L. Andrew Bollinger
L. Andrew Bollinger
Scientist, Urban Energy Systems Laboratory, Empa
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Cited by
Cited by
Cradle-to-cradle design: creating healthy emissions–a strategy for eco-effective product and system design
M Braungart, W McDonough, A Bollinger
Journal of cleaner production 15 (13-14), 1337-1348, 2007
Climate adaptation of interconnected infrastructures: a framework for supporting governance
LA Bollinger, CWJ Bogmans, EJL Chappin, GPJ Dijkema, JN Huibregtse, ...
Regional environmental change 14 (3), 919-931, 2014
Market integration of local energy systems: Is local energy management compatible with European regulation for retail competition?
C Eid, LA Bollinger, B Koirala, D Scholten, E Facchinetti, J Lilliestam, ...
Energy 114, 913-922, 2016
Modeling metal flow systems: Agents vs. equations
LA Bollinger, C Davis, I Nikolić, GPJ Dijkema
Journal of Industrial Ecology 16 (2), 176-190, 2012
A holarchic approach for multi-scale distributed energy system optimisation
JF Marquant, R Evins, LA Bollinger, J Carmeliet
Applied energy 208, 935-953, 2017
The state of the states: data-driven analysis of the US Clean Power Plan
C Davis, LA Bollinger, GPJ Dijkema
Renewable and Sustainable Energy Reviews 60, 631-652, 2016
Evaluating infrastructure resilience to extreme weather–the case of the Dutch electricity transmission network
LA Bollinger, GPJ Dijkema
European Journal of Transport and Infrastructure Research 16 (1), 2016
Multimodel ecologies: cultivating model ecosystems in industrial ecology
LA Bollinger, I Nikolić, CB Davis, GPJ Dijkema
Journal of Industrial Ecology 19 (2), 252-263, 2015
HUES: A holistic urban energy simulation platform for effective model integration
Proceedings of International Conference CISBAT 2015 Future Buildings and …, 2015
Growing cradle-to-cradle metal flow systems: An application of agent-based modeling and system dynamics to the study of global flows of metals in mobile phones
LA Bollinger
Delft University of Technology, Leiden University, 2010
The Ehub Modeling Tool: A flexible software package for district energy system optimization
LA Bollinger, V Dorer
Energy Procedia 122, 541-546, 2017
An energy systems modelling tool for the social simulation community
LA Bollinger, MJ van Blijswijk, GPJ Dijkema, I Nikolic
Journal of Artificial Societies and Social Simulation 19 (1), 1, 2016
Ten questions concerning modeling of distributed multi-energy systems
G Mavromatidis, K Orehounig, LA Bollinger, M Hohmann, JF Marquant, ...
Building and Environment 165, 106372, 2019
Facilitating model reuse and integration in an urban energy simulation platform
LA Bollinger, R Evins
Procedia Computer Science 51, 2127-2136, 2015
A new combined clustering method to Analyse the potential of district heating networks at large-scale
JF Marquant, LA Bollinger, R Evins, J Carmeliet
Energy 156, 73-83, 2018
Multi-model ecologies for shaping future energy systems: Design patterns and development paths
LA Bollinger, CB Davis, R Evins, EJL Chappin, I Nikolic
Renewable and Sustainable Energy Reviews 82, 3441-3451, 2018
Multi-agent reinforcement learning for optimizing technology deployment in distributed multi-energy systems
LA Bollinger, R Evins
23rd International Workshop of the European Group for Intelligent Computing …, 2016
Resilience and adaptability of infrastructures: A complex adaptive systems perspective
LA Bollinger, GPJ Dijkema
CESUN 2012: 3rd International Engineering Systems Symposium, Delft …, 2012
Fostering climate resilient electricity infrastructures
LA Bollinger
Next Generation Infrastructures Foundation, 2015
Informing agent based models with discrete choiceanalysis: diffusion of solar PV in the Netherlands
Y Araghi, E Park Lee, LA Bollinger
Social Simulation Conference, 2014
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