A simplified model for the estimation of life-cycle greenhouse gas emissions of enhanced geothermal systems

BackgroundThe development of `enhanced geothermal systems' (EGS), designed to extract energy from deep low-enthalpy reservoirs, is opening new scenarios of growth for the whole geothermal sector. A relevant tool to estimate the environmental performances of such emerging renewable energy (RE) technology is Life Cycle Assessment (LCA). However, the application of this cradle-to-grave approach is complex and time-consuming. Moreover, LCA results available for EGS case studies cover a fairly high variability range.MethodsA new type of LCA-based approach, called simplified model, is developed based on the analysis of environmental performance variability of energy pathways. Such methodology has been applied to produce a reduced parameterized model, designed to estimate life-cycle greenhouse gas (GHG) emissions of EGS power plants applicable to a large sample of configurations.ResultsTwo parameterized models to assess EGS greenhouses gases (GHG) are the outcomes of this study. A parameterized reference model is developed to describe a large sample of possible EGS power plants located in central Europe. Two or three wells plants equipped with a binary system producing only electricity are accounted for. Applying global sensitivity analysis (GSA) to this reference model allows the identification of three key variables, responsible for most of the variability on GHG results: installed power capacity, drilling depth, and number of wells. A reduced parameterized model for the estimate of the GHG performances as the only function of these three key variables is then established. A comparison with the results of published EGS LCAs confirms the representativeness of our new simplified model.ConclusionsOur simplified model, issued from the reference parameterized model, enables a rapid and simple estimate of the environmental performances of an EGS power plant, avoiding the extensive application of the LCA methodology. It provides an easy-to-use tool for the stakeholders of the EGS sector and for decision makers. It aims at contributing to the debate about the performances of this new emerging technology and its related environmental impacts.

[1]  Albert Genter,et al.  The EGS Soultz Case study: lessons learnt after two decades of geothermal researches , 2010 .

[2]  Lennart Olsson,et al.  Categorising tools for sustainability assessment , 2007 .

[3]  Martin Pehnt,et al.  Dynamic life cycle assessment (LCA) of renewable energy technologies , 2006 .

[4]  Freyr Sverrisson,et al.  Renewables 2014 : global status report , 2014 .

[5]  Ernst Huenges,et al.  Geothermal energy systems : exploration, development, and utilization , 2010 .

[6]  Martin Kaltschmitt,et al.  Life cycle assessment of geothermal binary power plants using enhanced low-temperature reservoirs , 2010 .

[7]  J. Lund The USA geothermal country update , 2003 .

[8]  Hiroki Hondo,et al.  Life cycle GHG emission analysis of power generation systems: Japanese case , 2005 .

[9]  S. Schneider,et al.  Climate Change 2007 Synthesis report , 2008 .

[10]  Roberto Dones,et al.  Deliverable n° D3.2 - RS 2b "Final set of sustainability criteria and indicator s for assessment of electricity supply options" , 2008 .

[11]  Philipp Blum,et al.  Review on life cycle environmental effects of geothermal power generation , 2013 .

[12]  I. Sobola,et al.  Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates , 2001 .

[13]  Isabelle Blanc,et al.  Environmental analysis of practical design options for enhanced geothermal systems (EGS) through life-cycle assessment , 2013 .

[14]  Bertrand Iooss Revue sur l’analyse de sensibilité globale de modèles numériques , 2011 .

[15]  T. Tischner,et al.  Successful Hydraulic Stimulation Techniques for Electric Power Production in the Upper Rhine Graben , Central Europe , 2010 .

[16]  Varun,et al.  LCA of renewable energy for electricity generation systems—A review , 2009 .

[17]  Gregory A. Keoleian,et al.  Parameters affecting the life cycle performance of PV technologies and systems , 2007 .

[18]  Manfred Lenzen,et al.  Life cycle energy and greenhouse gas emissions of nuclear energy: A review , 2008 .

[19]  Danièle Revel,et al.  IPCC Special Report on Renewable Energy Sources and Climate Change Mitigation , 2011 .

[20]  Hans-Jürgen Dr. Klüppel,et al.  The Revision of ISO Standards 14040-3 - ISO 14040: Environmental management – Life cycle assessment – Principles and framework - ISO 14044: Environmental management – Life cycle assessment – Requirements and guidelines , 2005 .

[21]  R. Schellschmidt,et al.  CHEMICAL STIMULATION OPERATIONS FOR RESERVOIR DEVELOPMENT OF THE DEEP CRYSTALLINE HDR / EGS SYSTEM AT SOULTZ-SOUS-FORÊTS ( FRANCE ) , 2008 .

[22]  Michael Wang,et al.  Cumulative energy, emissions, and water consumption for geothermal electric power production , 2013 .

[23]  Reinout Heijungs,et al.  Identification of key issues for further investigation in improving the reliability of life-cycle assessments , 1996 .

[24]  Valerio Lo Brano,et al.  Energy performances and life cycle assessment of an Italian wind farm , 2008 .

[25]  S. Frick,et al.  Economic Performance and Environmental Assessment , 2010 .

[26]  Gerald Rebitzer,et al.  IMPACT 2002+: A new life cycle impact assessment methodology , 2003 .

[27]  P. Padey,et al.  From LCAs to simplified models: a generic methodology applied to wind power electricity. , 2013, Environmental science & technology.

[28]  W. Glassley Geothermal Energy: Renewable Energy and the Environment , 2010 .