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Agent-Based Modelling of Urban District Energy System Decarbonisation—A Systematic Literature Review

Ardak Akhatova, Lukas Kranzl, Fabian Schipfer, Charitha Buddhika Heendeniya
2022 Energies  
The analysis reveals that the most established agent-based models' focus on innovation diffusion (e.g., adoption of solar panels) and dissemination of energy-saving behaviour among a group of buildings  ...  agent-based modelling environment.  ...  Empirical data can be used to parameterise agent decision-making and provide contextual information to the model. Based on our analysis, we find significant gaps in the use of empirical data.  ... 
doi:10.3390/en15020554 fatcat:tgznq7lqkjgezeda6hhlujkpbu

Towards An Agent-Based Model On Co-Diffusion Of Technology And Behavior: A Review

Thorben Jensen, Emile Chappin
2014 ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani  
Arguing that effects of such domestic technology needs to be assessed beyond the household scale, we state the following requirements for a simulation model: it should be an agent-based model considering  ...  Bottom-up, it should base upon households of certain lifestyles, which are connected in social networks. Model rules should be rooted in socio-psychological theory.  ...  The suggested simulation model should meet the following design requirements: it should be (1) an agent-based model, (2) households should be its focal units of analysis, i.e. its agents, including (3)  ... 
doi:10.7148/2014-0782 dblp:conf/ecms/JensenC14 fatcat:zhyrst2qnjh5xmcheg6a3bo6ca

Empirically Grounded Agent-Based Models of Innovation Diffusion: A Critical Review [article]

Haifeng Zhang, Yevgeniy Vorobeychik
2017 arXiv   pre-print
We present a critical review of empirically grounded agent-based models of innovation diffusion, developing a categorization of this research based on types of agent models as well as applications.  ...  However, the agent-based modeling (ABM) paradigm is gaining popularity as it captures agent heterogeneity and enables fine-grained modeling of interactions mediated by social and geographic networks.  ...  Office of Naval Research (N00014-15-1-2621).  ... 
arXiv:1608.08517v4 fatcat:5i7wxqge2rfzdb5oothhpq3gla

Using systems engineering to create a framework for evaluating industrial symbiosis options

Bertha Maya Sopha, Annik Magerholm Fet, Martina Maria Keitsch, Cecilia Haskins
2009 Systems Engineering  
The analysis particularly Alhamdulillah, a three-year (2007-2010) work of Agent-based modeling and simulation of clean heating system adoption in Norway carried out at the Industrial Ecology Programme,  ...  This study is divided into two parts; empirical analysis and agent-based simulation.  ...  The authors wish to thank the anonymous reviewers whose insightful suggestions greatly improved an earlier version of this paper, and Cecilia Haskins for her diligent editing services.  ... 
doi:10.1002/sys.20139 fatcat:iifrr6bpsrffrorrlzpjraqo4y

Supporting Policy Design for the Diffusion of Cleaner Technologies: A Spatial Empirical Agent-Based Model

Caterina Caprioli, Marta Bottero, Elena De Angelis
2020 ISPRS International Journal of Geo-Information  
The present paper applies a hybrid agent-based model (ABM) integrated with a Geographic Information System (GIS) to simulate a complex socio-economic-architectural adaptive system to study the temporal  ...  and an adaptation of the theory of planned behavior (TPB).  ...  In this way, our hybrid agent-based model (ABM and GIS) becomes a virtual laboratory able to show empirically observed spatial and temporal patterns of PV adoption by inhabitants at the district scale.  ... 
doi:10.3390/ijgi9100581 fatcat:6c5htykh6jgkdpvwkjuwgnyvxq

Scaling up local energy infrastructure; An agent-based model of the emergence of district heating networks

Jonathan Busch, Katy Roelich, Catherine S.E. Bale, Christof Knoeri
2017 Energy Policy  
We present an agent-based model of heat network development in UK cities in which policy interventions aimed at the institutional and governance barriers faced by diverse actors can be explored.  ...  This includes, for example, district heat networks, microgeneration, demand management, smart grid technologies and small-scale storage.  ...  for Local Delivery' project (Ref.: EP/K012398/1) and an EPSRC fellowship for CSEB (EP/K022288/1).  ... 
doi:10.1016/j.enpol.2016.10.011 fatcat:3t7hdugwxnhylcby4hppbokhzy

The effect of group decisions in heat transitions: An agent-based approach

Graciela-del-Carmen Nava-Guerrero, Helle Hvid Hansen, Gijsbert Korevaar, Zofia Lukszo
2021 Energy Policy  
We use an agent-based modelling and simulation approach to explore how these individual and group decisions would influence natural gas consumption and heating costs in an illustrative neighbourhood, under  ...  We model three fiscal policies and a policy to disconnect all dwellings from the natural gas network.  ...  Acknowledgements This research was funded by the Dutch Research Council (NWO, for its initials in the Dutch language), as part of project number 14183 "Modeling Lab for smart grids, smart policies, smart  ... 
doi:10.1016/j.enpol.2021.112306 fatcat:i66fkawasjgr5o2jrdpfrykrfy

Low carbon infrastructure investment: extending business models for sustainability

Timothy J Foxon, Catherine S E Bale, Jonathan Busch, Ruth Bush, Stephen Hall, Katy Roelich
2015 Infrastructure Complexity  
District heat networks can facilitate the efficient supply of low carbon heat.  ...  Drawing on empirical interviews with local actors involved in smart grid and heat network developments, and recent work on valuation and business model canvas analysis, the paper challenges the traditional  ...  The heat networks case study was supported by the Chesshire-Lehmann Fund and the University of Leeds.  ... 
doi:10.1186/s40551-015-0009-4 fatcat:ypru6un5ezf5vjbsjksjnzjomi

An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions

Graciela-del-Carmen Nava-Guerrero, Helle Hvid Hansen, Gijsbert Korevaar, Zofia Lukszo
2022 Applied Energy  
Agent-based modelling of multi-criteria individual and group decisions in heat transitions. • Combinations of fiscal policies, heat networks' regulation, and subsidies could influence transitions. • Steering  ...  heat transitions mainly with financial policies could prove ineffective. • Different preferences of households can influence energy transitions.  ...  Acknowledgements This research was funded by the Dutch Research Council (NWO, for its initials in the Dutch language), as part of project number 14183 "Modeling Lab for smart grids, smart policies, smart  ... 
doi:10.1016/j.apenergy.2021.118118 fatcat:3l5jps6hqnaznghxhrmiugqvkq

Analysis of rooftop photovoltaics diffusion in energy community buildings by a novel GIS-and Agent-Based Modeling co-simulation platform

daniele salvatore schiera, francesco demetrio minuto, lorenzo bottaccioli, romano borchiellini, andrea lanzini
2019 IEEE Access  
The present work introduces an empirically ground agent-based modeling (ABM) framework to assess the spatial and temporal diffusion of rooftop photovoltaic (PV) systems on existing buildings of a city  ...  INDEX TERMS Agent-based modeling, complex adaptive systems, consumer behavior, distributed power generation, energy technology diffusion, geospatial analysis, photovoltaic systems, public policy, sustainable  ...  SWN PARAMETERS SENSITIVITY: R AND RW The parameters r [m] and rw modify the creation of the agents' social networks, based on Small-World Network [36] .  ... 
doi:10.1109/access.2019.2927446 fatcat:yck477t5azbq3izab2t7wji2ji

Carbon constrained design of energy infrastructure for new build schemes

M.T. Rees, J. Wu, N. Jenkins, M. Abeysekera
2014 Applied Energy  
An integrated design tool was developed by combining a social cognitive optimisation solver, an infrastructure model and a set of analysis modules to provide the technical design, the evaluation of greenhouse  ...  h i g h l i g h t s An optimised design model was developed for new build energy distribution schemes. The carbon constrained design was examined for a real case study at Ebbw Vale, UK.  ...  (HiDEF) EP/G031681/1, and the Energy Networks Hub (HubNet) EP/I013636/1.  ... 
doi:10.1016/j.apenergy.2013.08.059 fatcat:sfibx5qfbvdx5j4zzbxxj4ymci

Agent-based modelling of the social dynamics of energy end use [chapter]

Émile J.L. Chappin, Igor Nikolic, Neil Yorke-Smith
2020 Energy and Behaviour  
Adopting an STS perspective implies that we understand and model parts of the man-made world as systems composed of two deeply interconnected subsystems: a social network of actors and a physical network  ...  s (2011) work was one of the first uses of agent-based modelling for studying in detail end-user adoption of such EVs, which combine a petrol engine with an electric engine.  ... 
doi:10.1016/b978-0-12-818567-4.00029-6 fatcat:guhzbilvtnh7ll4mh2d65ihoi4

Evaluation of the impact of input uncertainty on urban building energy simulations using uncertainty and sensitivity analysis

Enrico Prataviera, Jacopo Vivian, Giulia Lombardo, Angelo Zarrella
2022 Applied Energy  
Uncertainty and Sensitivity Analysis were applied to an UBEM. • National survey and literature were used for Forward Uncertainty Analysis. • Results were analysed using fine temporal resolution on each  ...  building. • Uncertainty Analysis improves energy needs and peak power calculation. • Sensitivity Analysis allows finding the most influential uncertain parameters. • The procedure does not rely on metered  ...  Levi Cases" of the University of Padova within the Regional Project GHOTEM (POR-FESR 2014-2020, ID  ... 
doi:10.1016/j.apenergy.2022.118691 fatcat:usfhz5q24fd4ngok4vi5h2ck6m

Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach

Ali Alderete Peralta, Nazmiye Balta-Ozkan, Philip Longhurst
2022 Applied Energy  
Integrated agent-based and artificial neural networks model for solar PV adoption. • The agents' adoption process is characterised using past experiences. • Spatio-temporally explicit estimations for up  ...  to five months with accuracy of 80%. • Integrated ABM and ANN model has adaptive capabilities over other diffusion models. • Income, electricity usage and average household size variables yield best results  ...  Methodology Here the authors propose an integrated agent-based modelling and artificial neural networks to characterise the spatio-temporal adoption patterns of PVs.  ... 
doi:10.1016/j.apenergy.2021.117949 fatcat:lebhuvomwjhtldi53rjti236sm

Advanced Control and Fault Detection Strategies for District Heating and Cooling Systems—A Review

Simone Buffa, Mohammad Hossein Fouladfar, Giuseppe Franchini, Ismael Lozano Gabarre, Manuel Andrés Chicote
2021 Applied Sciences  
also on both fourth and fifth generation district heating and cooling networks.  ...  Peak shaving, demand response, fast fault detection, emissions and costs reduction are some of the main objectives to meet in advanced district heating and cooling (DHC) systems.  ...  of an intelligent agent is challenging.  ... 
doi:10.3390/app11010455 fatcat:5xur4nlqv5cydg2g5xrk5jay6u
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