Modeling climate feedbacks to electricity demand: The case of China

Asadoorian, Malcolm O.; Eckaus, Richard S.; Schlosser, C. Adam

doi:10.1016/j.eneco.2007.02.003

Cited by 45 publications

(38 citation statements)

References 13 publications

(15 reference statements)

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“…The same high 17 temporal resolution is required for assessments of future HCED. The issue of creating weather 18 data sets for the future is far from trivial, since output from climate models is rarely delivered 19 at the hourly level. The hourly scenario weather data should be consistent with climate model 20 projections.…”

Section: Submitted To Energy and Buildingsmentioning

confidence: 99%

Energy demand for the heating and cooling of residential houses in Finland in a changing climate

Jylhä

Jokisalo

Ruosteenoja

et al. 2015

Energy and Buildings

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Section: Submitted To Energy and Buildingsmentioning

confidence: 99%

Energy demand for the heating and cooling of residential houses in Finland in a changing climate

Jylhä

Jokisalo

Ruosteenoja

et al. 2015

Energy and Buildings

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“…Due to the nature of residential demand of electricity in some countries, a number of studies [15,16,17,18] have used the weather variations to explain electricity consumption. Zachariadis and Pashourtidou [19] used annual data to estimate the electricity demand of the residential and service sector of Cyprus.…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Aggregate electricity demand in South Africa: Conditional forecasts to 2030

Inglesi

2010

Applied Energy

116

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In 2008, South Africa experienced a severe electricity crisis. Domestic and industrial electricity users had to suffer from black outs all over the country. It is argued that partially the reason was the lack of research on energy, locally. However, Eskom argues that the lack of capacity can only be solved by building new power plants.The objective of this study is to fill part of the gap of the energy research in the country. By using the Engle Granger methodology for co-integration and Error Correction Models, the variables that explain the aggregate electricity use in South Africa during the period 1980-2005 are examined. Furthermore, we make conditional forecasts of electricity consumption based on the current energy policiesThe findings indicate that there is a long run relationship between electricity consumption and price as well as economic growth/income. The last few years in South Africa, price elasticity was rarely taken into account because of the low and decreasing prices in the past. The short-run dynamics of the system are affected by population growth, too After the energy crisis, Eskom, the national electricity supplier, is in search for substantial funding in order to build new power plants that will help with the envisaged lack of capacity that the company experienced. By using two scenarios for the future of growth, this study shows that the electricity demand will drop substantially due to the price policies agreed -until now-by Eskom and the National Energy Regulator South Africa (NERSA) that will affect the demand for some years.

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“…This paper focuses solely on the residential sector. Several studies found that the industrial demand for energy does not respond very much to prices changes (Liu, 2002) and to temperature variations Asadoorian et al, 2006). Therefore, all data in the panel refer to the residential sector.…”

Section: Discussionmentioning

confidence: 99%

“…If the objective is the determination of energy demand sensitivity to temperature, it may be more appropriate to directly consider temperature levels. This approach, followed by part of the literature (Moral-Carcedo and VicensOtero, 2005;Mansur et al, 2004;Henley and Peirson, 1998;Asadoorian et al, 2006), is adopted in this paper.…”

Section: Cooling Versus Heatingmentioning

confidence: 99%

“…The literature encompasses engineering models (Rosenthal et al, 1995), case studies (Smith and Tirpak, 1989) and surveys (Cline, 1992;Nordhaus, 1991). Only recently some quantitative studies have become available (Asadoorian et al, 2006;Mansur et al, 2004). Most of these studies have a high level of spatial and temporal detail but are, unfortunately, unsuited for the assessment of climate change, as they typically focus on a single country and have a short-run time perspective.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Impact of Temperature Change on Energy Demand: A Dynamic Panel Analysis

2007

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in SummaryThis paper presents an empirical study of energy demand, in which demand for a series of energy goods (Gas, Oil Products, Coal, Electricity) is expressed as a function of various factors, including temperature. Parameter values are estimated econometrically, using a dynamic panel data approach. Unlike previous studies in this field, the data sample has a global coverage, and special emphasis is given to the dynamic nature of demand, as well as to interactions between income levels and sensitivity to temperature variations. These features make the model results especially valuable in the analysis of climate change impacts. Results are interpreted in terms of derived demand for heating and cooling. Non-linearities and discontinuities emerge, making it necessary to distinguish between different countries, seasons, and energy sources. Short-and longrun temperature elasticities of demand are estimated.

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Modeling climate feedbacks to electricity demand: The case of China

Cited by 45 publications

References 13 publications

Energy demand for the heating and cooling of residential houses in Finland in a changing climate

Energy demand for the heating and cooling of residential houses in Finland in a changing climate

Aggregate electricity demand in South Africa: Conditional forecasts to 2030

The Impact of Temperature Change on Energy Demand: A Dynamic Panel Analysis

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