A5002410611- Complex Systems and Decision Making
- Climate Change Policy and Economics
- Smart Grid Energy Management
- Sustainability and Climate Change Governance
- Electric Power System Optimization
- Innovation Diffusion and Forecasting
- Integrated Energy Systems Optimization
- Global Energy and Sustainability Research
- Energy, Environment, and Transportation Policies
- Energy Efficiency and Management
- Electric Vehicles and Infrastructure
- Environmental Education and Sustainability
- Climate Change Communication and Perception
- Capital Investment and Risk Analysis
- Transportation and Mobility Innovations
- Social Acceptance of Renewable Energy
- Sustainable Industrial Ecology
- Multi-Agent Systems and Negotiation
- Opinion Dynamics and Social Influence
- Environmental Impact and Sustainability
- Transportation Planning and Optimization
- Auction Theory and Applications
- Energy and Environment Impacts
- Infrastructure Resilience and Vulnerability Analysis
- Energy, Environment, Economic Growth
Delft University of Technology
2015-2024
Wuppertal Institute for Climate, Environment and Energy
2014-2017
Societal transitions involve multiple actors, changes in institutions, values and technologies, interactions across sectors scales. Given this complexity, paper takes on the view that societal research field would benefit from further maturation broader uptake of modelling approaches. This shows how can enhance understanding support stakeholders to steer transitions. It discusses benefits provides for studying large systems elaborates different ways models be used studies. Two model...
Increasing the adoption of energy efficient technologies by households is one formulated strategies to reduce greenhouse gas emissions. This paper presents a systematic review agent-based modelling studies on efficiency households. It starts with an overview barriers for adoption, policies, model types. Afterwards, analysis given modelled, policies simulated, decision-making theories included, and use empirical data. An presented how technologies, relate in models. Furthermore, core policy...
The COVID-pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability our health care systems, threatening economic meltdown, and putting pressure on mental individuals (due to social distancing lock-down measures).The pandemic also posing severe challenges scientific community, with scholars under respond policymakers' demands for advice despite absence adequate, trusted data.Understanding requires fine-grained data representing specific local conditions reactions...
Sustainability policy in the early 2000s is based on and therefore influenced by scientific literature 'transition'. The importance of this link has inspired authors to explore structure cooperating citation networks field. In order understand 'transition' literature, we compare it with an alternative term for change, 'transformation', which also used context socio-technical shifts towards sustainability. We expose different structures these fields overview keywords, key references, authors,...
Transition modelling is an emerging but growing niche within the broader field of sustainability transitions research.The objective this paper to explore characteristics in relation a range existing approaches and literatures with which it shares commonalities or from could draw.We distil number key aspects we think model should be able address, broadly acknowledged, empirical list transition characteristics.We review some main strands socio-technological change regards their ability address...
Despite the increasing use of standards for documenting and testing agent-based models (ABMs) sharing open access code, most ABMs are still developed from scratch. This is not only inefficient, but also leads to ad hoc often inconsistent implementations same theories in computational code delays progress exploration functioning complex social-ecological systems (SES). We argue that reusable building blocks (RBBs) known professional software development can mitigate these issues. An RBB a...
Transparent, consistent accounting of climate-related energy targets is a fundamental building block to the architecture international climate agreements. Many these focus on transition system which has led development various scenarios. Now that fossil resources are being replaced by non-combustible and renewable sources re-assessment applicability current set metrics scenarios based necessary. derived from with abundant availability but limited instantaneous becomes more prominent ongoing...
The recent low CO2 prices in the European Union Emission Trading Scheme (EU ETS) have triggered a discussion whether EU ETS needs to be adjusted. We study effects of price floors and ceiling on dynamic investment pathway two interlinked electricity markets (loosely based Great Britain, which already has introduced floor, Central Western Europe). Using an agent-based market simulation with endogenous (including banking), we analyse cross-border national policies as well system-wide policy...
The EU parliament has accepted a proposal of the commission on backloading emission allowances (EUA), where auctioning EUAs is postponed to future time periods. also proposed market stability reserve (MSR), which quantity-based stabilisation policy that aimed at controlling volume in circulation. Using an agent-based electricity simulation with endogenous investment and CO2 (including banking), we analyse reform MSR. We find only have short-term impact prices; regardless, there significant...
Climate change is likely to affect how society will function in this century. Because climate effects may be severe, a next step study not only the on natural systems, but also built infrastructure systems and, response anticipated effects, adaptation of those systems. Studies that discuss interconnected infrastructures, society's backbones, light are emerging. We apply socio-technical perspective order gain insight into our and possible adaption strategies for coming decades. use collect...
Agent-based models are particularly suitable to reflect the dynamics of humans, nature, and their interactions, making them a crucial approach for understanding social-ecological systems. The formalisations human decision-making central resulting model behaviours. Despite awareness complexity behaviour in systems research, scholars tend represent decision-makers as simplified, perfectly informed rational optimisers, without explicitly considering fit with decision context. Key reasons...
The effectiveness of a capacity market is analyzed by simulating three conditions that may cause suboptimal investment in the electricity generation: imperfect information and uncertainty; declining demand shocks resulting load loss; growing share renewable energy sources generation portfolio. Implementation can improve supply adequacy reduce consumer costs. It mainly leads to more low-cost peak units. If administratively determined reserve margin high enough, security not significantly...
We analyze the effectiveness of a forward capacity market (FCM) with long-term contracts in an electricity presence growing share renewable energy. An agent-based model is used for this analysis. Capacity markets can compensate deteriorating incentive to invest controllable power plants when variable energy sources grows, but may create volatile prices themselves. have been developed, e.g. UK, stabilize prices. In our analysis, FCM effective providing required adequacy level and leads lower...
To ensure sufficient investment in electricity generation capacity, mechanisms such as strategic reserves are being considered or already implemented. We analyze the effectiveness of a reserve presence growing portfolio share renewable energy sources (RES) with EMLab-Generation, an agent-based market model. A can stabilize investment, but within limits. Uncertainty regarding future demand may cause to become instable, potentially leading periods very high prices. In large variable sources,...
The cross-border effects of a capacity market and strategic reserve in interconnected electricity markets are modeled using an agent-based modeling methodology. Both mechanisms improve the security supply reduce consumer costs. Our results indicate that interconnections do not affect effectiveness market, while is affected negatively. neighboring zone may free ride on provided by implementing mechanism. However, causes crowding out generators energy-only zone. A implemented this region could...
The European Union considers demand response to be an integral part of its future energy vision, in particular as a supporting mechanism for renewable resource integration. To achieve high participation, the recognises need adequate financial incentives all consumers, especially residential and service sector consumers. However, Energy Tax Directive, which regulates taxation Union, is currently not alignment with this it does provide any participation. This paper explores potential taxes...