Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917597
Ma’d El-Dalahmeh, Imran Bashir, M. Al-Greer, M. El‐Dalahmeh
It is critical to accurately predict the remaining capacity of lithium-ion batteries to guarantee safe, reliable operation with minimal maintenance costs. However, because of the complicated and nonlinear characteristics of the battery’s degradation throughout its lifetime, predicting the amount of capacity that will still be available in lithium-ion batteries is a complex process. In addition, the phenomena of capacity regeneration have a significant impact on the accuracy of the remaining capacity projection. For this purpose, the signal decomposition method is becoming a more attractive and promising method for overcoming the difficulty of the capacity regeneration phenomena due to its simplicity and capability to accommodate the nonlinear dynamic behaviour of the lithium-ion battery. Therefore, this paper investigates the performance of three signal decomposition techniques: the discrete wavelet transforms, the empirical mode decomposition, and the variational mode decomposition techniques in analysing the capacity regeneration phenomenon. The nonlinear autoregressive neural network algorithm is developed to predict the trajectory of the future capacity of the battery. The performance of the proposed algorithms is analysed by using two datasets from NASA Ames Research centre and the centre for advanced life cycle engineering (CALCE). The comparison results demonstrate that the variational mode decomposition method combined with the nonlinear autoregressive neural network outperforms other methods with 2.385% RMSE and 1.6% MAE.
{"title":"Lithium-ion Batteries Capacity Degradation Trajectory Prediction Based on Decomposition Techniques and NARX Algorithm","authors":"Ma’d El-Dalahmeh, Imran Bashir, M. Al-Greer, M. El‐Dalahmeh","doi":"10.1109/UPEC55022.2022.9917597","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917597","url":null,"abstract":"It is critical to accurately predict the remaining capacity of lithium-ion batteries to guarantee safe, reliable operation with minimal maintenance costs. However, because of the complicated and nonlinear characteristics of the battery’s degradation throughout its lifetime, predicting the amount of capacity that will still be available in lithium-ion batteries is a complex process. In addition, the phenomena of capacity regeneration have a significant impact on the accuracy of the remaining capacity projection. For this purpose, the signal decomposition method is becoming a more attractive and promising method for overcoming the difficulty of the capacity regeneration phenomena due to its simplicity and capability to accommodate the nonlinear dynamic behaviour of the lithium-ion battery. Therefore, this paper investigates the performance of three signal decomposition techniques: the discrete wavelet transforms, the empirical mode decomposition, and the variational mode decomposition techniques in analysing the capacity regeneration phenomenon. The nonlinear autoregressive neural network algorithm is developed to predict the trajectory of the future capacity of the battery. The performance of the proposed algorithms is analysed by using two datasets from NASA Ames Research centre and the centre for advanced life cycle engineering (CALCE). The comparison results demonstrate that the variational mode decomposition method combined with the nonlinear autoregressive neural network outperforms other methods with 2.385% RMSE and 1.6% MAE.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124676460","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}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917770
Goekhan Demirel, S. D. Jongh, F. Mueller, T. Leibfried
This paper proposes a solution to the state estimation problem in gas networks using the distributed belief propagation (BP) algorithm. Power system identification applications require precise and robust state estimatiors as well as various sensor information. Compared to augmenting the power system with a very large number of sensors, a limited number of sensors and probabilistic graphical models can be used to infer the system state and reduce hardware investments. A novel BP algorithm propagates the pressure quantities at nodes in the gas network based on pressure manometer signals and applies a correction based on the information of neighboring nodes in the fusion step by using additional supporting sensors. Finally, the data fusion algorithm is demonstrated for a 14-node gas distribution network based on real data. This paper presents a novel algorithm aimed at tackling the traditional weighted least squares method to validate the developed novel approach in order to highlight the advantage of the distributed inference algorithm over traditional methods.
{"title":"Data Fusion and State Estimation Using Belief Propagation in Gas Distribution Networks","authors":"Goekhan Demirel, S. D. Jongh, F. Mueller, T. Leibfried","doi":"10.1109/UPEC55022.2022.9917770","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917770","url":null,"abstract":"This paper proposes a solution to the state estimation problem in gas networks using the distributed belief propagation (BP) algorithm. Power system identification applications require precise and robust state estimatiors as well as various sensor information. Compared to augmenting the power system with a very large number of sensors, a limited number of sensors and probabilistic graphical models can be used to infer the system state and reduce hardware investments. A novel BP algorithm propagates the pressure quantities at nodes in the gas network based on pressure manometer signals and applies a correction based on the information of neighboring nodes in the fusion step by using additional supporting sensors. Finally, the data fusion algorithm is demonstrated for a 14-node gas distribution network based on real data. This paper presents a novel algorithm aimed at tackling the traditional weighted least squares method to validate the developed novel approach in order to highlight the advantage of the distributed inference algorithm over traditional methods.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127369239","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}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917594
Mohamed Darwish, M. Rady, M. Abbod, Eydhah Almatrafi, Chun Sing Lai
This paper covers how a successful model of electric vehicles (EV) forecourts in the UK can be implemented into Kingdom of Saudi Arabia (KSA) for supporting research, knowledge, and innovation in emerging EV technologies. The paper also addresses the challenges of implementation of EV technologies via research, training and curriculum development.
{"title":"Forecourt Electric Vehicles Charging Hubs – UK and Saudi Research and Education Collaboration","authors":"Mohamed Darwish, M. Rady, M. Abbod, Eydhah Almatrafi, Chun Sing Lai","doi":"10.1109/UPEC55022.2022.9917594","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917594","url":null,"abstract":"This paper covers how a successful model of electric vehicles (EV) forecourts in the UK can be implemented into Kingdom of Saudi Arabia (KSA) for supporting research, knowledge, and innovation in emerging EV technologies. The paper also addresses the challenges of implementation of EV technologies via research, training and curriculum development.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128282647","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}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917881
N. Rugthaicharoencheep, Papon Ngamprasert, Natchapol Ruangsap, Nawin Rodrueang
This paper presents minimize the customer outage for improved reliability in distribution system with photovoltaic distributed generation. The objective functions to be minimize the customer outage cost. The problem is to reliability improvement of distribution system with distributed generations. The technique employed to solve the outage cost by Tabu search algorithm. An application of the Tabu search algorithm to test system for the case study is a radial distribution system with Roy Billinton Test System (RBTS) bus 2. Numerical results from the tests demonstrate that the optimal placement of distributed generators can be used to promote the reliability of the distribution system.
{"title":"Minimize the Customer Outage for Improved Reliability in Distribution System with Photovoltaic Distributed Generation","authors":"N. Rugthaicharoencheep, Papon Ngamprasert, Natchapol Ruangsap, Nawin Rodrueang","doi":"10.1109/UPEC55022.2022.9917881","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917881","url":null,"abstract":"This paper presents minimize the customer outage for improved reliability in distribution system with photovoltaic distributed generation. The objective functions to be minimize the customer outage cost. The problem is to reliability improvement of distribution system with distributed generations. The technique employed to solve the outage cost by Tabu search algorithm. An application of the Tabu search algorithm to test system for the case study is a radial distribution system with Roy Billinton Test System (RBTS) bus 2. Numerical results from the tests demonstrate that the optimal placement of distributed generators can be used to promote the reliability of the distribution system.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128389562","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}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917592
Lewis Osikibo Tamuno-Ibuomi, R. Ramirez-Iniguez, A. S. Holmes-Smith, G. Bevan
Building Integrated Concentrating Photovoltaic systems have the potential of helping to reduce greenhouse gas emissions and global warming as they can be designed not only to generate electricity but also to improve energy efficiency in buildings. These systems can incorporate static low concentration optics and PV cells within double glazed windows, skylights, and double skin facades. This paper addresses the issue of low packing density of solar concentrators used in low concentrating photovoltaic systems and proposes a novel 3-D hexagonal concentrator which offers 89.4% theoretical packing efficiency, which is 16.2% and 21.8% higher than the theoretical packing efficiencies of the circular and elliptical concentrators respectfully, the alternative 3-D concentrators discussed in this study.
{"title":"Improving the Packing Efficiency of Building Integrated Concentrating Photovoltaic Systems through a Novel Hexagonal Concentrator","authors":"Lewis Osikibo Tamuno-Ibuomi, R. Ramirez-Iniguez, A. S. Holmes-Smith, G. Bevan","doi":"10.1109/UPEC55022.2022.9917592","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917592","url":null,"abstract":"Building Integrated Concentrating Photovoltaic systems have the potential of helping to reduce greenhouse gas emissions and global warming as they can be designed not only to generate electricity but also to improve energy efficiency in buildings. These systems can incorporate static low concentration optics and PV cells within double glazed windows, skylights, and double skin facades. This paper addresses the issue of low packing density of solar concentrators used in low concentrating photovoltaic systems and proposes a novel 3-D hexagonal concentrator which offers 89.4% theoretical packing efficiency, which is 16.2% and 21.8% higher than the theoretical packing efficiencies of the circular and elliptical concentrators respectfully, the alternative 3-D concentrators discussed in this study.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128847782","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}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917944
A. Pfendler, M. Coumont, J. Hanson
The use of a phase-locked loop in grid-forming converter control is controversially discussed, as it implies a time delay to the converter’s response to grid disturbances. In literature, slowing down the PLL dynamics to create a retarded measured voltage and current phasor is discussed to virtually resemble synchronous generators’ inherent inertia. In this case study, the influence of the PLL time constant is investigated in a simple medium-voltage testbench with the standard cascaded control and the direct voltage control concept. The frequency, active power, direct and quadrature current of the converter-based generator are evaluated for different PLL time constants following an active power mismatch. The results show that slowing down the PLL has a small impact on the current and power infeed of both control concepts. However, results of the standard cascaded and the direct voltage control are similar and a general advantage of the slower PLL cannot be concluded in this case study.
{"title":"Impact of the PLL Time Constant in Converter Control on the Dynamic Frequency Support","authors":"A. Pfendler, M. Coumont, J. Hanson","doi":"10.1109/UPEC55022.2022.9917944","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917944","url":null,"abstract":"The use of a phase-locked loop in grid-forming converter control is controversially discussed, as it implies a time delay to the converter’s response to grid disturbances. In literature, slowing down the PLL dynamics to create a retarded measured voltage and current phasor is discussed to virtually resemble synchronous generators’ inherent inertia. In this case study, the influence of the PLL time constant is investigated in a simple medium-voltage testbench with the standard cascaded control and the direct voltage control concept. The frequency, active power, direct and quadrature current of the converter-based generator are evaluated for different PLL time constants following an active power mismatch. The results show that slowing down the PLL has a small impact on the current and power infeed of both control concepts. However, results of the standard cascaded and the direct voltage control are similar and a general advantage of the slower PLL cannot be concluded in this case study.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127585911","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}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917871
M. Böhringer, Achraf Kharrat, J. Hanson, David Petermann, N. Büchau, Christian Hein, Sebastian Baumann, C. Preusche
In this paper, a method is presented to determine community energy storage’s size in residential districts. To identify required storage size, different clusters are formed for households’ storage requirements. Clusters are differing in generation and load size, as well as using heat pumps and/or electric vehicle charging stations. Maximum installed capacity of photovoltaics plays a relevant role in cluster classification as well. Taking corresponding needs from multi-use operation into account, the model is extended accordingly. It becomes clear that relevant for shared storage sizing are the months in spring and autumn. Major drivers during these months are the use of electric heat pumps as well as installed photovoltaic capacity. In contrast, electric vehicle charging stations generally increases storage shares across all months and all clusters. Using storage shares determined for clusters and characteristics, potential for secondary use is determined on two different bases in a second step of the analysis. Results show that during spring and autumn, storage is mostly used by households. By contrast during summer and winter, up to 85% is available for other services. Findings are finally determined using an example of residential district in the region of Darmstadt, South Hesse. The proportion of available flexibility is expected to be high, with a maximum of almost 87 % in the month of December.
{"title":"Dimensioning of Community Energy Storages for Multi-Use Purposes using Households’ Storage Requirements","authors":"M. Böhringer, Achraf Kharrat, J. Hanson, David Petermann, N. Büchau, Christian Hein, Sebastian Baumann, C. Preusche","doi":"10.1109/UPEC55022.2022.9917871","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917871","url":null,"abstract":"In this paper, a method is presented to determine community energy storage’s size in residential districts. To identify required storage size, different clusters are formed for households’ storage requirements. Clusters are differing in generation and load size, as well as using heat pumps and/or electric vehicle charging stations. Maximum installed capacity of photovoltaics plays a relevant role in cluster classification as well. Taking corresponding needs from multi-use operation into account, the model is extended accordingly. It becomes clear that relevant for shared storage sizing are the months in spring and autumn. Major drivers during these months are the use of electric heat pumps as well as installed photovoltaic capacity. In contrast, electric vehicle charging stations generally increases storage shares across all months and all clusters. Using storage shares determined for clusters and characteristics, potential for secondary use is determined on two different bases in a second step of the analysis. Results show that during spring and autumn, storage is mostly used by households. By contrast during summer and winter, up to 85% is available for other services. Findings are finally determined using an example of residential district in the region of Darmstadt, South Hesse. The proportion of available flexibility is expected to be high, with a maximum of almost 87 % in the month of December.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117127876","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}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917793
Muhammad Salman Sikandar, M. Darwish, C. Marouchos
Electrified transportation will minimise greenhouse gas emissions while also lowering gasoline prices. To encourage the adoption of electrified transportation, a variety of charging networks must be established in a user-friendly environment. WEVCS (wireless electric vehicle charging systems) could be a viable alternative technology for charging electric vehicles (EVs) without the need for a plug. The work done in the area of wireless power transfer technology for electric vehicles is described in this paper.
{"title":"Review of Wireless Charging of EV","authors":"Muhammad Salman Sikandar, M. Darwish, C. Marouchos","doi":"10.1109/UPEC55022.2022.9917793","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917793","url":null,"abstract":"Electrified transportation will minimise greenhouse gas emissions while also lowering gasoline prices. To encourage the adoption of electrified transportation, a variety of charging networks must be established in a user-friendly environment. WEVCS (wireless electric vehicle charging systems) could be a viable alternative technology for charging electric vehicles (EVs) without the need for a plug. The work done in the area of wireless power transfer technology for electric vehicles is described in this paper.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132771765","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}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917866
M. Böhringer, Manuel Schwenke, J. Hanson
In this paper, an optimal power flow model for electricity and heat distribution in district networks is demonstrated. The algorithm is based on the AC power-flow equations and solves problems with a time horizon of up to an entire year with the intention to size and operate generation and storage equipment. The interior-point solver PIPS, that allows to include non-linear and linear constraints and variable bounds is used to solve the problem. To decrease computational effort, an algorithm for time series aggregation is introduced, that allows to maintain the seasonal, as well as the hourly characteristics of the time series while significantly reducing the computation time. Besides the electrical network, a district heating network is modelled. This allows various couplings through generation or storage equipment to be integrated into the model. It could be shown, that, with a joint consideration of electricity and heat in the model, a high self-sufficiency of a district energy system can be achieved while at the same time the costs can be lowered. As a side effect, other operating parameters, such as voltage stability, are significantly improved.
{"title":"Modelling Electricity and Heat Supply with Renewable Infeed and Seasonal Storages on a Local Level using Multi-Period Optimal Power Flow","authors":"M. Böhringer, Manuel Schwenke, J. Hanson","doi":"10.1109/UPEC55022.2022.9917866","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917866","url":null,"abstract":"In this paper, an optimal power flow model for electricity and heat distribution in district networks is demonstrated. The algorithm is based on the AC power-flow equations and solves problems with a time horizon of up to an entire year with the intention to size and operate generation and storage equipment. The interior-point solver PIPS, that allows to include non-linear and linear constraints and variable bounds is used to solve the problem. To decrease computational effort, an algorithm for time series aggregation is introduced, that allows to maintain the seasonal, as well as the hourly characteristics of the time series while significantly reducing the computation time. Besides the electrical network, a district heating network is modelled. This allows various couplings through generation or storage equipment to be integrated into the model. It could be shown, that, with a joint consideration of electricity and heat in the model, a high self-sufficiency of a district energy system can be achieved while at the same time the costs can be lowered. As a side effect, other operating parameters, such as voltage stability, are significantly improved.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134150103","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}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917741
Cristian Monsalve, Tilo Hirsch, S. Nicolai, P. Bretschneider
This paper presents several key aspects and results as part of the research project “Evaluation of novel Business Models (BMs) in the electrical supply” financed by the German Ministry of Economy and Energy (BMWi). This paper focuses on presenting some of the results from the technical and economical evaluation of the German electrical infrastructure when multiple BMs are implemented by multiple actors of the whole energy system. The motivation of this paper is to demonstrate the contribution of implementing some BMs to the sustainability and controllability of the energy distribution system by assessing some technical indicators such as changes in peak load and availability of load shifting potential in Germany and determining the effects of these BMs.
{"title":"Benefits and Threat of Business Models in the German Electrical Systems","authors":"Cristian Monsalve, Tilo Hirsch, S. Nicolai, P. Bretschneider","doi":"10.1109/UPEC55022.2022.9917741","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917741","url":null,"abstract":"This paper presents several key aspects and results as part of the research project “Evaluation of novel Business Models (BMs) in the electrical supply” financed by the German Ministry of Economy and Energy (BMWi). This paper focuses on presenting some of the results from the technical and economical evaluation of the German electrical infrastructure when multiple BMs are implemented by multiple actors of the whole energy system. The motivation of this paper is to demonstrate the contribution of implementing some BMs to the sustainability and controllability of the energy distribution system by assessing some technical indicators such as changes in peak load and availability of load shifting potential in Germany and determining the effects of these BMs.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131154260","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}
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