User:RobbieIanMorrison/sandbox/work in progress aeK7ic

Development for material for Open energy system models


 * https://forum.openmod.org/t/demod-a-new-python-lybrary-for-domestic-energy-demand-modeling/2875


 * Open energy system models

Stub
[placeholder text]

RAMP
D E P L O Y E D

RAMP is an open-source software suite for the stochastic simulation of userdriven energy demand time series based on few simple inputs. For example, a minimal definition of a user type for instance, a certain category of household requires only information about which energy-consuming devices they own, when they tend to use them on any typical day, and for how long in total. The software then leverages stochasticity to make up for the absence of more detailed information and to represent the unpredictability of human behavior.

The RAMP software can then generate synthetic data wherever metered data does not exist, such as when designing systems in remote areas or when looking forward to future electric-vehicle fleets. Moreover, the limited data requirements allow for a greater flexibility in scenario choice and development than similar but more data-intensive characterizations.

RAMP has been used in scientific research across diverse use cases, including generating electricity demand profiles for remote or residential communities, domestic hot water usage, cooking practices, and electric mobility. With geographic scales ranging from the level of districts to continents.

RAMP has several dozen users globally. In the early2020s, the software became part of a multi-institution software development effort, supported by TU Delft, VITO, Reiner Lemoine Institute, University of Liège, Leibniz University Hannover, and Universidad Mayor deSan Simón.

RAMP runs on Python and requires inputs in tabular format. Graphical user interfaces (GUI) are available that allow the software to be run from a web browser.

Demod
The Demod or Domestic Energy Demand Modelling Library is a Python library for assembling bottomup domestic energy demand models.