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Enregistrement W2050290137 · doi:10.3992/jgb.4.3.61

Buildings Alive! Establishing the Cost of Living Buildings Striving for Net Zero Performance

2009· article· en· W2050290137 sur OpenAlexaboutno aff
Elizabeth J Heider, Clark Brockman

Notice bibliographique

RevueJournal of Green Building · 2009
Typearticle
Langueen
DomainePhysics and Astronomy
ThématiqueSpace exploration and regulation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésArchitectural engineeringZero-energy buildingZero (linguistics)Zero emissionNet (polyhedron)Green buildingEngineeringCivil engineeringEnvironmental scienceEfficient energy useMathematicsWaste managementElectrical engineering

Résumé

récupéré en direct d'OpenAlex

Abstract Innovative ideas have helped bring us some of the most incredible technological advances the world has seen. These ideas have ranged from the practical—“classic” inventions like the telephone—to the out-of-this-world. Who would have believed 15 years ago that today, in 2009, we are literally on the cusp of space tourism. As incredible as the thinking was behind those innovations, there is another element that affects whether or not inventions catch on in a meaningful way. As remarkable as many inventions are, we know that it takes more than innovation to bring big ideas into reality—it takes a deep understanding of what things cost, and of the value that objects or ideas will deliver over time. We all have a telephone, but few of us will ever ride into space. And the reason behind this is simple: cost. Some mobile phone companies will give you a phone for “free” if you purchase an ongoing service plan and, by contrast, a ride on Virgin Galactic is likely to cost more than your home. Big, expensive, stretch goals benefit from challenges like the X Prize—the original competition that asked private entities to put someone into space and bring him or her home safely. This contest in particular, helped establish the baseline costs of private space flight. Without costs, we cannot plan. We all might say we would pay for the opportunity to go to space, but without a tangible cost of doing so, we cannot possibly be sure, or sincere. Only when a cost has been estimated, can we budget and begin to make solid plans. Unlike rocketing off into the ether, green building offers a bottom line return on investment. Green builders have already put together documented evidence of how quickly the upfront costs of building green can be recouped due to energy and resource savings—savings that have propelled the adoption of LEED standards for new construction by both public agencies and private real estate owners. But even a LEED Platinum building, as cutting edge as it is in today's market, still has a significant carbon footprint. Enter the concept of a “Living Building,” a facility that generates as much energy as it consumes and only uses as much water as falls on its site in a year. This has seemed to many to be an idea that is still quite far off. Assumed to be far too expensive to execute, Living Buildings have been considered “bleeding edge,” if not altogether impossible, mostly because of misperceptions around first cost. Without knowing what Living Buildings might truly cost and what return on investment they might provide, Living Buildings may have remained an after-dinner conversation topic rather than a discussion for the boardroom. The task of changing cultural and social paradigms like these falls to those who are willing to disprove what is perceived as impossible. In the three years since the Living Building Challenge was announced—the green building industry's “X Prize”—there has been phenomenal interest from clients and design firms attracted by the elegance and simplicity of the concept and an appreciation for the new milestone it defines on the path toward a restorative future. Often, the questions that arise after building owners begin to comprehend the magnitude of the Living Building Challenge are “What is the cost premium?” and “What might the payback be?” A study commissioned by the Cascadia Green Building Council, a chapter of both the U.S. and Canadian Green Building Councils, takes direct aim at those very questions, and the results are enlightening and encouraging.

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)0,026
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,026
Score d'incertitude au seuil0,088

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,026
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,004
Communication savante0,0120,010
Science ouverte0,0020,007
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0260,005

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 Opus0,016
Tête enseignante GPT0,264
Écart entre enseignants0,247 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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