The neighborhood of Houtlaan in Assen, the Netherlands, has ambitious targets for reducing the neighborhood’scarbon emissions and increasing their production of their own, sustainable energy. Specifically, they wish toincrease the percentage of houses with a heat pump, electric vehicle (EV) and solar panels (PV) to 60%, 70%and 80%, respectively, by the year 2030. However, it was unclear what the impacts of this transition would be onthe electricity grid, and what limitations or problems might be encountered along the way.Therefore, a study was carried out to model the future energy load and production patterns in Houtlaan. Thepurpose of the model was to identify and quantify the problems which could be encountered if no steps are takento prevent these problems. In addition, the model was used to simulate the effectiveness of various proposedsolutions to reduce or eliminate the problems which were identified.
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.
The application of DC grids is gaining more attention in office applications. Especially since powering an office desk would not require a high power connection to the main AC grid but could be made sustainable using solar power and battery storage. This would result in fewer converters and further advanced grid utilization. In this paper, a sustainable desk power application is described that can be used for powering typical office appliances such as computers, lighting, and telephones. The desk will be powered by a solar panel and has a battery for energy storage. The applied DC grid includes droop control for power management and can either operate stand-alone or connected to other DC-desks to create a meshed-grid system. A dynamic DC nano-grid is made using multiple self-developed half-bridge circuit boards controlled by microcontrollers. This grid is monitored and controlled using a lightweight network protocol, allowing for online integration. Droop control is used to create dynamic power management, allowing automated control for power consumption and production. Digital control is used to regulate the power flow, and drive other applications, including batteries and solar panels. The practical demonstrative setup is a small-sized desktop with applications built into it, such as a lamp, wireless charging pad, and laptop charge point for devices up to 45W. User control is added in the form of an interactive remote wireless touch panel and power consumption is monitored and stored in the cloud. The paper includes a description of technical implementation as well as power consumption measurements.
Based on the model outcomes, Houtlaan’s energy transition will likely result in congestion and curtailmentproblems on the local electricity grid within the next 5-7 years, possibly sooner if load imbalance between phasesis not properly addressed.During simulations, the issue of curtailment was observed in significant quantities on one cable, resulting in aloss of 8.292 kWh of PV production per year in 2030. This issue could be addressed by moving some of thehouses on the affects cable to a neighboring under-utilized cable, or by installing a battery system near the end ofthe affected cable. Due to the layout of the grid, moving the last 7 houses on the affected cable to the neighboringcable should be relatively simple and cost-effective, and help to alleviate issues of curtailment.During simulations, the issue of grid overloading occurred largely as a result of EV charging. This issue can bestbe addressed by regulating EV charging. Based on current statistics, the bulk of EV charging is expected to occurin the early evening. By prolonging these charge cycles into the night and early morning, grid overloading canlikely be prevented for the coming decade. However, such a control system will require some sort of infrastructureto coordinate the different EV charge cycles or will require smart EV chargers which will charge preferentiallywhen the grid voltage is above a certain threshold (i.e., has more capacity available).A community battery system can be used to increase the local consumption of produced electricity within theneighborhood. Such a system can also be complemented by charging EV during surplus production hours.However, due to the relatively high cost of batteries at present, and losses due to inefficiencies, such a systemwill not be financially feasible without some form of subsidy and/or unless it can provide an energy service whichthe grid operator is willing to pay for (e.g. regulating power quality or line voltage, prolonging the lifetime of gridinfrastructure, etc.).A community battery may be most useful as a temporary solution when problems on the grid begin to occur, untila more cost-effective solution can be implemented (e.g. reinforcing the grid, implementing an EV charge controlsystem). Once a more permanent solution is implemented, the battery could then be re-used elsewhere.The neighborhood of Houtlaan in Assen, the Netherlands, has ambitious targets for reducing the neighborhood’scarbon emissions and increasing their production of their own, sustainable energy. Specifically, they wish toincrease the percentage of houses with a heat pump, electric vehicle (EV) and solar panels (PV) to 60%, 70%and 80%, respectively, by the year 2030. However, it was unclear what the impacts of this transition would be onthe electricity grid, and what limitations or problems might be encountered along the way.Therefore, a study was carried out to model the future energy load and production patterns in Houtlaan. Thepurpose of the model was to identify and quantify the problems which could be encountered if no steps are takento prevent these problems. In addition, the model was used to simulate the effectiveness of various proposedsolutions to reduce or eliminate the problems which were identified
De verplichting in de Binnenvaart om haar emissies te reduceren leidt tot grote uitdagingen in de sector, omdat nieuwe technologie in bestaande schepen tot problemen leidt en vaak een te grote investering vraagt. VIV, de branchevereniging van inbouw-, reparatie- en revisiebedrijven, heeft zich uitgesproken voor het gebruik van hernieuwbare methanol. Het ontbreekt de bedrijven echter aan kennis en vaardigheid over de conversie van een bestaande dieselmotor naar hernieuwbare methanol. De methanol industrie, verenigd in het Methanol Institute, zet zich in voor het gebruik van methanol in de scheepvaart. In de Zeevaart is al ervaring opgedaan met hernieuwbare methanol, maar de schaal en technologie verschilt met die in onze Binnenvaart. VIV en het Methanol Institute hebben de HAN benaderd met de vraag om de kennis en vaardigheid in gebruik van hernieuwbare methanol in scheepsmotoren te vergroten. De HAN beantwoordt deze marktvraag in 4 werkpakketten waar het draait om de retrofit conversie van een bestaande binnenvaartaandrijving, op een praktisch toepasbare manier. Ze maakt hier een vertaalslag van de wetenschap en kennis bij grote zeevaartmotoren, naar het binnenvaart-MKB. Dit gebeurt door te onderzoeken binnen welke kaders, en met welke indicatoren tijdens het afstellen van een onderzoeksmotor, een optimale methanol dual-fuel motor opgezet kan worden. Het hoofddoel is het verhogen van de kennis en vaardigheid over dual-fuel motoren op Hernieuwbare Methanol in de reparatie- en revisiesector. Het Schoon Schip project combineert de opgedane kennis met kennis uit de academische wereld, en de motorervaring van alle partners, om tot een betrouwbare toepassing van methanol in de binnenvaart te komen. Het gaat er om tot een werkende praktijkoplossing te komen voor het gebruik van hernieuwbare methanol in de bestaande vloot van 12.000 binnenvaartschepen.
Making buildings smarter will save energy and make energy systems more flexible to address grid congestion. This is done by adding smart functionalities (such as machine learning and AI) to existing building management systems and by making full use of building data. Applied research and innovation on smart buildings is urgently needed to evaluate the best smart solutions for buildings applicable to different types of buildings across different contexts, and to assess their costs and benefits. Research on smart buildings, therefore, plays a large role in European, national and regional R&I agenda’s on energy, climate and digitalisation. Amsterdam University of Amsterdam (AUAS) has a growing research group on building energy management and smart buildings, supporting the sustainable transition of its own campus and the Amsterdam region. However, to date, AUAS has not been able to engage in international research projects in this area. Recently, AUAS became a partner in an European University Alliance (U!REKA European University), U!REKA comprises of six universities of applied sciences across Europe with its mission focusing on climate neutral communities and cities. Several partners with U!REKA are also conducting research on smart buildings and smart campuses, but, like AUAS, still in relative isolation. U!REKA will provide the collaboration framework for future joint research to be kick-started by the proposed SIA pilot project. In this research project, AUAS will cooperate with the Technical University Eindhoven, Metropolia University of Applied Sciences (Helsinki) and Politecnico de Lisboa (Lisbon) as consortium partners. Supporting partners are Frankfurt University of Applied Sciences, KTH Royal Institute of Technology (Stockholm) and TVVL (Dutch knowledge platform and association of professionals in the installation sector). The research is based on smart building case studies on the campuses of the project partners.
