scholarly journals Engineering Energy Markets: The Past, the Present, and the Future

2021 ◽  
pp. 113-134
Author(s):  
Clemens van Dinther ◽  
Christoph M. Flath ◽  
Johannes Gaerttner ◽  
Julian Huber ◽  
Esther Mengelkamp ◽  
...  
Keyword(s):  
Energy Supply ◽  
Energy Transition ◽  
Energy System ◽  
Congestion Management ◽  
Energy Markets ◽  
Local Energy ◽  
Energy Trading ◽  
Good Market ◽  
Efficient Resource ◽  
Market Engineering

AbstractSince the beginning of the 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 toward a more sustainable energy supply for all. In this chapter, we retrace how market engineering shaped the development of energy markets and how the research focus shifted from national wholesale markets to more decentralized and location-sensitive concepts.

scholarly journals Reinforcement learning in local energy markets

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Samrat Bose ◽  
Enrique Kremers ◽  
Esther Marie Mengelkamp ◽  
Jan Eberbach ◽  
Christof Weinhardt
Keyword(s):  
Reinforcement Learning ◽  
Renewable Energy Sources ◽  
Energy Transition ◽  
Energy System ◽  
Energy Markets ◽  
Market Mechanism ◽  
Machine Learning Algorithms ◽  
Local Energy ◽  
Energy Prices ◽  
Strategic Learning

AbstractLocal energy markets (LEMs) are well suited to address the challenges of the European energy transition movement. They incite investments in renewable energy sources (RES), can improve the integration of RES into the energy system, and empower local communities. However, as electricity is a low involvement good, residential households have neither the expertise nor do they want to put in the time and effort to trade themselves on their own on short-term LEMs. Thus, machine learning algorithms are proposed to take over the bidding for households under realistic market information. We simulate a LEM on a 15 min merit-order market mechanism and deploy reinforcement learning as strategic learning for the agents. In a multi-agent simulation of 100 households including PV, micro-cogeneration, and demand shifting appliances, we show how participants in a LEM can achieve a self-sufficiency of up to 30% with trading and 41,4% with trading and demand response (DR) through an installation of only 5kWp PV panels in 45% of the households under affordable energy prices. A sensitivity analysis shows how the results differ according to the share of renewable generation and degree of demand flexibility.

scholarly journals Demonstration of Blockchain Based Peer to Peer Energy Trading System with Real-Life Used PHEV and HEMS Charge Control

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7484
Author(s):  
Yuki Matsuda ◽  
Yuto Yamazaki ◽  
Hiromu Oki ◽  
Yasuhiro Takeda ◽  
Daishi Sagawa ◽  
...  
Keyword(s):  
Supply And Demand ◽  
Real Life ◽  
Energy System ◽  
Energy Markets ◽  
Peer To Peer ◽  
Renewable Energy Resources ◽  
Trading System ◽  
Energy Trading ◽  
Demonstration Experiment ◽  
Home Energy Management

To further implement decentralized renewable energy resources, blockchain based peer-to-peer (P2P) energy trading is gaining attention and its architecture has been proposed with virtual demonstrations. In this paper, to further socially implement this concept, a blockchain based peer to peer energy trading system which could coordinate with energy control hardware was constructed, and a demonstration experiment was conducted. Previous work focused on virtually matching energy supply and demand via blockchain P2P energy markets, and our work pushes this forward by demonstrating the possibility of actual energy flow control. In this demonstration, Plug-in Hybrid Electrical Vehicles(PHEVs) and Home Energy Management Systems(HEMS) actually used in daily life were controlled in coordination with the blockchain system. In construction, the need of a multi-tagged continuous market was found and proposed. In the demonstration experiment, the proposed blockchain market and hardware control interface was proven capable of securing and stably transmitting energy within the P2P energy system. Also, by the implementation of multi-tagged energy markets, the number of transactions required to secure the required amount of electricity was reduced.

scholarly journals Analysis of Long-Term Plan for Energy Supply System for Latvia that is 100% Based on the Use of Local Energy Resources

2010 ◽  
Vol 4 (-1) ◽  
pp. 82-90 ◽  
Author(s):  
Jekaterina Porubova ◽  
Gatis Bazbauers
Keyword(s):  
Energy Supply ◽  
Energy System ◽  
Supply System ◽  
Energy Resources ◽  
Transport Infrastructure ◽  
Local Energy ◽  
Fossil Energy ◽  
Energy Supply System ◽  
Sufficient Energy

Analysis of Long-Term Plan for Energy Supply System for Latvia that is 100% Based on the Use of Local Energy Resources The prices of fossil energy resources are expected to rise substantially in the future, therefore fossil energy resources might not be a feasible energy source for Latvia in the long term. The establishment of a fully self-sufficient energy supply system will require a significant transformation of the existing energy supply and transport infrastructure. Early planning of such a system makes it possible to shape development of the existing energy system in order to achieve that goal of a fully self-sufficient energy supply system. The paper shows a potential solution to establish an energy and transport system solely based on the domestic primary resources by the year 2050.

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

2020 ◽  
Author(s):  
Carlo Schmitt ◽  
Kenneth Samaan ◽  
Henrik Schwaeppe ◽  
Albert Moser
Keyword(s):  
Electricity Market ◽  
Energy System ◽  
Energy Markets ◽  
Computational Effort ◽  
Market Model ◽  
Local Energy ◽  
Wholesale Market ◽  
Bottom Up ◽  
Local Markets ◽  
The Impact

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.

scholarly journals Towards a Joint Local Energy Transition Process in Urban Districts: The GO2Zero Simulation Game

2018 ◽  
Vol 10 (8) ◽  
pp. 2602 ◽  
Author(s):  
Geertje Bekebrede ◽  
Ellen van Bueren ◽  
Ivo Wenzler
Keyword(s):  
Energy Transition ◽  
Transition Process ◽  
Energy System ◽  
Simulation Game ◽  
Future Research ◽  
Local Energy ◽  
Residential Energy ◽  
Simulation Games ◽  
Urban Districts ◽  
Novices And Experts

The depletion of fossil fuel sources for our energy system and the influence on overall CO2 emissions drive the need to more sustainable energy systems. The transition towards a renewable energy system cannot be seen as a purely technical issue; it is strongly embedded within society. In this study, we analyze the stakeholder complexities of the transition in urban districts and research the use of a simulation game to increase the understanding of the complexity of the transition. Surveys and observations were used to collect data about the learning experiences of playing the game GO2Zero. The results show that participants liked to play the game and they considered the game a valid representation of the system. Further, the participants agree that they obtained a better understanding of the complexity of the residential energy system and experienced a variety of challenges in the transition. Simulation games, like GO2Zero, could become valuable instruments in local energy transition processes as they offer a safe environment for novices and experts to jointly experiment with the challenges in this process. These experiences could support the design of the transition process by helping actors to formulate goals and collaborative strategies for achieving those goals. Future research will focus on the use of this game for experimenting with different strategies and instruments and to analyze their effects.

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

2020 ◽  
Author(s):  
Carlo Schmitt ◽  
Kenneth Samaan ◽  
Henrik Schwaeppe ◽  
Albert Moser
Keyword(s):  
Electricity Market ◽  
Energy System ◽  
Energy Markets ◽  
Computational Effort ◽  
Market Model ◽  
Local Energy ◽  
Wholesale Market ◽  
Bottom Up ◽  
Local Markets ◽  
The Impact

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.

scholarly journals Application of a multiagent approach for optimal load distribution between sources in an integrated energy system taking into account the operation of active consumers

2021 ◽  
Vol 289 ◽  
pp. 01010
Author(s):  
Valery Stennikov ◽  
Evgeny Barakhtenko ◽  
Gleb Mayorov
Keyword(s):  
Energy Supply ◽  
Renewable Energy Sources ◽  
Energy Transition ◽  
Energy System ◽  
Distribution Networks ◽  
Energy Sources ◽  
Distributed Energy ◽  
Software Environment ◽  
Generating Capacity ◽  
Integrated Energy System

In the context of the energy transition, research on the creation of integrated energy systems and their control is an actual task. They combine a significant share of renewable energy sources, contribute to the overall efficiency of the system, and enable active consumers to participate in the energy supply process. At the same time, in connection with the growing capacity of distributed energy sources, new problems arise related to the operation of distribution networks and difficulties in adapting the operation of active consumers in the centralized energy system. Active consumers can regulate their energy consumption by distributing the load between centralized and distributed energy sources, and as a result, they can provide flexibility, maneuverability in the operation of the system and increase the efficiency of its redundancy. To organize the work of active consumers in an integrated energy system, a multiagent approach is used. This approach is widely used by researchers to solve various practical tasks. Allows us to represent active consumers in the form of agents with an individual behavior algorithm and organize their interaction with the energy system to ensure optimal energy supply. The proposed mathematical model for finding the optimal composition of generating capacity takes into account the structural organization of centralized and distributed energy sources, as well as the participation of active consumers in the process of energy supply. Modeling of an integrated energy system and carrying out a computational experiment based on multiagent technologies are performed in the AnyLogic software environment.

Regulation of Electricity Storage, Intelligent Grids, and Clean Energies in an Open Market in Mexico

2018 ◽  
Author(s):  
José Juan González Márquez ◽  
Margarita González Brambila
Keyword(s):  
Energy Storage ◽  
Energy Supply ◽  
Carbon Dioxide Emission ◽  
Energy Transition ◽  
Legal Framework ◽  
Open Market ◽  
Innovative Strategy ◽  
Electricity Storage ◽  
Storage Technologies

This chapter analyses the role of electricity storage as an innovative strategy to attain the Mexican Government’s goals regarding carbon dioxide emission reduction and energy transition. The survey includes the analysis of the different electricity storage technologies as well as the legal framework governing electricity storage as the fifth link of the energy supply chain from a comparative perspective. The authors discuss whether energy storage is a generation or a distribution/transmission asset. The chapter also analyses Mexico’s experiences in energy storage and briefly describes the way it is regulated in other jurisdictions. Finally, the authors propose the regulation of energy storage as a separate licensed activity.

scholarly journals Decomposition Analysis of the Evolution of the Local Energy System as a Tool to Assess the Effect of Local Actions: Methodology and Example of Malmö, Sweden

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 461
Author(s):  
Isabel Azevedo ◽  
Vítor Leal
Keyword(s):  
Local Level ◽  
Ghg Emissions ◽  
Decomposition Analysis ◽  
Specific Effect ◽  
Energy System ◽  
Local Energy ◽  
Total Change ◽  
The Impact ◽  
Change Mitigation

This paper proposes the use of decomposition analysis to assess the effect of local energy-related actions towards climate change mitigation, and thus improve policy evaluation and planning at the local level. The assessment of the impact of local actions has been a challenge, even from a strictly technical perspective. This happens because the total change observed is the result of multiple factors influencing local energy-related greenhouse gas (GHG) emissions, many of them not even influenced by local authorities. A methodology was developed, based on a recently developed decomposition model, that disaggregates the total observed changes in the local energy system into multiple causes/effects (including local socio-economic evolution, technology evolution, higher-level governance frame and local actions). The proposed methodology, including the quantification of the specific effect associated with local actions, is demonstrated with the case study of the municipality of Malmö (Sweden) in the timeframe between 1990 and 2015.

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