- Electric Vehicles and Infrastructure
- Smart Grid Energy Management
- Advanced Battery Technologies Research
- Integrated Energy Systems Optimization
- Transportation and Mobility Innovations
- Electric Power System Optimization
- Business Process Modeling and Analysis
- Energy, Environment, and Transportation Policies
- Hybrid Renewable Energy Systems
- Scheduling and Optimization Algorithms
- Process Optimization and Integration
- Supply Chain and Inventory Management
- Multi-Agent Systems and Negotiation
- Sustainable Supply Chain Management
- Microgrid Control and Optimization
- Global Energy and Sustainability Research
- Smart Grid Security and Resilience
- Advanced Control Systems Optimization
- Supply Chain Resilience and Risk Management
- Energy Efficiency and Management
- Environmental Impact and Sustainability
- Climate Change Policy and Economics
- Information and Cyber Security
- Optimal Power Flow Distribution
- Network Security and Intrusion Detection
Delft University of Technology
2015-2024
Next Generation Infrastructures
2021
Eindhoven University of Technology
2019
University of Colorado Boulder
2019
Polytechnic University of Turin
2018
Utrecht University
2017
Possible congestion management mechanisms for price-responsive electric vehicle demand in electricity distribution networks are investigated. Because a high penetration of renewable energy sources weakens the correlation between wholesale prices and network demand, cost-minimizing vehicles may cause peaks load. Managing is not costly theory but difficult to implement efficiently. Grid tariffs that fixed ex ante, based on load, were found make problem worse compared base-case scenario flat...
This paper investigates the distribution system impacts of electric vehicle (EV) charging. The analysis is based on a large number operational networks in Netherlands. Future load profiles have been constructed by adding different EV charging to household loads and solving power flows assess network various levels. results indicate that controlled EVs leads significant reduction overloaded components be replaced, but impact varies per level. Overall, uncontrolled scenarios roughly two times...
This work investigates different scenarios for electric vehicle (EV) deployment in China and explores the implications thereof with regard to energy portfolio, economics environment. Specifically, we investigate how better deliver value of EVs by improving designs power system charging strategies, given expected developments 2030 both EV penetration levels. The impact is quantified applying an integrated transportation-power model on a set which represent uncertainties strategies. We find...
Fuel cell electric vehicles convert chemical energy of hydrogen into electricity to power their motor. Since cars are used for transport only during a small part the time, stored in on-board tanks fuel can be provide when parked. In this paper, we present community microgrid with photovoltaic systems, wind turbines, and that vehicle-to-grid renewable generation is scarce. Excess produce hydrogen, which refilling station. A central control system designed operate such way operational costs...
The pursuing of inter-regional power transmission to address renewable curtailment in China has resulted disappointing gains. This paper evaluates the case local green ammonia production this issue. An improved optimization-based simulation model is applied simulate lifetime manufacturing, and impacts main institutional incentives oxygen synergy on investment are analysed. Levelized cost estimated at around 820 USD/t, which about twice present price. operating rate, price, electrical...
• We quantify the energy, economic and environmental implications of inter-regional transmission grid expansion for China by 2030. The largely benefits in reducing generation costs securing power supply across regions. has a limited impact on mitigating curtailment renewable slightly increases CO 2 emissions This paper investigates capacity China's sector decarbonization from energy portfolio, efficiency perspectives. is quantified based cluster integer unit commitment model which renders it...
Scheduled charging offers the potential for electric vehicles (EVs) to use renewable energy more efficiently, lowering costs and improving stability of electricity grid. Many studies related EV charge scheduling found in literature assume perfect or highly accurate knowledge demand EVs expected arrive after is performed. However, practice, there always a degree uncertainty future demands. In this work, Model Predictive Control (MPC) based smart strategy developed, which takes into account,...
The high level of uncertainty renewable energy sources generation creates differences between electricity supply and demand, endangering the reliable operation power system. Demand response has gained significant attention as a means to cope with sources. residential service sector consumers, when accumulated managed by aggregators, can play role in existing markets. This paper addresses question what extent aggregator-mediated demand be used deal impacts solar generation. Uncertain leads...
The current focus on the massive CO2 reduction highlights need for rapid development of technology production, storage, transportation and distribution renewable energy. In addition to electricity, we other forms energy carriers that are more suitable storage transportation. Hydrogen is one main candidates this purpose, since it can be produced from solar or wind then stored; once needed, converted back electricity using fuel cells. Another important aspect future systems sector coupling,...
Vehicle-to-grid (V2G) technology could turn electric vehicles (EVs) into a potentially valuable solution to the problem of increased load demand caused by large-scale EV integration. Successful market penetration V2G relies not only on developing itself, but also drivers' willingness participate in this technology. This paper aims explore Dutch preferences for participating contracts. In particular, we conduct context-dependent stated choice experiment examine impact recharging contract...
Green ammonia production as an important application for propelling the upcoming hydrogen economy has not been paid much attention by China, world's largest producer. As a result, related studies are limited. This paper explores potential supply chain design and planning strategies of green in next decade China with case study Inner Mongolia. A hybrid optimization-based simulation approach is applied, considering traditional optimization approaches insufficient to address uncertainties...
Hydrogen is becoming increasingly popular as a clean, secure, and affordable energy source for the future. This study develops an approach designing PV–battery–electrolyzer–fuel cell system that utilizes hydrogen long-term storage medium battery short-term medium. The designed to supply load demand primarily through direct electricity generation in summer, indirect winter. sizing of components based on demand, with key input parameter being factor, which determines extent used meet seasonal...
In this article, we presented a hydrogen -based integrated energy and transport system named CaPP. The CaPP concept is complex sociotechnical system. A large network of players involved in the development operation its technical infrastructure physical components. To illustrate how will work, designed 100% renewable for smart city area based on wind, solar, hydrogen, FCEVs inspired by Hamburg, Germany. Using technoeconomic analysis, have shown that such design technically feasible. However,...
This work analyses the effectiveness of an off-grid solar photovoltaic system for charging electric vehicles (EVs) in a long-term parking lot. The is investigated through analysis states charge (SoC) at departure EVs plugged lot over simulated year. Although share leaving with inadequate entire year small, this relatively high during low irradiance winter months. We show that increase efficiency modules used and minimum duration time spent are effective within limits improving adequacy. then...
This papers investigates the impact of electric vehicle charging on residential low-voltage networks. The analysis is based real life data both driving patterns and a large number electricity focus comparing uncontrolled an controlled scenarios. results indicate that significant LV-transformers will be overloaded if no charge control applied. Moreover, substantial portion LV-feeder cables in case charging, although much less are than transformers. Controlled EVs can reduce tranformers with...