UCB-SEnMod: A model for analyzing future energy systems with 100% renewable energy technologies - methodology

  • While the contribution of renewable energy technologies to the energy system is increasing, so is its level of complexity. In addition to new types of consumer systems, the future system will be characterized by volatile generation plants that will require storage technologies. Furthermore, a solid interconnected system that enables the transit of electrical energy can reduce the need for generation and storage systems. Therefore, appropriate methods are needed to analyze energy production and consumption interactions within different system constellations. Energy system models can help to understand and build these future energy systems. However, although various energy models already exist, none of them can cover all issues related to integrating renewable energy systems. The existing research gap is also reflected in the fact that current models cannot model the entire energy system for very high shares of renewable energies with high temporal resolution (15 min or 1-h steps) and high spatial resolution. Additionally, the low availability of open-source energy models leads to a lack of transparency about exactly how they work. To close this gap, the sector-coupled energy model (UCB-SEnMod) was developed. Its unique features are the modular structure, high flexibility, and applicability, enabling it to model any system constellation and can be easily extended with new functions due to its software design. Due to the software architecture, it is possible to map individual buildings or companies and regions, or even countries. In addition, we plan to make the energy model UCB-SEnMod available as an open-source framework to enable users to understand the functionality and configuration options more easily. This paper presents the methodology of the UCB-SEnMod model. The main components of the model are described in detail, i.e., the energy generation systems, the consumption components in the electricity, heat, and transport sectors, and the possibilities of load balancing.

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Author:Alexander Blinn, Henrik te Heesen
URN:urn:nbn:de:hbz:tr5-1157
DOI:https://doi.org/10.3390/en15124383
Parent Title (English):Energies
Publisher:MDPI
Document Type:Article (specialist journals)
Language:English
Date of OPUS upload:2022/09/03
Date of first Publication:2022/06/16
Publishing University:Hochschule Trier
Release Date:2022/09/05
Tag:CO2; electricity; energy; energy modeling; energy system; energy system modeling; environmental effect; heat; modeling; optimization; renewable energy; strategy; transport
GND Keyword:Energie; Energiemodell
Volume:15
Issue:12
Article Number:4383
Page Number:22
First Page:1
Last Page:22
Departments:FB Umweltplanung/-technik (UCB)
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 60 Technik
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International