Forecasting renewable energy production in the US

被引:24
|
作者
Daim, Tugrul [1 ]
Harell, Georgina [1 ]
Hogaboam, Liliya [1 ]
机构
[1] Portland State Univ, Portland, OR 97207 USA
来源
FORESIGHT | 2012年 / 14卷 / 03期
关键词
Technology-led strategy; Energy management; Forecasting; United States of America; Renewable energy;
D O I
10.1108/14636681211239764
中图分类号
TU98 [区域规划、城乡规划];
学科分类号
0814 ; 082803 ; 0833 ;
摘要
Purpose - This paper aims to present a forecast for renewable energy production in the USA. Growth curves are used to conduct the forecasts. Design/methodology/approach - The analysis is based upon a literature review, supplemented by collection of secondary data. The study then focuses on applying the Pearl growth curve. Findings - The authors' results show that biomass energy production is growing the fastest followed by geothermal and wind. Additionally, the forecast for solar energy production shows little to no growth over the next two decades. Research limitations/implications - If the US government hopes to achieve its goals in renewable energy, considerable funding and incentives will have to be put forth to accelerate the growth of renewable energy. Since the biomass technology is already growing nicely it makes sense to put the additional resources behind the other three technologies to close the 10.3 percent gap being forecasted. The government also needs to put more funding into dual renewable plants such as wind or solar combines with pumped hydro, this will ensure environmental and reliability are both maintained. Finally, for renewable energies to be competitive in the long term, considerable research needs to go into driving down the cost so there is not a need for subsidies. Originality/value - This study provides value in providing a forecast for expected future growth for renewable energy sources.
引用
收藏
页码:225 / 241
页数:17
相关论文
共 50 条
  • [1] Estimating and forecasting the impact of nonrenewable energy prices on US renewable energy consumption
    Atems, Bebonchu
    Mette, Jehu
    Lin, Guoyu
    Madraki, Golshan
    [J]. ENERGY POLICY, 2023, 173
  • [2] Are fluctuations in US production of renewable energy permanent or transitory?
    Lean, Hooi Hooi
    Smyth, Russell
    [J]. APPLIED ENERGY, 2013, 101 : 483 - 488
  • [3] Advancing Renewable Energy Forecasting: A Comprehensive Review of Renewable Energy Forecasting Methods
    Teixeira, Rita
    Cerveira, Adelaide
    Pires, Eduardo J. Solteiro
    Baptista, Jose
    [J]. ENERGIES, 2024, 17 (14)
  • [4] Forecasting the Structure of Energy Production from Renewable Energy Sources and Biofuels in Poland
    Brodny, Jaroslaw
    Tutak, Magdalena
    Saki, Saqib Ahmad
    [J]. ENERGIES, 2020, 13 (10)
  • [5] The future of forecasting for renewable energy
    Sweeney, Conor
    Bessa, Ricardo J.
    Browell, Jethro
    Pinson, Pierre
    [J]. WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT, 2020, 9 (02)
  • [6] Forecasting of non-renewable and renewable energy production in India using optimized discrete grey model
    Alok Kumar Pandey
    Pawan Kumar Singh
    Muhammad Nawaz
    Amrendra Kumar Kushwaha
    [J]. Environmental Science and Pollution Research, 2023, 30 : 8188 - 8206
  • [7] Forecasting of non-renewable and renewable energy production in India using optimized discrete grey model
    Pandey, Alok Kumar
    Singh, Pawan Kumar
    Nawaz, Muhammad
    Kushwaha, Amrendra Kumar
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (03) : 8188 - 8206
  • [8] Hybrid Forecasting Model Integrating RNN-LSTM for Renewable Energy Production
    Narayanan, Sreekumar
    Kumar, Rajiv
    Ramadass, Sudhir
    Ramasamy, Jayaraj
    [J]. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2024,
  • [9] US renewable energy consumption
    J. A. Glaser
    [J]. Clean Technologies and Environmental Policy, 2007, 9 : 249 - 252
  • [10] US renewable energy consumption
    Glaser, J. A.
    [J]. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2007, 9 (04) : 249 - 252