DREEM

What problem it solves

The Dynamic high-Resolution dEmand-sidE Management (DREEM) model is a fully integrated dynamic high-resolution hybrid bottom-up model that serves as an entry point in energy demand and demand-side management modelling in the building sector. In particular, apart from calculating energy demand, DREEM quantifies benefits and assesses limitations of demand-flexibility, primarily for consumers, but also for other power actors involved. Moreover, it provides the ability to incorporate future technological breakthroughs in a detailed manner, such as the inclusion of heat pumps or electric vehicles, in view of energy transitions envisioning the full electrification of the heating and transport sectors.

Inputs

• Input data in CSV and text format.
• Weather data, thermal comfort parameters, and thermostat set points, all in monthly resolution.
• Available appliances (traits, power ratings, and use characteristics), occupancy and activity profiles.
• Building typologies and envelope specifications.
• Available demand-flexibility technologies (HVAC, PV & storage installations, smart-thermostat, etc.).
• System Marginal Prices, competitive electricity consumption tariffs, and other regulated charges.

Outputs

• Output data can be saved in Excel, CSV, text, or image files.
• Net building demand and the aggregated results for a user-defined number of buildings in hourly (or even lower) resolution.
• Self-consumption and demand-flexibility benefits for consumers and benefits/losses for suppliers.
• Optimal demand-response policy strategy that could optimise suppliers’ benefits.

Language(s)

DREEM is developed in Python 3 and Modelica Buildings library, and runs on Windows, MacOS, and Linux operating systems.

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