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ThinkMind // ICONS 2020, The Fifteenth International Conference on Systems // View article icons_2020_5_20_48004


Adapting the CO2-Compass Architecture to Further Optimize Data Generation Methods - Enhancing CO2 Emission Forecasts by Minimizing the Area of Observation

Authors:
Lucas Hüer
Helge Fischer
Sebastian Lawrenz
Hans-Jürgen Pfisterer
Oliver Thomas

Keywords: CO2 Emission Reduction; Software Engineering; Energy Production; Renewable Energies; Energy Transition; Data Warehouse; Microservices

Abstract:
Climate change is one of the most important social issues of recent years. Ever new scientific insights and political decisions make it clear that innovative ways of attacking the climate change are needed. Minimizing emissions are especially important in order to stop the greenhouse effect and thus a source for global warming. Therefore, the software of the CO2-Compass was developed to provide a transparent overview of the electricity production and related CO2 emissions. Containing the service of a 24 hour forecast of these data, the CO2-Compass serves as a control tool to decide when electrical devices should be used from an ecological point of view. This paper strives to improve the existing architecture of the tool, by adding new sources of data collection and thus optimize the outcome of all offered services by the CO2-Compass. Therefore, the main goal of this paper is to improve the existing architecture of the first monomythical prototype towards a flexible and expandable microservice based architecture.

Pages: 78 to 83

Copyright: Copyright (c) IARIA, 2020

Publication date: February 23, 2020

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-771-9

Location: Lisbon, Portugal

Dates: from February 23, 2020 to February 27, 2020

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