Publications

2022

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• Weidlich A
  Auf dem Weg zur Klimaneutralität - Ein Blick auf die Energieforschung in Deutschland
  2022 Forschung und Lehre, volume: 11, pages: 858 - 859
• Hottenroth H, Sutardhio C, Weidlich A, Tietze I, Simon S, Hauser W, Naegler T, Becker L, Buchgeister J, Junne T, Lehr U, Scheel O, Schmidt-Scheele R, Ulrich P, Viere T
  Beyond Climate Change. Multi-attribute decision making for sustainability assessment of energy system transformation pathways
  2022 Renewable and Sustainable Energy Reviews, volume: 156, page: 111996
  
   
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• Ulrich P, Naegler T, Becker L, Lehr U, Simon, S, Sutardhio C, Weidlich A
  Comparison of macroeconomic developments in ten scenarios of energy system transformation in Germany: National and regional results
  2022 Energy, Sustainability and Society, volume: 12, issue: 35, pages: 1 - 19
  
   
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• Stoy S, Harder N, Heinemann C, Kaiser M, Sandhaas A, Senkpiel C, Weidlich A
  Dekarbonisierung der deutschen Industrie − Potentiale zur Elektrifizierung und Flexibilisierung der Prozesswärme
  2022 Energiewirtschaftliche Tagesfragen, volume: 72, issue: 11, pages: 13 - 16
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  Abstract

  In der deutschen Industrie muss ein Großteil des Anlagenparks mit Lebensdauern von bis zu 70 Jahren bis 2030 erneuert werden. Hierbei ist es für die Erreichung von Klimaneutralität zwingend erforderlich, dass neue CO2-arme Technologien zum Einsatz kommen. Insbesondere die Elektrifizierung der Prozesswärmeerzeugung als Haupttreiber der Emissionen in der deutschen Industrie bietet ein hohes Potential für die Dekarbonisierung. Zudem können elektrifizierte Prozesse zum Teil auch Flexibilität bereitstellen, um auf das schwankende Angebot von Wind- und Solarstrom reagieren zu können.
• Papadopoulos D, Antonopoulos C, Papadakis VG
  Environmental assessment of a BIPV system
  2022 Advances in Energy Research, volume: 8, pages: 1 - 19
  
   
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• Wanapinit N, Thomsen J, Weidlich A
  Find the balance: how do electricity tariffs incentivize different system services from demand response?
  2022 Sustainable Energy, Grids and Networks
• Qussous R, Harder N, Schäfer M, Weidlich A
  Increasing the realism of electricity market modeling through market interrelations
  2022 Proceedings of the 1st International Workshop on Open Source Modelling and Simulation of Energy Systems, pages: 1 - 6
  
   
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• Wanapinit N, Thomsen J, Weidlich A
  Integrating flexibility provision into operation planning: A generic framework to assess potentials and bid prices of end-users
  2022 Energy, volume: 261, issue: B, supplement: 125261, pages: 1 - 14
  
   
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• Weidlich A, Schäfer M
  Mind the Gap – Abstände von Strom- zu Brennstoffpreisen und ihr Einfluss auf die Elektrifizierung von Wärme und Mobilität
  2022 ifo Schnelldienst, volume: 12, pages: 18 - 21
• Unnewehr JF, Weidlich A, Gfüllner L, Schäfer M
  Open-data based carbon emission intensity signals for electricity generation in European countries - top down vs. bottom up approach
  2022 Cleaner Energy Systems, volume: 3, issue: 100018, pages: 1 - 13
• Weidlich A, Neumann D, Gust G, Staudt P, Schäfer M
  Proceedings of the 11th DACH+ Conference on Energy Informatics
  2022 SpringerOpen
• Schmidt‑Scheele R, Hauser W, Scheel O, Minn F, Becker L, Buchgeister J, Hottenroth H, Junne T, Lehr U, Naegler T, Simon S, Sutardhio C, Tietze I, Ulrich P, Viere V, Weidlich A
  Sustainability assessments of energy scenarios: citizens’ preferences for and assessments of sustainability indicators
  2022 Energy, Sustainability and Society, volume: 12, issue: 41, pages: 1 - 23
• Unnewehr J, Schäfer M, Weidlich A
  The value of network resolution – A validation study of the European energy system model PyPSA-Eur
  2022 Proceedings of the 1st International Workshop on Open Source Modelling and Simulation of Energy Systems, pages: 1 - 7
  
   
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• Kühnbach M, Bekk A, Weidlich A
  Towards improved prosumer participation: Electricity trading in local markets
  2022 Energy, volume: 239, issue: E, page: 122445
  
   
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• Qussous R, Harder N, Weidlich A
  Understanding Power Market Dynamics by Reflecting Market Interrelations and Flexibility-Oriented Bidding Strategies
  2022 Energies, volume: 15, issue: 2, supplement: 494, pages: 1 - 24
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  Abstract

  Power markets are becoming increasingly complex as they move towards (i) integrating higher amounts of variable renewable energy, (ii) shorter trading intervals and lead times, (iii) stronger interdependencies between related markets, and (iv) increasing energy system integration. For designing them appropriately, an enhanced understanding of the dynamics in interrelated short-term physical power and energy markets is required, which can be supported by market simulations. In this paper, we present an agent-based power market simulation model with rule-based bidding strategies that addresses the above-mentioned challenges, and represents market participants individually with a high level of technical detail. By allowing agents to participate in several interrelated markets, such as the energy-only market, a procurement platform for control reserve and a local heat market representing district heating systems, cross-market opportunity costs are well reflected. With this approach, we were able to reproduce EPEX SPOT market outcomes for the German bidding zone with a high level of accuracy (mean absolute percentage error of 8  /MWh for the years 2016–2019). We were also able to model negative market prices at the energy-only market realistically, and observed that the occurrence of negative prices differs among data inputs used. The simulation model provides a useful tool for investigating different short-term physical power/energy market structures and designs in the future. The modular structure also enables extension to further related markets, such as fuel, CO2, or derivative markets.
  
  
   
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2021

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• Wanapinit N, Thomsen J, Kost C, Weidlich A
  An MILP model for evaluating the optimal operation and flexibility potential of end-users
  2021 Appl Energ, volume: 282, issue: Part B
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  Abstract

  It is expected that end-users from all sectors should participate in providing system flexibility, as variablerenewable energy is increasingly integrated into electricity systems. The ability of end-users to shift theirelectricity profiles has considerable potentials and can serve many purposes, e.g. to curb the peak loador to increase self-consumption. However, evaluation methods designed for flexibility from conventionalpower plants may be inadequate for flexibility from end-users due to the diverse constraints of underlyingprocesses and limitations related to individual needs. This work presents a comprehensive and modularflexibility model developed from common operational characteristics of flexible processes as an alternativemethod.The model is applied to two examples: First, the operation of a combined heat-and-power plant includinginput and output storage is optimized with the objective to increase profits from electricity sales on the spotmarket. Second, a steel rod production line consisting of melting, casting, and milling processes is scheduled sothat operating costs, including peak power costs, are minimized. Moreover, potentials of flexibility as externalservices and related costs are analysed. In this paper, the model is used to calculate the optimal costs (e),time-dependent flexibility potentials (kWh) and costs of flexibility provision (e/kWh). Thus, the adaptabilityand versatility of the model are demonstrated. As a modelling template, the model can ease the efforts ofstakeholders in the characterization and evaluation of various flexible processes, especially those from smalland medium-sized users.
  
  
   
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• Klobasa M, Kühnbach M, Pelka S, Stute J, Sarfarazi S, Nienhaus K, Bruckmeier A, Springmann E, Köppl S, Guthoff F, Qussous R, Ritter D, Flachsbarth F, Heinemann C
  Bewertung der systemischen Auswirkungen der C/sells-Anwendungsfälle: Gesamtbericht der Arbeiten in Arbeitspaket 2.6 des SINTEG-Forschungsprojekts C/sells
  Fraunhofer ISI, 2021
• Abunofal M, Poshiya N, Qussous R, Weidlich A
  Comparative Analysis of Electricity Market Prices Based on Different Forecasting Methods
  2021 IEEE Madrid PowerTech, volume: 2021
  
   
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• van Dinther C, Flath CM, Gaerttner J, Huber J, Mengelkamp E, Schuller A, Staudt P, Weidlich A
  Engineering Energy Markets – The Past, the Present and the Future
  In: Market Engineering - Insights from Two Decades of Research on Markets and Information
  2021, Springer, pages: 113 - 134,
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  Abstract

  Since the beginning of energy sector liberalization, the design of energy markets has become a prominent field of research. Markets nowadays facilitate efficient resource allocation in many fields of energy system operation, such as plant dispatch, control reserve provisioning, delimitation of related carbon emissions, grid congestion management and, more recently, smart grid concepts and local energy trading. Therefore, good market designs play an important role in enabling the energy transition towards a more sustainable energy supply for all. In this contribution, we retrace how market engineering shaped the development of energy markets, and how the research focus shifted from national wholesale markets towards more decentralized and location-sensitive concepts.
• Naegler T, Sutardhio C, Weidlich A, Pregger T
  Exploring long-term strategies for the German Energy Transition - A Review of Multi-Sector Energy Scenarios
  2021 Renewable and Sustainable Energy Transition, volume: 1, page: 100010
• Unnewehr JF, Jalbout E, Jung C, Schindler D, Weidlich A
  Getting more with less? Why repowering onshore wind farms does not always lead to more wind power generation – A German case study
  2021 Renewable Energy, volume: 180, pages: 245 - 257
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  Abstract

  The best wind locations are nowadays often occupied by old, less efficient and relatively small wind turbines. Many of them will soon reach the end of their operating lifetime, or lose financial support. Therefore, repowering comes to the fore. However, social acceptance and land use restrictions have been under constant change since the initial expansions, which makes less area available for new turbines, even on existing sites. For the example of Germany, this study assesses the repowering potential for onshore wind energy in high detail, on the basis of regionally differentiated land eligibility criteria. The results show that under the given regional criteria, repowering will decrease both operating capacity and annual energy yield by roughly 40% compared to the status quo. This is because around half of the wind turbines are currently located in restricted areas, given newly enacted exclusion criteria. Sensitivity analyses on the exclusion criteria show that the minimum distance to discontinuous urban fabric is the most sensitive criterion in determining the number of turbines that can be repowered. As regulations on this can vary substantially across different regions, the location-specific methodology chosen here can assess the repowering potential more realistically than existing approaches.
  
  
   
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• Farhang R, Papadopoulos D
  How has COVID-19 Impacted Electricity Production Tendencies? An Environmental Investigation of Germany, France, and Italy.
  2021 Proceedings of the 7th Conference “Economics of Natural Resources and the Environment”
  
   
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• Weidlich A
  Infrastrukturen für ein klimaneutrales Energiesystem: Szenarienstudien weisen den Weg
  Stiftung Energie und Klimaschutz, 2021
• Naegler T, Becker L, Buchgeister J, Hauser W, Hottenroth H, Junne T, Lehr U, Scheel O, Schmidt-Scheele R, Simon S, Sutardhio C, Tietze T, Ulrich P, Viere T, Weidlich A
  Integrated Multidimensional Sustainability Assessment of Energy System Transformation Pathways
  2021 Sustainability, volume: 13, issue: 9, pages: 5217-1 - 5217-29
  
   
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• Gimpel H, Krämer J, Neumann D, Pfeiffer J, Seifert S, Teubner T, Veit DJ, Weidlich A
  Market Engineering - Insights from Two Decades of Research on Markets and Information
  2021 Springer
• Kühnbach M, Bekk A, Weidlich A
  Prepared for regional self-supply? On the regional fit of electricity demand and supply in Germany
  2021 Energy Strategy Reviews, volume: 34, pages: 1 - 14
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  Abstract

  Decentralized systems seeking to balance electricity supply and demand regionally are increasingly being discussed. Regional flexibility concepts, however, require spatially and temporally highly resolved knowledge. To provide this, we investigate the 2030 demand, supply, and demand-side flexibility for the German NUTS-3 regions. We (1) model the hourly regional electricity demand and supply, (2) cluster regions with regard to the regional demand and supply fit and (3) evaluate demand response for the identified clusters. While in windy or industrialized regions, the impact of demand response is low, in urban regions on the other hand, the effectiveness of flexible end uses is higher and residual load is flattened. Regions with medium-sized cities or those with smaller energy-intensive industries show a good regional fit. Here, demand response can be used very effectively to increase the regionally consumed share of electricity.
  
  
   
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• Weidlich A, Neumann D, Gust G, Staudt P, Schäfer M
  Proceedings of the 10th DACH+ Conference on Energy Informatics
  2021 SpringerOpen
• Tsiaras E, Papadopoulos D, Antonopoulos C, Papadakis V.G, Coutelieris F.A
  Sustainable off-grid power supply for small settlements
  In: Hybrid Technologies for Power Generation (Book Chapter)
  2021, Academic Press, ISBN: 9780128237939
• Wanapinit N, Thomsen J
  Synergies between Renewable Energy and Flexibility Investments: A Case of a Medium-Sized Industry
  2021 Energies, volume: 14, issue: 22, page: 7753
  
   
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• Sauer DU, Pittel K, Henning H-M, Renn J, Schmidt C, Spiecker I, Bett A, Haucap J, Kühling J, Matthies E, Umbach E, Ragwitz M, Staiß F, Weidlich A, Erlach B, Glotzbach U, Lapac A, Seiler A, Stephanos C
  Wenn nicht jetzt, wann dann – wie die Energiewende gelingt
  acatech Schriftenreihe zur wissenschaftsbasierten Politikberatung, 2021

2020

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• Unnewehr J
  Tracking CO2 emissions from power generation in high spatial and temporal resolution – Case study for the German electricity system
  2020 Energy Informatics, volume: 3
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  Abstract

  Until today it is not possible to allocate the CO2 emissions in the German electricity system to a specific region and its corresponding electricity demand that caused them. This paper presents a new energy system model and uses established methods for answering this question. A detailed bottom-up model of the German electricity system is built to represent a highly spatial and temporal representation of the Germany electricity system in 2019. In combination with a customized input-output analysis, the individual emissions from the producer to the caused consumer can be traced. The analysis demonstrates the importance of considering spatial and temporal effects as well as electricity exchanges between regions in estimating emissions footprints.
• Sato S, Weidlich A
  Analysis of Avoided Transmission Through Decentralized Photovoltaic and Battery Storage Systems
  2020 IEEE T Sustain Energ, volume: 11, issue: 3, pages: 1922 - 1929
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  Abstract

  Decentralized renewable energy systems can be low-carbon power sources, and promoters of local economies. It is often argued that decentralized generation also helps reducing transmission costs, as generation is closer to the load, thus utilizing the transmission system less. The research presented here addresses the question whether or not, or under what circumstances this effect of avoided transmission can actually be seen for a community-operated cluster of photovoltaic (PV) power plants in two sample locations, one in Germany and one in Japan. For the analysis, the newly developed instrument of MPI-MPE diagrams is used, which plot the maximum power import (MPI) and maximum power export (MPE) in relation to the reference case of no local generation. Results reveal that for moderately sized PV systems without battery storage, avoided transmission can be seen in the Japanese model location, but not in Germany. It was also found that an additional battery storage can lead to avoided transmission in both locations, even for large sizes of installed PV capacity.
  
  
   
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• Kühnbach M, Pisula S, Bekk A, Weidlich A
  How much energy autonomy can decentralised photovoltaic generation provide? A case study for Southern Germany
  2020 Appl Energ, volume: 280
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  Abstract

  Energy autonomy, the desire to become independent from a centralised supply system, is a core motivation for the development of decentralised energy systems, even if it does not have tangible economic or ecological benefits. For the case of electricity, we introduce a regional system model which optimises the capacity expansion and operation of photovoltaics and battery storage. We quantify cost-efficient regional degrees of electricity autonomy for 166 regions in Southern Germany and assess how increasing the degree of autonomy beyond the optimal level affects the economic viability of a decentralised electricity system. We find that the average optimal degree of autonomy reached is 44%. Thus, our results show that a substantial increase of photovoltaic capacity is economically beneficial in all the regions examined. However, achieving a predefined degree of autonomy causes additional costs for the region and results in a large overcapacity, while all regions still rely on the superordinate electricity system to some extent.
  
  
   
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• Tsiaras E, Papadopoulos D, Antonopoulos C, Papadakis V.G, Coutelieris F.A
  Planning and assessment of an off-grid power supply system for small settlements
  2020 Renewable Energy, volume: Volume 149, pages: 1271 - 1281
• Schäfer M, Tranberg B, Greiner M
  Power flows in complex renewable energy networks
  In: Discoveries at the Frontiers of Science
  2020, Springer, pages: 239 - 251,
• Hirschburger R, Weidlich A
  Profitability of Photovoltaic and Battery Systems on Municipal Buildings
  2020 Renew Energ, volume: 153, pages: 1163 - 1173
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  Abstract

  The increasing gap between electricity prices and feed-in tariffs for photovoltaic (PV) electricity in many countries, along with the recent strong cost degression of batteries, led to a rise in installed combined PV and battery systems worldwide. The load profile of a property greatly affects the self-consumption rate and, thus, the profitability of the system. Therefore, insights from analyses of residential applications, which are well studied, cannot simply be transferred to other types of properties. In comparison to residential applications, PV is especially suitable for municipal buildings, due to their better match of demand and supply. In order to analyze the value of additional batteries, municipal PV battery systems of different sizes were simulated, taking load profiles of 101 properties as inputs. It was found that self-consumption differs significantly from households, while different types of municipal buildings are largely similar in terms of the indicators analyzed. The share of electricity consumed during summertime was found to have the most significant impact on the self-consumption rate for most considered system sizes. Due to lower electricity tariffs and lower increases in self-consumption provided through batteries in municipal buildings, the investment into a battery is not economically advantageous in most of the cases considered.
  
  
   
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• Unnewehr J F, Waldl H-P, Pahlke T, Weidlich A
  Reducing Operational Costs of Offshore HVDC Energy Export Systems Through Optimized Maintenance
  2020 Energies, volume: 13, issue: 1146, pages: 1 - 20
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  Abstract

  For the grid connection of offshore wind farms today, in many cases a high-voltage direct current (HVDC) connection to the shore is implemented. The scheduled maintenance of the offshore and onshore HVDC stations makes up a significant part of the operational costs of the connected wind farms. The main factor for the maintenance cost is the lost income from the missing energy yield (indirect maintenance costs). In this study, we show an in-depth analysis of the used components, maintenance cycles, maintenance work for the on- and offshore station, and the risks assigned in prolonging the maintenance cycle of the modular multilevel converter (MMC). In addition, we investigate the potential to shift the start date of the maintenance work, based on a forecast of the energy generation. Our findings indicate that an optimized maintenance design with respect to the maintenance behavior of an HVDC energy export system can decrease the maintenance-related energy losses (indirect maintenance costs) for an offshore wind farm to almost one half. It was also shown that direct maintenance costs for the MMC (staff costs) have small effect on the total maintenance costs. This can be explained by the fact that the additional costs for maintenance staff are two orders of magnitude lower than the revenue losses during maintenance.
  
  
   
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• Heimsath A, Sutardhio C, Schöttl P, Nitz P
  Soiling of Solar Mirrors - Impact of Incidence Angles on CSP Plant Performance
  2020 25th Solar Power And Chemical Energy Systems International Symposium SolarPACES 2019 25th Solar Power And Chemical Energy Systems International Symposium SolarPACES, volume: 1
• Harder N, Qussous R, Weidlich A
  The cost of providing operational flexibility from distributed energy resources
  2020 Appl Energ, volume: 279, pages: 1 - 16
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  Abstract

  Flexible household devices, such as heat pumps combined with thermal energy storage or battery energy storage units, can provide flexibility to the electricity sector. However, to make flexibility available to the market, it has to be correctly quantified, and its cost has to be estimated. In this work, a methodology for generic flexibility quantification is proposed and developed in a Python environment using model predictive control. The chosen methodology allows to quantify the adjustable power, and also to determine the corresponding cost of the flexibility provision. It was observed that the available flexibility and its cost is influenced by many factors such as system components, human behavior, building thermal parameters, and price signals. Also, the inclusion of even a low share of households with batteries or electric vehicles smoothens the aggregated flexibility profile, and a considerable amount of flexibility is available at almost any point in time.
  
  
   
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• Schäfer M, Tranberg B, Jones D, Weidlich A
  Tracing carbon dioxide emissions in the European electricity markets
  2020 Proceedings of the 17th European Energy Market Conference, pages: 1 - 6
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  Abstract

  Consumption-based carbon emission measures aim to account for emissions associated with power transmission from distant regions, as opposed to measures which only consider local power generation. Outlining key differences between two different methodological variants of this approach, we report results on consumption-based emission intensities of power generation for European countries from 2016 to 2019. We find that in particular for well connected smaller countries, the consideration of imports has a significant impact on the attributed emissions. For these countries, implicit methodological choices in the input-output model are reflected in both hourly and average yearly emission measures.
  
  
   
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2019

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• Qussous R
  Analysis of market-based re-dispatch for the German bidding zone
  2019 Energy Informatics, volume: 2, pages: 93 - 96
• Qussous R, Künzel T, Weidlich A
  Effects of a Coal Phase-Out on Market Dynamics: Results from a Simulation Model for Germany
  2019 16th International Conference on the European Energy Market
  
   
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• Abdel-Khalek H, Schäfer M, Vásquez Torres RA, Unnewehr J, Weidlich A
  Forecasting Cross-Border Power Transmission Capacities in Central Western Europe Using Artificial Neural Networks
  2019 Energy Informatics, volume: 2, supplement: 1, pages: 1 - 13
  
   
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• Weidlich A, Zaidi A
  Operational Flexibility of Small-Scale Electricity-Coupled Heat Generating Units
  2019 Technology and Economics of Smart Grids and Sustainable Energy, volume: 4, issue: 8, pages: 1 - 16
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  Abstract

  Heat generation that is coupled with electricity usage, like combined heat and power generators or heat pumps, can provide operational flexibility to the electricity sector. In order to make use of this in an optimized way, the flexibility that can be provided by such plants needs to be properly quantified. This paper proposes a method for quantifying the flexibility provided through a cluster of such heat generators. It takes into account minimum operational time and minimum down-time of heat generating units. Flexibility is defined here as the time period over which plant operation can be either delayed or forced into operation, thus providing upward or downward regulation to the power system on demand. Results for one case study show that a cluster of several smaller heat generation units does not provide much more delayed operation flexibility than one large unit with the same power, while it more than doubles the forced operation flexibility. Considering minimum operational time and minimum down-time of the units considerably limits the available forced and delayed operation flexibility, especially in the case of one large unit.
  
  
   
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• Schäfer M, Hofmann F, Abdel-Khalek H, Weidlich A
  Principal Cross-Border Flow Patterns in the European Electricity Markets
  2019 16th International Conference on the European Energy Market
  
   
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• Wanapinit N, Weidlich A, Thomsen J
  Promoting flexibility from prosumers through a generic characteristic flexibility model
  2019 11. Internationale Energiewirtschaftstagung an der TU Wien
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  Abstract

  Energy systems require flexibility - an ability to respond to changes - to integrate higher shares of variable renewable energy. On the whole, flexibility potential from prosumers is significant and stems from various processes. As each flexibility option is unique, before utilization, its potential first must be assessed. This paper presents a universal flexibility model, so called generic characteristic flexibility model (GCM), as tool to characterize and assess most, if not all, flexibility options from prosumers. GCM establishes a generic flexible process with components representing physical parts, e.g. machine and storage, and various administrative decisions, e.g. changes in output delivery or operating hours. Each component is described with essential characteristics and constraints. As demonstrations, three flexible systems representing various sectors – a district heating system, a household appliance, and a production process - are characterized and modelled using GCM. Flexibility in these systems is utilized to minimize costs under time-varying electricity prices and subject to operational constraints. This in turn proves the concept of a universal flexibility model. GCM eases burdens of actors - flexibility providers and users - to develop assessment tools for each flexibility options. Its pre-defined structure and characteristics also support identification of flexible processes and communication between actors. Thus, it helps promoting the utilization of flexibility from prosumers.
  
  
   
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• Brown T, Schäfer M, Greiner M
  Sectoral Interactions as Carbon Dioxide Emissions Approach Zero in a Highly-Renewable European Energy System
  2019 Energies, volume: 12, page: 1032
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  Abstract

  Measures to reduce carbon dioxide emissions are often considered separately, in terms of electricity, heating, transport, and industry. This can lead to the measures being prioritised in the wrong sectors, and neglects interactions between the sectors. In addition, studies often focus on specific greenhouse gas reduction targets, despite the uncertainty regarding what targets are desirable and when. In this paper, these issues are examined for the period after 2030 in an existing openly-available, hourly-resolved, per-country, and highly-renewable model of the European energy system, PyPSA-Eur-Sec-30, that includes electricity, land transport, and space and water heating. A parameter sweep of different reduction targets for direct carbon dioxide emissions is performed, ranging from no target down to zero direct emissions. The composition of system investments, the interactions between the energy sectors, shadow prices, and the market values of the system components are analysed as the carbon dioxide limit changes. Electricity and land transport are defossilised first, while the reduction of emissions in space and water heating is delayed by the expense of new components and the difficulty of supplying heat during cold spells with low wind and solar power generation. For deep carbon dioxide reduction, power-to-gas changes the system dynamics by reducing curtailment and increasing the market values of wind and solar power. Using this model setup, cost projections for 2030, and optimal cross-border transmission, the costs of a zero-direct-emission system in these sectors are marginally cheaper than today’s system, even before the health and environmental benefits are taken into account.
  
  
   
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2018

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• Unnewehr J, Waldl H-P, Pahlke P, Herráez I
  Reducing operational costs of offshore HVDC energy export systems through optimized maintenance
  2018 17th Wind Integration Workshop
• Weidlich A, Künzel T, Klumpp F
  Bidding Strategies for Flexible and Inflexible Generation in a Power Market Simulation Model
  2018 1st International Workshop on Energy Market Engineering ACM e-Energy 2018, volume: 1, issue: 1, pages: 532 - 537
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  Abstract

  This paper presents an electricity market simulation model that focuses on the distinction between flexible and inflexible generation, and formulates bidding strategies for capacities of either type. Bid formulation for flexible power plants, storage and demand response units at a balancing power market and an energy exchange market are described, and exemplary results from the simulation model are presented. It is shown that the simulation model can realistically reproduce market outcomes for the example of the German market zone, and that it can also simulate negative market prices. Results reveal that power plants could be deployed in a more flexible manner than they are currently done in actual market operation, where larger variations of output are avoided especially for nuclear and lignite-fired power plants. The model can be used for analyzing future energy scenarios of high shares of variable renewable energy (VRE), and help answering research questions related to the required system flexibility for balancing out VRE fluctuations.
• Papadopoulos D
  Assessing the sustainability of renewable energy sources with the combination of life cycle and SWOT analyses
  2018 Proceedings of the 5th Panhellenic Conference in Environmental Economics
  
   
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• Voglstätter C, Weidlich A, Fischer D, Schmidinger J
  Control algorithms for electrolyzers - Hydrogen from green electricity
  2018 BKW, volume: 70, issue: 7/8, pages: 36 - 39
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  Abstract

  In 2017, the share of renewables in power generation in Germany was around 33 %. By 2030, according to the will of the federal government, it should be as high as 65 %. A large proportion of electricity from wind and solar energy will in future require electricity storage. Particularly promising is the conversion to hydrogen. Research, industry and the energy sector are currently driving forward the development and use of water electrolysers. The Fraunhofer Institute for Solar Energy Systems ISE and the University of Applied Sciences Offenburg, in cooperation with the energy provider badenova and the gas network operator bnNetz have developed operating management algorithms for electrolyzers and tested them at research facilities. Within the project, the integration of hydrogen into municipal gas and electricity grids and into a local energy grid could be tested taking into account the current regulations and economic constraints. Thereby, the partners have laid important foundations for the use of the energy carrier hydrogen.
• Schlachtberger D, Brown T, Schäfer M, Schramm S, Greiner M
  Cost optimal scenarios of a future highly renewable European electricity system: Exploring the influence of weather data, cost parameters and policy constraints
  2018 Energy, volume: 163, pages: 100 - 114
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  Abstract

  Cost optimal scenarios derived from models of a highly renewable electricity system depend on the specific input data, cost assumptions and system constraints. Here this influence is studied using a techno-economic optimisation model for a networked system of 30 European countries, taking into account the capacity investment and operation of wind, solar, hydroelectricity, natural gas power gen- eration, transmission, and different storage options. A considerable robustness of total system costs to the input weather data and to moderate changes in the cost assumptions is observed. Flat directions in the optimisation landscape around cost-optimal configurations often allow system planners to choose between different technology options without a significant increase in total costs, for instance by replacing onshore with offshore wind power capacity in case of public acceptance issues. Exploring a range of carbon dioxide emission limits shows that for scenarios with moderate transmission expansion, a reduction of around 57% compared to 1990 levels is already cost optimal. For stricter carbon dioxide limits, power generated from gas turbines is at first replaced by generation from increasing renewable capacities. Non-hydro storage capacities are only built for low-emission scenarios, in order to provide the necessary flexibility to meet peaks in the residual load.
  
  
   
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• Hörsch J, Schäfer M, Becker S, Schramm S, Greiner M
  Flow tracing as a tool set for the analysis of networked large-scale renewable electricity systems
  2018 Int J Elec Power, volume: 96, pages: 390 - 397
  » show abstract« hide abstract
  Abstract

  The method of flow tracing follows the power flow from net-generating sources through the network to the net-consuming sinks, which allows to assign the usage of the underlying transmission infrastructure to the system participants. This article presents a reformulation that is applicable to arbitrary compositions of inflow appearing naturally in models of large-scale electricity systems with a high share of renewable power generation. We propose an application which allows to associate power flows on the grid to specific regions or generation technologies, and emphasizes the capability of this technique to disentangle the spatio-temporal patterns of physical imports and exports occurring in such systems. The analytical potential of this method is showcased for a scenario based on the IEEE 118 bus network.
• Tranberg B, Schäfer M, Brown T, Hörsch J, Greiner M
  Flow-based analysis of storage usage in a low-carbon European electricity scenario
  2018 15th International Conference on the European Energy Market (EEM), 2018
  
   
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• Tranberg B, Schwenk-Nebbe LJ, Schäfer M, Hörsch J, Greiner M
  Flow-based nodal cost allocation in a heterogeneous highly renewable European electricity network
  2018 Energy, volume: 150, pages: 122 - 133
  » show abstract« hide abstract
  Abstract

  For a cost efficient design of a future renewable European electricity system, the placement of renewable generation capacity will seek to exploit locations with good resource quality, that is for instance onshore wind in countries bordering the North Sea and solar PV in South European countries. Regions with less favorable renewable generation conditions benefit from this remote capacity by importing the respective electricity as power flows through the transmission grid. The resulting intricate pattern of imports and exports represents a challenge for the analysis of system costs on the level of individual countries. Using a tracing technique, we introduce flow-based nodal levelized costs of electricity (LCOE) which allow to incorporate capital and operational costs associated with the usage of generation capacity located outside the respective country under consideration. This concept and a complementary allocation of transmission infrastructure costs is applied to a simplified model of an interconnected highly renewable European electricity system. We observe that cooperation between the European countries in a heterogeneous system layout does not only reduce the system-wide LCOE, but also the flow-based nodal LCOEs for every country individually.
• Hofmann F, Schäfer M, Brown T, Hörsch J, Schramm S, Greiner M
  Principal Flow Patterns across renewable electricity networks
  Epl-europhys Lett, volume: 124, page: 18005, 2018

2017

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• Schäfer M, Schwenk-Nebbe LJ, Hörsch J, Tranberg B, Greiner M
  Allocation of nodal costs in heterogeneous highly renewable European electricity networks
  2017 14th International Conference on the European Energy Market (EEM), 2017, pages: 1 - 6
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  Abstract

  We consider a simplified model of a future European electricity network with a high share of renewable generation. In a cost optimal design of such a system, most of the renewable generation capacity is placed at locations with favorable weather conditions, that is for instance onshore wind in countries bordering the North Sea and solar PV in South European countries. Countries with less favorable renewable generation conditions benefit from this capacity by importing the respective electricity as power flows through the transmission grid. Using flow tracing techniques, we disentangle the emerging pattern of imports and exports and assign shares of the distributed generation capacity in the European system to the countries which actually make use of them. This procedure yields nodal levelized costs, which incorporate both internal and external generation costs associated with the electricity consumption in a country.
• Schäfer M, Tranberg B, Hempel S, Schramm S, Greiner M
  Decompositions of injection patterns for nodal flow allocation in renewable electricity networks
  2017 Eur Phys J B, volume: 90, page: 144
  » show abstract« hide abstract
  Abstract

  The large-scale integration of fluctuating renewable power generation represents a challenge to the technical and economical design of a sustainable future electricity system. In this context, the increasing significance of long-range power transmission calls for innovative methods to understand the emerging complex flow patterns and to integrate price signals about the respective infrastructure needs into the energy market design. We introduce a decomposition method of injection patterns. Contrary to standard flow tracing approaches, it provides nodal allocations of link flows and costs in electricity networks by decomposing the network injection pattern into market-inspired elementary import/export building blocks. We apply the new approach to a simplified data-driven model of a European electricity grid with a high share of renewable wind and solar power generation.
• Künzel T, Klumpp F, Weidlich A
  Methodische Quantifizierung der Bereitstellungskosten flexibler Systemkomponenten im deutschen Stromsystem
  2017 Zeitschrift für Energiewirtschaft, volume: 41, issue: 1, pages: 33 - 55
• Künzel T, Klumpp F, Weidlich A
  Modellgestützte Analyse der Bereitstellung von Flexibilität auf dem Strom- und Regelleistungsmarkt in Deutschland
  2017 Optimierung in der Energiewirtschaft VDI-Berichte, volume: 2303, pages: 31 - 46
  
   
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• Schramm S, Schäfer M
  New Horizons in Fundamental Physics
  2017 Springer International Publishing
• Schäfer M, Hempel S, Tranberg B, Hörsch J, Schramm S, Greiner M
  Power Flow Tracing in Complex Networks
  In: New Horizons in Fundamental Physics
  2017, Springer International Publishing, pages: 357 - 373,
  » show abstract« hide abstract
  Abstract

  The increasing share of decentralized renewable power generation represents a challenge to the current and future energy system. Providing a geographical smoothing effect, long-range power transmission plays a key role for the system integration of these fluctuating resources. However, the build-up and operation of the necessary network infrastructure incur costs which have to be allocated to the users of the system. Flow tracing techniques, which attribute the power flow on a transmission line to the geographical location of its generation and consumption, represent a valuable tool set to design fair usage and thus cost allocation schemes for transmission investments. In this article, we introduce a general formulation of the flow tracing method and apply it to a simplified model of a highly renewable European electricity system. We review a statistical usage measure which allows to integrate network usage information for longer time series, and illustrate this measure using an analytical test case.
• Schäfer M, Bugge Siggaard S, Zhu K, Risager Poulsen C, Greiner M
  Scaling of transmission capacities in coarse-grained renewable electricity networks
  2017 Epl-europhys Lett, volume: 119, page: 38004
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  Abstract

  Network models of large-scale electricity systems feature only a limited spatial resolution, either due to lack of data or in order to reduce the complexity of the problem with respect to numerical calculations. In such cases, both the network topology, the load and the generation patterns below a given spatial scale are aggregated into representative nodes. This coarse-graining affects power flows and thus the resulting transmission needs of the system. We derive analytical scaling laws for measures of network transmission capacity and cost in coarse-grained renewable electricity networks. For the cost measure only a very weak scaling with the spatial resolution of the system is found. The analytical results are shown to describe the scaling of the transmission infrastructure measures for a simplified, but data-driven and spatially detailed model of the European electricity system with a high share of fluctuating renewable generation.

2016

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• Weidlich A, Schmidt M
  C/sells – ein Schaufenster in die zukünftige Energieversorgung
  Campus Magazin der Hochschule Offenburg, volume: 40, pages: 36 - 37, 2016
• Künzel T, Klumpp F, Weidlich A, Stuible A
  Flexibility Options for Integrating Renewable Energy and Grid Stability
  2016 10th International Renewable Energy Storage Conference IRES, Düsseldorf
• Künzel T, Weidlich A
  Methodik zur Quantifizierung der Grenzkosten flexibler Systemkomponenten
  2016 3. Konferenz Zukünftige Stromnetze für Erneuerbare Energien, Berlin , pages: 110 - 114
• Bolivar Jaramillo L, Weidlich A
  Optimal microgrid scheduling with peak load reduction involving an electrolyzer and flexible loads
  2016 Applied Energy, volume: 169, pages: 857 - 865
  
   
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• Papadopoulos D
  The environmental footprint in units of carbon dioxide: The Municipality of Pefkon Thessalonikis paradigm, In Proceedings of the 4th Panhellenic Conference in Environmental Economics
  2016
  
   
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2015

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• Weidlich A
  Nachhaltige Energiewirtschaft
  Studienbrief im Kontaktstudium Energiewirtschaft, Zentrum für Mediales Lernen, Karlsruher Institut für Technologie, 2015
• Tranberg B, Thomsen AB, Rodriguez RA, Andresen GB, Schäfer M, Greiner M
  Power flow tracing in a simplified highly renewable European electricity network
  2015 New J Phys, volume: 17, page: 105002
  » show abstract« hide abstract
  Abstract

  The increasing transmission capacity needs in a future energy system raise the question of how associated costs should be allocated to the users of a strengthened power grid. In contrast to straightforward oversimplified methods, a flow tracing based approach provides a fair and consistent nodal usage and thus cost assignment of transmission investments. This technique follows the power flow through the network and assigns the link capacity usage to the respective sources or sinks using a diffusion-like process, thus taking into account the underlying network structure and injection pattern. As a showcase, we apply power flow tracing to a simplified model of the European electricity grid with a high share of renewable wind and solar power generation, based on long-term weather and load data with an hourly temporal resolution.
• Weidlich A, Hochberg U, Bessler W
  Power-to-Gas optimiert einsetzen
  Forschung im Fokus, pages: 124 - 125, 2015
• Weidlich A, Denne, B
  Projekt "Nachhaltige Hochschule"
  Campus Magazin der Hochschule Offenburg, volume: 39, pages: 12 - 13, 2015
• Künzel T, Weidlich A
  ÖkoFlex - Flexibility as an economic commodity in the intelligent energy system for the efficient integration of renewable energies
  2015 Science Technology Conference, Karlsruhe

2014

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• Appelrath HJ, Brunekreeft G, Weidlich A, Wissing C, Mayer C, Ochsenbrügge A, Schnabel SC, Tröschel M
  Future Energy Markets – Mehr Markt für eine effiziente Energiewende
  acatech Materialien, 2014
• Dimeas A, Drenkard S, Hatziargyriou N, Karnouskos S, Kok K, Ringelstein J, Weidlich A
  Smart Houses in the Smart Grid: Developing an interactive network.
  2014 IEEE Electrification Magazine, volume: 2, issue: 1, pages: 81 - 93

2013

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• Weidlich A, Renelt S, Schmidt P, Sobótka M, Storace S
  Gesellschaftliche Akzeptanz von Smart Metering: Nicht ohne meine Kunden
  2013 Energiewirtschaftliche Tagesfragen, volume: 63, pages: 93 - 96
• Briegel F, van Dinther C, Jahn B, Weidlich A, Terzidis O
  Impulse für eine smarte Energiewende - Handlungsempfehlungen für ein IKT-gestütztes Stromnetz der Zukunft
  Bundesverband der Deutschen Industrie, 2013
• Roost J, Wendt G, Weidlich A
  Preissensitivität und Kundenbindung im Strommarkt: Auf den Vertriebskanal kommt es an
  2013 Energiewirtschaftliche Tagesfragen, volume: 63, issue: 10, pages: 8 - 12

2012

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• Weidlich A
  Challenges for the Market Integration of Renewables with Smart Grids
  2012 IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference, Berlin
• Weidlich A, Vogt H, Krauss W, Spiess P, Jawurek M, Johns M, Karnouskos S
  Decentralized intelligence in energy efficient power systems
  In: Handbook of Networks in Power Systems I
  2012, Handbook of Networks in Power Systems I, pages: 467 - 486,
• Springer-Verlag
  Future Energy Grid: Migrationspfade ins Internet der Energie
  Dänekas C, König A, Mayer C, Rohjans S, Bischoff S, Breuer A, Drzisga T, Hecht J, Holtermann M, Luhmann T, Maerten M, Stadler M, Terzidis O, Plöger W, Theisen T, Wortmann F, Weidlich A, Weinmann J, Winter R, Wissing C
• Weidlich A, Boy B, Ermakov V, Renelt R, Schmidt P, Sauer M, Sobótka M, Storace S, Wiedemann W
  Smart zur Energiewende - fünf Schlüssel zur gesellschaftlichen Akzeptanz von Smart Grids
  Policy Brief, stiftung neue verantwortung, 2012
• Mayer C, Dänekas C, Rohjans S, Breuer A, Theisen T, Drzisga T, König A, Luhmann T, Stadler M, Maerten M, Weidlich A
  Technologische Migrationspfade in das Smart Grid
  2012 VDE Kongress
• Weidlich A
  Vom dienenden zum intelligenten Stromnetz
  Gastbeitrag im Blog der 100 prozent erneuerbar stiftung, 2012
• Weidlich A
  Wer viel nutzt, muss viel zahlen
  ZEIT-Online, 2012

2011

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• Jötten G, Weidlich A, Filipova-Neumann L, Schuller A
  Assessment of flexible demand response business cases in the smart grid
  2011 Proceedings of the 21st International Conference on Electricity Distribution CIRED, Frankfurt
• Adam R, Böse C, Bomarius F, Bretschneider P, Briegel B, van Dinther C, Drzisga T, Fey B, Flath C, Frey H, Jeutter P, Kern C, Muhs M, Onken H, Praehauser G, Rogg K, Schönberg I, Schumann D, Terzidis O, Wedler M, Weidlich A, Weinhardt C
  Auf dem Weg zum Internet der Energie - Der Wettbewerb allein wird es nicht richten; Smart Grid - Paradigmenwechsel in Deutschland
  Bundesverband der Deutschen Industrie, 2011
• Hatziargyriou N, Dimeas A, Tomtsi T, Weidlich A
  Energy Efficient Computing and Networking
  2011 Springer
• Various
  Energy-Efficient Computing and Networking: First International Conference, E-Energy 2010, Athens, Revised Selected Papers
  2011 Springer
• Kok K, Karnouskos S, Ringelstein J, Dimeas A, Weidlich A, Warmer C, Drenkard S, Hatziargyriou N, Lioliou V
  Field-testing smart houses for a smart grid
  2011 21st International Conference and Exhibition on Electricity Distribution CIRED, Frankfurt, Germany, pages: 6 - 9
• Karnouskos S, Weidlich A, Ringelstein J, Dimeas A, Kok K, Warmer C, Selzam, Patrick, Drenkard, Stefan, Hatziargyriou, Nikos, Lioliou, Vally
  Monitoring and control for energy efficiency in the smart house
  In: Energy Efficient Computing and Networking, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 54(3)
  2011, Springer, pages: 197 - 207,
• Kok K, Warmer C, Karnouskos S, Weidlich A, Ringelstein J
  Testes de casas inteligentes para implementação de smart grid
  2011 Eletricidade Moderna, pages: 48 - 57

2010

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• Walther S, Markovic I, Schuller A, Weidlich A
  Classification of business models in the e-mobility domain
  2010 Proceedings of 2nd European Conference Smart Grids and EMobility, pages: 20 - 21
• Karnouskos S, Weidlich A, Kok K, Warmer C, Ringelstein J, Selzam P, Dimeas A, Drenkard S
  Field trials towards integrating smart houses with the smart grid
  2010 International Conference on Energy-Efficient Computing and Networking, Athens, Greece, pages: 114 - 123
• Thomas I, Weidlich A, Johns M
  IT-Gestützte Geschaftsprozesse in zukünftigen E-Mobility Szenarien
  2010 VDE-Kongress 2010

2009

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• Warmer C, Kok K, Karnouskos S, Weidlich A, Nestle D, Selzam P, Ringelstein J, Dimeas A, Drenkard S
  Web services for integration of smart houses in the smart grid
  2009 Denver Grid-Interop Forum, pages: 207 - 211
  
   
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• Veit D, Weidlich A, Krafft J
  An agent-based analysis of the German electricity market with transmission capacity constraints
  2009 Energy Policy, volume: 37, issue: 10, pages: 4132 - 4144
• Weidlich A, Karnouskos S, Kok K, Warmer C
  Integrating smart houses with the smart grid through web services for increasing energy efficiency
  2009 10th IAEE European Conference, Vienna, Austria
• Kok K, Karnouskos S, Nestle D, Dimeas A, Weidlich A, Warmer C, Strauss P, Buchholz B, Drenkard S, Hatziargyriou N
  Smart houses for a smart grid
  2009 20th International Conference and Exhibition on Electricity Distribution CIRED, pages: 1 - 4
• Weidlich A, Vogt H, Karnouskos S
  Wenn der Windpark mit der Waschmaschine redet
  2009 Wirtschaftsinformatik und Management, volume: 1, pages: 30 - 34

2008

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• Weidlich A, Veit D
  A critical survey of agent-based wholesale electricity market models
  2008 Energy Economics, volume: 30, pages: 1728 - 1759
  
   
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• Weidlich A, Veit D
  Agent-based modeling of oligopolistic competition in the German electricity market
  2008 Universitätsverlag Karlsruhe, pages: 3 - 13
• Weidlich A, Veit D
  Agent-based simulations for electricity market regulation advice: procedures and an example
  2008 Jahrbücher für Nationalökonomie und Statistik, volume: 228, issue: 2+3, pages: 149 - 172
• Weidlich A, Veit D
  Analyzing interrelated markets in the electricity sector -- The case of wholesale power trading in Germany
  2008 IEEE Power and Energy Society General Meeting, Pittsburgh, pages: 1 - 8
  
   
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• Physica-Verlag Springer, page: 174
  Engineering interrelated electricity markets: an agent-based computational approach
  Weidlich A
• Block C, Bomarius F, Bretschneider P, Briegel F, Burger N, Fey B, Frey H, Hartmann J, Kern C, Plail B, Praehauser G, Schetters L, Schöpf F, Schumann D, Schwammberger F, Terzidis O, Thiemann R, van Dinther C, von Sengbusch K, Weidlich A, Weinhardt C
  Internet der Energie-IKT für Energiemärkte der Zukunft
  BDI-Drucksache, 2008
• Weidlich A, Veit D
  PowerACE: Ein agentenbasiertes Tool zur Simulation von Strom- und Emissionsmärkten
  2008 IT in der Energiewirtschaft: Track Proceedings der MKWI 2008, page: 15
• Heide D, Schäfer M, Greiner M
  Robustness of networks against fluctuation-induced cascading failures.
  2008 Phys Rev E, volume: 77, issue: 5 Pt 2, pages: 056103 - 056103
  » show abstract« hide abstract
  Abstract

  Fluctuating fluxes on a complex network lead to load fluctuations at the vertices, which may cause them to become overloaded and to induce a cascading failure. A characterization of the one-point load fluctuations is presented, revealing their dependence on the nature of the flux fluctuations and on the underlying network structure. Based on these findings, an alternate robustness layout of the network is proposed. Taking load correlations between the vertices into account, an analytical prediction of the probability for the network to remain fully efficient is confirmed by simulations. Compared to previously proposed mean-flux layouts, the alternate layout comes with significantly less investment costs in the high-confidence limit.
• Weidlich A, Sensfuß F, Genoese M, Veit D
  Studying the effects of CO2 emissions trading on the electricity market: A multi-agent-based approach
  In: Emissions Trading - Institutional Design, Decision Making and Corporate Strategies
  2008, Physica-Verlag Springer, pages: 91 - 101,

2007

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• Veit D, Weidlich A
  Preissegmentierung im deutschen Strommarkt -- Ein interaktives Pricing-Konzept im Retail-Markt
  In: Interactive Marketing im Web 2.0+
  2007, Vahlen, pages: 165 - 180,

2006

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• Weidlich A, Veit D
  Bidding in Interrelated Day-Ahead Electricity Markets --Insights from an Agent-Based Simulation Model
  2006 Proceedings of the 29th IAEE international conference, Potsdam
• Cames M, Weidlich A
  Emissions trading and innovation in the German electricity industry -- Impact of possible design options for an emissions trading scheme on innovation strategies in the German electricity industry
  2006 Springer Science and Business Media, pages: 39 - 51
• Schäfer M, Scholz J, Greiner M
  Proactive robustness control of heterogeneously loaded networks.
  2006 Phys Rev Lett, volume: 96, issue: 10, page: 108701
  » show abstract« hide abstract
  Abstract

  A proactive measure to increase the robustness of heterogeneously loaded networks against cascades of overload failures is proposed. It is based on load-dependent weights. Compared to simple hop weights, respective shortest flow paths turn a previously heterogeneous load distribution into a more homogeneous one for the nodes and links of the network. The use of these flow paths increases the networks robustness and at the same time reduces the investment costs into the networks capacity layout. These findings are of relevance for critical infrastructures like communication and transportation networks.
• Veit D, Weidlich A, Yao J, Oren S
  Simulating the dynamics in two-settlement electricity markets via an agent-based approach
  2006 International Journal of Management Science and Engineering Management, volume: 1, pages: 83 - 97

2005

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• Genoese M, Sensfuß F, Weidlich A, Möst D, Rentz O
  Development of an agent-based model to analyse the effect of renewable energy on electricity markets
  2005 Proceedings of the 19th Conference Informatics for Environmental Protection EnviroInfo, Brno
  
   
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• Veit D, Weidlich A
  Softwareagenten simulieren Handel mit Emissionszertifikaten
  2005 Dow Jones TradeNews Emissions, volume: 10, pages: 10 - 11
• Weidlich A
  Testing market designs for balancing power markets with agent-based simulation
  2005 Berlin Proceedings of the 4th Conference on Applied Infrastructure Research

2003

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• Weidlich A, Manolakaki E, Ciampa F
  Courses and Trainings in Europe – In the field of sustainable energy
  Comité de Liaison Energies Renouvelables, Montreuil, 2003