Forecast Methods and Scenarios Comparison for Renewable Energy Production

Ming Yu Li; Guang Sheng Zhang

doi:10.4028/www.scientific.net/AMR.616-618.1161

Paper Titles

A Biomass Energy Route for Refineries from a Low-Carbon Perspective
p.1137

Modeling CO₂ Emissions of Top 5 Emitters with Combination Technique
p.1143

Analysis of Embodied Energy Consumption and Greenhouse Gas (GHG) Emissions in Chinese Manufacturing Industry
p.1148

Analysis of Driving Cycles for Emission Test of Light-Duty Vehicles in China
p.1154

Forecast Methods and Scenarios Comparison for Renewable Energy Production
p.1161

Ecological Benefits of Energy Efficiency Improvement for Coal Utilization in China
p.1166

Application Technology Research and Prospective Analysis of Building Energy Consumption Database
p.1170

Discussion on Feasibility of Promotion of Low-Carbon Clothing
p.1175

Fuzzy Comprehensive Evaluation of Energy Saving and Emission Reduction Performance of Road Transport Enterprises
p.1180

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 616-618Forecast Methods and Scenarios Comparison for...

Forecast Methods and Scenarios Comparison for Renewable Energy Production

Abstract:

According to the historical data of renewable energy production and cumulative production in U.S., this paper forecasted the trend of its production after 2011. First, changes of the historical U.S. renewable energy production were analyzed. Second, growth cycle of production was confirmed based on the above analysis, and phrased production forecast was given by power fitting curve. Third, this paper presented the non-phased production forecast by the second fitting equation calculated from the ratio of production and cumulative production. Through comparing the scenarios of phased prediction and non-phased forecast, to the renewable energy production forecast released by the U.S. Department of Energy, we concludes that average curve of standard and low scenarios is more in line, and the non-phased forecast can draw the range of future production changes. Finally, impact of U.S. renewable energy development on China is studied in the discussion of the results.

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Periodical:

Advanced Materials Research (Volumes 616-618)

Pages:

1161-1165

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.616-618.1161

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Online since:

December 2012

Authors:

Ming Yu Li, Guang Sheng Zhang

Keywords:

Fitting Curve, Forecast Method, Renewable Energy Production, Scenario Comparison

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