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Enregistrement W6996110905

The real cost of conserving energy: Energy efficiency in low- income urban households (revised)

2017· report· en· W6996110905 sur OpenAlexfundno aff

Notice bibliographique

RevueOpen University of Cape Town (University of Cape Town) · 2017
Typereport
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesInternational Development Research Centre
Mots-clésEfficient energy useWork (physics)Economic efficiencyEnergy (signal processing)Cost–benefit analysisPsychological intervention
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The real cost of conserving energy v Executive summary This paper forms part of a synthesis of research on energy efficiency in low-income urban households by the Energy and Development Research Centre (EDRC).The research falls under EDRC's Energy Efficiency, Equity and Environment (E4) project, which is co:tponsored by Eskom and the International Development Research Centre of Canada.The purpose of this volume is to show the magnitude of the national benefits resulting from residential energy efficiency in low-income urban households.The report synthesises the financial and economic analysis that has been conducted for individual energy efficiency interventions over the course of the E4 project, and presents a combined economic analysis from the perspectives of the nation and Eskom.This analysis standardises many of the key assumptions and presents them systematically for the benefit of the reader.The previous reports under this research programme that are referenced include work by Simmonds (1997) on thermal improvements, Clark (1997) on energy-efficient lighting, Thome (1997) on life-cycle costs of fuel/appliance combinations, and Borchers (1997) on fuelswitching strategies.The results of the analysis show that significant economic benefits can be achieved while saving energy and avoiding generation capacity investments.Eight of the ten interventions that save energy for low-income households are less expensive than the cost of new energy supply, and the other two will also be less expensive if the use of household hot water rises with access to running hot water.A voided environmental and health risks play a major role in these benefits, but are by no means the only source of savings.Economic benefits are also apparent from Eskom's perspective, as all four interventions avoid new peak generation capacity at a lower cost than building new plants, even if Eskom subsidises the intervention heavily.This is not the case, however, with the net benefit to Eskom.Using Cost of Conserving Energy (CCE) as a measure to compare energy efficiency and fuel switching interventions with new supply, all but two of the interventions are below the benchmark values for the cost of paraffin, gas and electricity.The CCE for thermal improvements is slightly higher than the cost of new coal, but provides other comfort and health benefits.Switching from paraffin to solar hot water heating with electric backup will also be economically attractive if household hot water use rises: the same will also make switching from paraffin to gas for water heating more attractive.For the electricity sector, thermal improvements, energy-efficient lighting, and switching to gas for cooking and space heating can avoid peak capacity at or significantly below that of new plants.While switching to electric lighting from paraffin and candles will increase capacity requirements somewhat, this is small in comparison to the savings from the first four interventions.If solar hot water heaters have an electric geyser for backup, however, there is the potential for a large peak load (particularly in winter), even though annual electricity use will be small: gas or paraffin backup should be explored instead given the low cost of solar water heating.Although calculations of the cost of conserving energy are affected by changes in key input variables such as appliance cost and efficiency, the cost of conserving energy generally remains below the cost of new supply.A significant increase in the cost of a ceiling would make thermal improvements somewhat expensive, as would highly inefficiency gas appliance for switching from electricity to gas, but both of these scenarios are unlikely.The effect on Cost of A voided Peak Installed Capacity (CAPIC) from changes in appliance cost, discount rate and peak coincidence is much more significant.If the peak coincidence of power use for electric cooking and space heating were 10% lower than assumed here, the fuel switching interventions would be more expensive that a new peak power plant.To understand the magnitude of the energy saving interventions, it is useful to compare them to total national energy use.Total domestic electricity consumption

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)0,001
score de la tête « metaresearch » (Gemma)0,005
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 enseignants0,272
Score d'incertitude au seuil0,541

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,007
Études des sciences et des technologies0,0010,000
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0130,003

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 Opus0,028
Tête enseignante GPT0,243
Écart entre enseignants0,214 · 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
Publié2017
Routes d'admission1
Résumé présentnon

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