Residential Natural Gas Consumption: Evidence That Conservation Efforts to Date Have Failed

Lehman, Richard; Warren, Henry E.

doi:10.1126/science.199.4331.879

Cited by 11 publications

(2 citation statements)

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“…Empirically determined relationships between heating degree-days and fuel consumption (Lehman and Warren, 1978;Quayle and Diaz, 1980) can then be applied to the population-weighted heating degree-day values to estimate current or future requirements.…”

Section: Discussionmentioning

confidence: 99%

Population‐weighted heating degree‐days for Canada

Taylor

1981

Atmosphere-Ocean

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The use of population-weighted heating degree-days provides a more realistic estimate of the potential fuel demand for residential heating on a regional, provincial or national basis than the use of unweighted, site-specific heating degreeday values. A population-weighted heating degree-day programme is already in existence in the United States. The present study has prepared the basic data required to develop a similar programme for Canada using the 1976 Canadian census statistics and the heating degree-day values for approximately 100 synoptic weather stations across the country. RÉSUMÉ L'utilisation des degrés-jours de chauffe, pondérés en fonction de la population, permet une estimation plus exacte de la demande possible en combustible pour le chauffage résidentiel sur une base régionale, provinciale ou nationale que l'utilisation de degrés-jours de chauffe non pondérés et propres à un emplacement. Il existe déjà aux États-Unis un programme de degrés-jours de chauffe pondérés en fonction de la population. Dans la présente étude, on a préparé les données de base requises pour élaborer un programme comparable au Canada en utilisant les statistiques canadiennes de recensement de 1976 et les valeurs de degrés-jours de chauffe d'environ 100 stations météorologiques synoptiques d'un bout à l'autre du pays.

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Section: Discussionmentioning

confidence: 99%

Population‐weighted heating degree‐days for Canada

Taylor

1981

Atmosphere-Ocean

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“…The engineering basis for this approach is developed by Harris et al (1965) and its empirical power is demonstrated shortly after the first oil price shock (e.g. Mitchell et al (1974); Lehman and Warren, 1978;Quayle and Diaz, 1980;Lecomte and Warren, 1981). Based on this success, using statistical techniques to quantify the relation between heating and/or cooling degree days and energy consumption is the standard methodology used by those seeking to assess the effect of climate change on energy consumption (e.g.…”

Section: Introductionmentioning

confidence: 99%