National Library of Energy BETA

Sample records for markal unfccc-global map-annex

  1. UNFCCC-Global Map-Annex 1 | Open Energy Information

    Open Energy Info (EERE)

    Poland, Portugal, Romania, Russia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, Ukraine, United Kingdom, United States Cost: Free Australia and New Zealand, Western...

  2. Austria: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Governance and Trade (FLEGT) Add a Program 7 Tools Ecofys-Country Fact Sheets Energy Technology Systems Analysis Program (MARKAL) UNFCCC-Global Map-Annex 1 Renewable Energy...

  3. Italy: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Governance and Trade (FLEGT) Add a Program 8 Tools Ecofys-Country Fact Sheets Energy Technology Systems Analysis Program (MARKAL) UNFCCC-Global Map-Annex 1 Low Carbon Society (LCS)...

  4. MARKet ALlocation (MARKAL) | Open Energy Information

    Open Energy Info (EERE)

    Interface: Desktop Application ComplexityEase of Use: Moderate Website: iea-etsap.orgwebMarkal.asp Cost: Paid OpenEI Keyword(s): EERE tool References: MARKAL website1...

  5. MARKet ALlocation (MARKAL) | Open Energy Information

    Open Energy Info (EERE)

    MARKAL website1 Related Tools Global Trade and Analysis Project (GTAP) Model Gold Standard Program Model Job and Economic Development Impact Models (JEDI) ... further...

  6. United Nations Environment Programme (UNEP) | Open Energy Information

    Open Energy Info (EERE)

    UNFCCC-Global Map-Annex 1 United Nations Environment Programme: Global Environment Outlook Add Tool UNEP Programs Agriculture Rural Energy Enterprise Development (AREED)...

  7. MARKAL-MACRO: A linked model for energy-economy analysis

    SciTech Connect (OSTI)

    Manne, A.S.; Wene, C.O.

    1992-02-01

    MARKAL-MACRO is an experiment in model linkage for energy and economy analysis. This new tool is intended as an improvement over existing methods for energy strategy assessment. It is designed specifically for estimating the costs and analyzing the technologies proposed for reducing environmental risks such as global climate change or regional air pollution. The greenhouse gas debate illustrates the usefulness of linked energy-economy models. A central issue is the coupling between economic growth, the level of energy demands, and the development of an energy system to supply these demands. The debate is often connected with alternative modeling approaches. The competing philosophies may be labeled ``top-down macroeconomic`` and ``bottom-up engineering`` perspectives. MARKAL is a systems engineering (physical process) analysis built on the concept of a Reference Energy System (RES). MARKAL is solved by means of dynamic linear programming. In most applications, the end use demands are fixed, and an economically efficient solution is obtained by minimizing the present value of energy system`s costs throughout the planning horizon. MACRO is a macroeconomic model with an aggregated view of long-term economic growth. The basis input factors of production are capital, labor and individual forms of energy. MACRO is solved by nonlinear optimization.

  8. MARKAL-MACRO: A linked model for energy-economy analysis

    SciTech Connect (OSTI)

    Manne, A.S. ); Wene, C.O. Chalmers Univ. of Tech., Goeteborg )

    1992-02-01

    MARKAL-MACRO is an experiment in model linkage for energy and economy analysis. This new tool is intended as an improvement over existing methods for energy strategy assessment. It is designed specifically for estimating the costs and analyzing the technologies proposed for reducing environmental risks such as global climate change or regional air pollution. The greenhouse gas debate illustrates the usefulness of linked energy-economy models. A central issue is the coupling between economic growth, the level of energy demands, and the development of an energy system to supply these demands. The debate is often connected with alternative modeling approaches. The competing philosophies may be labeled top-down macroeconomic'' and bottom-up engineering'' perspectives. MARKAL is a systems engineering (physical process) analysis built on the concept of a Reference Energy System (RES). MARKAL is solved by means of dynamic linear programming. In most applications, the end use demands are fixed, and an economically efficient solution is obtained by minimizing the present value of energy system's costs throughout the planning horizon. MACRO is a macroeconomic model with an aggregated view of long-term economic growth. The basis input factors of production are capital, labor and individual forms of energy. MACRO is solved by nonlinear optimization.

  9. New York MARKAL: An evaluation of carbon dioxide emission control strategies in New York State

    SciTech Connect (OSTI)

    Hamilton, L.D.

    1992-12-31

    A MARKAL model was developed for the State of New York. It represents the State`s energy system as a set of typical technologies for generating, converting, and using energy as it evolves over a 45-year period. NYMARKAL was applied here in demonstration analyses to explore strategies to reduce CO2 emissions. NYMARKAL was installed at the State Energy Office and in the Offices of the New York Power Pool. Example scenarios showed that it is more difficult and more expensive to reduce carbon emissions in New York State than in the United States as a whole. Were a common carbon tax instituted, it would have less effect in New York and most carbon emissions reduction would take place elsewhere in the country where it is more cost-effective. Alternatively, were all states required to reduce CO2 emission an equal percentage (say by 20%), the cost per unit emissions reduction to New York would be much greater than in the rest of the country.

  10. Market Allocation (MARKAL) Model

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Key Attributes & Strengths Analysis is conducted in the context of overall U.S. energy supply and demand. The model incorporates learning curves and scale economies for cost ...

  11. Energy Technology Systems Analysis Program (MARKAL) | Open Energy...

    Open Energy Info (EERE)

    Switzerland, Albania, Australia, Austria, Bosnia and Herzegovina, Brazil, Bulgaria, Colombia, Croatia, India, Indonesia, Kazakhstan, Malaysia, New Zealand, China, Philippines,...

  12. Integrated MARKAL-EFOM System (TIMES) | Open Energy Information

    Open Energy Info (EERE)

    Program ComplexityEase of Use: Advanced Website: iea-etsap.orgwebTimes.asp Cost: Free Related Tools TEEMP Intertemporal Computable Equilibrium System (ICES) MCA4Climate -...

  13. Burkina Faso-National Adaptation Plan Global Support Programme...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  14. Djibouti-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  15. Central African Republic-National Adaptation Plan Global Support...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  16. Niger-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  17. Rwanda-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  18. Lesotho-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  19. Liberia-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  20. Malawi-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  1. Comoros-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  2. Tanzania-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  3. Bangladesh-National Adaptation Plan Global Support Programme...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  4. The Gambia-National Adaptation Plan Global Support Programme...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  5. Democratic Republic of Congo-National Adaptation Plan Global...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  6. Uganda-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  7. Mali-National Adaptation Plan Global Support Programme (NAP-GSP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  8. Mozambique-National Adaptation Plan Global Support Programme...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  9. Mauritania-National Adaptation Plan Global Support Programme...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  10. Sudan-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  11. Cambodia-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  12. Benin-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  13. Russia: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    for Russia Survey of Biomass Resource Assessments and Assessment Capabilities in APEC Economies view all Add a Program 6 Tools Ecofys-Country Fact Sheets UNFCCC-Global...

  14. Appendix A - GPRA06 benefits estimates: MARKAL and NEMS model baseline cases

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    NEMS is an integrated energy model of the U.S. energy system developed by the Energy Information Administration (EIA) for forecasting and policy analysis purposes.

  15. Appendix A: GPRA08 benefits estimates: NEMS and MARKAL Model Baseline Cases

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  16. Appendix A: GPRA07 benefits estimates: NEMS-GPRA07 and MARKAL-GPRA07 baseline cases

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    This document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2007 Budget Request.

  17. Projected Benefits of EERE's Portfolio (by program and model)

    SciTech Connect (OSTI)

    none,

    2011-11-17

    This collection of charts shows the benefits metrics for renewable energy technologies in the EERE portfolio for 2010-2050 for both the NEMS and MARKAL models.

  18. Colombia: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Tools Climate-Smart Agriculture Country Profiles Ecofys-Country Fact Sheets Energy Technology Systems Analysis Program (MARKAL) An Enabling Framework for Wind Power in Colombia:...

  19. Chapter 5: Long-term benefits analysis of EERE's Programs

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    This chapter provides an overview of the modeling approach used in MARKAL-GPRA05 to evaluate the benefits of EERE R&D programs and technologies. The program benefits reported in this section result from comparisons of each Program Case to the Baseline Case, as modeled in MARKAL-GPRA05.

  20. Program Analysis

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    and abate nearly 20,000 mmt of CO2 through 2050. EE portfolio analysis wNEMS+MARKAL (Frances Wood, OnLocation, and Chip Friley, BNL) Heavily leverages ANL's Autonomie Tool...

  1. Projected Benefits of Individual EERE Programs (primary and secondary)

    SciTech Connect (OSTI)

    none,

    2011-11-01

    This collection of data tables shows the benefits metrics related to energy security, environmental impacts, and economic impacts for individual renewable energy technologies in the EERE portfolio. Data are presented for the years 2015, 2020, 2030, and 2050, for both the NEMS and MARKAL models.

  2. CDM Sustainable Development Tool | Open Energy Information

    Open Energy Info (EERE)

    fnNI3k2%2Be9hblXIZ7ZPrqk8cV Cost: Free Related Tools Simple Interactive Models for better air quality (SIM-air) Integrated MARKAL-EFOM System (TIMES) Asia-Pacific Integrated Model...

  3. Projected Benefits of EERE’s Portfolio. FY 2010

    SciTech Connect (OSTI)

    None, None

    2011-11-17

    This collection of data tables and charts shows the benefits metrics related to energy security, environmental impacts, and economic impacts for the entire EERE portfolio of renewable energy technologies. Data are presented for the years 2015, 2020, 2030, and 2050, for both the NEMS and MARKAL models.

  4. EERE Portfolio. Primary Benefits Metrics for FY09

    SciTech Connect (OSTI)

    none,

    2011-11-01

    This collection of data tables shows the benefits metrics related to energy security, environmental impacts, and economic impacts for both the entire EERE portfolio of renewable energy technologies as well as the individual technologies. Data are presented for the years 2015, 2020, 2030, and 2050, for both the NEMS and MARKAL models.

  5. Program Benefits of Individual EERE Programs. FY 2010

    SciTech Connect (OSTI)

    None, None

    2011-11-01

    This collection of data tables shows the benefits metrics related to energy security, environmental impacts, and economic impacts for individual renewable energy technologies in the EERE portfolio. Data are presented for the years 2015, 2020, 2030, and 2050, for both the NEMS and MARKAL models.

  6. Projected Benefits of EERE's Portfolio - FY 2011

    SciTech Connect (OSTI)

    none,

    2011-11-17

    This collection of data tables and charts shows the benefits metrics related to energy security, environmental impacts, and economic impacts for the entire EERE portfolio of renewable energy technologies. Data are presented for the years 2015, 2020, 2030, and 2050, for both the NEMS and MARKAL models.

  7. New York City Energy-Water Integrated Planning: A Pilot Study

    SciTech Connect (OSTI)

    Bhatt,V.; Crosson, K. M.; Horak, W.; Reisman, A.

    2008-12-16

    The New York City Energy-Water Integrated Planning Pilot Study is one of several projects funded by Sandia National Laboratories under the U.S. Department of Energy Energy-Water Nexus Program. These projects are intended to clarify some key issues and research needs identified during the Energy-Water Nexus Roadmapping activities. The objectives of the New York City Pilot Project are twofold: to identify energy-water nexus issues in an established urban area in conjunction with a group of key stakeholders and to define and apply an integrated energy and water decision support tool, as proof-of-concept, to one or more of these issues. During the course of this study, the Brookhaven National Laboratory project team worked very closely with members of a Pilot Project Steering Committee. The Steering Committee members brought a breadth of experience across the energy, water and climate disciplines, and all are well versed in the particular issues faced by an urban environment, and by New York City in particular. The first task was to identify energy-water issues of importance to New York City. This exercise was followed by discussion of the qualities and capabilities that an ideal decision support tool should display to address these issues. The decision was made to start with an existing energy model, the New York City version of the MARKAL model, developed originally at BNL and now used globally by many groups for energy analysis. MARKAL has the virtue of being well-vetted, transparent, and capable of calculating 'material' flows, such as water use by the energy system and energy requirements of water technology. The Steering Committee members defined five scenarios of interest, representing a broad spectrum of New York City energy-water issues. Brookhaven National Laboratory researchers developed a model framework (Water-MARKAL) at the desired level of detail to address the scenarios, and then attempted to gather the New York City-specific information required to

  8. Chapter 3: FY 2005 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2005 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed—NEMS-GPRA05 for the midterm and MARKAL-GPRA05 for the long term.

  9. Chapter 3: FY 2006 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2006 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed–NEMS-GPRA06 for the midterm and MARKAL-GPRA06 for the long term.

  10. Appendix M - GPRA06 estimate of penetration of generating technologies into green power markets

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The Green Power Market Model (GPMM or the model) identifies and analyzes the potential electric-generating capacity additions that will result from green power programs, which are not captured in the least-cost analyses performed by the National Energy Modeling System (NEMS) and the Market Allocation (MARKAL) model. The term "green power" is used to define power generated from renewable energy sources, such as wind, solar, geothermal, and various forms of biomass. The Green Power market is an increasingly important element of the national renewable energy contribution, with changes in the regulatory and legislative environment and the recent dramatic changes in natural gas prices slowly altering the size of this opportunity.

  11. Evaluation of carbon dioxide emission control strategies in New York State

    SciTech Connect (OSTI)

    Morris, S.C.; Lee, J.; Goldstein, G.; Hill, D.

    1992-01-01

    A MARKAL model was developed for the State of New York. It represents the state's energy system as a set of typical technologies for generating, converting, and using energy as it evolves over a 45-year period. NYMARKAL was applied here in demonstration analyses to explore strategies to reduce CO{sub 2} emissions. NYMARKAL was installed at the State Energy Office and in the Offices of the New York Power Pool. Staff members from both organizations and other state agencies were trained in its use. Example scenarios showed that it is more difficult and more expensive to reduce carbon emissions in New York State than in the United States as a whole. Were a common carbon tax instituted, it would have less effect in New York and most carbon emissions reduction would take place elsewhere in the country where it is more cost-effective. Alternatively, were all states required to reduce CO{sub 2} emission an equal percentage (say by 20%), the cost per unit emissions reduction to New York would be much greater than in the rest of the country.

  12. Evaluation of carbon dioxide emission control strategies in New York State. Final report, 1990--1991

    SciTech Connect (OSTI)

    Morris, S.C.; Lee, J.; Goldstein, G.; Hill, D.

    1992-01-01

    A MARKAL model was developed for the State of New York. It represents the state`s energy system as a set of typical technologies for generating, converting, and using energy as it evolves over a 45-year period. NYMARKAL was applied here in demonstration analyses to explore strategies to reduce CO{sub 2} emissions. NYMARKAL was installed at the State Energy Office and in the Offices of the New York Power Pool. Staff members from both organizations and other state agencies were trained in its use. Example scenarios showed that it is more difficult and more expensive to reduce carbon emissions in New York State than in the United States as a whole. Were a common carbon tax instituted, it would have less effect in New York and most carbon emissions reduction would take place elsewhere in the country where it is more cost-effective. Alternatively, were all states required to reduce CO{sub 2} emission an equal percentage (say by 20%), the cost per unit emissions reduction to New York would be much greater than in the rest of the country.

  13. Examining hydrogen transitions.

    SciTech Connect (OSTI)

    Plotkin, S. E.; Energy Systems

    2007-03-01

    This report describes the results of an effort to identify key analytic issues associated with modeling a transition to hydrogen as a fuel for light duty vehicles, and using insights gained from this effort to suggest ways to improve ongoing modeling efforts. The study reported on here examined multiple hydrogen scenarios reported in the literature, identified modeling issues associated with those scenario analyses, and examined three DOE-sponsored hydrogen transition models in the context of those modeling issues. The three hydrogen transition models are HyTrans (contractor: Oak Ridge National Laboratory), MARKAL/DOE* (Brookhaven National Laboratory), and NEMS-H2 (OnLocation, Inc). The goals of these models are (1) to help DOE improve its R&D effort by identifying key technology and other roadblocks to a transition and testing its technical program goals to determine whether they are likely to lead to the market success of hydrogen technologies, (2) to evaluate alternative policies to promote a transition, and (3) to estimate the costs and benefits of alternative pathways to hydrogen development.

  14. Energy development and CO{sub 2} emissions in China

    SciTech Connect (OSTI)

    Xiaolin Xi

    1993-03-01

    The objective of this research is to provide a better understanding of future Chinese energy development and CO{sub 2} emissions from burning fossil fuels. This study examines the current Chinese energy system, estimates CO{sub 2} emissions from burning fossil fuels and projects future energy use and resulting CO{sub 2} emissions up to the year of 2050. Based on the results of the study, development strategies are proposed and policy implications are explored. This study first develops a Base scenario projection of the Chinese energy development based upon a sectoral analysis. The Base scenario represents a likely situation of future development, but many alternatives are possible. To explore this range of alternatives, a systematic uncertainty analysis is performed. The Base scenario also represents an extrapolation of current policies and social and economic trends. As such, it is not necessarily the economically optimal future course for Chinese energy development. To explore this issue, an optimization analysis is performed. For further understanding of developing Chinese energy system and reducing CO{sub 2} emissions, a Chinese energy system model with 84 supply and demand technologies has been constructed in MARKAL, a computer LP optimization program for energy systems. Using this model, various technological options and economic aspects of energy development and CO{sub 2} emissions reduction in China during the 1985-2020 period are examined.

  15. Appendix I - GPRA06 solar energy technologies program documentation

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    This appendix provides detailed information on the assumptions and methods employed to estimate the benefits of EEREs Solar Energy Technologies Program. The benefits analysis for the Solar Program utilized both NEMS and MARKAL as the analytical tools for estimating the Programs benefits. As will be discussed below, a number of assumptions and structural modifications to the models were made in order to represent the suite of solar technologies funded by the program as accurately as possible (Photovoltaics, Concentrating Solar Power and Solar Water Heating). Many of the assumptions used in the FY06 analysis are the same as or similar to those employed in the FY05 analysis; however, two key changes are important to highlight up-front. First, the AEO2004 analysis used a new set of reference case assumptions with respect to photovoltaic technology cost reductions. The new sets of reference case assumptions are very similar to the Solar Programs targets for PV. This shift in assumptions necessitated developing a new approach for estimating the baseline (i.e., no program) input assumptions for PV. Second, the FY06 analysis included CSP technology benefits CSP benefits were not included in the FY05 analysis.

  16. Sensitivity to Energy Technology Costs: A Multi-model comparison analysis

    SciTech Connect (OSTI)

    Bosetti, Valentina; Marangoni, Giacomo; Borgonovo, Emanuele; Anadon, Laura Diaz; Barron, Robert W.; McJeon, Haewon C.; Politis, Savvas; Friley, Paul

    2015-05-01

    In the present paper we use the output of multiple expert elicitation surveys on the future cost of key low-carbon technologies and use it as input of three Integrated Assessment models, GCAM, MARKAL_US and WITCH. By means of a large set of simulations we aim to assess the implications of these subjective distributions of technological costs over key model outputs. We are able to detect what sources of technology uncertainty are more influential, how this differs across models, and whether and how results are affected by the time horizon, the metric considered or the stringency of the climate policy. In unconstrained emission scenarios, within the range of future technology performances considered in the present analysis, the cost of nuclear energy is shown to dominate all others in affecting future emissions. Climate-constrained scenarios, stress the relevance, in addition to that of nuclear energy, of biofuels, as they represent the main source of decarbonization of the transportation sector and bioenergy, since the latter can be coupled with CCS to produce negative emissions.

  17. World Biofuels Study

    SciTech Connect (OSTI)

    Alfstad,T.

    2008-10-01

    This report forms part of a project entitled 'World Biofuels Study'. The objective is to study world biofuel markets and to examine the possible contribution that biofuel imports could make to help meet the Renewable Fuel Standard (RFS) of the Energy Independence and Security Act of 2007 (EISA). The study was sponsored by the Biomass Program of the Assistant Secretary for Energy Efficiency and Renewable Energy (EERE), U.S. Department of Energy. It is a collaborative effort among the Office of Policy and International Affairs (PI), Department of Energy and Oak Ridge National Laboratory (ORNL), National Renewable Energy Laboratory (NREL) and Brookhaven National Laboratory (BNL). The project consisted of three main components: (1) Assessment of the resource potential for biofuel feedstocks such as sugarcane, grains, soybean, palm oil and lignocellulosic crops and development of supply curves (ORNL). (2) Assessment of the cost and performance of biofuel production technologies (NREL). (3) Scenario-based analysis of world biofuel markets using the ETP global energy model with data developed in the first parts of the study (BNL). This report covers the modeling and analysis part of the project conducted by BNL in cooperation with PI. The Energy Technology Perspectives (ETP) energy system model was used as the analytical tool for this study. ETP is a 15 region global model designed using the MARKAL framework. MARKAL-based models are partial equilibrium models that incorporate a description of the physical energy system and provide a bottom-up approach to study the entire energy system. ETP was updated for this study with biomass resource data and biofuel production technology cost and performance data developed by ORNL and NREL under Tasks 1 and 2 of this project. Many countries around the world are embarking on ambitious biofuel policies through renewable fuel standards and economic incentives. As a result, the global biofuel demand is expected to grow very rapidly over

  18. World Biofuels Production Potential Understanding the Challenges to Meeting the U.S. Renewable Fuel Standard

    SciTech Connect (OSTI)

    Sastri, B.; Lee, A.

    2008-09-15

    This study by the U.S. Department of Energy (DOE) estimates the worldwide potential to produce biofuels including biofuels for export. It was undertaken to improve our understanding of the potential for imported biofuels to satisfy the requirements of Title II of the 2007 Energy Independence and Security Act (EISA) in the coming decades. Many other countries biofuels production and policies are expanding as rapidly as ours. Therefore, we modeled a detailed and up-to-date representation of the amount of biofuel feedstocks that are being and can be grown, current and future biofuels production capacity, and other factors relevant to the economic competitiveness of worldwide biofuels production, use, and trade. The Oak Ridge National Laboratory (ORNL) identified and prepared feedstock data for countries that were likely to be significant exporters of biofuels to the U.S. The National Renewable Energy Laboratory (NREL) calculated conversion costs by conducting material flow analyses and technology assessments on biofuels technologies. Brookhaven National Laboratory (BNL) integrated the country specific feedstock estimates and conversion costs into the global Energy Technology Perspectives (ETP) MARKAL (MARKet ALlocation) model. The model uses least-cost optimization to project the future state of the global energy system in five year increments. World biofuels production was assessed over the 2010 to 2030 timeframe using scenarios covering a range U.S. policies (tax credits, tariffs, and regulations), as well as oil prices, feedstock availability, and a global CO{sub 2} price. All scenarios include the full implementation of existing U.S. and selected other countries biofuels policies (Table 4). For the U.S., the most important policy is the EISA Title II Renewable Fuel Standard (RFS). It progressively increases the required volumes of renewable fuel used in motor vehicles (Appendix B). The RFS requires 36 billion (B) gallons (gal) per year of renewable fuels by 2022