Developing Oregon's renewable energy portfolio using fuzzy goal programming model

Renewable energy continues to be a hot topic in the United States affecting security and sustainability. A model to create renewable energy portfolio is established using guidelines drawn by Oregon's Renewable Portfolio Standard (RPS) legislation with the objective of responding to a 25% of the state electricity demand by renewable resources in 2025. The fuzzy goal programming model is adaptable to accommodate changes in energy costs and future advances in technology maturity. It can also take into consideration the preferences of policy-makers and stakeholders. This model can help to reveal the costs and benefits of complex decisions regarding renewable energy.

[1]  J. Besant-Jones,et al.  Estimating Construction Costs and Schedules: Experience With Power Generation Projects in Developing Countries , 1996 .

[2]  Ryan Wiser,et al.  The Experience with Renewable Portfolio Standards in the United States , 2007 .

[3]  Tomaž Katrašnik,et al.  Analytical framework for analyzing the energy conversion efficiency of different hybrid electric vehicle topologies , 2009 .

[4]  Petter Osmundsen,et al.  Investment cost estimates and investment decisions , 2002 .

[5]  Janet Sawin,et al.  American energy: the renewable path to energy security. , 2006 .

[6]  K. Tsagarakis,et al.  Assessment of public acceptance and willingness to pay for renewable energy sources in Crete , 2010 .

[7]  R. Tiwari,et al.  Fuzzy goal programming- an additive model , 1987 .

[8]  Tetsuo Sawada,et al.  Local Civic Forum: An experimental study promoting public acceptance on nuclear energy , 2008 .

[9]  Tomaž Katrašnik,et al.  Energy conversion efficiency of hybrid electric heavy-duty vehicles operating according to diverse drive cycles , 2009 .

[10]  Robert Phaal,et al.  From theory to practice: challenges in operationalising a technology selection framework , 2006 .

[11]  K. Zweibel,et al.  Progress and issues in polycrystalline thin-film PV technologies , 1996, Conference Record of the Twenty Fifth IEEE Photovoltaic Specialists Conference - 1996.

[12]  Heinrich Mandel.  Construction costs of nuclear power stations , 1976 .

[13]  J. Munksgaard,et al.  Effects of internalising external production costs in a North European power market , 2002 .

[14]  J. Sawin,et al.  Mainstreaming Renewable Energy In The 21st Century , 2004 .

[15]  Ignacio López,et al.  A methodology for evaluating environmental impacts of railway freight transportation policies , 2009 .

[16]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[17]  Anna Widerberg,et al.  Market Structure and the Stability and Volatility of Electricity Prices , 2009 .

[18]  E. Schmid,et al.  Global land-use implications of first and second generation biofuel targets , 2011 .

[19]  Jeremy J. Michalek,et al.  Impact of Battery Weight and Charging Patterns on the Economic and Environmental Benefits of Plug-in Hybrid Vehicles , 2009 .

[20]  I. Rowlands,et al.  Consumer perceptions of “green power” , 2002 .

[21]  L. Imre,et al.  Role of the Information Transfer in the Public Acceptance of the Renewable Energy Technologies , 2000 .

[22]  J. V. Greenman,et al.  The price of energy and factor substitution in the US economy , 1987 .

[23]  Nenad Debrecin,et al.  External costs of electricity production: case study Croatia , 2005 .

[24]  T. Govindaraj.  Characterizing performance in socio-technical systems: A modeling framework in the domain of nuclear power , 2008 .

[25]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[26]  Shao-Yuan Li,et al.  A fuzzy goal programming approach to multi-objective optimization problem with priorities , 2007, Eur. J. Oper. Res..

[27]  Surendra M. Gupta,et al.  Disassembly to order system under uncertainty , 2006 .

[28]  Jing Liu,et al.  The analysis on energy and environmental impacts of microalgae-based fuel methanol in China , 2009 .

[29]  Chang-Chun Lin,et al.  A weighted max-min model for fuzzy goal programming , 2004, Fuzzy Sets Syst..

[30]  D. Dowall.  US land use and energy policy — assessing potential conflicts , 1980 .

[31]  Tugrul U. Daim,et al.  Assessing Renewable Energy Portfolio Futures with Multiple Perspectives: The Case of the Northwest US , 2010 .

[32]  Joan Rieradevall,et al.  Environmental impacts of the infrastructure for district heating in urban neighbourhoods , 2009 .

[33]  Tai Hyun Park,et al.  Evaluation of conversion efficiency of light to hydrogen energy by Anabaena variabilis , 2006 .

[34]  M. Wackernagel,et al.  Perceptual and structural barriers to investing in natural capital: Economics from an ecological footprint perspective , 1997 .

[35]  K. Tan,et al.  Just in time, total quality management, and supply chain management: understanding their linkages and impact on business performance , 2005 .

[36]  Alejandro Caparrós,et al.  Land use and carbon mitigation in Europe : A survey of the potentials of different alternatives , 2009 .

[37]  Danilo J. Santini,et al.  Enhancing energy price stability through consistent and balanced energy technology R&D , 1989 .

[38]  Danilo Feretić,et al.  Probabilistic analysis of electrical energy costs comparing: production costs for gas, coal and nuclear power plants , 2005 .

[39]  Miriam Ricci,et al.  What do we know about public perceptions and acceptance of hydrogen? A critical review and new case study evidence , 2008 .

[40]  B. W. Ang.  Energy-output ratios and sectoral energy use: The case of Southeast Asian countries , 1987 .

[41]  Petra Schweizer-Ries,et al.  Public acceptance of renewable energies: Results from case studies in Germany , 2008 .

[42]  Ching-Ter Chang,et al.  Multi-choice goal programming , 2007 .

[43]  Waiel F. Abd El-Wahed,et al.  Interactive fuzzy goal programming for multi-objective transportation problems ☆ , 2006 .