Listed below are all documents and RMI.org site pages related to this topic.
Energy and Resources - Wind 17 Items
Report or White Paper, 2012
http://www.rmi.org/Knowledge-Center/Library/2012-07_WindNaturalGasVolatility
This paper explores methods of quantifying natural gas
volatility by examining theoretical models as well as case studies of utility hedging strategies. Including these volatility risk premiums in the price of natural gas establishes a basis for even comparison with utility-scale wind contracts, which enables smarter decision analysis by regulatory agencies, utilities, and ratepayers.
Guide, 2010
http://www.rmi.org/Knowledge-Center/Library/2010-06_MicropowerDatabase
2010 (May) Edition: The purpose of the micropower database is to present a clear, rigorous, and independent assessment of the global capacity and electrical output of micropower (all renewables, except large hydro, and cogeneration), showing its development over time and documenting all data and assumptions. With minor exceptions, this information is based on bottom-up, transaction-by-transaction equipment counts reported by the relevant suppliers and operators, cross-checked against assessments by reputable governmental and intergovernmental technical agencies. For most technologies, historic data from 1990 through 2008 or 2009 is available, as well as forecasts through 2013. Available information includes global annual capacity additions and output, global cumulative capacity, and capacity factor. The Micropower Database Methodology is also included here. The
2008 Micropower Database (RMI ID E05-04) is also available.
Note: A more recent version of
The Micropower Database from September 2010 (RMI ID 2010-14) is now available. This update to the database incorporates recently released data that change the total installed micropower capacity by 2.9%.
Guide, 2010
http://www.rmi.org/Knowledge-Center/Library/2010-14_MicropowerDatabaseSeptember2010
2010 (September) Edition: The purpose of the micropower database is to present a clear, rigorous, and independent assessment of the global capacity and electrical output of micropower (all renewables, except large hydro, and cogeneration), showing its development over time and documenting all data and assumptions. With minor exceptions, this information is based on bottom-up, transaction-by-transaction equipment counts reported by the relevant suppliers and operators, cross-checked against assessments by reputable governmental and intergovernmental technical agencies. For most technologies, historic data from 1990 through 2008 or 2009 is available, as well as forecasts through 2013. Available information includes global annual capacity additions and output, global cumulative capacity, and capacity factor. The Micropower Database Methodology is also included here. The
2008 Micropower Database (RMI ID E05-04) and the
2010 (May) Edition (RMI ID 2010-06) are also available.
Note: This update to the database incorporates recently released data that change the total installed micropower capacity by 2.9%.
Journal or Magazine Article, 2010
http://www.rmi.org/Knowledge-Center/Library/2010-04_keepingthelightson
This article discusses the new electricity paradigm required of electric utilities in the face of climate change, energy security concerns, and disruptive technologies. The new paradigm for utilities is based on energy efficiency, demand response, renewables, energy storage, and distributed generation.
Presentation, 2009
http://www.rmi.org/Knowledge-Center/Library/2009-15_NuclearPowersCompetitiveLandscape
A hotly debated topic, the present and future state of nuclear power and its competitors are the subject of this presentation by Amory Lovins at RMI2009. This presentation was part of a plenary debate with Robert Rosner entitled, "Nuclear: Fix or Folly?". The accompanying video of the entire debate is available at
RMI's Video page.
Report or White Paper, 2009
http://www.rmi.org/Knowledge-Center/Library/E09-01_NuclearPowerClimateFixOrFolly
This semi-technical article, summarizing a detailed and documented technical paper (see
"The Nuclear Illusion" (2008)), compares the cost, climate protection potential, reliability, financial risk, market success, deployment speed, and energy contribution of new nuclear power with those of its low- or no-carbon competitors.
Conference Proceedings, 2008
http://www.rmi.org/Knowledge-Center/Library/2008-22_IntermittentRenewablesInNGU
This paper, presented at PowerGenRE2008, evaluates the potential reduction in variability of intermittent renewables due to the geographical dispersion of wind resources across large geographic areas.
Journal or Magazine Article, 2008
http://www.rmi.org/Knowledge-Center/Library/E08-04_ForgetNuclear
This article compares the cost, climate protection potential, reliability, financial risk, market success, deployment speed, and energy contribution of new nuclear power with those of its low- or no-carbon competitors.
Conference Proceedings, 2008
http://www.rmi.org/Knowledge-Center/Library/2008-20_WindSolarNGU
This paper, originally presented at WINDPOWER 2008, argues that the “next generation” electric utility must incorporate variable renewable resources, including wind and solar, in much larger quantities than conventionally thought possible. This analysis expands previous studies on reducing the variability of renewable resources through optimized geographic distribution.
Conference Proceedings, 2008
http://www.rmi.org/Knowledge-Center/Library/2008-21_SolarWindNGU
The “next generation” electric utility must incorporate variable renewable resources, including wind and solar, in much larger quantities than conventionally thought possible. While resource variability presents a challenge, it should be possible to reduce and manage that variability by geographically distributing renewables, combining them with different renewables, and having more dynamic control of electric loads. This study shows that interconnecting individual solar generation sites into geographically diverse arrays can reduce power output variability, and that including solar generation sites in arrays of geographically diverse wind sites can further reduce the total variability beyond what is
possible for either resource type alone. Specifically, optimized portfolios offer an average decrease in variability of 55% below the average of all individual sites. Finally, it was observed that, in the modeled system, only a small subset of the potential sites in an interconnected array need to be included to achieve these variability reductions.