Documentation

Total Page:16

File Type:pdf, Size:1020Kb

Documentation WORLD ENERGY MODEL DOCUMENTATION 2020 VERSION Last updated: May 7, 2021 2 Contents 1 Background ................................................................................................................................................ 5 1.1 WEO scenarios ................................................................................................................................ 6 1.2 New features in the World Energy Outlook 2020 .......................................................................... 8 1.3 World Energy Model structure ..................................................................................................... 10 2 Technical aspects and key assumptions .................................................................................................. 11 2.1 Population assumptions ............................................................................................................... 12 2.2 Macroeconomic assumptions ....................................................................................................... 13 2.3 Prices ............................................................................................................................................ 13 3 Energy demand ........................................................................................................................................ 18 3.1 Industry sector .............................................................................................................................. 19 3.2 Transport sector ........................................................................................................................... 25 3.3 Buildings sectors ........................................................................................................................... 31 3.4 Demand-side response ................................................................................................................. 34 4 Power generation and heat plants .......................................................................................................... 36 4.1 Electricity generation .................................................................................................................... 36 4.2 Value-adjusted Levelized Cost of Electricity ................................................................................. 40 4.3 Electricity transmission and distribution networks ...................................................................... 44 4.4 Hourly model ................................................................................................................................ 45 4.5 Mini- and off-grid power systems ................................................................................................ 46 4.6 Renewables, combined heat and power and distributed generation modules ........................... 47 5 Other energy transformation .................................................................................................................. 50 5.1 Oil refining and trade .................................................................................................................... 50 5.2 Coal-to-liquids, Gas-to-liquids, Coal-to-gas .................................................................................. 51 5.3 Hydrogen transformation ............................................................................................................. 52 6 Energy supply ........................................................................................................................................... 52 6.1 Oil ................................................................................................................................................. 52 6.2 Natural gas .................................................................................................................................... 57 6.3 Coal ............................................................................................................................................... 57 6.4 Bioenergy ...................................................................................................................................... 59 7 Emissions ................................................................................................................................................. 62 7.1 CO2 emissions ............................................................................................................................... 62 7.2 Non-CO2 greenhouse gases and CO2 process emissions .............................................................. 62 7.3 Air pollution .................................................................................................................................. 63 7.4 Oil and gas methane emissions model ......................................................................................... 63 8 Investment ............................................................................................................................................... 69 8.1 Investment in the energy supply chain......................................................................................... 69 8.2 Demand-side investments ............................................................................................................ 70 3 8.3 Financing for investments ............................................................................................................ 71 9 Energy access ........................................................................................................................................... 72 9.1 Defining modern energy access.................................................................................................... 72 9.2 Outlook for modern energy access .............................................................................................. 73 9.3 Affordability of basic electricity services ...................................................................................... 73 Annex 1: WEM terminology ................................................................................................................................ 74 A1.1 Definitions .................................................................................................................................... 74 A1.2 Regional and country groupings ................................................................................................... 79 A1.3 Acronyms ...................................................................................................................................... 81 A1.4 Oil and natural gas supply modules .............................................................................................. 83 A1.5 Coal supply module ..................................................................................................................... 84 Annex 2: References ........................................................................................................................................... 85 4 1 Background Since 1993, the International Energy Agency (IEA) has provided medium- to long-term energy projections using the World Energy Model (WEM). The model is a large-scale simulation model designed to replicate how energy markets function and is the principal tool used to generate detailed sector-by-sector and region-by-region projections for the World Energy Outlook (WEO) scenarios. Updated every year and developed over many years, the model consists of three main modules: final energy consumption (covering residential, services, agriculture, industry, transport and non-energy use); energy transformation including power generation and heat, refinery and other transformation – such as Coal to Liquids or hydrogen production; and energy supply. Outputs from the model include energy flows by fuel, investment needs and costs, CO2 emissions and end-user prices. The WEM is a very data-intensive model covering the whole global energy system. Much of the data on energy supply, transformation and demand, as well as energy prices is obtained from the IEA’s own databases of energy and economic statistics (http://www.iea.org/statistics). Additional data from a wide range of external sources is also used. These sources are indicated in the relevant sections of this document. The WEM is constantly reviewed and updated to ensure its completeness and relevancy. The development of the WEM benefits from expert review within the IEA and beyond and the IEA works closely with colleagues in the modelling community, for example, by participating in the annual International Energy Workshop (http://internationalenergyworkshop.org) and hosting the 2019 edition. The current version of WEM covers energy developments up to 2050 in 26 regions. Depending on the specific module of the WEM, individual countries are also modelled: 12 in demand; 101 in oil and gas supply; and 19 in coal supply (see Annex 1). The WEM is designed to analyse: Global and regional energy prospects: These include trends in demand, supply availability and constraints, international trade and energy balances by sector and by fuel in the projection horizon. Environmental impact of energy use: CO2 emissions from fuel combustion are derived from the projections of energy consumption. CO2 process emissions have been estimated based on the production of industrial materials while non-CO2 emissions originating from non-energy sectors
Recommended publications
  • Capture and Reuse of Carbon Dioxide (CO2) for a Plastics Circular Economy: a Review
    processes Review Capture and Reuse of Carbon Dioxide (CO2) for a Plastics Circular Economy: A Review Laura Pires da Mata Costa 1 ,Débora Micheline Vaz de Miranda 1, Ana Carolina Couto de Oliveira 2, Luiz Falcon 3, Marina Stella Silva Pimenta 3, Ivan Guilherme Bessa 3,Sílvio Juarez Wouters 3,Márcio Henrique S. Andrade 3 and José Carlos Pinto 1,* 1 Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, CP 68502, Rio de Janeiro 21941-972, Brazil; [email protected] (L.P.d.M.C.); [email protected] (D.M.V.d.M.) 2 Escola de Química, Universidade Federal do Rio de Janeiro, Cidade Universitária, CP 68525, Rio de Janeiro 21941-598, Brazil; [email protected] 3 Braskem S.A., Rua Marumbi, 1400, Campos Elíseos, Duque de Caxias 25221-000, Brazil; [email protected] (L.F.); [email protected] (M.S.S.P.); [email protected] (I.G.B.); [email protected] (S.J.W.); [email protected] (M.H.S.A.) * Correspondence: [email protected]; Tel.: +55-21-3938-8709 Abstract: Plastic production has been increasing at enormous rates. Particularly, the socioenvi- ronmental problems resulting from the linear economy model have been widely discussed, espe- cially regarding plastic pieces intended for single use and disposed improperly in the environment. Nonetheless, greenhouse gas emissions caused by inappropriate disposal or recycling and by the Citation: Pires da Mata Costa, L.; many production stages have not been discussed thoroughly. Regarding the manufacturing pro- Micheline Vaz de Miranda, D.; Couto cesses, carbon dioxide is produced mainly through heating of process streams and intrinsic chemical de Oliveira, A.C.; Falcon, L.; Stella transformations, explaining why first-generation petrochemical industries are among the top five Silva Pimenta, M.; Guilherme Bessa, most greenhouse gas (GHG)-polluting businesses.
    [Show full text]
  • Globalization and Infectious Diseases: a Review of the Linkages
    TDR/STR/SEB/ST/04.2 SPECIAL TOPICS NO.3 Globalization and infectious diseases: A review of the linkages Social, Economic and Behavioural (SEB) Research UNICEF/UNDP/World Bank/WHO Special Programme for Research & Training in Tropical Diseases (TDR) The "Special Topics in Social, Economic and Behavioural (SEB) Research" series are peer-reviewed publications commissioned by the TDR Steering Committee for Social, Economic and Behavioural Research. For further information please contact: Dr Johannes Sommerfeld Manager Steering Committee for Social, Economic and Behavioural Research (SEB) UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases (TDR) World Health Organization 20, Avenue Appia CH-1211 Geneva 27 Switzerland E-mail: [email protected] TDR/STR/SEB/ST/04.2 Globalization and infectious diseases: A review of the linkages Lance Saker,1 MSc MRCP Kelley Lee,1 MPA, MA, D.Phil. Barbara Cannito,1 MSc Anna Gilmore,2 MBBS, DTM&H, MSc, MFPHM Diarmid Campbell-Lendrum,1 D.Phil. 1 Centre on Global Change and Health London School of Hygiene & Tropical Medicine Keppel Street, London WC1E 7HT, UK 2 European Centre on Health of Societies in Transition (ECOHOST) London School of Hygiene & Tropical Medicine Keppel Street, London WC1E 7HT, UK TDR/STR/SEB/ST/04.2 Copyright © World Health Organization on behalf of the Special Programme for Research and Training in Tropical Diseases 2004 All rights reserved. The use of content from this health information product for all non-commercial education, training and information purposes is encouraged, including translation, quotation and reproduction, in any medium, but the content must not be changed and full acknowledgement of the source must be clearly stated.
    [Show full text]
  • Implementation of Electrofuel Production at a Biogas Plant Case Study at Borås Energi & Miljö Master’S Thesis Within the Sustainable Energy Systems Programme
    Biogas Digester Rawgas Gas upgrade Gas CO2 Biogas Organic waste Sabatier reactor Implementation of electrofuel production at a biogas plant Case study at Borås Energi & Miljö Master’s Thesis within the Sustainable Energy Systems programme TOBIAS JOHANNESSON Department of Energy and Environment Division of Physical Resource Theory Chalmers University of Technology Göteborg, Sweden 2016 FRT 2016:03 master’s thesis Implementation of electrofuel production at a biogas plant Case study at Borås Energi & Miljö Master’s Thesis within the Sustainable Energy Systems programme tobias johannesson supervisors: Stavros Papadokonstantakis & Camilla Ölander Examiner Maria Grahn Department of Energy and Environment Division of Physical Resource Theory chalmers university of technology Göteborg, Sweden 2016 Implementation of electrofuel production at a biogas plant Case study at Borås Energi & Miljö Master’s Thesis within the Sustainable Energy Systems programme TOBIAS JOHANNESSON FRT 2016:03 © TOBIAS JOHANNESSON, 2016 Department of Energy and Environment Division of Physical Resource Theory Chalmers University of Technology SE-412 96 Göteborg Sweden Telephone: + 46 (0)31-772 10 00 Cover: Schematic picture over a simplified biogas process with an implemented Sabatier reactor. Chalmers Reproservice Göteborg, Sweden 2016 Implementation of electrofuel production at a biogas plant Case study at Borås Energi & Miljö Master’s Thesis within the Sustainable Energy Systems programme TOBIAS JOHANNESSON Department of Energy and Environment Division of Physical Resource Theory Chalmers University of Technology Abstract One way to decrease the emissions of greenhouse gases is to use a renewable vehicle fuel, such as biogas. By separating methane from carbon dioxide in raw gas in a gas upgrading system, biogas is produced.
    [Show full text]
  • Litter Pollution in Densely Versus Sparsely Populated Areas: Dog River Watershed
    LITTER POLLUTION IN DENSELY VERSUS SPARSELY POPULATED AREAS: DOG RIVER WATERSHED Gabrielle M. Hudson, Department of Earth Sciences, University of South Alabama, Mobile, AL 36688. E-mail: [email protected]. It is commonly known that when humans populate an area that area is usually subject to some environmental degradation. One of the more common aspects of environmental degradation is litter. This type of degradation is no stranger to the Dog River watershed. For years residents have seen the rivers in this watershed covered in trash, specifically after rain events. The vast majority of the trash is a result of litter from roadsides being carried into the river via drainage pipes. This paper is a comparative study of litter in areas of varying population densities in the Dog River watershed. It seeks to distinguish between the amount of litter found in densely populated areas and sparsely populated areas, and to find out if there is a correlation between population density and litter. I utilize GIS to map population density of the Dog River watershed, and analyze and compare the amounts of litter in areas of sparse and dense populations. The results show that there is no correlation between population density and litter. It also shows that there is no difference in the amounts of litter found in densely and sparsely populated areas. Keyword: litter, population density, watershed Introduction Pollution has long been an issue in the Dog River watershed, in particular litter pollution. The extent of the pollution has not gone unnoticed. There are groups of people and organizations who have taken increased interest in the Dog River watershed with intentions of reducing pollution, including Dog River Clearwater Revival and its numerous volunteers.
    [Show full text]
  • AD-MARTEM-OFFICIAL-2.Pdf
    Odysseus II Space Contest The TEAM INTERSTELLAR Giulia Bassani & Nicola Timpano Liceo M. Curie Collegno Italy presents… Odysseus II Space Contest AD MARTEM “How to build an autonomous space station on Mars?” Odysseus II Space Contest EARTH MARS 23.44° YEAR 25,19° 365 days 686 days(667 sols) GRAVITY 9.81 m/s² 3.71 m/s² SOLAR LIGHT 24 h 40 m 1.37*10³ W/m² 6.1*10² W/m² 24 h ATMOSPHERE 1013 mbar 7.6 mbar 0.039% CO2 95% 78% N2 2.6% 0.4% H2O 0.03% 0.93% Ar 1.6% 20.9% O2 0.13% Odysseus II Space Contest Odysseus II Space Contest Geodesic Dome Semi-spherical structure made up of a network of beams lying on great circles (geodesics). It becomes proportionally more resistant with increasing size. In the picture→ Artistic view of our base made by us with 3D Studio Max. Resistant against the strong Martian sand-storms. This shape avoids the accumulation of sand and other debris on its surface. Odysseus II Space Contest Materials Multilayered-walls are built with regolith and water (obtained from the permafrost) using a 3D printer. If water freezes, the protection against the cosmic rays is improved. The Ad Martem Program Mission 1 – Cargo •Robotic 3D Printer •Nuclear reactor •Inflatable module Mission 2 – Setup Short human mission •Life Support System •Water and food •Rovers Mission 3 – Stay Human mission Odysseus II Space Contest The Main Base Made with Geogebra Odysseus II Space Contest Made with Geogebra The Main Base Odysseus II Space Contest No windows! Because they would let in the radiations.
    [Show full text]
  • A Non-Linear Threshold Estimation of Density Effects
    sustainability Article Population Dynamics and Agglomeration Factors: A Non-Linear Threshold Estimation of Density Effects Mariateresa Ciommi 1, Gianluca Egidi 2, Rosanna Salvia 3 , Sirio Cividino 4, Kostas Rontos 5 and Luca Salvati 6,7,* 1 Department of Economic and Social Science, Polytechnic University of Marche, Piazza Martelli 8, I-60121 Ancona, Italy; [email protected] 2 Department of Agricultural and Forestry Sciences (DAFNE), Tuscia University, Via San Camillo de Lellis, I-01100 Viterbo, Italy; [email protected] 3 Department of Mathematics, Computer Science and Economics, University of Basilicata, Viale dell’Ateneo Lucano, I-85100 Potenza, Italy; [email protected] 4 Department of Agriculture, University of Udine, Via del Cotonificio 114, I-33100 Udine, Italy; [email protected] 5 Department of Sociology, School of Social Sciences, University of the Aegean, EL-81100 Mytilene, Greece; [email protected] 6 Department of Economics and Law, University of Macerata, Via Armaroli 43, I-62100 Macerata, Italy 7 Global Change Research Institute of the Czech Academy of Sciences, Lipová 9, CZ-37005 Ceskˇ é Budˇejovice, Czech Republic * Correspondence: [email protected] or [email protected] Received: 14 February 2020; Accepted: 11 March 2020; Published: 13 March 2020 Abstract: Although Southern Europe is relatively homogeneous in terms of settlement characteristics and urban dynamics, spatial heterogeneity in its population distribution is still high, and differences across regions outline specific demographic patterns that require in-depth investigation. In such contexts, density-dependent mechanisms of population growth are a key factor regulating socio-demographic dynamics at various spatial levels. Results of a spatio-temporal analysis of the distribution of the resident population in Greece contributes to identifying latent (density-dependent) processes of metropolitan growth over a sufficiently long time interval (1961-2011).
    [Show full text]
  • Power to Gas – Bridging Renewable Electricity to the Transport Sector
    POWER TO GAS – BRIDGING RENEWABLE ELECTRICITY TO THE TRANSPORT SECTOR Abstract Globally, transport accounts for a significant part of the total energy utilization and is heavily dominated by fossil fuels. The main challenge is how the greenhouse gas emissions in road transport can be addressed. Moreover, the use of fossil fuels in road transport makes most countries or regions dependent on those with oil and/or gas assets. With that said, the question arises of what can be done to reduce the levels of greenhouse gas emissions and furthermore reduce dependency on oil? One angle is to study what source of energy is used. Biomass is considered to be an important energy contributor in future transport and has been a reliable energy source for a long time. However, it is commonly known that biomass alone cannot sustain the energy needs in the transport sector by far. This work presents an alternative where renewable electricity could play a significant role in road transport within a relatively short time period. Today the amount of electricity used in road transport is negligible but has a potential to contribute substantially. It is suggested that the electricity should be stored, or “packaged” in a chemical manner, as a way of conserving the electrical energy. One way of doing so is to chemically synthesize fuels. It has been investigated how a fossil free transport system could be designed, to reach high levels of self- sufficiency. According to the studies, renewable electricity could have the single most important role in such a system. Among the synthetic fuels, synthetic methane (also called synthetic biogas) is the main focus of the thesis.
    [Show full text]
  • Global Typology of Urban Energy Use and Potentials for An
    Global typology of urban energy use and potentials for SPECIAL FEATURE an urbanization mitigation wedge Felix Creutziga,b,1, Giovanni Baiocchic, Robert Bierkandtd, Peter-Paul Pichlerd, and Karen C. Setoe aMercator Research Institute on Global Commons and Climate Change, 10829 Berlin, Germany; bTechnische Universtität Berlin, 10623 Berlin, Germany; cDepartment of Geographical Sciences, University of Maryland, College Park, MD 20742; dPotsdam Institute for Climate Impact Research, 14473 Potsdam, Germany; and eYale School of Forestry & Environmental Studies, New Haven, CT 06511 Edited by Sangwon Suh, University of California, Santa Barbara, CA, and accepted by the Editorial Board December 4, 2014 (received for review August 17, 2013) The aggregate potential for urban mitigation of global climate (9, 10), and also with GHG emissions from the residential change is insufficiently understood. Our analysis, using a dataset sector (11). The recent IPCC report identifies urban form of 274 cities representing all city sizes and regions worldwide, as a driver of urban emissions but does not provide guidance on demonstrates that economic activity, transport costs, geographic its relative importance vis-à-vis other factors. In comparative factors, and urban form explain 37% of urban direct energy use studies, cities are often sampled from similar geographies (5, 12, and 88% of urban transport energy use. If current trends in urban 13) or population sizes (8). In these studies, causality is difficult expansion continue, urban energy use will increase more than to establish, and self-selection (14) as well as topological prop- threefold, from 240 EJ in 2005 to 730 EJ in 2050. Our model shows erties and specific urban form characteristics (15) partially ex- that urban planning and transport policies can limit the future plain the relationship between urban population density and increase in urban energy use to 540 EJ in 2050 and contribute to transport energy consumption.
    [Show full text]
  • State of NASA Oxygen Recovery
    48th International Conference on Environmental Systems ICES-2018-48 8-12 July 2018, Albuquerque, New Mexico State of NASA Oxygen Recovery Zachary W. Greenwood1, Morgan B. Abney2, Brittany R. Brown3, Eric T. Fox4, and Christine Stanley5 NASA, George C. Marshall Space Flight Center, Huntsville, Alabama, 35812, USA Life support is a critical function of any crewed space vehicle or habitat. One of the key elements of the life support system is the provision of oxygen to the crew. For missions close to Earth, oxygen may be resupplied from the ground, but as we look at exploring further out into the solar system for longer periods of time oxygen recovery from metabolic carbon dioxide (CO2) becomes a priority to minimize resupply requirements and enable feasible mission architectures. For more than half a century NASA has pursued the development of technology to enable oxygen recovery from metabolic CO2. Development work has included Bosch, Sabatier, and CO2 electrolysis systems and more recently plasma reactors, ionic liquids, and other exotic processes. NASA’s historical oxygen recovery work as well as the current state of oxygen recovery work currently going on within the agency is presented and discussed. Nomenclature IL = Ionic Liquid AR = Atmosphere Revitalization ISS = International Space Station C2H2 = Acetylene MSFC = Marshall Space Flight Center C2H4 = Ethylene OGA = Oxygen Generation Assembly C2H6 = Ethane PPA = Plasma Pyrolysis Assembly C = Carbon PSI = Pounds per Square Inch CM = Crew Member PSIG = Pounds per Square Inch Gauge CDRA = Carbon Dioxide Removal Assembly RGA = Residual Gas Analyzer CFR = Carbon Formation Reactor RTV = Room Temperature Vulcanizing CH4 = Methane RWGS = Reverse Water-Gas Shift CORTS = Carbon Dioxide Reduction Test Stand SBIR = Small Business Innovation Research CRA = Carbon Dioxide Reduction Assembly SCOR = Spacecraft Oxygen Recovery ECLSS = Environmental Control and Life SDU = Sabatier Development Unit Support Systems SI = Sustainable Innovations, Inc.
    [Show full text]
  • Fischer–Tropsch Synthesis As the Key for Decentralized Sustainable Kerosene Production †
    energies Article Fischer–Tropsch Synthesis as the Key for Decentralized Sustainable Kerosene Production † Andreas Meurer * and Jürgen Kern Department of Energy Systems Analysis, Institute of Networked Energy Systems, German Aerospace Center (DLR), Curiestraße 4, 70563 Stuttgart, Germany; [email protected] * Correspondence: [email protected]; Tel.: +49-711-6862-8100 † This paper is an extended version of our conference paper from 15th SDEWES Conference, Cologne, Germany, 1–5 September 2020. Abstract: Synthetic fuels play an important role in the defossilization of future aviation transport. To reduce the ecological impact of remote airports due to the long-range transportation of kerosene, decentralized on-site production of synthetic paraffinic kerosene is applicable, preferably as a near- drop-in fuel or, alternatively, as a blend. One possible solution for such a production of synthetic kerosene is the power-to-liquid process. We describe the basic development of a simplified plant layout addressing the specific challenges of decentralized kerosene production that differs from most of the current approaches for infrastructural well-connected regions. The decisive influence of the Fischer–Tropsch synthesis on the power-to-liquid (PtL) process is shown by means of a steady-state reactor model, which was developed in Python and serves as a basis for the further development of a modular environment able to represent entire process chains. The reactor model is based on reaction kinetics according to the current literature. The effects of adjustments of the main operation parameters on the reactor behavior were evaluated, and the impacts on the up- and downstream Citation: Meurer, A.; Kern, J.
    [Show full text]
  • Carbon Based Materials for Electrochemical and Chemical Energy Conversion and Storage Wei Wang
    Carbon based materials for electrochemical and chemical energy conversion and storage Wei Wang To cite this version: Wei Wang. Carbon based materials for electrochemical and chemical energy conversion and storage. Catalysis. Université de Strasbourg, 2019. English. NNT : 2019STRAF059. tel-03191849 HAL Id: tel-03191849 https://tel.archives-ouvertes.fr/tel-03191849 Submitted on 7 Apr 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. UNIVERSITÉ DE STRASBOURG ÉCOLE DOCTORALE DES SCIENCES CHIMIQUES (ED 222) ICPEES, UMR 7515 CNRS THÈSE présentée par : Wei WANG soutenue le : 06 décembre 2019 pour obtenir le grade de : Docteur de l’université de Strasbourg Discipline/ Spécialité : Chimie/Chimie Matériaux à base de carbone pour la conversion et le stockage d'énergie électrochimique et chimique Carbon based Materials for Electrochemical and Chemical Energy Conversion and Storage THÈSE dirigée par : M. PHAM-HUU Cuong Directeur de Recherche, Université de Strasbourg RAPPORTEURS : M. de JONG Krijn P. Professeur, Universiteit Utrecht M. KHODAKOV Andrei Directeur de Recherche, Université de Lille 1 EXAMINATEUR : M. LOUIS Benoît Directeur de Recherche, Université de Strasbourg MEMBRE INVITE : M. GIAMBASTIANI Giuliano Directeur de Recherche, Italian National Research Council Acknowledgement My PhD thesis has been performed at the Institute of Chemistry and Processes for Energy, Environment and Health (ICPEES, UMR 7515) of the CNRS, University of Strasbourg.
    [Show full text]
  • Handout: Ecological Footprints from Around the World
    Ecological Footprints From Around the World Handout Map Your Eco-Footprint lesson plan support material Green Star! Newsletter May/June 2006 Handout: Ecological Footprints From Around the World (Adapted from: “How big is your footprint,” Energy for a Sustainable Future — Education Project, www.esfep.org/ ) Ecological Footprints From Around the World: Where Do You Fit In? How Much Land Do You Need to Live? If you had to provide everything you use from your own land — how much land area would you need? This land would have to provide you with all of your food, water, energy and everything else that you use. The amount of land you would need to support your lifestyle is called your Ecological Footprint. The ecological footprint is one way of measuring the impact a person has on the environment. Is the World Big Enough for All of Our BIG Feet? The size of a person’s Ecological Footprint will depend on many factors. Do you grow your own food? Do you walk or drive? Do you use renewable or non-renewable energy sources? Everyone has an ecological footprint because we all need to use the earth’s resources to survive. But we must make sure we don’t take more resources than the earth can provide. Different people in the same country will have different sized ecological footprints. Different countries also have different ecological footprints. For example, a person with the average Canadian lifestyle has an ecological footprint of 8.56 hectares. A person living in Ethiopia, Africa, has an average ecological footprint of 0.67 hectares.
    [Show full text]