Role of energy efficiency standards in reducing CO2 emissions in Germany: An assessment with TIMES

Blesl, Markus; Das, Anjana; Fahl, Ulrich; Remme, Uwe

doi:10.1016/j.enpol.2006.05.013

Cited by 115 publications

(41 citation statements)

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“…The TIMES_PT is an implementation of the TIMES family of models developed by ETSAP of IEA which has been implemented at global, regional or national level (ETSAP, 2008), namely for the whole of UE (Pan European Times model from the NEEDS project) or for the countries Spain (Labriet, et al, 2010), Belgium (Proost, et al, 2009) or Germany (Blesl, et al, 2007), among other EU countries. It considers both the supply and demand sides and disaggregates the energy demand sectors.…”

Section: Methodsmentioning

confidence: 99%

The Medium to Long-Term Role of Renewable Energy Sources in Climate Change Mitigation in Portugal

Simėes

Seixas

Fortes

et al. 2011

Linköping Electronic Conference Proceedings

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Portuguese policy-makers have adopted ambitious targets for RES promotion until 2020, but there are no national targets for the medium to long -term (2050) and it is not clear to what extent which RES can contribute to CC mitigation. This paper aims to assess the contribution of RES for the CC mitigation in Portugal until 2050, under cost-effectiveness criteria. The TIMES_PT linear optimization bottom-up technology model was used to generate six scenarios to 2050 combining GHG emission caps, levels of socio-economic growth and share of RES electricity. In order to meet the 2050 energy demand, the share of RES in primary energy consumption increases 4 to 6 times from 2005 and in final energy grows from 15% in 2005 to 56-59% in 2050. RES were found to be cost-effective even without a GHG cap. Regarding CC mitigation the high RES shares in final energy correspond to less 49-74% GHG emissions in 2050 compared to a baseline without cap. The role of renewable electricity is determinant to mitigate CC especially due to hydro and onshore wind. Other important deployments of RES technologies are solar water heating and heat pumps in buildings, biomass use for process heat in industry and biodiesel in transport.

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Section: Methodsmentioning

confidence: 99%

The Medium to Long-Term Role of Renewable Energy Sources in Climate Change Mitigation in Portugal

Simėes

Seixas

Fortes

et al. 2011

Linköping Electronic Conference Proceedings

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“…Methods like the LMDI and STIRPAT models are widely used to identify impact factors of CO 2 emissions. The representative models include Laspeyres method [8], total factor energy efficiency index [9], grey forecasting model [10], TIMES model [11], data envelopment analysis [12], multiple linear regression, binary choice model, and ordinal choice regression [13], and so on. Above all, STIRPAT models with an increasingly dominant status examining the impact factors has been proven more reliable than LMDI models [14,15].…”

Section: Literature Reviewmentioning

confidence: 99%

Factor Decomposition Analysis of China's Energy-Related CO2 Emissions Using Extended STIRPAT Model

Wen¹,

Cao²

2015

Pol. J. Environ. Stud.

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Excessive growth of energy use has made the greatest impact on the environment of any human living environment, especially the greenhouse effect. Global warming has come to the forefront of policy debates on international and national levels, thus seriously affecting people's living environment and energy sustainability. Global warming is being driven by greenhouse gases (GHG) growth, most notably CO 2 emissions that account for 56% of the greenhouse effect among six kinds of GHG. Anthropogenic activities -more specifically fossil fuels combustion and consequent carbon emissions -are responsible for significant warming of the global climate.The 2009 Copenhagen Agreement has urged the Chinese government to commit to a significant cut in carbon intensity of at least 40% by 2020 from 2005 levels. Since the Copenhagen Agreement, the persistent combustion of fossil fuels responsible for greenhouse gas growth has made China a focal point of international attention. During the past 20 years, China's economic development has shown an overreliance on energy consumption with annual growth rate of energy consumption approaching 6.3% since 1991. Accordingly, CO 2 emissions have increased sharply and pose a significant problem as far as energy conservation and emission reduction are restrictive in China.Pol. J. Environ. Stud. Vol. 24, No. 5 (2015), [2261][2262][2263][2264][2265][2266][2267] AbstractFor the purpose of diminishing the growing impact of energy use on the environment and providing policy focus in China, this study decomposes impact factors of energy-related CO 2 emissions into nine parts using various economic methods, typically using the extended stochastic impacts by regression on population, affluence, and technology (STIRPAT) model to incorporate necessary factors and ridge regression to eliminate multicollinearity. Results indicate the positive and conversely inhibitory impact factors, which we sort by influencing degrees as: total population, industrialization level, service level, energy consumption structure, urbanization level, GDP per capita, capital asserts investment, foreign trade degree, and technology level. Factors excluding technology level and energy consumption structure are main positive determinants of accelerated CO 2 emissions. Above all, total population has the greatest interpretative ability. Given these regression results, policy proposals concerning key impact factor regulations are provided to maintain carbon emission abatement and sustainability.

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“…Moreover, during the last decade, the energy policy of Germany has been strongly influenced by environmental issues, and the German government has consecutively introduced various acts related to renewable energy and energy efficiency. During 1999, to stimulate energy conservation, energy efficiency, and the application of renewable energy technologies, the German government introduced the Eco-tax, which subsequently became the Renewable Energy Act, which targets a short-term goal of doubling renewable power generation by 2010, together with an intermediate-term goal of increasing renewable power generation capacity to 20% of total power generation capacity by 2020 (Blesl et al, 2007 Figure 10 shows the kinds of internal measures and actions the manufacturing industries would consider to increase energy efficiency performance. In the German case, the most important internal measures in order of importance are energy management systems, energy efficiency investments, and changes in machinery and equipment.…”

Section: Cus: Changes In Upstream Sector (Energy Prices) Ir: Institumentioning

confidence: 99%

Factors Influencing Energy Efficiency in the German and Colombian Manufacturing Industries

Martínez¹

2010

Energy Efficiency

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Role of energy efficiency standards in reducing CO2 emissions in Germany: An assessment with TIMES

Cited by 115 publications

References 2 publications

The Medium to Long-Term Role of Renewable Energy Sources in Climate Change Mitigation in Portugal

The Medium to Long-Term Role of Renewable Energy Sources in Climate Change Mitigation in Portugal

Factor Decomposition Analysis of China's Energy-Related CO2 Emissions Using Extended STIRPAT Model

Factors Influencing Energy Efficiency in the German and Colombian Manufacturing Industries

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