{"title":"Determination of Optimal Battery and Renewable Capacity Investment for Hybrid Energy Storage Systems","authors":"N. Şensoy","doi":"10.1109/EEM58374.2023.10161927","DOIUrl":"https://doi.org/10.1109/EEM58374.2023.10161927","url":null,"abstract":"Hybrid Energy Storage Systems (HESS) that combine renewable power sources with battery storage have gained increasing attention as a means of providing reliable and cost-effective renewable energy. However, determining the optimal battery, wind and solar capacity investments for these hybrid system remains a significant challenge. This study aims to address this challenge by proposing a comprehensive methodology that combines various factors, such as renewable forecasts, energy prices, investment costs, and battery charging/ discharging patterns, with mixed-integer linear programming model. The objective is to maximise the contribution margin available from the system configuration while matching the technical and financial criteria. The results show that the optimal investment capacity varies according to given scenarios of energy prices, wind conditions and costs. The proposed model can provide valuable insights for policymakers, investors, and energy stakeholders in promoting the development and deployment of HESS. This research also provides solutions for optimizing HESS investments and for optimal operation of battery systems.","PeriodicalId":405707,"journal":{"name":"2023 19th International Conference on the European Energy Market (EEM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123062863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dana Reulein, S. Tiwari, Birk Hestvik, Aleksander Kvannli, D. Pinel, C. Andresen, H. Farahmand
{"title":"Large-scale Offshore Wind Development and Decarbonization Pathways of the Norwegian Energy System","authors":"Dana Reulein, S. Tiwari, Birk Hestvik, Aleksander Kvannli, D. Pinel, C. Andresen, H. Farahmand","doi":"10.1109/EEM58374.2023.10161841","DOIUrl":"https://doi.org/10.1109/EEM58374.2023.10161841","url":null,"abstract":"Modelling of the energy system in the countries surrounding the North Sea is performed with a focus on Norway and offshore wind farms situated in the North Sea. The geographically heterogeneous consumption and production distribution in Norway warrants a disaggregation of the country into separate regions. The ambitious targets set forth by the Norwegian government to license 30 GW of offshore wind generation capacity by 2040 also make the detailed study of the effects of such a large introduction of intermittent renewable energy relevant. We have selected to adhere to the Norwegian power market price zones in our disaggregation, resulting in five regions in Norway. In addition, a separate offshore zone has been added for offshore wind energy generation. This paper studies the resulting optimal capacity expansion and energy dispatch from the energy system model GENeSYS-MOD as a result of a) the disaggregation of Norway into 5 regions b) the introduction of an offshore region for offshore wind generation connected to NO2. The modeled time frame is from 2018 to 2050. The results show that a large introduction of offshore wind capacity results in less capacity expansion of onshore wind and considerably less solar capacity development.","PeriodicalId":405707,"journal":{"name":"2023 19th International Conference on the European Energy Market (EEM)","volume":"121 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120987623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed Bidding Strategy for an Aggregator Valuing Uncertain Prosumers in Energy and Ancillary Service Markets","authors":"Amir Hamidi, M. Bozorg, M. Hamzeh, R. Cherkaoui","doi":"10.1109/EEM58374.2023.10161924","DOIUrl":"https://doi.org/10.1109/EEM58374.2023.10161924","url":null,"abstract":"Aggregators have an influential intermediary role to exploit the flexibility of prosumers like smart homes for procuring the required capacity of ancillary services to support power systems. Local generation and consumption uncertainties of prosumers affect their cost reduction objectives which in turn have a significant impact on the flexibility capacity provided by them. So, towards boosting the operational flexibility capacity in the market, the aggregator’s bidding and remuneration frameworks should devise a valuing scheme of prosumers considering this impact to induce positive incentives relieving capacity uncertainties. This scheme, simultaneously, should observe data privacy concerns. To this end, this paper proposes a day-ahead distributed bidding strategy framework for an aggregator to participate in regulation and energy markets using a new rewarding scheme derived from a flexibility certainty valuing approach. This framework is developed within the Benders decomposition method, in which the aggregator performs valuing of prosumers in the master problem through their implicit information extracted from home energy management systems modeled in the subproblems. The performance of the framework to appropriately reward prosumers is presented through numerical results for an illustrative case study.","PeriodicalId":405707,"journal":{"name":"2023 19th International Conference on the European Energy Market (EEM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127155208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of System Separations for Dimensioning Future Demand of Inertia","authors":"Martin Knechtges, A. Moser","doi":"10.1109/EEM58374.2023.10161760","DOIUrl":"https://doi.org/10.1109/EEM58374.2023.10161760","url":null,"abstract":"The structural change towards power plants distant from the load interfaced to the grid via power electronics (PE) lead to a reduction of available inertia and a higher utilization of the transmission grid. This increases the risk of cascading outages and possible grid separations. In order to be able to manage grid separations and to stabilize the resulting sub-grids additional inertia is needed in the future. Nowadays, based on historical grid separations events the demand of inertia is determined. However, an adequate determination based on historical grid separations might not be sufficient due to the changed load and feed-in situation in the future. By clustering the voltage angles using appropriate clustering algorithms, sub-grids with high power exchanges can be identified for different use cases. Therefore, worst-case estimations regarding the demand of inertia can be made compared to using historical separations.","PeriodicalId":405707,"journal":{"name":"2023 19th International Conference on the European Energy Market (EEM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123741771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oliver Ruhnau, Lukas Lundström, Linus Dürr, Florian Hunecke
{"title":"Empirical weather dependency of heat pump load: Disentangling the effects of heat demand and efficiency","authors":"Oliver Ruhnau, Lukas Lundström, Linus Dürr, Florian Hunecke","doi":"10.1109/EEM58374.2023.10161914","DOIUrl":"https://doi.org/10.1109/EEM58374.2023.10161914","url":null,"abstract":"Decentralized electric heat pumps are an important component in many future energy scenarios. However, their dispatch and efficiency are highly weather-dependent, which is often inadequately considered in the scenarios. This contribution aims to address this shortcoming by analyzing a large-scale empirical dataset of monitored heat pumps from the UK. More specifically, we propose to model heat pump behavior as a function of temperature equivalents, which do not only capture ambient temperature but also wind-driven infiltration and solar heat gains as determinants of heat demand. Based on these temperature equivalents, we derive regression models for the (normalized) heat supply and for the coefficient of performance (COP) of the heat pumps. These models can be used to better disentangle and represent the variability of heat pumps heat pumps in future energy system analyses.","PeriodicalId":405707,"journal":{"name":"2023 19th International Conference on the European Energy Market (EEM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125368853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Facilitating Energy Transition in Borsod County: Current Situation and Possible Transition Pathways","authors":"Mohammad Jaber","doi":"10.1109/EEM58374.2023.10161851","DOIUrl":"https://doi.org/10.1109/EEM58374.2023.10161851","url":null,"abstract":"In recent years, the transition towards a more sustainable energy system has become the center of the global community focus. This paper examines the current energy situation in Borsod-Abaúj-Zemplén county in Northern Hungary. The Gini index is calculated on residential gas and electricity consumption for the sixteen districts in the county. Furthermore, energy consumption trends are analyzed, and the differences based on income are highlighted. Results indicate that although the county’s population has declined through the past years, the electricity consumption trend is slightly inclining. In contrast, gas consumption patterns are declining. Gini index results indicated that energy inequality has varied throughout the years. Districts with high industrial activities show more energy consumption and income than poorer districts, where the consumption varies between low and high. To facilitate energy transition in the region, further analysis is needed to understand better energy poverty and the possible local renewable energy resources.","PeriodicalId":405707,"journal":{"name":"2023 19th International Conference on the European Energy Market (EEM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125387659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christina Speck, Saskia Bluhm, Christof Weinhardt, Philipp Zwickel, V. Hagenmeyer
{"title":"The Impact of Local Energy Market Participants’ Decisions on Efficient Energy Usage: Design of a Multi-Agent System","authors":"Christina Speck, Saskia Bluhm, Christof Weinhardt, Philipp Zwickel, V. Hagenmeyer","doi":"10.1109/EEM58374.2023.10161771","DOIUrl":"https://doi.org/10.1109/EEM58374.2023.10161771","url":null,"abstract":"In recent years, many studies have been conducted on local energy markets. While local energy markets are mostly modeled with economically rational participants, many house- holds also consider energy quality, such as energy locality, in their energy choices. Therefore, we propose to include participants’ heterogeneous preferences from energy locality to economic rationality in the design of a multi-agent system to ensure a more efficient use of locally generated energy, which helps to increase the attractiveness of participating in local energy markets. Our results show that our design can fulfill the individual preferences of local energy market participants and prove that energy is used most efficiently with a dominant local preference group.","PeriodicalId":405707,"journal":{"name":"2023 19th International Conference on the European Energy Market (EEM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122699454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Kondziella, Nancy Retzlaff, T. Bruckner, T. Mielich, Christian Haase
{"title":"Economic potential of demand side management based on smart metering of youth hostels in Germany","authors":"H. Kondziella, Nancy Retzlaff, T. Bruckner, T. Mielich, Christian Haase","doi":"10.1109/EEM58374.2023.10161694","DOIUrl":"https://doi.org/10.1109/EEM58374.2023.10161694","url":null,"abstract":"Additional electricity meters behind the grid access point can improve understanding of energy consumption patterns and thus, adjust consumption behavior. For this study, smart meters were installed in three hostels, out of which two are analyzed further in this paper. Starting from an onsite inspection, all appliances were assigned to reasonable groups for submetering. Based on data for the year 2021, the sites are characterized according to the sub-metering concept. In addition, load profiles for type-days are derived, which allows to establish a baseload during COVID lockdown and compare it to consumption patterns for normal occupation. In the prescriptive part, the demand profiles are analyzed regarding their economic potential for load shifting. Consumption data for one week with normal occupation is used as input for techno-economic modeling. The mixed-integer model minimizes electricity purchasing costs for different scenarios including dynamic tariffs and onsite generation from photovoltaics.","PeriodicalId":405707,"journal":{"name":"2023 19th International Conference on the European Energy Market (EEM)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122464415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Magnus A. Wendelborg, S. Backe, P. C. del Granado, P. Seifert
{"title":"Consequences of Uncertainty from Intraday Operations to a Capacity Expansion Model of the European Power System","authors":"Magnus A. Wendelborg, S. Backe, P. C. del Granado, P. Seifert","doi":"10.1109/EEM58374.2023.10161966","DOIUrl":"https://doi.org/10.1109/EEM58374.2023.10161966","url":null,"abstract":"The European Energy Transition envisions a high deployment of variable renewable energy sources (VRES) by 2050. Some estimates expect that 60-to-70% of power generation will be entirely covered by VRES technologies (i.e., solar and wind). This creates challenges for balancing VRES with conventional, flexible generation (e.g., gas and storage). Consequently, VRES are transforming how electricity markets will operate and how balancing needs between day-ahead (DA) and intraday (ID) electricity markets are coordinated. The importance of the ID market increases due to the uncertain short-term nature of VRES. However, there is limited research on how forecasting errors in between market stages affect investment decisions in capacity expansion problems. In this paper, we investigate how an increased amount of uncertainty from forecasting errors between a DA and an ID market affects investment decisions in the power system. We have developed a multi-horizon stochastic capacity expansion model containing both DA and ID markets under uncertainty. The model emulates the European power system developments under given emission targets of EU policies towards 2050. In the comparison of the standard single market approach to the market sequencing, the results indicate: 1.) Forecasting errors significantly impact investment decisions, resulting in 10% lower VRES investments and 40% higher flexible capacity investments, 2.) Cross-border transmission is a crucial contributor to flexibility and volume increases by 10-20% when accounting for forecasting errors, 3.) investment needs for storage capacity decrease significantly compared to an over-valuation in the standard method of capacity expansion models.","PeriodicalId":405707,"journal":{"name":"2023 19th International Conference on the European Energy Market (EEM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116479474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interaction of Flexible Demands with Battery Storage Systems in Distribution Grids","authors":"Michael Haendel","doi":"10.1109/EEM58374.2023.10161850","DOIUrl":"https://doi.org/10.1109/EEM58374.2023.10161850","url":null,"abstract":"The energy transition causes fundamental changes in distribution networks. In addition to increased decentralized generation, ongoing electrification introduces new demands at the local level. The integration of these loads is a major challenge for the distribution network. For stable operation, it is unclear whether existing flexibilities are sufficient or whether grid expansion is necessary. Flexible demands alone do not seem to be sufficient to prevent critical grid situations caused by photovoltaic (PV) feed-in. Therefore, this paper investigates whether the addition of battery storage systems (BSSs) can lead to an improvement. For this purpose, BSSs are integrated into a coupled control system for flexible consumers, which considers both market-side and grid-side incentives simultaneously using a receding horizon approach. A case study investigates the impact of decentralized and centralized BSSs compared to a system without BSSs. The results show that decentralized distribution of BSSs is not necessarily required to better integrate PV feed-in. However, the integration in general requires large BSS capacities, whose economic operation is questionable compared to the regulation of PV systems directly.","PeriodicalId":405707,"journal":{"name":"2023 19th International Conference on the European Energy Market (EEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116509754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}