Integrated Planning and Evaluation of Multi-Modal Energy Systems for Decarbonization of Germany

Muller, Christoph; Falke, Tobias; Hoffrichter, André; Wyrwoll, Lothar; Schmitt, Carlo; Trageser, Marc; Schnettler, Armin; Metzger, Michael; Huber, Matthías; Küppers, M.; Most, Dieter; Paulus, Simon; Heger, Hans Jörg

doi:10.1016/j.egypro.2019.01.923

Cited by 21 publications

(6 citation statements)

References 2 publications

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“…Energy demand has been derived bottom-up and includes electrical and thermal demand, as used in [18,53,54]. First, a building database is created storing information about each modeled building in the area of investigation.…”

Section: Bottom-up Regionalization Of Demand Datamentioning

confidence: 99%

Analyzing Intersectoral Benefits of District Heating in an Integrated Generation and Transmission Expansion Planning Model

et al. 2022

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In the field of sector integration, the expansion of district heating (DH) is traditionally discussed with regard to the efficient integration of renewable energy sources (RES) and excess heat. But does DH exclusively benefit from other sectors or does it offer advantages in return? So far, studies have investigated DH only as a closed system or determined intersectoral benefits in a highly aggregated approach. We use and expand an integrated generation and transmission expansion planning model to analyze how the flexibility of DH benefits the energy system and the power transmission grid in particular. First of all, the results confirm former investigations that show DH can be used for efficient RES integration. Total annual system cost can be decreased by expanding DH, due to low investment cost and added flexibility, especially from large-scale heat storage. The high short-term efficiency of heat storage—in combination with electric heating technologie —can be exploited to shift heat demand temporally and, using multiple distributed units, locally to solve electric grid congestion. Although it is unclear whether these results can be replicated in the real world, due to the aggregation and detail of the model, further research in this direction is justified.

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Section: Bottom-up Regionalization Of Demand Datamentioning

confidence: 99%

Analyzing Intersectoral Benefits of District Heating in an Integrated Generation and Transmission Expansion Planning Model

et al. 2022

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“…Mancarella et al [24] used the air quality standard to evaluate the emission reduction capacity of distributed cogeneration system, and quantified the contribution to cogeneration system emissions. Müller et al [25] proposed a methodical approach for the multimodal energy system and conducted a technology impact evaluation. From the perspective of energy demand, Wang et al [26] analyzed the energetic, economic and environmental performances of disruption of the building cooling, heating and power system, and constructed a reliability and availability evaluation model.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Q H E is the output power of the gas CHP unit. λ H and λ e are the corresponding energy quality coefficients [25], and W is the total amount of the first energy consumed by heat and electric energy. λ i is energy quality coefficient of an energy source.…”

Section: Indicator Calculation Formula Explanationmentioning

confidence: 99%

A Novel Comprehensive Benefit Evaluation of IEGES Based on the TOPSIS Optimized by MEE Method

2021

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The integrated electricity–gas energy system (IEGES) coordinates the power system and natural gas system through P2G equipment, gas turbines and other coupling components. The IEGES can realize wide-range and long-distance transmission of electricity, heat and natural gas, and truly realize large-scale cross-regional energy supply in space. At present, the theoretical system applicable to the comprehensive benefit evaluation of the IEGES has not been established, and the economic, environmental and social benefits of the system are still at a preliminary study stage. Therefore, the comprehensive benefit evaluation model of the IEGES is constructed, and the integrated benefit evaluation indicator system of the IEGES is designed along the investment and planning, energy supply, equipment operation, power distribution and terminal user. Through the combination of subjective and objective indicator weighting methods, the weights of each indicator are clarified and the matter-element extension theory (MEE) is used to improve the technique for order preference by similarity to ideal solution (TOPSIS), and the comprehensive benefit evaluation model of the IEGES is established. Finally, taking Beijing Yanqing IEGES, Tianjin Eco-city No. 2 Energy Station and Hebei IEGES III as an example, the practicability and effectiveness of the evaluation indicator system and model are verified.

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“…With focus on the power sector and technical feasibilty within the transmission grids [65,66] also modeled the German energy system including demands for the transportation, heating and industry sectors. Different from other approaches, they chose to model in different steps which allowed them not only to have a simple cost optimization but also include some market and grid simulations.…”

Section: Literature Reviewmentioning

confidence: 99%

Pathways for Germany’s Low-Carbon Energy Transformation Towards 2050

et al. 2019

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Like many other countries, Germany has defined goals to reduce its CO2-emissions following the Paris Agreement of the 21st Conference of the Parties (COP). The first successes in decarbonizing the electricity sector were already achieved under the German Energiewende. However, further steps in this direction, also concerning the heat and transport sectors, have stalled. This paper describes three possible pathways for the transformation of the German energy system until 2050. The scenarios take into account current climate politics on a global, European, and German level and also include different demand projections, technological trends and resource prices. The model includes the sectors power, heat, and transportation and works on a Federal State level. For the analysis, the linear cost-optimizing Global Energy System Model (GENeSYS-MOD) is used to calculate the cost-efficient paths and technology mixes. We find that a reduction of CO2 of more than 80% in the less ambitious scenario can be welfare enhancing compared to a scenario without any climate mitigating policies. Even higher decarbonization rates of 95% are feasible and needed to comply with international climate targets, yet related to high effort in transforming the subsector of process heat. The different pathways depicted in this paper render chances and risks of transforming the German energy system under various external influences.

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Integrated Planning and Evaluation of Multi-Modal Energy Systems for Decarbonization of Germany

Cited by 21 publications

References 2 publications

Analyzing Intersectoral Benefits of District Heating in an Integrated Generation and Transmission Expansion Planning Model

Analyzing Intersectoral Benefits of District Heating in an Integrated Generation and Transmission Expansion Planning Model

A Novel Comprehensive Benefit Evaluation of IEGES Based on the TOPSIS Optimized by MEE Method

Pathways for Germany’s Low-Carbon Energy Transformation Towards 2050

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