Modeling framework for planning and operation of multi-modal energy systems in the case of Germany

Muller, Christoph; Hoffrichter, André; Wyrwoll, Lothar; Schmitt, Carlo; Trageser, Marc; Kulms, Tom; Beulertz, Daniel; Metzger, Michael; Duckheim, Mathias; Huber, Matthías; Küppers, M.; Most, Dieter; Paulus, Simon; Heger, Hans Jörg; Schnettler, Armin

doi:10.1016/j.apenergy.2019.05.094

Cited by 57 publications

(33 citation statements)

References 18 publications

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“…This method allows for both solving the integrated market model for local and wholesale markets in reasonable computation time and a dispatch on every building or business EMS level. The distributed generators and loads are aggregated as described in [8] and different aggregation levels are defined. The highest aggregation level here is defined as HV/MV-substation levels where all buildings and businesses are aggregated as one EMS for each sector (HH, CTS & IND).…”

Section: A Aggregation-disaggregation Methodsmentioning

confidence: 99%

“…To optimize LEMs with high spatial and temporal granularity, the market participants are modeled on a single building or business level. Based on the bottom-up data described in [8], market participants are differentiated as household buildings (HH) and commerce, trade & services (CTS) or industry (IND) businesses. The data comprises over twenty million buildings and businesses on a sub-postal code level [10].…”

Section: Local Energy Market Modelmentioning

confidence: 99%

“…Thus, every aggregated EMS consists of several heat management systems that are only coupled electrically (cf. [8]). The definition of aggregation levels is highly flexible; for example, market participants can be aggregated on the basis of their postal code area.…”

Section: Aggregation Of Ems and Decomposition Of Lemsmentioning

confidence: 99%

“…A market coupling is carried out subsequently and the Lagrangian coordinators for each market zone are adjusted according to the market coupling results [9]. By applying detailed bottom-up modeling of distributed energy structures [8], the distributed flexibility can further be considered within the European market model. The (aggregated) market-based optimization of distributed flexibilities within the Lagrangian relaxation process is introduced in [7] (and [9]), where the distributed technologies are aggregated on the HV/MV substation level.…”

Section: Integrated Wholesale and Local Energy Market Modelmentioning

confidence: 99%

“…Our model further allows for dispatching of millions of distributed flexibilities on an individual building or business level. The framework is based on both a multi-modal bottom-up modeling approach to distributed energy technologies as well as electrical and thermal demands [8] and the multi-modal market optimization with explicit consideration of these distributed energy sources within a pan-European Lagrangian relaxation [7], [9]. For the framework presented in this paper, we extend the multi-modal Lagrangian relaxation approach to model LEMs.…”

Section: Introductionmentioning

confidence: 99%

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Bottom-up Modeling of Local Energy Markets within a Pan-European Wholesale Electricity Market Model

Schmitt¹,

Samaan²,

Schwaeppe³

et al. 2020

Preprint

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The energy system decarbonization and decentralization<br>require coordination schemes for distributed generators<br>and flexibilities. One coordination approach is local energy markets for trading energy among local producers and consumers. The resulting local coordination leads to the questions of how the interaction between local and wholesale markets will be designed and of how the introduction of local energy markets influences the wholesale market system. Therefore, this paper proposes a bottom-up modeling method for local markets within a pan- European wholesale market model. Furthermore, an aggregation-disaggregation method for local markets is developed to reduce computational effort. A case study for local markets in Germany shows the computational advantages of the aggregation-disaggregation method. Preliminary results indicate the impact of different interaction designs between local and wholesale markets on the wholesale market and show the need for further research.

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Section: A Aggregation-disaggregation Methodsmentioning

confidence: 99%

Section: Local Energy Market Modelmentioning

confidence: 99%

Section: Aggregation Of Ems and Decomposition Of Lemsmentioning

confidence: 99%

Section: Integrated Wholesale and Local Energy Market Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Bottom-up Modeling of Local Energy Markets within a Pan-European Wholesale Electricity Market Model

Schmitt¹,

Samaan²,

Schwaeppe³

et al. 2020

Preprint

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show abstract

Simultaneous design and operation optimization of renewable combined cooling heating and power systems

et al. 2020

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Combined cooling, heating, and power (CCHP) systems are promising solutions for conserving energy and reducing emissions. This article proposes a new mixed-integer linear programming (MILP) model for simultaneous design and operation optimization of a renewable CCHP system, considering component nonlinear operating characteristics and performance degradation with time. A bi-objective MILP problem is solved to achieve a trade-off between total annual cost (TAC) and greenhouse gas emissions (GHGe). A case study of a commercial region is employed to demonstrate our proposed methodology. The results shows, in comparison with conventional cost minimization, our solution features a tardy increase of 12.8% in TAC and a sharp reduction of 75.5% in GHGe. Moreover, we find that ignoring performance degradation leads to an over-estimation of 2.3-13.7% in system economic performance. The proposed methodology provides an effective and flexible framework for optimal design and operational analysis of renewable CCHP systems.

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Network and Storage

Schwarz

Lacalandra²,

Schewe

et al. 2020

AIRO Springer Series

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Modeling framework for planning and operation of multi-modal energy systems in the case of Germany

Cited by 57 publications

References 18 publications

Bottom-up Modeling of Local Energy Markets within a Pan-European Wholesale Electricity Market Model

Bottom-up Modeling of Local Energy Markets within a Pan-European Wholesale Electricity Market Model

Simultaneous design and operation optimization of renewable combined cooling heating and power systems

Network and Storage

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