Emile Chappin
Biographic Data
| ID | 4082148 |
|---|---|
| NAME | Emile Chappin |
| GIVEN NAMES | Emile |
| FAMILY NAME | Chappin |
| SIGNATURE | CHAPPIN E |
| AFFILIATIONS | Delft University of Technology |
| ORCID | 0000-0002-8529-4241 |
| VERIFIED | Yes |
| TOTAL WORKS | 26 |
| TOTAL CITATIONS | 89 |
| AUTHOR COUNT | 26 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 4 |
Simultaneous Structural and Parameter Optimization in Agent-Based Models Using Adaptive Genetic Programming
This study presents Adaptive Dual-OPtimization with Tree learning Genetic Programming (ADOPT-GP), a dual-loop evolutionary framework that simultaneously discovers symbolic rule structures and calibrates parameters. ADOPT-GP couples adaptive genetic programming with a two-stage parameter tuning process: rapid logistic-regression initialization followed by evolutionary calibration. Across runs, fitness improves by 20%–40% on average. Against a bile…
Prospective life cycle and circularity assessment of circular business models using an empirically grounded agent‐based model
Despite the need for methodologies that support early‐phase decision‐making in the transition to a circular economy, current sustainability assessments often lack a prospective method that dynamically accounts for consumer decision‐making based on empirical evidence. This study addresses this need by evaluating the circularity and environmental impacts of circular business models over a 30‐year period, using an empirically grounded agent‐based mo…
Structural Sculpting: Making Inverse Modelling Generate and Deal with Variable Structures
Frameworks for multi-system innovation analysis from a sociotechnical perspective: A systematic literature review
This paper systematically reviews the literature on sociotechnical multi-system innovation frameworks that broaden the usual focus on one sociotechnical system to encompass influences from multiple systems. The review includes 75 peer-reviewed papers that span a broad range of energy-demanding systems and mainly build upon the core frameworks of the Multi-level Perspective (MLP) and Technological Innovation Systems (TIS). The analysis identifies …
Equity, Urgency, Affordability: An ABM Exploration of Design Principles for Collective Action Institutions in Times of Crisis
Societal inequities and barriers to participation in societal decisions mean that some people and groups have difficulty in accessing sufficient resources to meet their essential needs. This increases the vulnerability of those who lack social and political capital intimes of crises, such as climate change impact events. Collective action institutions can redress this inequity by facilitating the redistribution of essential resources from the wea…
One service fits all? Insights on demand response dilemmas of differently equipped households in Germany
Households equipped with flexible technologies, such as electric vehicles, can support the energy transition by shifting electricity consumption to times of high renewable supply and by preventing consumption peaks that cannot be covered by existing grid and generation infrastructure. Demand response services support households in performing these consumption shifts. Households ask for specifications of services that stand partly in contrast to e…
To charge or not to charge? Using Prospect Theory to model the tradeoffs of electric vehicle users
Electric vehicle (EV) users who aim to become flexibility providers face a tradeoff between staying in control of charging and minimizing their electricity costs. The common practice is to charge immediately after plugging in and use more electricity than necessary. Changing this can increase the EV’s flexibility potential and reduce electricity costs. Our extended electricity cost optimization model systematically examines how different changes …
Understanding the embeddedness of individuals within the larger system to support energy transition
Linking of a multi-country discrete choice experiment and an agent-based model to simulate the diffusion of smart thermostats
In this paper, we link findings from a demographically representative discrete choice experiment (DCE) in eight European countries on the adoption of smart thermostats with an agent-based model (ABM) in a methodologically consistent way. We employ the ABM to simulate the diffusion pattern of smart thermostats until 2030 and to examine the effects of subsidies and recommendations by specific agents. Our findings highlight the importance of allowin…
Understanding the embeddedness of individuals within the larger system to support the energy transition
Tracing Long-term Value Change in (Energy) Technologies: Opportunities of Probabilistic Topic Models Using Large Data Sets
We propose a new approach for tracing value change. Value change may lead to a mismatch between current value priorities in society and the values for which technologies were designed in the past, such as energy technologies based on fossil fuels, which were developed when sustainability was not considered a very important value. Better anticipating value change is essential to avoid a lack of social acceptance and moral acceptability of technolo…
Integrating agent-based modeling, serious gaming, and co-design for planning transport infrastructure and public spaces
Psychology: The missing link in transitions research
Computational Models That Matter During a Global Pandemic Outbreak: A Call to Action
The COVID-pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability of our health care systems, threatening economic meltdown, and putting pressure on the mental health of individuals (due to social distancing and lock-down measures). The pandemic is also posing severe challenges to the scientific community, with scholars under pressure to respond to policymakers' demands for advice despite the absence of adequate, tr…
Conflicted by decarbonisation: Five types of conflict at the nexus of capabilities and decentralised energy systems identified with an agent-based model
This paper explores capability conflicts in the deployment of decentralised energy systems and identifies the affected population. These systems have positive societal impacts in terms of sustainability and consumer empowerment, but they are not accessible to all and their deployment may increase socio-economic inequalities. The societal impacts of decentralised energy systems can be understood in terms of conflicting capabilities; for some citiz…
Modelling Sustainability Transitions: An Assessment of Approaches and Challenges
Transition modelling is an emerging but growing niche within the broader field of sustainability transitions research. The objective of this paper is to explore the characteristics of this niche in relation to a range of existing modelling approaches and literatures with which it shares commonalities or from which it could draw. We distil a number of key aspects we think a transitions model should be able to address, from a broadly acknowledged, …
Cross-border effects of capacity mechanisms in interconnected power systems
The cross-border effects of a capacity market and a strategic reserve in interconnected electricity markets are modeled using an agent-based modeling methodology. Both capacity mechanisms improve the security of supply and reduce consumer costs. Our results indicate that interconnections do not affect the effectiveness of a capacity market, while a strategic reserve is affected negatively. The neighboring zone may free ride on the security of sup…
The effectiveness of capacity markets in the presence of a high portfolio share of renewable energy sources
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 in load loss; and a growing share of renewable energy sources in the generation portfolio. Implementation of a capacity market can improve supply adequacy and reduce consumer costs. It mainly leads to more investment in low-cos…
The Emergence of Climate Change Mitigation Action by Society: An Agent-Based Scenario Discovery Study
Developing model-based narratives of society's response to climate change is challenged by two factors. First, society's response to possible future climate change is subject to many uncertainties. Second, we argue that society's mitigation action emerge out of the actions and interactions of the many actors in society. Together, these two factors imply that the overarching dynamics of society's response to climate change are unpredictable. In co…
Exploring Homeowners’ Insulation Activity
Insulating existing buildings offers great potential for reducing greenhouse gas emissions and meeting Germany’s climate protection targets. Previous research suggests that, since homeowners’ decision-making processes are inadequately understood as yet, today’s incentives aiming at increasing insulation activity lead to unsatisfactory results. We developed an agent-based model to foster the understanding of homeowners’ decision-making processes r…
The effectiveness of a strategic reserve in the presence of a high portfolio share of renewable energy sources
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 strategic reserve in the presence of a growing portfolio share of renewable energy sources (RES) with EMLab-Generation, an agent-based electricity market model. A strategic reserve can stabilize investment, but within limits. Uncertainty regarding future demand may…
The market (in-)stability reserve for EU carbon emission trading: Why it might fail and how to improve it
The EU parliament has accepted a proposal of the EU commission on the backloading of EU emission allowances (EUA), where the auctioning of EUAs is postponed to future time periods. The EU commission has also proposed a market stability reserve (MSR), which is a quantity-based stabilisation policy that is aimed at controlling the volume of EUAs in circulation. Using an agent-based electricity market simulation with endogenous investment and a CO2 …
Prospects of modelling societal transitions: Position paper of an emerging community
Societal transitions involve multiple actors, changes in institutions, values and technologies, and interactions across multiple sectors and scales. Given this complexity, this paper takes on the view that the societal transitions research field would benefit from the further maturation and broader uptake of modelling approaches. This paper shows how modelling can enhance the understanding of and support stakeholders to steer societal transitions…
Infrastructure Network Design with a Multi-Model Approach: Comparing Geometric Graph Theory with an Agent-Based Implementation of an Ant Colony Optimization
Network infrastructures, such as roads, pipelines or the power grid face a multitude of challenges, from organizational and use changes, to climate change and resource scarcity. These challenges require the adaptation of existing infrastructures or their complete new development. Traditionally, infrastructure planning and routing issues are solved through top-down optimization strategies such as mixed integer non linear programming or graph appro…
Adaptation of interconnected infrastructures to climate change: A socio-technical systems perspective
Climate change is likely to affect how society will function in this century. Because climate change effects may be severe, a next step is to study not only the effects on natural systems, but also the effects on built infrastructure systems and, in response to anticipated effects, the adaptation of those systems. Studies that discuss interconnected infrastructures, society's backbones, in light of climate change are emerging. We apply a socio-te…
Prospects of modelling societal transitions: Position paper of an emerging community
Societal transitions involve multiple actors, changes in institutions, values and technologies, and interactions across multiple sectors and scales. Given this complexity, this paper takes on the view that the societal transitions research field would benefit from the further maturation and broader uptake of modelling approaches. This paper shows how modelling can enhance the understanding of and support stakeholders to steer societal transitions…
Psychology: The missing link in transitions research
An agent-based model of transitions in consumer lighting: Policy impacts from the E.U. phase-out of incandescents
The market (in-)stability reserve for EU carbon emission trading: Why it might fail and how to improve it
The EU parliament has accepted a proposal of the EU commission on the backloading of EU emission allowances (EUA), where the auctioning of EUAs is postponed to future time periods. The EU commission has also proposed a market stability reserve (MSR), which is a quantity-based stabilisation policy that is aimed at controlling the volume of EUAs in circulation. Using an agent-based electricity market simulation with endogenous investment and a CO2 …
Conflicted by decarbonisation: Five types of conflict at the nexus of capabilities and decentralised energy systems identified with an agent-based model
This paper explores capability conflicts in the deployment of decentralised energy systems and identifies the affected population. These systems have positive societal impacts in terms of sustainability and consumer empowerment, but they are not accessible to all and their deployment may increase socio-economic inequalities. The societal impacts of decentralised energy systems can be understood in terms of conflicting capabilities; for some citiz…
The effectiveness of a strategic reserve in the presence of a high portfolio share of renewable energy sources
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 strategic reserve in the presence of a growing portfolio share of renewable energy sources (RES) with EMLab-Generation, an agent-based electricity market model. A strategic reserve can stabilize investment, but within limits. Uncertainty regarding future demand may…
Adaptation of interconnected infrastructures to climate change: A socio-technical systems perspective
Climate change is likely to affect how society will function in this century. Because climate change effects may be severe, a next step is to study not only the effects on natural systems, but also the effects on built infrastructure systems and, in response to anticipated effects, the adaptation of those systems. Studies that discuss interconnected infrastructures, society's backbones, in light of climate change are emerging. We apply a socio-te…
Cross-border effects of capacity mechanisms in interconnected power systems
The cross-border effects of a capacity market and a strategic reserve in interconnected electricity markets are modeled using an agent-based modeling methodology. Both capacity mechanisms improve the security of supply and reduce consumer costs. Our results indicate that interconnections do not affect the effectiveness of a capacity market, while a strategic reserve is affected negatively. The neighboring zone may free ride on the security of sup…
Understanding the embeddedness of individuals within the larger system to support energy transition
Tracing Long-term Value Change in (Energy) Technologies: Opportunities of Probabilistic Topic Models Using Large Data Sets
We propose a new approach for tracing value change. Value change may lead to a mismatch between current value priorities in society and the values for which technologies were designed in the past, such as energy technologies based on fossil fuels, which were developed when sustainability was not considered a very important value. Better anticipating value change is essential to avoid a lack of social acceptance and moral acceptability of technolo…
An agent-based model of transitions in consumer lighting: Policy impacts from the E.U. phase-out of incandescents
Infrastructure Network Design with a Multi-Model Approach: Comparing Geometric Graph Theory with an Agent-Based Implementation of an Ant Colony Optimization
Network infrastructures, such as roads, pipelines or the power grid face a multitude of challenges, from organizational and use changes, to climate change and resource scarcity. These challenges require the adaptation of existing infrastructures or their complete new development. Traditionally, infrastructure planning and routing issues are solved through top-down optimization strategies such as mixed integer non linear programming or graph appro…
Adaptation of interconnected infrastructures to climate change: A socio-technical systems perspective
Climate change is likely to affect how society will function in this century. Because climate change effects may be severe, a next step is to study not only the effects on natural systems, but also the effects on built infrastructure systems and, in response to anticipated effects, the adaptation of those systems. Studies that discuss interconnected infrastructures, society's backbones, in light of climate change are emerging. We apply a socio-te…
The market (in-)stability reserve for EU carbon emission trading: Why it might fail and how to improve it
The EU parliament has accepted a proposal of the EU commission on the backloading of EU emission allowances (EUA), where the auctioning of EUAs is postponed to future time periods. The EU commission has also proposed a market stability reserve (MSR), which is a quantity-based stabilisation policy that is aimed at controlling the volume of EUAs in circulation. Using an agent-based electricity market simulation with endogenous investment and a CO2 …
Prospects of modelling societal transitions: Position paper of an emerging community
Societal transitions involve multiple actors, changes in institutions, values and technologies, and interactions across multiple sectors and scales. Given this complexity, this paper takes on the view that the societal transitions research field would benefit from the further maturation and broader uptake of modelling approaches. This paper shows how modelling can enhance the understanding of and support stakeholders to steer societal transitions…
The Emergence of Climate Change Mitigation Action by Society: An Agent-Based Scenario Discovery Study
Developing model-based narratives of society's response to climate change is challenged by two factors. First, society's response to possible future climate change is subject to many uncertainties. Second, we argue that society's mitigation action emerge out of the actions and interactions of the many actors in society. Together, these two factors imply that the overarching dynamics of society's response to climate change are unpredictable. In co…
Exploring Homeowners’ Insulation Activity
Insulating existing buildings offers great potential for reducing greenhouse gas emissions and meeting Germany’s climate protection targets. Previous research suggests that, since homeowners’ decision-making processes are inadequately understood as yet, today’s incentives aiming at increasing insulation activity lead to unsatisfactory results. We developed an agent-based model to foster the understanding of homeowners’ decision-making processes r…
The effectiveness of a strategic reserve in the presence of a high portfolio share of renewable energy sources
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 strategic reserve in the presence of a growing portfolio share of renewable energy sources (RES) with EMLab-Generation, an agent-based electricity market model. A strategic reserve can stabilize investment, but within limits. Uncertainty regarding future demand may…
Cross-border effects of capacity mechanisms in interconnected power systems
The cross-border effects of a capacity market and a strategic reserve in interconnected electricity markets are modeled using an agent-based modeling methodology. Both capacity mechanisms improve the security of supply and reduce consumer costs. Our results indicate that interconnections do not affect the effectiveness of a capacity market, while a strategic reserve is affected negatively. The neighboring zone may free ride on the security of sup…
The effectiveness of capacity markets in the presence of a high portfolio share of renewable energy sources
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 in load loss; and a growing share of renewable energy sources in the generation portfolio. Implementation of a capacity market can improve supply adequacy and reduce consumer costs. It mainly leads to more investment in low-cos…
Modelling Sustainability Transitions: An Assessment of Approaches and Challenges
Transition modelling is an emerging but growing niche within the broader field of sustainability transitions research. The objective of this paper is to explore the characteristics of this niche in relation to a range of existing modelling approaches and literatures with which it shares commonalities or from which it could draw. We distil a number of key aspects we think a transitions model should be able to address, from a broadly acknowledged, …
Computational Models That Matter During a Global Pandemic Outbreak: A Call to Action
The COVID-pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability of our health care systems, threatening economic meltdown, and putting pressure on the mental health of individuals (due to social distancing and lock-down measures). The pandemic is also posing severe challenges to the scientific community, with scholars under pressure to respond to policymakers' demands for advice despite the absence of adequate, tr…
Conflicted by decarbonisation: Five types of conflict at the nexus of capabilities and decentralised energy systems identified with an agent-based model
This paper explores capability conflicts in the deployment of decentralised energy systems and identifies the affected population. These systems have positive societal impacts in terms of sustainability and consumer empowerment, but they are not accessible to all and their deployment may increase socio-economic inequalities. The societal impacts of decentralised energy systems can be understood in terms of conflicting capabilities; for some citiz…
Integrating agent-based modeling, serious gaming, and co-design for planning transport infrastructure and public spaces
Psychology: The missing link in transitions research
Linking of a multi-country discrete choice experiment and an agent-based model to simulate the diffusion of smart thermostats
In this paper, we link findings from a demographically representative discrete choice experiment (DCE) in eight European countries on the adoption of smart thermostats with an agent-based model (ABM) in a methodologically consistent way. We employ the ABM to simulate the diffusion pattern of smart thermostats until 2030 and to examine the effects of subsidies and recommendations by specific agents. Our findings highlight the importance of allowin…
Understanding the embeddedness of individuals within the larger system to support the energy transition
Tracing Long-term Value Change in (Energy) Technologies: Opportunities of Probabilistic Topic Models Using Large Data Sets
We propose a new approach for tracing value change. Value change may lead to a mismatch between current value priorities in society and the values for which technologies were designed in the past, such as energy technologies based on fossil fuels, which were developed when sustainability was not considered a very important value. Better anticipating value change is essential to avoid a lack of social acceptance and moral acceptability of technolo…
Frameworks for multi-system innovation analysis from a sociotechnical perspective: A systematic literature review
This paper systematically reviews the literature on sociotechnical multi-system innovation frameworks that broaden the usual focus on one sociotechnical system to encompass influences from multiple systems. The review includes 75 peer-reviewed papers that span a broad range of energy-demanding systems and mainly build upon the core frameworks of the Multi-level Perspective (MLP) and Technological Innovation Systems (TIS). The analysis identifies …
Equity, Urgency, Affordability: An ABM Exploration of Design Principles for Collective Action Institutions in Times of Crisis
Societal inequities and barriers to participation in societal decisions mean that some people and groups have difficulty in accessing sufficient resources to meet their essential needs. This increases the vulnerability of those who lack social and political capital intimes of crises, such as climate change impact events. Collective action institutions can redress this inequity by facilitating the redistribution of essential resources from the wea…
One service fits all? Insights on demand response dilemmas of differently equipped households in Germany
Households equipped with flexible technologies, such as electric vehicles, can support the energy transition by shifting electricity consumption to times of high renewable supply and by preventing consumption peaks that cannot be covered by existing grid and generation infrastructure. Demand response services support households in performing these consumption shifts. Households ask for specifications of services that stand partly in contrast to e…
To charge or not to charge? Using Prospect Theory to model the tradeoffs of electric vehicle users
Electric vehicle (EV) users who aim to become flexibility providers face a tradeoff between staying in control of charging and minimizing their electricity costs. The common practice is to charge immediately after plugging in and use more electricity than necessary. Changing this can increase the EV’s flexibility potential and reduce electricity costs. Our extended electricity cost optimization model systematically examines how different changes …
Understanding the embeddedness of individuals within the larger system to support energy transition
Prospective life cycle and circularity assessment of circular business models using an empirically grounded agent‐based model
Despite the need for methodologies that support early‐phase decision‐making in the transition to a circular economy, current sustainability assessments often lack a prospective method that dynamically accounts for consumer decision‐making based on empirical evidence. This study addresses this need by evaluating the circularity and environmental impacts of circular business models over a 30‐year period, using an empirically grounded agent‐based mo…
Structural Sculpting: Making Inverse Modelling Generate and Deal with Variable Structures
Business (14 works) · Economics (14 works) · Computer Science (13 works) · Engineering (11 works) · Environmental economics (9 works) · Ecology (8 works) · Microeconomics (8 works) · Sociology (8 works) · Electricity (7 works) · Sustainability and Climate Change Governance (7 works)