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Designing effective and efficient incentive policies for renewable energy in generation expansion planning

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  1. Munoz, Francisco D. & Pumarino, Bruno J. & Salas, Ignacio A., 2017. "Aiming low and achieving it: A long-term analysis of a renewable policy in Chile," Energy Economics, Elsevier, vol. 65(C), pages 304-314.
  2. Reuter, Wolf Heinrich & Szolgayová, Jana & Fuss, Sabine & Obersteiner, Michael, 2012. "Renewable energy investment: Policy and market impacts," Applied Energy, Elsevier, vol. 97(C), pages 249-254.
  3. Jiaping Xie & Lihong Wei & Weisi Zhang & Yu Xia & Jing Li, 2019. "A Responsive Pricing Grid Operator Sourcing from Competing Generators under Uncertain Supply and Demand," Sustainability, MDPI, vol. 11(15), pages 1-30, July.
  4. Sadeghi, Hadi & Rashidinejad, Masoud & Abdollahi, Amir, 2017. "A comprehensive sequential review study through the generation expansion planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1369-1394.
  5. Song, Peng & Mao, Xianqiang & Li, Ziyan & Tan, Zhixiong, 2023. "Study on the optimal policy options for improving energy efficiency and Co-controlling carbon emission and local air pollutants in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
  6. Ying, Zhou & Xin-gang, Zhao & Xue-feng, Jia & Zhen, Wang, 2021. "Can the Renewable Portfolio Standards improve social welfare in China's electricity market？," Energy Policy, Elsevier, vol. 152(C).
  7. Masoumzadeh, Amin & Alpcan, Tansu & Nekouei, Ehsan, 2020. "Designing tax and subsidy incentives towards a green and reliable electricity market," Energy, Elsevier, vol. 195(C).
  8. Aryani, Morteza & Ahmadian, Mohammad & Sheikh-El-Eslami, Mohammad-Kazem, 2020. "Designing a regulatory tool for coordinated investment in renewable and conventional generation capacities considering market equilibria," Applied Energy, Elsevier, vol. 279(C).
  9. Niknam, Taher & Taheri, Seyed Iman & Aghaei, Jamshid & Tabatabaei, Sajad & Nayeripour, Majid, 2011. "A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources," Applied Energy, Elsevier, vol. 88(12), pages 4817-4830.
  10. Romero-Ramos, J.A. & Gil, J.D. & Cardemil, J.M. & Escobar, R.A. & Arias, I. & Pérez-García, M., 2023. "A GIS-AHP approach for determining the potential of solar energy to meet the thermal demand in southeastern Spain productive enclaves," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
  11. Peker, Meltem & Kocaman, Ayse Selin & Kara, Bahar Y., 2018. "Benefits of transmission switching and energy storage in power systems with high renewable energy penetration," Applied Energy, Elsevier, vol. 228(C), pages 1182-1197.
  12. Faezeh Akhavizadegan & Lizhi Wang & James McCalley, 2020. "Scenario Selection for Iterative Stochastic Transmission Expansion Planning," Energies, MDPI, vol. 13(5), pages 1-18, March.
  13. Quiroga, Daniela & Sauma, Enzo & Pozo, David, 2019. "Power system expansion planning under global and local emission mitigation policies," Applied Energy, Elsevier, vol. 239(C), pages 1250-1264.
  14. Arjun Mahalingam & David M. Reiner, 2016. "Energy Subsidies at Times of Economic Crisis: A Comparative Study and Scenario Analysis of Italy and Spain," Working Papers EPRG 1603, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  15. Stojiljković, Mirko M., 2017. "Bi-level multi-objective fuzzy design optimization of energy supply systems aided by problem-specific heuristics," Energy, Elsevier, vol. 137(C), pages 1231-1251.
  16. Burtt, D. & Dargusch, P., 2015. "The cost-effectiveness of household photovoltaic systems in reducing greenhouse gas emissions in Australia: Linking subsidies with emission reductions," Applied Energy, Elsevier, vol. 148(C), pages 439-448.
  17. Merve Bodur & Timothy C. Y. Chan & Ian Yihang Zhu, 2022. "Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1471-1488, May.
  18. Jadidoleslam, Morteza & Ebrahimi, Akbar & Latify, Mohammad Amin, 2017. "Probabilistic transmission expansion planning to maximize the integration of wind power," Renewable Energy, Elsevier, vol. 114(PB), pages 866-878.
  19. Álvaro García-Cerezo & Luis Baringo & Raquel García-Bertrand, 2020. "Representative Days for Expansion Decisions in Power Systems," Energies, MDPI, vol. 13(2), pages 1-18, January.
  20. Zhao, Ning & You, Fengqi, 2019. "Dairy waste-to-energy incentive policy design using Stackelberg-game-based modeling and optimization," Applied Energy, Elsevier, vol. 254(C).
  21. Aryani, Morteza & Ahmadian, Mohammad & Sheikh-El-Eslami, Mohammad-Kazem, 2021. "Coordination of risk-based generation investments in conventional and renewable capacities in oligopolistic electricity markets: A robust regulatory tool," Energy, Elsevier, vol. 214(C).
  22. Ahmadpour, Ali & Mokaramian, Elham & Anderson, Simon, 2021. "The effects of the renewable energies penetration on the surplus welfare under energy policy," Renewable Energy, Elsevier, vol. 164(C), pages 1171-1182.
  23. Shi, Yi & Xu, Jiuping, 2023. "A multi-objective approach to kitchen waste and excess sludge co-digestion for biomethane production with anaerobic digestion," Energy, Elsevier, vol. 262(PA).
  24. Siddiqui, Afzal S. & Tanaka, Makoto & Chen, Yihsu, 2016. "Are targets for renewable portfolio standards too low? The impact of market structure on energy policy," European Journal of Operational Research, Elsevier, vol. 250(1), pages 328-341.
  25. Ladenburg, Jacob & Dahlgaard, Jens-Olav, 2012. "Attitudes, threshold levels and cumulative effects of the daily wind-turbine encounters," Applied Energy, Elsevier, vol. 98(C), pages 40-46.
  26. Dagoumas, Athanasios S. & Koltsaklis, Nikolaos E., 2019. "Review of models for integrating renewable energy in the generation expansion planning," Applied Energy, Elsevier, vol. 242(C), pages 1573-1587.
  27. Baringo, L. & Conejo, A.J., 2013. "Correlated wind-power production and electric load scenarios for investment decisions," Applied Energy, Elsevier, vol. 101(C), pages 475-482.
  28. Shiva Amini & Salah Bahramara & Hêmin Golpîra & Bruno Francois & João Soares, 2022. "Techno-Economic Analysis of Renewable-Energy-Based Micro-Grids Considering Incentive Policies," Energies, MDPI, vol. 15(21), pages 1-19, November.
  29. Li, Wei & Sun, Hui & Dong, Hao & Gan, Yuqin & Koh, Lenny, 2023. "Outsourcing decision-making in global remanufacturing supply chains: The impact of tax and tariff regulations," European Journal of Operational Research, Elsevier, vol. 304(3), pages 997-1010.
  30. Haas, J. & Cebulla, F. & Cao, K. & Nowak, W. & Palma-Behnke, R. & Rahmann, C. & Mancarella, P., 2017. "Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 603-619.
  31. Fernández-Blanco, Ricardo & Morales, Juan Miguel & Pineda, Salvador, 2021. "Forecasting the price-response of a pool of buildings via homothetic inverse optimization," Applied Energy, Elsevier, vol. 290(C).
  32. Yan, Yue & Sun, Mei & Guo, Zhilong, 2022. "How do carbon cap-and-trade mechanisms and renewable portfolio standards affect renewable energy investment?," Energy Policy, Elsevier, vol. 165(C).
  33. Tabatabaei, Sharareh Majdzadeh & Hadian, Ebrahim & Marzban, Hossein & Zibaei, Mansour, 2017. "Economic, welfare and environmental impact of feed-in tariff policy: A case study in Iran," Energy Policy, Elsevier, vol. 102(C), pages 164-169.
  34. Hao, Peng & Guo, Jun-Peng & Chen, Yihsu & Xie, Bai-Chen, 2020. "Does a combined strategy outperform independent policies? Impact of incentive policies on renewable power generation," Omega, Elsevier, vol. 97(C).
  35. Martelli, Emanuele & Freschini, Marco & Zatti, Matteo, 2020. "Optimization of renewable energy subsidy and carbon tax for multi energy systems using bilevel programming," Applied Energy, Elsevier, vol. 267(C).
  36. Toka, Agorasti & Iakovou, Eleftherios & Vlachos, Dimitrios & Tsolakis, Naoum & Grigoriadou, Anastasia-Loukia, 2014. "Managing the diffusion of biomass in the residential energy sector: An illustrative real-world case study," Applied Energy, Elsevier, vol. 129(C), pages 56-69.
  37. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2020. "Do renewable energy production spillovers matter in the EU?," Renewable Energy, Elsevier, vol. 150(C), pages 786-796.
  38. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
  39. Wu, Jung-Hua & Huang, Yun-Hsun, 2014. "Electricity portfolio planning model incorporating renewable energy characteristics," Applied Energy, Elsevier, vol. 119(C), pages 278-287.
  40. Ozcan, Mustafa, 2014. "Assessment of renewable energy incentive system from investors' perspective," Renewable Energy, Elsevier, vol. 71(C), pages 425-432.
  41. Scott, Ian J. & Botterud, Audun & Carvalho, Pedro M.S. & Silva, Carlos A. Santos, 2020. "Renewable energy support policy evaluation: The role of long-term uncertainty in market modelling," Applied Energy, Elsevier, vol. 278(C).
  42. Schell, Kristen R. & Claro, João & Fischbeck, Paul, 2015. "Geographic attribution of an electricity system renewable energy target: Local economic, social and environmental tradeoffs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 884-902.
  43. Pineda, Salvador & Bock, Andreas, 2016. "Renewable-based generation expansion under a green certificate market," Renewable Energy, Elsevier, vol. 91(C), pages 53-63.
  44. Sampaio, Henrique César & Dias, Rubens Alves & Balestieri, José Antônio Perrella, 2013. "Sustainable urban energy planning: The case study of a tropical city," Applied Energy, Elsevier, vol. 104(C), pages 924-935.
  45. Gacitua, L. & Gallegos, P. & Henriquez-Auba, R. & Lorca, Á. & Negrete-Pincetic, M. & Olivares, D. & Valenzuela, A. & Wenzel, G., 2018. "A comprehensive review on expansion planning: Models and tools for energy policy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 346-360.
  46. Bagheri, Mehdi & Delbari, Seyed Hamid & Pakzadmanesh, Mina & Kennedy, Christopher A., 2019. "City-integrated renewable energy design for low-carbon and climate-resilient communities," Applied Energy, Elsevier, vol. 239(C), pages 1212-1225.
  47. Molavi, Anahita & Lim, Gino J. & Shi, Jian, 2020. "Stimulating sustainable energy at maritime ports by hybrid economic incentives: A bilevel optimization approach," Applied Energy, Elsevier, vol. 272(C).
  48. Hossa Almutairi & Samir Elhedhli, 2014. "Carbon tax based on the emission factor: a bilevel programming approach," Journal of Global Optimization, Springer, vol. 58(4), pages 795-815, April.
  49. Zhou, Yuzhou & Zhai, Qiaozhu & Yuan, Wei & Wu, Jiang, 2021. "Capacity expansion planning for wind power and energy storage considering hourly robust transmission constrained unit commitment," Applied Energy, Elsevier, vol. 302(C).
  50. Polzin, Friedemann & Egli, Florian & Steffen, Bjarne & Schmidt, Tobias S., 2019. "How do policies mobilize private finance for renewable energy?—A systematic review with an investor perspective," Applied Energy, Elsevier, vol. 236(C), pages 1249-1268.
  51. Xenophon, Aleksis Kazubiernis & Hill, David John, 2019. "Emissions reduction and wholesale electricity price targeting using an output-based mechanism," Applied Energy, Elsevier, vol. 242(C), pages 1050-1063.
  52. Amrutha, A.A. & Balachandra, P. & Mathirajan, M., 2017. "Role of targeted policies in mainstreaming renewable energy in a resource constrained electricity system: A case study of Karnataka electricity system in India," Energy Policy, Elsevier, vol. 106(C), pages 48-58.
  53. Huang, Zhenhua & Fan, Hongqin, 2022. "Responsibility-sharing subsidy policy for reducing diesel emissions from in-use off-road construction equipment," Applied Energy, Elsevier, vol. 320(C).
  54. Pineda, Salvador & Boomsma, Trine K. & Wogrin, Sonja, 2018. "Renewable generation expansion under different support schemes: A stochastic equilibrium approach," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1086-1099.
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