ArchetypeBuildingModel.jl: A Julia module for aggregating building stock data into desired archetype building lumped-capacitance thermal models.

Topi Rasku

doi:10.5281/zenodo.7353502

ArchetypeBuildingModel.jl: A Julia module for aggregating building stock data into desired archetype building lumped-capacitance thermal models.

Topi Rasku

DOES - Design and Operation of Energy Systems

Research output: Non-textual form › Software › Scientific

Abstract

The goal of this module is to aggregate building stock data into arbitrary simplified lumped-capacitance thermal models representing the flexible heating/cooling demand of the underlying building stock for large-scale energy system models like Backbone or SpineOpt. Requires building stock data processed by e.g. FinnishBuildingStockData.jl or similar, as well as archetype building definitions according to the template provided in archetype_definitions.json as input. For automatic weather data processing, this module uses the Python sub-module archetypebuildingweather.

Original language	English
Publisher	VTT Technical Research Centre of Finland
Media of output	Online
DOIs	https://doi.org/10.5281/zenodo.7353502
Publication status	Published - 8 Jun 2022
MoE publication type	I2 ICT software

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Building stock
building energy modelling
Building energy optimisation

Access to Document

10.5281/zenodo.7353502Licence: Other

Cite this

@misc{fa22aed55fd94460a0db2baa3e291dc2,

title = "ArchetypeBuildingModel.jl: A Julia module for aggregating building stock data into desired archetype building lumped-capacitance thermal models.",

abstract = "The goal of this module is to aggregate building stock data into arbitrary simplified lumped-capacitance thermal models representing the flexible heating/cooling demand of the underlying building stock for large-scale energy system models like Backbone or SpineOpt. Requires building stock data processed by e.g. FinnishBuildingStockData.jl or similar, as well as archetype building definitions according to the template provided in archetype\_definitions.json as input. For automatic weather data processing, this module uses the Python sub-module archetypebuildingweather.",

keywords = "Building stock, building energy modelling, Building energy optimisation",

author = "Topi Rasku",

year = "2022",

month = jun,

day = "8",

doi = "10.5281/zenodo.7353502",

language = "English",

publisher = "VTT Technical Research Centre of Finland",

address = "Finland",

}

TY - ADVS

T1 - ArchetypeBuildingModel.jl

T2 - A Julia module for aggregating building stock data into desired archetype building lumped-capacitance thermal models.

AU - Rasku, Topi

PY - 2022/6/8

Y1 - 2022/6/8

N2 - The goal of this module is to aggregate building stock data into arbitrary simplified lumped-capacitance thermal models representing the flexible heating/cooling demand of the underlying building stock for large-scale energy system models like Backbone or SpineOpt. Requires building stock data processed by e.g. FinnishBuildingStockData.jl or similar, as well as archetype building definitions according to the template provided in archetype_definitions.json as input. For automatic weather data processing, this module uses the Python sub-module archetypebuildingweather.

AB - The goal of this module is to aggregate building stock data into arbitrary simplified lumped-capacitance thermal models representing the flexible heating/cooling demand of the underlying building stock for large-scale energy system models like Backbone or SpineOpt. Requires building stock data processed by e.g. FinnishBuildingStockData.jl or similar, as well as archetype building definitions according to the template provided in archetype_definitions.json as input. For automatic weather data processing, this module uses the Python sub-module archetypebuildingweather.

KW - Building stock

KW - building energy modelling

KW - Building energy optimisation

UR - https://github.com/vttresearch/ArchetypeBuildingModel

U2 - 10.5281/zenodo.7353502

DO - 10.5281/zenodo.7353502

M3 - Software

PB - VTT Technical Research Centre of Finland

ER -

ArchetypeBuildingModel.jl: A Julia module for aggregating building stock data into desired archetype building lumped-capacitance thermal models.

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Sensitivity of a lumped-capacitance building thermal modelling approach for energy-market-scale flexibility studies

Economic model-predictive control of building heating systems using Backbone energy system modelling framework

Heating demand response in detached houses - comparing cost savings potential for consumers and the whole energy system

FlexiB: Integration of building flexibility into future energy systems

Second International Energy Agency, Energy in Buildings and Communities, Annex 83 Ph.D. Summer School “Principles of energy system modelling for Positive Energy Districts”

Stochastic model-predictive control of district-scale building energy systems using SpineOpt

Cite this

ArchetypeBuildingModel.jl: A Julia module for aggregating building stock data into desired archetype building lumped-capacitance thermal models.

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Research output

Sensitivity of a lumped-capacitance building thermal modelling approach for energy-market-scale flexibility studies

Economic model-predictive control of building heating systems using Backbone energy system modelling framework

Heating demand response in detached houses - comparing cost savings potential for consumers and the whole energy system

Projects

FlexiB: Integration of building flexibility into future energy systems

Activities

Second International Energy Agency, Energy in Buildings and Communities, Annex 83 Ph.D. Summer School “Principles of energy system modelling for Positive Energy Districts”

Stochastic model-predictive control of district-scale building energy systems using SpineOpt

Cite this