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Record W6996110905

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

2017· report· en· W6996110905 on OpenAlexfundno aff

Bibliographic record

VenueOpen University of Cape Town (University of Cape Town) · 2017
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsEfficient energy useWork (physics)Economic efficiencyEnergy (signal processing)Cost–benefit analysisPsychological intervention
DOInot available

Abstract

fetched live from 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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.272
Threshold uncertainty score0.541

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.007
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.243
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes1
Has abstractno

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