Residential energy demand and the interaction of price and temperature: British experimental evidence

Henley, Andrew; Peirson, John

doi:10.1016/s0140-9883(97)00025-x

Cited by 63 publications

(25 citation statements)

References 14 publications

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“…The correlation between daily mean near-surface air temperature (Ta) and peak electricity demand during such T90 heat extremes suggests the potential for significant temperature-driven increases in future electricity demand for air conditioning [Balzer et al 1996, Amato et al 2005, Mendelsohn and Neumann, 1999, Rosenthal and Gruenspecht. 1995Henley and Peirson, 1998, Cartalis, et al 2001, Valor et al 2001. For example, Colombo et al [1999] analyzed the frequency of extreme heat and electricity demand for nine Canadian cities using the current climate and a warmer climate based on a doubling in atmospheric greenhouse gas (GHG) emissions.…”

Section: Introductionmentioning

confidence: 99%

Climate, Extreme Heat, and Electricity Demand in California

Miller

Hayhoe

Jin

et al. 2008

Journal of Applied Meteorology and Climatology

184

105

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Climate projections from three atmosphere-ocean climate models with a range of low to mid-high temperature sensitivity forced by the Intergovernmental Panel for Climate Change SRES higher, middle, and lower emission scenarios indicate that, over the 21 st century, extreme heat events for major cities in heavily air-conditioned California will increase rapidly. These increases in temperature extremes are projected to exceed the rate of increase in mean temperature, along with increased variance. Extreme heat is defined here as the 90 percent exceedance probability suggests that peak electricity demand will challenge current supply, as well as future planned supply capacities when population and income growth are taken into account.

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Section: Introductionmentioning

confidence: 99%

Climate, Extreme Heat, and Electricity Demand in California

Miller

Hayhoe

Jin

et al. 2008

Journal of Applied Meteorology and Climatology

184

105

View full text Add to dashboard Cite

show abstract

“…Results in Ref. [2] confirm that consumer responses to higher electricity prices are conditional on temperature levels, particularly during the daytime and for households with high overall levels of electricity consumption and previous experience of time-of-use tariffs. The relationship between electricity load and air temperature has an important dynamic component, and ignoring this appears to bias the estimated effects of temperature on load [3].…”

Section: Introductionmentioning

confidence: 74%

Numerical Computation and Prediction of Electricity Consumption in Tobacco Industry

et al. 2017

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“…There are observed correlations elsewhere in the world between daily temperature and peak electricity demand during the summer, which suggest the potential for large increases in future electricity demand for air conditioning (Belzer et al 1996, Amato et al 2005, Mendelsohn and Neumann 1999, Rosenthal et al 1995, Henley and Peirson 1998, Cartalis et al 2001, Sailor 2001, Valor et al 2001, Colombo et al 1999, Ruth and Lin 2006. These projected increases in peak electricity demand raise concerns about energy shortages and the ability of energy infrastructure, refinery capacity, and electricity line transmission system to meet such increased demand.…”

Section: Energy Demandmentioning

confidence: 99%

iRESM INITIATIVE UNDERSTANDING DECISION SUPPORT NEEDS FOR CLIMATE CHANGE MITIGATION AND ADAPTATION --US Midwest Region?

Rice¹,

Runci²,

Moss³

et al. 2010

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The increasing interest in regional modeling of climate change and associated decisions regarding mitigation and adaptation highlights the need to address the uncertainties that persist in projecting future climate change. Decision makers need tools and information to evaluate the implications of uncertainty for decisions that must be made before uncertainties can be reduced or resolved.Through its integrated Regional Earth System Model (iRESM) initiative, PNNL is developing a modeling framework to address regional human-environmental system interactions in response to climate change and related uncertainties. This framework is intended as a research tool for the scientific community to explore regional mitigation and adaptation decisions, constraints, and opportunities under alternate climate policy and climate change futures. The initiative is also intended to encompass research into regional decision makers' needs for information and analysis regarding mitigation and adaptation in the context of uncertainty. This research will help guide the development of iRESM's capabilities and the communication of its results. This paper presents the results of the initial research into decision support needs for the first iRESM pilot region: the US Midwest. The region is defined to include the following 14 states: Kentucky, Illinois, Indiana, Iowa, Michigan, Minnesota, Nebraska, New York, North Dakota, Ohio, Pennsylvania, South Dakota, West Virginia, and Wisconsin.The research includes interviews with regional stakeholders and a review of the published literature on mitigation and adaptation alternatives in the Midwest. The findings show that researchers as well as decision and policy makers in the Midwest are concerned about climate change impacts across a wide range of human and environmental systems and are focused on understanding the primary mitigation and adaptation opportunities and challenges within the region.The primary systems of concern for adaptation are in the areas of water resources, urban infrastructure, agriculture, recreation, ecosystems, forest management, and transportation. Potential adaptations include infrastructure modifications, technological developments, institutional changes, and ecosystem protection, enhancement, and manipulation. In the area of mitigation, the primary issues and uncertainties generally are related to: a. differential state renewable portfolio standards (RPS) b. the relative economics of technologies that reduce or eliminate GHG emissions compared to traditional technologies c. the viability of carbon storage alternatives (in both geological formations and terrestrial ecosystems).The findings demonstrate a need for better information on the interactions of socioeconomic development, climate change, natural resources, and adaptation and mitigation options. To support policy, investment, and risk management decisions, models of human and environmental systems at the regional scale such as iRESM need to be developed to better integrate climate, ecosystem, and energyecon...

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Residential energy demand and the interaction of price and temperature: British experimental evidence

Cited by 63 publications

References 14 publications

Climate, Extreme Heat, and Electricity Demand in California

Climate, Extreme Heat, and Electricity Demand in California

Numerical Computation and Prediction of Electricity Consumption in Tobacco Industry

iRESM INITIATIVE UNDERSTANDING DECISION SUPPORT NEEDS FOR CLIMATE CHANGE MITIGATION AND ADAPTATION --US Midwest Region?

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