scholarly journals District-Heating-Grid Simulation in Python: DiGriPy

Computation ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 72
Author(s):  
Lena Vorspel ◽  
Jens Bücker
Keyword(s):  
Time Series ◽  
Open Source ◽  
Network Model ◽  
Temperature Control ◽  
Open Source Software ◽  
Large Scale ◽  
District Heating ◽  
Grid Simulation ◽  
Heating Networks ◽  
Python Package

DiGriPy is a newly developed Python tool for the simulation of district heating networks published as open-source software in GitHub and offered as a Python package on PyPI. It enables the user to easily build a network model, run large-scale demand time series, and automatically compare different temperature-control conditions. In this paper, implementation details and usage instructions are given. Tests showing the results of different scenarios are presented and interpreted.

scholarly journals PRISMS-Fatigue computational framework for fatigue analysis in polycrystalline metals and alloys

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Mohammadreza Yaghoobi ◽  
Krzysztof S. Stopka ◽  
Aaditya Lakshmanan ◽  
Veera Sundararaghavan ◽  
John E. Allison ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Large Scale ◽  
Metals And Alloys ◽  
Analysis Tool ◽  
Computational Framework ◽  
Crystal Plasticity Finite Element ◽  
Polycrystalline Metals ◽  
Simulation Based ◽  
Open Source Framework

AbstractThe PRISMS-Fatigue open-source framework for simulation-based analysis of microstructural influences on fatigue resistance for polycrystalline metals and alloys is presented here. The framework uses the crystal plasticity finite element method as its microstructure analysis tool and provides a highly efficient, scalable, flexible, and easy-to-use ICME community platform. The PRISMS-Fatigue framework is linked to different open-source software to instantiate microstructures, compute the material response, and assess fatigue indicator parameters. The performance of PRISMS-Fatigue is benchmarked against a similar framework implemented using ABAQUS. Results indicate that the multilevel parallelism scheme of PRISMS-Fatigue is more efficient and scalable than ABAQUS for large-scale fatigue simulations. The performance and flexibility of this framework is demonstrated with various examples that assess the driving force for fatigue crack formation of microstructures with different crystallographic textures, grain morphologies, and grain numbers, and under different multiaxial strain states, strain magnitudes, and boundary conditions.

scholarly journals SynBiopython: an open-source software library for Synthetic Biology

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Jing Wui Yeoh ◽  
Neil Swainston ◽  
Peter Vegh ◽  
Valentin Zulkower ◽  
Pablo Carbonell ◽  
...  
Keyword(s):  
Synthetic Biology ◽  
Open Source ◽  
Open Source Software ◽  
Development Projects ◽  
Software Library ◽  
Current State ◽  
Starting Point ◽  
Common Problems ◽  
Data Tracking ◽  
Python Package

Abstract Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, sample and data tracking, and data analysis, among others. Typically, many of the challenges facing biofoundries are shared, yet there is frequent wheel-reinvention where many labs develop similar software solutions in parallel. In this article, we present the first attempt at creating a standardized, open-source Python package. A number of tools will be integrated and developed that we envisage will become the obvious starting point for software development projects within biofoundries globally. Specifically, we describe the current state of available software, present usage scenarios and case studies for common problems, and finally describe plans for future development. SynBiopython is publicly available at the following address: http://synbiopython.org.

scholarly journals Estimation of load curves for large-scale district heating networks

2020 ◽  
Vol 588 ◽  
pp. 052032
Author(s):  
Kai Nino Streicher ◽  
Stefan Schneider ◽  
Martin K. Patel
Keyword(s):  
Large Scale ◽  
District Heating ◽  
Heating Networks

Developing a Dynamic and Responsive Online Learning Environment

2011 ◽  
pp. 92-109 ◽  
Author(s):  
Janet Buchan
Keyword(s):  
Online Learning ◽  
Learning Environment ◽  
Open Source ◽  
Open Source Software ◽  
Large Scale ◽  
Appropriate Technology ◽  
Online Learning Environment ◽  
Institutional Level ◽  
Learning And Teaching ◽  
Community Source

Charles Stuart University adopted the open source software, Sakai, as the foundation for the university’s new, integrated Online Learning Environment. This study explores whether a pedagogical advantage exists in adopting such an open source learning management system. Research suggests that the community source approach to development of open source software has many inherent pedagogical advantages, but this paper examines whether this is due to the choice of open source software or simply having access to appropriate technology for learning and teaching in the 21st century. The author also addresses the challenges of the project management methodology and processes in the large-scale implementation of an open-source courseware management solution at the institutional level. Consequently, this study outlines strategies that an institution can use to harness the potential of a community source approach to software development to meet the institutional and individual user needs into the future.

Taming of ‘Openness' in Software Innovation Systems

2017 ◽  
Vol 8 (2) ◽  
pp. 1-15 ◽  
Author(s):  
Mehmet Gencer ◽  
Beyza Oba
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Open Innovation ◽  
Large Scale ◽  
Historical Perspective ◽  
Systems Of Innovation ◽  
Innovation Potential ◽  
Emergent Community ◽  
Strategic Pattern ◽  
The Continuum

In large-scale open source software (OSS) innovation ecosystems that incorporate firms, a variety of measures are taken to tame the potentially chaotic activities and align the contributions of various participants with the strategic priorities of major stakeholders. Such taming rests on the dual desires of this emergent community of firms to unleash the innovation potential of OSS and to drive it to a certain direction, and it emerges in the form of various organizational activities. By drawing on a sample of large-scale OSS ecosystems, the authors discuss that methods employed for taming are isomorphic, and overview the emerging strategic pattern for establishing systems of innovation. This pattern involves a related set of practices to balance virtues of OSS community while introducing corporate discipline. In contrast to approaches such as open innovation, which favor isolated reasoning, they present a systemic and historical perspective to explain the continuum in emergence and establishment of strategic patterns.

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