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Het elektriciteitsnet raakt vol en de gevolgen van deze netcongestie worden steeds beter voelbaar in Nederland. Het leidt ertoe dat op sommige plekken niet of nauwelijks nieuwe huizen gebouwd kunnen worden. Bovendien zijn er inmiddels bijna 10.000 (!) bedrijven en organisaties die wachten op een stroomaansluiting. Kortom, de netcongestie is een urgent en groeiend probleem dat landelijk én in onze regio niet op korte termijn op te lossen is. Het is één van de uitdagingen die de transitie naar een duurzaamenergiesysteem met zich meebrengt. Het lectoraat Balanced Energy Systems (BES) van de HAN onderzoekt en verbeterttijdens de energietransitie de duurzaamheid, betrouwbaarheid en betaalbaarheid van de energiesystemen.
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Python software for lumped-element thermal building model with installations and control
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The electricity grid is reaching full capacity, and the effects of this grid congestion are becoming increasingly noticeable in the Netherlands. As a result, in some places it is difficult, if not impossible, to build new houses. What’s more, there are now almost 10,000 (!) businesses and organizations waiting to be connected to the grid. In short, grid congestion is an urgent and growing problem that cannot be solved in the short term, either regionally or nationally. Grid congestion is one of the challenges posed by the transition to a sustainable energy system. HAN's Research Center for Balanced Energy Systems (BES) investigates and improves the sustainability, reliability and affordability of energy systems during the energy transition.
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This project aims to contribute to a food resilient society and a healthy environment. Specifically, the research focuses on fostering water-smart and nature-inclusive food resilience through local participation.
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Battery energy storage (BES) can provide many grid services, such as power flow management to reduce distribution grid overloading. It is desirable to minimise BES storage capacities to reduce investment costs. However, it is not always clear how battery sizing is affected by battery siting and power flow simultaneity (PFS). This paper describes a method to compare the battery capacity required to provide grid services for different battery siting configurations and variable PFSs. The method was implemented by modelling a standard test grid with artificial power flow patterns and different battery siting configurations. The storage capacity of each configuration was minimised to determine how these variables affect the minimum storage capacity required to maintain power flows below a given threshold. In this case, a battery located at the transformer required 10–20% more capacity than a battery located centrally on the grid, or several batteries distributed throughout the grid, depending on PFS. The differences in capacity requirements were largely attributed to the ability of a BES configuration to mitigate network losses. The method presented in this paper can be used to compare BES capacity requirements for different battery siting configurations, power flow patterns, grid services, and grid characteristics.
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To reduce greenhouse gas emissions, countries around the world are pursuing electrification policies. In residential areas, electrification will increase electricity supply and demand, which is expected to increase grid congestion at a faster rate than grids can be reinforced. Battery energy storage (BES) has the potential to reduce grid congestion and defer grid reinforcement, thus supporting the energy transition. But, BES could equally exacerbate grid congestion. This leads to the question: What are the trade-offs between different battery control strategies, considering battery performance and battery grid impacts? This paper addresses this question using the battery energy storage evaluation method (BESEM), which interlinks a BES model with an electricity grid model to simulate the interactions between these two systems. In this paper, the BESEM is applied to a case study, wherein the relative effects of different BES control strategies are compared. The results from this case study indicate that batteries can reduce grid congestion if they are passively controlled (i.e., constraining battery power) or actively controlled (i.e., overriding normal battery operations). Using batteries to reduce congestion was found to reduce the primary benefits provided by the batteries to the battery owners, but could increase secondary benefits. Further, passive battery controls were found to be nearly as effective as active battery controls at reducing grid congestion in certain situations. These findings indicate that the trade-offs between different battery control strategies are not always obvious, and should be evaluated using a method like the BESEM.
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Posters voor installatie Shima Mousavi-Gargari en andere bijeenkomsten HAN-BES
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Associate lectoren Carolien Kattenbelt en Leo Polak hebben het afgelopen jaar bij de HAN leiding gegeven aan het Lectoraat Balanced Energy Systems. Met onderzoek naar technische innovaties voor de versnelling van de energietransitie. Ze kijken terug op een mooi jaar en blikken vooruit.
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Hoogspanningsnetbeheerder TenneT en de HAN University of Applied Siences in Arnhem zijn verheugd om de verlenging van hun samenwerking voor nog eens 4 jaar te bekrachtigen. Doel is om een nieuwe fase in de energietransitie te bevorderen, zowel op nationaal als Europees niveau. Het moment van ondertekening op 5 juni 2023 met Gerrit Averesch, directeur HAN Academie Engineering en Automotive, Jan-Paul Dijckmans, directeur Strategy & Partnerships bij TenneT, bijzonder lector Shima Mousavi Gargari van HAN Academie Engineering en Automotive
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