Holistic fuzzy logic methodology to assess positive energy district (PathPED)

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dc.contributor.authorCastillo Calzadilla, Tony
dc.contributor.authorGaray Martínez, Roberto
dc.contributor.authorMartín Andonegui, Cristina
dc.date.accessioned2025-05-29T07:32:53Z
dc.date.available2025-05-29T07:32:53Z
dc.date.issued2023-02
dc.date.updated2025-05-29T07:32:53Z
dc.description.abstractClimate change is a global emergency and cities need to be reinvented in view of minimising their footprint profiling. Under this scenario urban planners, engineers and all the professionals involved in the decision-making process need new tools able to provide holistic and flexible urban perspective. The PathPED methodology provides a holistic approach that, on the one hand, uses agent based fuzzy logic methodology to define urban transition scenarios, and on the other hand, provides an assessment of urban districts in terms of the commitments adopted under Paris agreement, that is: increase of renewable, energy efficiency and carbon neutrality. The transition scenarios are defined by five smart agents (buildings, vehicles, lighting, photovoltaics and geothermal) which develop Positive Energy District (PED) scenarios for 2020, 2030 and 2050. A transient simulation is used to assess the performance of the PED in terms of yearly and monthly energy balances, ESS performance and carbon footprint. Results show that a decisive inclusion of renewable energy sources (100%), complete transition to electromobility, and substantial improvements in the energy efficiency of buildings are required to comply with the highly ambitious European commitments under Paris agreement.en
dc.description.sponsorshipCristina Martin Andonegui, Roberto Garay-Martinez and Tony Castillo-Calzadilla report financial support was provided by European Commission through ATELIER project (Grant Agreement No. 864374)
dc.identifier.citationCastillo-Calzadilla, T., Garay-Martinez, R., & Andonegui, C. M. (2023). Holistic fuzzy logic methodology to assess positive energy district (PathPED). Sustainable Cities and Society, 89. https://doi.org/10.1016/J.SCS.2022.104375
dc.identifier.doi10.1016/J.SCS.2022.104375
dc.identifier.issn2210-6707
dc.identifier.urihttp://hdl.handle.net/20.500.14454/2854
dc.language.isoeng
dc.publisherElsevier Ltd
dc.rights© 2022 The Author(s)
dc.subject.otherAgent-based model
dc.subject.otherCarbon footprint
dc.subject.otherElectro-mobility
dc.subject.otherFuzzy logic
dc.subject.otherPositive energy districts
dc.subject.otherRenewable energies
dc.titleHolistic fuzzy logic methodology to assess positive energy district (PathPED)en
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.titleSustainable Cities and Society
oaire.citation.volume89
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc-nd/4.0/
oaire.versionVoR
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