Carbon Emissions and Petroleum Resource Assessments Alan S. Manne Stanford University This presentation is based upon joint work with Richard Richels.

Slides:



Advertisements
Similar presentations
Guy Caruso Administrator Energy Information Administration Washington, DC June 20, 2006 International Energy Outlook 2006 with Projections to 2030.
Advertisements

Analyses of World Supply of Natural Gas with DNE21+ Model.
Changing Patterns Of Oil Production And Consumption IB SL.
International Energy Outlook 2013
CURRENT PERSPECTIVES ON FOSSIL FUEL RESOURCES Fusion Power Associates 25 th Anniversary Meeting and Symposium December 13, 2004 John Sheffield Joint Institute.
Brief Overview of the Second Generation Model Presentation to U.S. EPA Science Advisory Board SAB Second Generation Model (SGM) Advisory Panel Dr. Michael.
Global and Regional Emissions and Mitigation Policies (with Application of ERB model for India) P.R. Shukla.
SGM P.R. Shukla. Second Generation Model Top-Down Economic Models  Project baseline carbon emissions over time for a country or group of countries 
Earth’s Changing Environment Lecture 13 Energy Calculation Review & Some Important Quantities.
WORLD OIL AND NORTH AMERICAN NATURAL GAS OUTLOOK November 2006.
Energy Resources: Production and Consumption prepared by Dr Jehad Yamin.
WORLD ENERGY INVESTMENT OUTLOOK
Copenhagen 29 June Energy and climate outlook: Renewables in a world and European perspective Peter Russ.
MERGE – Presentation to EMF 21 Alan S. Manne, Stanford University Richard G. Richels, EPRI Stanford University December 2003.
Aim: To identify global patterns and trends in oil consumption.
Gas Development Master Plan Scenarios for the GDMP Capacity Building Workshop Bali, 1-2 July 2013.
Carbon Capture and Storage: What Does Integrated Assessment Modelling Analysis Tell Us? Dr Vaibhav Chaturvedi Research Fellow Council on Energy, Environment.
U.S. Energy Information Administration Independent Statistics & Analysis IEA and EIA: Similarities and Differences in Projections and Approaches.
1 Designing Climate Change Scenarios in a Global Economic Model Warwick J McKibbin ANU, Lowy Institute and Brookings Prepared for the OECD conference on.
Global and regional black carbon mitigation opportunities Zig Klimont Improving BC Emissions Estimates and Abatement.
1 Alternative Energy Sources Delivered on Behalf of: Bill Pyke Hilbre Consulting Limited October 2012 Copyright and all intellectual property rights retained.
INTERNATIONAL ENERGY AGENCY World Energy Outlook: Key Strategic Challenges Maria Argiri Economic Analysis Division.
What’s with Oil? The Probable Status of the Resource.
THE OUTLOOK FOR OIL AND GAS Presentation To OKLAHOMA INDEPENDENT PETROLEUM ASSOCIATION June 11, 2007.
RESOURCE DEPLETION AND THE LONG-RUN AVAILABILITY OF MINERAL COMMODITIES RESOURCE DEPLETION AND THE LONG-RUN AVAILABILITY OF MINERAL COMMODITIES John E.
International Energy Outlook 2010 With Projections to 2035.
World Energy Outlook Strategic Challenges Hideshi Emoto Senior Energy Analyst International Energy Agency.
August 17, 2006 ICF Consulting RGGI Preliminary Electricity Sector Modeling Results Phase III RGGI Reference and Package Scenario.
Copyright © 2009 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 16 RESOURCES AND THE ENVIRONMENT AT THE GLOBAL LEVEL.
International Energy Markets Calvin Kent Ph.D. AAS Marshall University.
Presentation to RGGI Stakeholders April 6, 2005 Steve Fine Chris MacCracken ICF Consulting RGGI Preliminary Electricity Sector Modeling Results Reference.
1 Macroeconomic Impacts of EU Climate Policy in AIECE November 5, 2008 Olavi Rantala - Paavo Suni The Research Institute of the Finnish Economy.
Economics of exhaustible resources Economics 331b Spring
1 Olve Torvanger Einar H. Bandlien Svein E. Johansen.
© OECD/IEA World Energy Outlook 2007: China and India Insights Pawel Olejarnik Research Analyst International Energy Agency.
Technology Transfer and Investment Risk in International Emissions Trading (TETRIS) Work Package 3: Permit Supply from the CDM (TETRIS Meeting, Amsterdam,
1 Guy Caruso Administrator Energy Information Administration Georgetown University March 17, 2008 International Energy Outlook: The Future of Energy.
HOW SINKS IN WOOD PRODUCTS AFFECT THE COST OF KYOTO PROTOCOL AND WORLD TRADE OF WOOD PRODUCTS: results from a global economywide model Johanna Pohjola.
Low carbon scenarios for the UK Energy White Paper Peter G Taylor Presented at “Energy, greenhouse gas emissions and climate change scenarios” June.
TRANSPORTATION CHALLENGES OF THE 21st CENTURY by Robert Q. Riley Ford hybrid-electric concept car.
Leading Partners in Science Cost-effectiveness and implications of GWPs and GTPs under alternative policy goals Andy Reisinger 1 Keywan Riahi 2 Oscar van.
World Energy Outlook 2006 Scenarios for the World and the European Union Presentation to European Wind Energy Conference Milan, Italy, 7-10 May 2007.
Issues in the Choice of a Monetary Regime for India Warwick J. McKibbin & Kanhaiya Singh.
© OECD/IEA Mtoe Other renewables Hydro Nuclear Biomass Gas.
1 Bridging the Gap Between Energy Producers and Consumers Carmen Difiglio, Ph.D. U.S. Department of Energy International Conference on Economics Turkish.
Institute of Transportation Studies University of California, Davis Energy & Transportation Science Division Oak Ridge National Laboratory Transportation’s.
World Resources Institute World Commercial Energy Supply (1998)
2  World oil reserves  U.S. owns 2-3%  U.S. uses 25% The Importance of Energy Independence.
© OECD/IEA INTERNATIONAL ENERGY AGENCY Energy and Climate Outlook Dr. Fatih Birol Chief Economist International Energy Agency.
September 21, 2005 ICF Consulting RGGI Electricity Sector Modeling Results Updated Reference, RGGI Package and Sensitivities.
U.S. Energy Information Administration Independent Statistics & Analysis International Energy Outlook 2013 for Center for Strategic and International.
Comparison of GHG mitigation efforts between Annex 1 countries Markus Amann International Institute for Applied Systems Analysis (IIASA)
Peak Oil – Myth or Menace? Models to help understand peak oil Dr. Robert J. Brecha University of Dayton Chautauqua Course, May 24-26, 2007.
“The Economics of Alternative Energy Sources and Globalization: The Road Ahead”, November15 – 17, 2009, Orlando, Florida Impacts of future energy price.
Coal Markets and the Kyoto Protocol Miles Light University of Colorado, Boulder Charles Kolstad University of California, Santa Barbara Thomas F. Rutherford.
INTERNATIONAL ENERGY AGENCY AGENCE INTERNATIONALE DE L’ENERGIE What is the Cost of Not Having Nuclear Power or Carbon Capture and Storage While Still Stabilizing.
ENERGY & CLIMATE ASSESSMENT TEAM National Risk Management Research Laboratory U.S. Environmental Protection Agency Office of Research.
Feasible Climate Targets Richard Richels International Energy Workshop June 17, 2009 Venice, Italy.
The State of U.S. Energy Security U.S. Chamber of Commerce’s Annual Global Energy Security Report June 10, 2016 Producer: Ben Booker Edited by: Katharine.
1 Some Modeling Results for the Low Carbon Fuel Standard International Energy Workshop Venice, June 19, 2009 Carmen Difiglio, Ph.D. Deputy Assistant Secretary.
World Energy and Environmental Outlook to 2030
Current Power and Energy Landscape
Affordable, reliable and sustainable energy sources
Energy and Climate Outlook
World Commercial Energy Supply (1998)
Biofuel Demand Projections In the Annual Energy Outlook
Use of GIS in the USGS World Petroleum Assessment 2000 Debra K
The Global Energy Outlook
Environmental and Natural Resource Economics
The Future of World Oil Prices: Some Keys to the Puzzle
Presentation transcript:

Carbon Emissions and Petroleum Resource Assessments Alan S. Manne Stanford University This presentation is based upon joint work with Richard Richels. Helpful comments have been received from Vello Kuuskraa. For research assistance, the author is indebted to Charles Ng. Funding was provided by EPRI. The individual author is solely responsible for the results presented here. For presentation at International Energy Workshop, IIASA, Laxenburg, Austria, June 19, 2001.

Abstract This paper demonstrates how oil and gas resource assumptions affect MERGE (a model for evaluating regional and global effects of greenhouse gas reduction policies). Undiscovered resources are based upon the U.S. Geological Survey "World Petroleum Assessment 2000". Guesstimated oil and gas supply curves with ten steps within each region. Instead of OPEC behavioral functions, there are maximum production/reserve ratios and maximum resource depletion factors. To allow for resource depletion without a long-term rising price trend, the reference case includes annual cost reduction factors of 0.5% in each energy category. There are backstops for both electric and nonelectric energy. Results are reported at a global level for: oil and gas production, fuel shares, carbon prices, oil prices and carbon emissions under alternative scenarios. If no energy cost reductions are assumed, there are higher energy prices and lower carbon emissions than in the reference case. If both oil and gas resources are low, there are demands for greater synthetic fuels production and higher carbon emissions. If gas resources are unlimited, emissions are lower during the early years, but higher later on. During the later periods, there is an incentive for electricity production based on gas rather than a carbon-free backstop. This leads to higher carbon emissions than in the reference case.

Figure 1. Crude oil production in lower 48 states and Alaska,

From Executive Summary, pp. ES-1 and ES-2: The U.S. Geological Survey (USGS) World Petroleum Assessment 2000 provides estimates of the quantities of conventional oil, gas, and natural gas liquids outside the United States that have the potential to be added to reserves in the next 30 years (1995 to 2025)...

This assessment is based on extensive geologic studies as opposed to statistical analysis. A team of more than 40 geoscientists and additional supporting staff conducted the study over a five-year period from 1995 to 2000.

Figure 2. Mean USGS estimates of oil, gas, and NGL – billion barrels of oil equivalent – world, excluding USA

Figure 3. World reserve and resource/production ratios - static index (years)

MERGE: A model for evaluating regional and global effects of greenhouse gas reduction policies Website: Provides details on this intertemporal general equilibrium model. MERGE is a top-down model of electric and nonelectric energy demands; a bottom-up model of energy supplies.

Nine regions: USA, OECD Europe, Japan, CANZ (Canada, Australia and New Zealand), EEFSU (eastern Europe and former Soviet Union), China, India, MOPEC (Mexico and OPEC), and ROW (rest of world).

Converting USGS World Petroleum Assessment 2000 into inputs for MERGE: To allow for post-2030 discoveries, took F5(optimistic) as ultimate resources. Guesstimated oil and gas supply curves with ten steps – linearly rising marginal costs. Instead of OPEC behavioral functions, employed maximum production/ reserve ratios and maximum resource depletion factors.

Figure 4. Production of an exhaustible resource – initial reserves = 20; undiscovered resources = 80

Conclusions of Michael Lynch, WEFA “No mineral has ever shown long-term rising price trend.” Implemented in MERGE by assuming that there is a 0.5% annual cost reduction in each energy category. Implies 40% reduction in 100 years.

Figure 5. World oil and gas production – reference case

Low resource case As an alternative, have considered a low resource case (50% of the undiscovered resources in the reference case). This is roughly the mean USGS projection. Implications: Oil production peaks in 2020 rather than Oil prices rise to $29 per barrel rather than $24 in Because of synthetic fuels, carbon emissions rise post-2050.

Figure 6. Total primary energy – fuel shares – reference case

Figure 7. Carbon emissions – reference case and 550 ppmv concentration limit

Figure 8. International price of carbon emission rights – 550 ppmv concentration limit

Figure 9. International oil prices – reference case vs. no energy cost reductions

Figure 10. Carbon emissions – reference case vs. low oil and gas resources vs. no energy cost reductions

Figure 11. Carbon emissions – reference case vs. unlimited gas resources