- Complex Systems and Decision Making
- Sustainable Industrial Ecology
- Environmental Impact and Sustainability
- Flood Risk Assessment and Management
- Multi-Agent Systems and Negotiation
- Business Process Modeling and Analysis
- Environmental Science and Water Management
- Sustainable Supply Chain Management
- Energy, Environment, and Transportation Policies
- Simulation Techniques and Applications
- Sustainability and Climate Change Governance
- Tropical and Extratropical Cyclones Research
- Global Energy and Sustainability Research
- Integrated Energy Systems Optimization
- Innovative Approaches in Technology and Social Development
- Education, Law, and Society
- Semantic Web and Ontologies
- Opinion Dynamics and Social Influence
- Disaster Management and Resilience
- Innovation Diffusion and Forecasting
- Energy Efficiency and Management
- Scientific Computing and Data Management
- Smart Grid Energy Management
- Infrastructure Resilience and Vulnerability Analysis
- Transportation Planning and Optimization
Delft University of Technology
2014-2024
University of Nis
2016-2023
University of Bremen
2016
University of Groningen
2016
Swiss Federal Laboratories for Materials Science and Technology
2015
Leiden University
2004
Coherent responses to important problems such as climate change require involving a multitude of stakeholders in transformative process leading development policy pathways. The coming an agreement on pathways requires critical reflection underlying system conceptualizations and commitment building capacity all engaged social learning process. Simulation models can support processes by providing boundary object or negotiating artifact that allows deliberate through multi-interpretable,...
This article contains the results of a study performed to support Dutch environmental policy dematerialization. The aim was develop and apply methodology identify materials that contribute most problems in Netherlands. developed combines aspects material flow accounting (MFA) life‐cycle assessment (LCA) aims at adding set weights flows materials. applied number For these materials, impacts per kilogram were extracted from standard LCA database combination with software. These are then...
Summary A method is presented that allows for a life cycle assessment (LCA) to provide environmental information on an energy infrastructure system while it evolves. Energy conversion facilities are represented in agent‐based model (ABM) as distinct instances of technologies with owners capable making decisions based economic and information. This simulation setup us explore the dynamics assembly, disassembly, use these systems, which typically span decades, analyze effect using LCA decision...
Flood risk emerges from the dynamic interaction between natural hazards and human vulnerability.Methods for quantification of flood are well established, but tend to deal with economic vulnerability as being static or changing an exogenously defined trend.In this paper we present Agent-Based Model (ABM) developed simulate dynamical evolution vulnerability, facilitate investigation insurance mechanism in London.The ABM has been firstly allow analysis homeowners surface water flooding, which...
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...
Now that renewable technologies are both technically and commercially mature, the imperfect rational behaviour of investors becomes a critical factor in future success energy transition. Here, we take an agent-based approach to model investor decision making electricity sector by modelling as actors with different (heterogeneous) anticipations future. With only limited set assumptions, this generic replicates dynamics liberalised market last decades points out be expected transition...
Summary Industrial ecology (IE) is an ambitious field of study where we seek to understand systems using a wide perspective ranging from the scale molecules that planet. Achieving such holistic view challenging and requires collecting, processing, curating, sharing immense amounts data knowledge. We are not capable fully achieving this due current state tools used in IE community practices. Although deal with vastly interconnected world, so good at efficiently interconnecting what learn...
Full decarbonisation of the electricity system is one key elements to limit global warming. As this transition takes place, must maintain adequacy and remain affordable consumers. In liberalised markets investors are seen as actors driving transition. Due intermittent character renewable assets, such wind or solar parks, systems with large shares will need become increasingly flexible. Evaluating whether specific market designs provide right incentives invest in flexibility, requires...
Understanding the possible transition pathways of energy system requires integration human behaviour in models. In order to model influence actor we have developed ACT (Agent-Based Model Critical Transitions), an agent-based inspired by existing conceptualisation critical transitions. allows us depart from current mean-field approach and explicitly explore effects heterogeneity, leaders, networks on transition. Two key finding are (1) importance local communities (2) leaders can both...
Summary Substance flow analysis (SFA) is a frequently used industrial ecology technique for studying societal metal flows, but it limited in its ability to inform us about future developments patterns and how we can affect them. Equation‐based simulation modeling techniques, such as dynamic SFA system dynamics, usefully complement static studies this respect, they are also restricted several ways. The objective of article demonstrate the agent‐based overcome these limitations usefulness tool...
Recycling of construction material is a valuable option for minimizing & demolition waste streams to landfills and mitigating primary mineral resource depletion. Material flows in the sector are governed by complex socio-technical system which awarding authorities decide interaction with other actors on use materials. Currently, still mainly deposited landfills, as lack necessary information training regarding recycled materials, result have low levels acceptance them. This paper presents an...
Abstract Finding leverage points for sustainability transformation of industrial and infrastructure systems is challenging, given that emergent from the complex interactions among socio-technical system elements over time within a specific social, technical geographical context. Participatory multi-modelling, in which modellers stakeholders collaborate to develop multiple interacting models support shared understanding systems, promising approach transformations. The participatory process...
Agent-based modeling is one of the popular tools for analyzing complex socio-technical systems. Because nature such systems a systematic methodology required to guide process. By studying existing methodologies in MAS we distinguished four major differences between and ABM regarding goals, system scale diversity, level understanding verification validation concerns. In this paper take these into account based on more than 25 case studies, present methodological framework developing...
The viability of novel network-level circular business models (CBMs) is debated heavily.Many companies are hesitant to implement CBMs in their daily practice, because the various roles, stakes and opinions resulting uncertainties.Testing prior implementation needed.Some scholars have used digital simulation test elements models, but this has not yet been done systematically for CBMs.To address knowledge gap, paper presents a systematic iterative method explore improve actual by means...
Industrial Symbiosis Networks (ISNs) consist of firms that exchange residual materials and energy locally, in order to gain economic, environmental and/or social advantages.In practice, ISNs regularly fail when partners leave the recovery streams ends.Regarding current societal need for a shi towards sustainability, it is undesirable should fail.Failures may be caused by actor behaviour leads unanticipated economic losses.In this paper, we explore e ect these behaviours on ISN robustness...