A multiple-uncertainty analysis framework for integrated assessment modelling of several sustainable development goals

Abstract This research introduces a two-level integration of climate-economy modelling and portfolio analysis, to simulate technological subsidisation with implications for multiple Sustainable Development Goals (SDGs), across socioeconomic trajectories and considering different levels of uncertainties. We use integrated assessment modelling outputs relevant for progress across three SDGs—namely air pollution-related mortality (SDG3), access to clean energy (SDG7) and greenhouse gas emissions (SDG13)—calculated with the Global Change Assessment Model (GCAM) for different subsidy levels for six sustainable technologies, across three Shared Socioeconomic Pathways (SSPs), feeding them into a portfolio analysis model. Optimal portfolios that are robust in the individual socioeconomic scenarios as well as across the socioeconomic scenarios are identified, by means of an SSP-robustness score. A second link between the two models is established, by feeding portfolio analysis results back into GCAM. Application in a case study for Eastern Africa confirms that most SSP-robust portfolios show smaller output ranges among scenarios.

[1]  Wenjing Shi,et al.  Projecting state-level air pollutant emissions using an integrated assessment model: GCAM-USA. , 2017, Applied energy.

[2]  Frank Ewert,et al.  Crop modelling for integrated assessment of risk to food production from climate change , 2015, Environ. Model. Softw..

[3]  Volker Krey,et al.  Global energy‐climate scenarios and models: a review , 2014 .

[4]  Patrick Sullivan,et al.  System Integration of Wind and Solar Power in Integrated Assessment Models: A Cross-Model Evaluation of New Approaches , 2017 .

[5]  Keywan Riahi,et al.  A new scenario framework for climate change research: the concept of shared socioeconomic pathways , 2013, Climatic Change.

[6]  Kevin A. Crowe,et al.  Using portfolio theory to guide reforestation and restoration under climate change scenarios , 2008 .

[7]  Oswald Marinoni,et al.  Water planning in a changing climate: Joint application of cost utility analysis and modern portfolio theory , 2011, Environ. Model. Softw..

[8]  Nebojsa Nakicenovic,et al.  Identifying dangers in an uncertain climate , 2001, Nature.

[9]  J. Bistline,et al.  Energy Technology R&D Portfolio Management: Modeling Uncertain Returns and Market Diffusion , 2016 .

[10]  David Starrett,et al.  Coping With Uncertainty: A Call for a New Science-Policy Forum , 2003, Ambio.

[11]  Alexandros Nikas,et al.  From Integrated to Integrative: Delivering on the Paris Agreement , 2018, Sustainability.

[12]  Meredydd Evans,et al.  Scenarios of building energy demand for China with a detailed regional representation , 2014 .

[13]  Senay Solak,et al.  Climate change and optimal energy technology R&D policy , 2011, Eur. J. Oper. Res..

[14]  J. Kim Swales,et al.  The regional electricity generation mix in Scotland: A portfolio selection approach , 2010 .

[15]  Andrew Higgins,et al.  Evaluating water quality investments using cost utility analysis. , 2008, Journal of environmental management.

[16]  J. Eom,et al.  The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview , 2017 .

[17]  Alexandros Nikas,et al.  The importance of stakeholders in scoping risk assessments—Lessons from low-carbon transitions , 2020, Environmental Innovation and Societal Transitions.

[18]  Anthony J. Jakeman,et al.  Integrated assessment and modelling: features, principles and examples for catchment management , 2003, Environ. Model. Softw..

[19]  Valeria Jana Schwanitz,et al.  Evaluating integrated assessment models of global climate change , 2013, Environ. Model. Softw..

[20]  K. Calvin,et al.  Future air pollution in the Shared Socio-economic Pathways , 2017 .

[21]  Marshall A. Wise,et al.  Energy R&D portfolio analysis based on climate change mitigation , 2011 .

[22]  Alexandros Nikas,et al.  Barriers to and consequences of a solar-based energy transition in Greece , 2020 .

[23]  Raimo P. Hämäläinen,et al.  Portfolio decision analysis methods in environmental decision making , 2017, Environ. Model. Softw..

[24]  Haris Doukas,et al.  Hedging uncertainty in energy efficiency strategies: a minimax regret analysis , 2020, Oper. Res..

[25]  Dalia Streimikiene,et al.  Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation , 2017 .

[26]  K. Riahi,et al.  The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century , 2017 .

[27]  Edgar G. Hertwich,et al.  Deriving life cycle assessment coefficients for application in integrated assessment modelling , 2018, Environ. Model. Softw..

[28]  Keywan Riahi,et al.  The MESSAGEix Integrated Assessment Model and the ix modeling platform (ixmp): An open framework for integrated and cross-cutting analysis of energy, climate, the environment, and sustainable development , 2019, Environ. Model. Softw..

[29]  Alain Haurie,et al.  Producing Policy-relevant Science by Enhancing Robustness and Model Integration for the Assessment of Global Environmental Change , 2019, Environ. Model. Softw..

[30]  J. Bergh,et al.  Optimal diversity of renewable energy alternatives under multiple criteria: An application to the UK , 2016 .

[31]  George Mavrotas,et al.  A multi-objective programming model for assessment the GHG emissions in MSW management. , 2013, Waste management.

[32]  B. Forman,et al.  Implications of water constraints on electricity capacity expansion in the United States , 2017, Nature Sustainability.

[33]  A. Nikas,et al.  Framing risks and uncertainties associated with low-carbon pathways , 2019, Narratives of Low-Carbon Transitions.

[34]  Alexandros Nikas,et al.  Integrated policy assessment and optimisation over multiple sustainable development goals in Eastern Africa , 2019, Environmental Research Letters.

[35]  Alexandros Nikas,et al.  Decision support models in climate policy , 2020, Eur. J. Oper. Res..

[36]  S. Schneider,et al.  Climate Change 2001: Synthesis Report: A contribution of Working Groups I, II, and III to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2001 .

[37]  R. Van Dingenen,et al.  TM5-FASST: a global atmospheric source–receptor model for rapid impact analysis of emission changes on air quality and short-lived climate pollutants , 2018, Atmospheric Chemistry and Physics.

[38]  Jean Chateau,et al.  Long-term economic growth projections in the Shared Socioeconomic Pathways , 2017 .

[39]  R. S. Laundy,et al.  Multiple Criteria Optimisation: Theory, Computation and Application , 1989 .

[40]  Ahti Salo,et al.  Multicriteria Portfolio Modeling for the Development of Shared Action Agendas , 2014 .

[41]  W. J. Wouter Botzen,et al.  Extending integrated assessment models′ damage functions to include adaptation and dynamic sensitivity , 2019, Environ. Model. Softw..

[42]  Carlo Giupponi,et al.  Innovative approaches to integrated global change modelling , 2013, Environ. Model. Softw..

[43]  Michael Obersteiner,et al.  Renewables and climate change mitigation: Irreversible energy investment under uncertainty and portfolio effects , 2012 .

[44]  Marshall A. Wise,et al.  ADVANCED ENERGY TECHNOLOGIES AND CLIMATE CHANGE: AN ANALYSIS USING THE GLOBAL CHANGE ASSESSMENT MODEL (GCAM) , 1994 .

[45]  K. Calvin,et al.  Integrated human-earth system modeling—state of the science and future directions , 2018, Environmental Research Letters.

[46]  Alexandros Nikas,et al.  Identifying optimal technological portfolios for European power generation towards climate change mitigation: A robust portfolio analysis approach , 2019, Utilities Policy.

[47]  Alexandros Nikas,et al.  A Detailed Overview and Consistent Classification of Climate-Economy Models , 2018, Understanding Risks and Uncertainties in Energy and Climate Policy.

[48]  David W. Engel,et al.  Uncertainty in integrated assessment models: modeling with MiniCAM 1.0 , 1999 .

[49]  Joseph H. A. Guillaume,et al.  Integrated assessment and modelling: Overview and synthesis of salient dimensions , 2015, Environ. Model. Softw..

[50]  José L. Bernal-Agustín,et al.  Optimal investment portfolio in renewable energy: The Spanish case , 2009 .

[51]  Frans Berkhout,et al.  Bridging analytical approaches for low-carbon transitions , 2016 .

[52]  Jung-hua Wu,et al.  A portfolio risk analysis on electricity supply planning , 2008 .

[53]  Keywan Riahi,et al.  A methodology and implementation of automated emissions harmonization for use in Integrated Assessment Models , 2018, Environ. Model. Softw..

[54]  Alexandros Nikas,et al.  A robust augmented ε-constraint method (AUGMECON-R) for finding exact solutions of multi-objective linear programming problems , 2020, Oper. Res..

[55]  Peter E. Thornton,et al.  The integrated Earth system model version 1: formulation and functionality , 2015 .

[56]  H. Doukas,et al.  Pathways for the transition of the Polish power sector and associated risks , 2020 .

[57]  M. Thring.  World Energy Outlook , 1977 .

[58]  Ana Paula F. D. Barbosa-Póvoa,et al.  Production and maintenance planning optimisation in biopharmaceutical processes under performance decay using a continuous-time formulation: A multi-objective approach , 2017, Comput. Chem. Eng..

[59]  Jack P. C. Kleijnen,et al.  Deterministic versus stochastic sensitivity analysis in investment problems: An environmental case study , 2002, Eur. J. Oper. Res..

[60]  H. Doukas,et al.  Investments in the EU Power System: A Stress Test Analysis on the Effectiveness of Decarbonisation Policies , 2018, Understanding Risks and Uncertainties in Energy and Climate Policy.

[61]  B. O’Neill,et al.  Global urbanization projections for the Shared Socioeconomic Pathways , 2017 .

[62]  Alexandros Nikas,et al.  Energy efficiency promotion in Greece in light of risk: Evaluating policies as portfolio assets , 2019, Energy.

[63]  Wolfgang Lutz,et al.  The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100 , 2017, Global environmental change : human and policy dimensions.

[64]  Artur Wyrwa,et al.  An optimization platform for Poland's power sector considering air pollution and health effects , 2015, Environ. Model. Softw..

[65]  George Mavrotas,et al.  An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems , 2013, Appl. Math. Comput..

[66]  J. Ashayeri,et al.  A new optimization approach for nozzle selection and component allocation in multi-head beam-type SMD placement machines , 2013 .

[67]  Frans Berkhout,et al.  Evaluating sustainability transitions pathways: Bridging analytical approaches to address governance challenges , 2015 .

[68]  Mikul Bhatia,et al.  Beyond Connections: Energy Access Redefined , 2015 .

[69]  Myles R. Allen.  Climate forecasting: Possible or probable? , 2003, Nature.

[70]  J. Weyant.  Some Contributions of Integrated Assessment Models of Global Climate Change , 2017, Review of Environmental Economics and Policy.

[71]  Roger Jones,et al.  Enhancing the relevance of Shared Socioeconomic Pathways for climate change impacts, adaptation and vulnerability research , 2013, Climatic Change.

[72]  Tao Zhao,et al.  What is the optimal power generation mix of China? An empirical analysis using portfolio theory , 2018, Applied Energy.

[73]  Laura Uusitalo,et al.  An overview of methods to evaluate uncertainty of deterministic models in decision support , 2015, Environ. Model. Softw..

[74]  Z. Paydar,et al.  Irrigation water management in uncertain conditions—Application of Modern Portfolio Theory , 2012 .

[75]  Matias Negrete-Pincetic,et al.  Portfolio applications in electricity markets review: Private investor and manager perspective trends , 2018 .

[76]  Ashutosh Kumar Singh,et al.  Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015 , 2016, Lancet.

[77]  Sander Janssen,et al.  Defining assessment projects and scenarios for policy support: Use of ontology in Integrated Assessment and Modelling , 2009, Environ. Model. Softw..

[78]  M. B. Beck,et al.  Accounting for structural error and uncertainty in a model: An approach based on model parameters as stochastic processes , 2012, Environ. Model. Softw..

[79]  G. Peters.  The 'best available science' to inform 1.5 [deg]C policy choices , 2016 .

[80]  Panagiotis Xidonas,et al.  Equity portfolio construction and selection using multiobjective mathematical programming , 2010, J. Glob. Optim..