scholarly journals Open-Source Tool for Transforming CityGML Levels of Detail

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8250
Author(s):  
Avichal Malhotra ◽  
Simon Raming ◽  
Jérôme Frisch ◽  
Christoph van Treeck
Keyword(s):  
Open Source ◽  
Open Data ◽  
Building Energy ◽  
Digital Form ◽  
Essential Information ◽  
Levels Of Detail ◽  
Building Models ◽  
Energy Modelling ◽  
Geometrical Information ◽  
Geometric Processing

Urban Building Energy Modelling (UBEM) requires adequate geometrical information to represent buildings in a 3D digital form. However, open data models usually lack essential information, such as building geometries, due to a lower granularity in available data. For heating demand simulations, this scarcity impacts the energy predictions and, thereby, questioning existing simulation workflows. In this paper, the authors present an open-source CityGML LoD Transformation (CityLDT) tool for upscaling or downscaling geometries of 3D spatial CityGML building models. With the current support of LoD0–2, this paper presents the adapted methodology and developed algorithms for transformations. Using the presented tool, the authors transform open CityGML datasets and conduct heating demand simulations in Modelica to validate the geometric processing of transformed building models.

scholarly journals Benchmarking and screening new building energy models in the Toronto context

2021 ◽  
Author(s):  
Jennifer Harmer
Keyword(s):  
Building Design ◽  
Building Energy ◽  
Feedback Mechanism ◽  
Building Energy Modeling ◽  
Support Design ◽  
Policy Makers ◽  
Building Models ◽  
Energy Modelling ◽  
And Performance ◽  
Design Guidance

Building energy modeling is a well-established field but there is a lack of research to support design guidance and energy benchmarking using simulated results. This study presents a methodology for collecting information about planned buildings in Toronto from uploaded building energy modelling files, to be used as a basis of comparison for future models. The methodology includes the development of an algorithm for automating the generation of baseline building models. Key building design and performance characteristics are identified for inclusion in a database of new buildings in Toronto, and a feedback mechanism, to provide design guidance through comparative analysis and program screening, is detailed. The resultant database can be used by individual building design teams, urban planners, or policy-makers, as they work together to reduce the greenhouse gas emissions in Toronto through increased energy efficiency in the built environment.

scholarly journals BESTEST and EN ISO 52016 Benchmarking of ALMABuild, a New Open-Source Simulink Tool for Dynamic Energy Modelling of Buildings

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2938 ◽  
Author(s):  
Jean Pierre Campana ◽  
Gian Luca Morini
Keyword(s):  
Open Source ◽  
User Interfaces ◽  
Calculation Method ◽  
Dynamic Modelling ◽  
Building Energy ◽  
Analysis And Design ◽  
Energy Modelling ◽  
Software Platforms ◽  
Empirical Tests ◽  
Building Physics

In this paper a new open source SIMULINK blockset, named ALMABuild, for the thermal dynamic modelling of a building is presented. SIMULINK, integrated with MATLAB, provides immediate access to an extensive range of analysis and design tools by means of which designers can easily combine, for instance, the energy dynamic simulation of the building-HVAC systems with multi-objective optimisation, avoiding heavy co-simulations involving different software platforms. ALMABuild proposes a simplified way to make the energy model of a building, in which the calculations are done per so called “thermal zone”, in agreement with EN ISO 52016. The user is driven towards the building modelling by means of a series of Graphical User Interfaces (GUIs). In this way the creation of an accurate model can also be achieved by designers lacking specific expertise in numerical computation. In this paper, the benchmarking of ALMABuild by following the BESTEST procedure is described. The agreement with the most popular commercial software for dynamic building energy simulation and with the predictions obtainable by following the simplified hourly calculation method proposed by EN ISO 52016 confirms that ALMABuild is able to guarantee an intuitive and accurate modelling of the thermal building physics. Firstly, analytical and empirical tests are presented, then comparative tests with the reference BESTEST programs, EnergyPlus and the hourly calculation method proposed by EN ISO 52016 are performed. The agreement with BESTEST reference data confirms that ALMABuild is able to model the thermal physics as well as these accepted methods.

scholarly journals Benchmarking and screening new building energy models in the Toronto context

2021 ◽  
Author(s):  
Jennifer Harmer
Keyword(s):  
Building Design ◽  
Building Energy ◽  
Feedback Mechanism ◽  
Building Energy Modeling ◽  
Support Design ◽  
Policy Makers ◽  
Building Models ◽  
Energy Modelling ◽  
And Performance ◽  
Design Guidance

Building energy modeling is a well-established field but there is a lack of research to support design guidance and energy benchmarking using simulated results. This study presents a methodology for collecting information about planned buildings in Toronto from uploaded building energy modelling files, to be used as a basis of comparison for future models. The methodology includes the development of an algorithm for automating the generation of baseline building models. Key building design and performance characteristics are identified for inclusion in a database of new buildings in Toronto, and a feedback mechanism, to provide design guidance through comparative analysis and program screening, is detailed. The resultant database can be used by individual building design teams, urban planners, or policy-makers, as they work together to reduce the greenhouse gas emissions in Toronto through increased energy efficiency in the built environment.

scholarly journals 3D CITYGML BUILDING MODELLING FROM LIDAR POINT CLOUD DATA

2018 ◽  
Vol XLII-5 ◽  
pp. 175-180 ◽  
Author(s):  
P. Jayaraj ◽  
A. M. Ramiya
Keyword(s):  
Open Source ◽  
Point Cloud ◽  
Smart Cities ◽  
Open Data ◽  
3D Models ◽  
Airborne Lidar ◽  
Model Framework ◽  
Cloud Data ◽  
Building Models ◽  
Virtual City

<p><strong>Abstract.</strong> With recent government initiatives for smart cities, 3D virtual city models are in demand for managing and monitoring the urban infrastructure. 3D building models forms an important component of 3D virtual city model. LiDAR remote sensing has revolutionized the way the third dimension can be precisely mapped and proved to be an important source of data for 3D models. The model thus generated should be in an open data format to be used across various applications. CityGML is an open data model framework that enables storage and exchange of 3D models which can be used for diversified applications. The main objective of this research is to develop a methodological workflow to create 3D building models in CityGML standard from airborne LiDAR point cloud. Initially building points were isolated from the airborne LiDAR data using point cloud processing algorithms. 3D building models with levels of detail (LoD1 and LoD2) were generated from the building points in CityGML standard using commercial (ArcGISPro) well as open source packages (3dfier, Citygml4j). Results prove that the models developed using open source packages are comparable to that provided by commercial packages.</p>

scholarly journals Developing a community of practice around an open source energy modelling tool

2021 ◽  
Vol 35 ◽  
pp. 100650
Author(s):  
T. Niet ◽  
A. Shivakumar ◽  
F. Gardumi ◽  
W. Usher ◽  
E. Williams ◽  
...  
Keyword(s):  
Open Source ◽  
Community Of Practice ◽  
Energy Modelling

scholarly journals Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic

2021 ◽  
Author(s):  
Shinji Kobayashi ◽  
Luis Falcón ◽  
Hamish Fraser ◽  
Jørn Braa ◽  
Pamod Amarakoon ◽  
...  
Keyword(s):  
Open Source ◽  
Medical Informatics ◽  
Open Source Software ◽  
Collective Intelligence ◽  
Collaborative Work ◽  
Open Data ◽  
Theme Issue ◽  
Health Organizations ◽  
The World ◽  
Civic Technology

Objectives: The emerging COVID-19 pandemic has caused one of the world’s worst health disasters compounded by social confusion with misinformation, the so-called “Infodemic”. In this paper, we discuss how open technology approaches - including data sharing, visualization, and tooling - can address the COVID-19 pandemic and infodemic. Methods: In response to the call for participation in the 2020 International Medical Informatics Association (IMIA) Yearbook theme issue on Medical Informatics and the Pandemic, the IMIA Open Source Working Group surveyed recent works related to the use of Free/Libre/Open Source Software (FLOSS) for this pandemic. Results: FLOSS health care projects including GNU Health, OpenMRS, DHIS2, and others, have responded from the early phase of this pandemic. Data related to COVID-19 have been published from health organizations all over the world. Civic Technology, and the collaborative work of FLOSS and open data groups were considered to support collective intelligence on approaches to managing the pandemic. Conclusion: FLOSS and open data have been effectively used to contribute to managing the COVID-19 pandemic, and open approaches to collaboration can improve trust in data.

scholarly journals Learning Open Science by doing Open Science. A reflection of a qualitative research project-based seminar

2020 ◽  
Vol 36 (3) ◽  
pp. 263-279
Author(s):  
Isabel Steinhardt
Keyword(s):  
Qualitative Research ◽  
Open Source ◽  
Knowledge Society ◽  
Open Data ◽  
Open Science ◽  
Research Project ◽  
Science Practices ◽  
Bachelor's Degrees ◽  
Participatory Technologies ◽  
Digital Knowledge

Openness in science and education is increasing in importance within the digital knowledge society. So far, less attention has been paid to teaching Open Science in bachelor’s degrees or in qualitative methods. Therefore, the aim of this article is to use a seminar example to explore what Open Science practices can be taught in qualitative research and how digital tools can be involved. The seminar focused on the following practices: Open data practices, the practice of using the free and open source tool “Collaborative online Interpretation, the practice of participating, cooperating, collaborating and contributing through participatory technologies and in social (based) networks. To learn Open Science practices, the students were involved in a qualitative research project about “Use of digital technologies for the study and habitus of students”. The study shows the practices of Open Data are easy to teach, whereas the use of free and open source tools and participatory technologies for collaboration, participation, cooperation and contribution is more difficult. In addition, a cultural shift would have to take place within German universities to promote Open Science practices in general.

scholarly journals Open Data, Open Source and Open Standards in chemistry: The Blue Obelisk five years on

2011 ◽  
Vol 3 (1) ◽  
Author(s):  
Noel M O'Boyle ◽  
Rajarshi Guha ◽  
Egon L Willighagen ◽  
Samuel E Adams ◽  
Jonathan Alvarsson ◽  
...  
Keyword(s):  
Open Source ◽  
Open Data ◽  
Open Standards

scholarly journals Geometry Extraction for High Resolution Building Energy Modelling Applications from Point Cloud Data: A Case Study of a Factory Facility

2017 ◽  
Vol 142 ◽  
pp. 1805-1810 ◽  
Author(s):  
Tom Lloyd Garwood ◽  
Ben Richard Hughes ◽  
Dominic O’Connor ◽  
John K Calautit ◽  
Michael R Oates ◽  
...  
Keyword(s):  
High Resolution ◽  
Point Cloud ◽  
Building Energy ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Energy Modelling
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