:

• heating system efficiencies;

• building insulation parameters by building type and components (windows, walls, floor and roof);

• appliances efficiency and energy performances;

• emission factors of the main air pollutants generated by heating systems;

• energy saving technologies installation costs and other financial data;

• stock growth-rates.

The MURE tool allows to simulate the impact of RUE interventions such as:

• building insulation

• boiler substitution and maintenance

• heat pump or solar panels installation

• co-generation district heating connection

• heating control device implementation

• appliances substitution

TRANSPORT

The transport module allows to simulate the impact of energy efficient measures on the whole transport system of a given country with particular emphasis on the private (cars) transport mode. Based on the disaggregated data stored in the quantitative database , MURE generates the energy demand by mode and fuel and provides information on energy savings and avoided pollutant emissions for any given RUE scenario. The main quantitative available data concern:

• stocks and registrations of private cars by age, engine size and fuel;

• unit consumptions of new cars by engine size, fuel and travelling area (urban, interurban);

• travelled distance (mileage) by area and fuel;

• traffic and unit consumption data for collective passenger modes;

• traffic and unit consumption for freight modes;

• emission factors.

Moreover MURE transport allows to set up reference transport scenarios, providing forecast values for:

• the car stock growth-rate by fuel;

• specific consumptions and travelled distance trends

• collective passenger mobility trends;

• freight transport traffic trends.

RUE scenarios are built to simulate the impact of technical and non technical energy saving interventions such as:

• car technical improvements (engines, materials, aerodynamic);

• traffic and private mobility regulation;

• passengers and/or goods modal split.

INDUSTRY

The MURE industry sector allows to analyse the energy savings achievable through the application of energy saving technologies to process energy end uses. The underlying databases therefore cover energy consumptions and efficient technologies. Energy consumption data are broken down by energy source and energy end use for the following industry sectors and sub-sectors:

• Chemicals

• Engineering and metal industries (broken down into four sub-sectors: mechanical and electric engineering, transport means, metal articles)

• Food, drink and tobacco (broken down into four sub-sectors: meat, dairy products, breweries, sugar)

• Iron and steel

• Non ferrous metals (broken down into four sub-sectors: aluminium, copper, zinc, lead)

• Non metallic minerals (broken down into four sub-sectors: cement, building materials, glass, ceramics)

• Paper and board

• Textile, leather and clothing

• Timber and wood products

A wide variety of end uses are considered and ranked by energy source and application, ranging from horizontal electric uses (electric motors, compressed air, lighting, air conditioning and refrigeration), to heating equipment and devices (boilers, dryers and kilns) and to process specific uses (as e.g. glass melting furnaces, brewing process, pulping process, etc.).

The technology database features a comprehensive list of energy saving technologies, together with the corresponding gains (and , when available, maximum penetration rates) for application to the process energy end uses and the subsequent estimation of potential energy savings.

TERTIARY

The MURE tertiary module allows to estimate energy savings achievable through the application of energy efficient technologies to the energy end uses characterising the public and private services sector. As for industry, databases on energy consumptions and on technologies are provided. The former features consumption data broken down by energy source and energy end use, for the following sub-sectors:

• Commercial offices

• Public buildings

• Hotels and catering

• Retail

• Sports and leisure

• Distribution and warehousing

• Education

• Health

The energy end uses are ranked by energy source (electric and thermal uses) and each end use is linked to one or more energy saving technologies, as described in the technology database.