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Enregistrement W4402836845 · doi:10.3389/fbuil.2024.1487696

Editorial: Solar neighborhood planning: optimize solar energy use in cities through the digitalization of the built environment

2024· editorial· en· W4402836845 sur OpenAlexaffabout
Gilles Desthieux, Mattia Manni, Gabriele Lobaccaro, Caroline Hachem-Vermette, Silvia Croce, Martin Thebault, Jouri Kanters

Notice bibliographique

RevueFrontiers in Built Environment · 2024
Typeeditorial
Langueen
DomaineEngineering
ThématiqueBuilding Energy and Comfort Optimization
Établissements canadiensConcordia University
Organismes subventionnairesnon disponible
Mots-clésArchitectural engineeringSolar energyPhotovoltaic systemEngineeringEngineering physicsEnvironmental scienceComputer scienceElectrical engineering

Résumé

récupéré en direct d'OpenAlex

develop a digital platform to support to key players in urban energy planning to achieve the solar neighborhood standards, thus boosting the solar energy in the Nordic built environment. Wall (2024) presents the key points of IEA SHC Task 63, emphasizing the need to secure the "right to light" for everyone. Indeed, guaranteeing the solar access is the preliminary step for boosting solar energy generation and achieving adequate daylighting in a healthy environment (both indoor and outdoor). In addition, climate change and heat wave events highlight the need for "right to shade", especially in the context of urban heat island. However, there is a lack of specific standards to preserve these rights. Secondly, solar design involves not only active energy production with PV and thermal panels integrated into the building envelope, but also passive strategies that use sunlight to improve indoor and outdoor comfort while reducing energy consumption for heating, cooling, and lighting. (Hachem-Vermette et al., 2024). Further issues arise about competing uses of urban surfaces (Croce et al., 2022) as the same surface can have multiple potential usages (e.g., vegetation or solar panels). In this regard, combining two or more solar strategies can be a solution. Additionally, solar neighborhood planning needs to be supported by digital tools and key metrics (Kanters et al., 2022;2024) to (i) facilitate stakeholder engagement and citizen participation in the design process (Caballero et al., 2024), (ii) promote social acceptance of solar applications, and (iii) support communities in developing roadmaps for solar energy implementation. Finally, Task 63 explored innovative financing mechanisms and business models for solar neighborhoods to ensure long-term viability and to include and clarify added value (e.g., human health and well-being, resilience, energy security, biodiversity) (Wilczynski, 2024).The special issue contains a total of seven papers, three review papers and four original contributions.The review papers present global approaches and theoretical backgrounds that are central to solar neighborhood planning.Hachem-Vermette et al. review regulatory frameworks in five countries (Canada, Italy, Norway, Sweden, and Switzerland) related to solar access, passive, active, and general building energy regulations. They identify gaps in existing regulations, standards, and codes, and emphasize the need for future regulations to protect solar access and rights. The study reveals that solar energy legislation is generally scarce, lacks comprehensive planning, and is highly dependent on the national policy system -centralized or federal.reviewed 112 publications focusing on the model chain for horizontal-totilted irradiance conversion at high latitudes. The best-performing decomposition and transposition models were identified, considering multiple time resolutions (one-hour, one-minute) and specific configurations such as east-west (E-W) vertical bifacial photovoltaics (VBPV). This aspect is central, since the accuracy of the estimated solar potential influences the solar neighborhood planning.The main challenge in implementing solar energy in the existing built environment is the growing number of buildings classified as cultural heritage in Europe. Akbarinejad et al. review the economic, geographical, technical, conservative, legislative, and social challenges and barriers of adopting solar energy in high-sensitive neighborhoods in Norway. Potential solutions and strategies are identified to help stakeholders, experts, and authorities in successfully integrating solar energy systems in these areas.The second group of papers in the special issues showcase innovative concepts and applications at three different scales: regional, urban and neighborhood, group of buildings.Desthieux and Thebault present the project of the solar cadaster of the Greater Geneva (Switzerland and France). A major outcome was the creation of a public web platform that allows the simulation of PV self-consumption for each building in the region, providing key performance indicators for investment decisions. The project demonstrates that the solar cadaster fosters cohesion among local stakeholders, guiding them towards unified solar energy governance.Hasan et al. examine the relationship between density metrics and the solar potential of building rooftops and facades in Toronto (Canada). The study identifies key metrics affecting roof solar potential, including building height, density, proximity, and roof complexity. Using simulation models, it highlights which neighborhood profiles are best suited for retrofitting active solar technologies. This research offers a valuable framework for solar neighborhood design, particularly in existing urban areas like Toronto.The study by Viriyaroj et al. evaluates installation sites for VBPVs in low-rise urban neighborhoods at high latitudes. It highlights that E-W VBPVs align with residential electricity consumption, boosting self-consumption in areas with low solar elevation angles. The research compares VBPVs and monofacial PVs in three residential areas of Helsinki with different densities and shading. Simulations using PVSyst® reveal VBPV systems should be prioritized for unshaded areas.The study by Ranta et al. highlights the need to explore alternative surfaces for solar PV installations, like carports, and proposes reducing the greenhouse gas (GHG) emissions of these structures by substituting steel with wood. Simulations performed for Turku (Finland) and Dijon (France) showed that wood-based systems can halve the GHG emissions.In conclusion, many of the papers show the importance of digital tools for modeling solar access in the built environment. They also highlight that the implementation of solar solutions in the neighborhoods depends on the successful empowerment of stakeholders, especially when facing constraints and barriers. All these contributions cover large parts of the special issue topics focusing mostly on active solar strategies. Finally, four papers highlight the growing interest in solar energy at high latitudes as these regions present a unique solar irradiance pattern that can be particularly convenient for VBPV.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,019
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,030
Score d'incertitude au seuil0,102

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,019
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,003
Communication savante0,0080,005
Science ouverte0,0040,002
Intégrité de la recherche0,0170,020
Charge utile insuffisante (le modèle a refusé de juger)0,0300,022

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,190
Écart entre enseignants0,182 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission2
Résumé présentoui

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