A5025323909- Smart Grid Energy Management
- Energy Efficiency and Management
- Global Energy Security and Policy
- Electric Power System Optimization
- Global Energy and Sustainability Research
- Energy and Environment Impacts
- Social Acceptance of Renewable Energy
- Green IT and Sustainability
- Integrated Energy Systems Optimization
- Energy, Environment, and Transportation Policies
- Wireless Sensor Networks for Data Analysis
- Context-Aware Activity Recognition Systems
- Building Energy and Comfort Optimization
- Electric Vehicles and Infrastructure
- Bluetooth and Wireless Communication Technologies
- Economic and Environmental Valuation
- Traffic Prediction and Management Techniques
- Housing Market and Economics
- Renewable Energy and Sustainability
- Power System Reliability and Maintenance
- Economic Development and Digital Transformation
- Environmental Science and Technology
- Energy Load and Power Forecasting
- Microgrid Control and Optimization
- Health and Medical Studies
ZHAW Zurich University of Applied Sciences
2018-2023
University of Cambridge
2011-2013
Abstract Accelerating energy transitions that are both sustainable and just remains an important challenge, social innovation can have a key role in this transition. Here, we examine the diversity potential of systems transformation, synthesizing original mixed methods data from expert interviews, document analysis, experiments, representative survey, survey. Based on thematic analysis these data, advance four findings: (1) is best understood when recognizing core practices (thinking, doing,...
We propose a novel grid tariff design proportional to load and analyze its performance in comparison other designs with regards (i) effectiveness, (ii) efficiency, (iii) profitability of technologies (iv) equity. In the case large share automated loads, time-of-use tariffs critical peak prices create problematic new rebound peaks. Direct control capacity can reduce without peaks but are less effective at reducing both energy costs. The costs needs be designed appropriately avoid Tariff...
Based on an overview of the welfare impacts grid-tariffs, we derive ten design criteria for efficient grid tariffs. While in theory, a highly granular tariff design, which calculates impact individual customers cost would be most cost-reflective, higher granularity signals also results transaction and lower acceptability. Increasing automation may reduce cost, however, short-term distribution grid-operators don't have real-time monitoring automatic load-control. Within this paper therefore...
Accurate load forecasting is essential for power-sector planning and management. This applies during normal situations as well phase changes such the Coronavirus (COVID-19) pandemic due to variations in electricity consumption that made it difficult system operators forecast accurately. So far, few studies have used traffic data improve prediction accuracy. paper aims investigate influence of combination with other commonly features (historical load, weather, time) – better predict...
Demand-side management (DSM) is increasingly needed for answering electricity flexibility needs in the upcoming transformation of energy systems. Use automation leads to better efficiency, but its acceptance problematic since it linked with several issues, such as privacy or loss control. Different approaches investigate what should be done building community support purpose DSM, only recently that literature has shown interest application social license a concept merging issues...
While automation helps to increase load-shifting, the combination of with time-of-use (TOU) or critical-peak prices (CPP) may lead rebound peaks at beginning low-tariff periods which exceed original peak. Using a discrete choice experiment representative sample 696 Swiss consumers, we find that tariff menu including (i) flat price direct load control (DLC) and (ii) without could avoid this problem. The majority (57%) mostly younger customers, be interested in would likely sign up for DLC...
Estimation of the worth continuity electricity supply is interest industry, authorities and research society. There are numerous methods to calculate Customer Interruption Costs (CICs). Each method has its advantages disadvantages. This paper approaches problem from Distribution System Operators’ (DSOs) point view adopts two existing analytical models. One model used by Finnish Energy Market Authority second one was proposed authors at a previous study. The suggested as an...
Based on a discrete choice experiment with 582 households in Switzerland, we find, that about 30% of the customers focus price risks (cost focus) when they choose an electricity tariff, while 70% are more worried volume (comfort focus). Customers cost focus, prefer contracts low and automatic load control, even these increased their may lead to discomfort, comfort unlikely contract exposes them either or risks. All direct control individual appliances capacity subscriptions other demand...
Dynamic grid tariffs can incentivize grid-serving behavior of load without requiring direct control by operators. However, they need to be designed appropriately avoid rebound peaks and welfare losses due unnecessary demand response activations. We analyze the performance 9 different dynamic tariff designs regarding their impact on household consumption utilization. In a linear optimization model, we determine optimal operation electric vehicles, heat pumps, batteries PV systems based two...
In the EU, several governments have introduced or are contemplating a capacity mechanism to ensure adequate investment in generation capacity. Previous research has analyzed impacts of mechanisms on installed and cost consumers case efficient regulation. By contrast we find that choice between may be influenced by extent regulatory errors as well whether evaluated from perspective consumer welfare perspective.