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Title:
 
Energy Model for a Rural Region in Germany - Results and Balancing of Electricity Production and Consumption
 
Author(s):
 
J. Bunner, H. te Heesen
 
Keywords:
 
Environmental Effect, Strategy, CO2, Modelling / Modeling
 
Topic:
 
PV Applications, Integration and Storage
Subtopic: Energy System Integration
Event: 38th European Photovoltaic Solar Energy Conference and Exhibition
Session: 6CO.11.3
 
Pages:
 
1346 - 1349
ISBN: 3-936338-78-7
Paper DOI: 10.4229/EUPVSEC20212021-6CO.11.3
 
Price:
 
 
0,00 EUR
 
Document(s): paper
 

Abstract/Summary:


The simulation tool UCB SEnMod was developed and applied to model an energy system for a rural region in Germany (Nationalparkregion Hunsr├╝ck-Hochwald, population about 110 000), focusing on the electricity sector coupled with the transport and heat sectors. The hour-based simulations were performed for different years and possible future scenarios up to the year 2050. Various factors were considered for future energy demand, including the increasing heat pump use, the transformation to electromobility in private transport, and demographic change. The electric load for each sector, including electromobility, was modeled using standard load profiles. The model considers electricity generation via wind turbines, PV systems, and bioenergy. Also, battery storage systems are integrated into the energy model. Electricity generation by wind turbines and photovoltaic systems are simulated using long-term local weather data pro-vided by the German Weather Service (DWD). For the addition of renewable energy capacity, various future scenarios are analyzed. The baseline scenario aims to meet the electricity consumption in the region on a balance sheet basis. The energy model is based on a set of modular python scripts. For the renewable energy plants, the nominal power of wind turbines (402 MW) and PV systems (322 MWp) is revealed. A maximum storage capacity is given for the battery storage. The numbers above the arrows show the energy flows. In the analysis, both the degree of selfsufficiency and the self-consumption rate reaches about 66 %.