IDEAS home Printed from https://ideas.repec.org/r/eee/renene/v101y2017icp417-430.html
   My bibliography  Save this item

A linear programming approach for battery degradation analysis and optimization in offgrid power systems with solar energy integration

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Schmid, Fabian & Winzer, Joscha & Pasemann, André & Behrendt, Frank, 2021. "An open-source modeling tool for multi-objective optimization of renewable nano/micro-off-grid power supply system: Influence of temporal resolution, simulation period, and location," Energy, Elsevier, vol. 219(C).
  2. Akhtar Hussain & Hak-Man Kim, 2020. "Goal-Programming-Based Multi-Objective Optimization in Off-Grid Microgrids," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
  3. Miquel Escoto & Mario Montagud & Noemi González & Alejandro Belinchón & Adriana Valentina Trujillo & Julián Romero & Julio César Díaz-Cabrera & Marta Pellicer García & Alfredo Quijano López, 2020. "Optimal Scheduling for Energy Storage Systems in Distribution Networks," Energies, MDPI, vol. 13(15), pages 1-12, July.
  4. Nguyen, Su & Peng, Wei & Sokolowski, Peter & Alahakoon, Damminda & Yu, Xinghuo, 2018. "Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading," Applied Energy, Elsevier, vol. 228(C), pages 2567-2580.
  5. Jurasz, Jakub & Guezgouz, Mohammed & Campana, Pietro E. & Kies, Alexander, 2022. "On the impact of load profile data on the optimization results of off-grid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
  6. Jiwen Qi & Li Li, 2023. "Economic Operation Strategy of an EV Parking Lot with Vehicle-to-Grid and Renewable Energy Integration," Energies, MDPI, vol. 16(4), pages 1-16, February.
  7. Li, Qian & Loy-Benitez, Jorge & Nam, KiJeon & Hwangbo, Soonho & Rashidi, Jouan & Yoo, ChangKyoo, 2019. "Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks," Energy, Elsevier, vol. 178(C), pages 277-292.
  8. Kumar, Jitendra & Suryakiran, B.V. & Verma, Ashu & Bhatti, T.S., 2019. "Analysis of techno-economic viability with demand response strategy of a grid-connected microgrid model for enhanced rural electrification in Uttar Pradesh state, India," Energy, Elsevier, vol. 178(C), pages 176-185.
  9. Senthilkumar Subramanian & Chandramohan Sankaralingam & Rajvikram Madurai Elavarasan & Raghavendra Rajan Vijayaraghavan & Kannadasan Raju & Lucian Mihet-Popa, 2021. "An Evaluation on Wind Energy Potential Using Multi-Objective Optimization Based Non-Dominated Sorting Genetic Algorithm III," Sustainability, MDPI, vol. 13(1), pages 1-29, January.
  10. Jean-Laurent Duchaud & Cyril Voyant & Alexis Fouilloy & Gilles Notton & Marie-Laure Nivet, 2020. "Trade-Off between Precision and Resolution of a Solar Power Forecasting Algorithm for Micro-Grid Optimal Control," Energies, MDPI, vol. 13(14), pages 1-16, July.
  11. Groissböck, Markus, 2019. "Are open source energy system optimization tools mature enough for serious use?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 234-248.
  12. Ali Saleh Aziz & Mohammad Faridun Naim Tajuddin & Mohd Rafi Adzman & Makbul A. M. Ramli & Saad Mekhilef, 2019. "Energy Management and Optimization of a PV/Diesel/Battery Hybrid Energy System Using a Combined Dispatch Strategy," Sustainability, MDPI, vol. 11(3), pages 1-26, January.
  13. Lucas Deotti & Wanessa Guedes & Bruno Dias & Tiago Soares, 2020. "Technical and Economic Analysis of Battery Storage for Residential Solar Photovoltaic Systems in the Brazilian Regulatory Context," Energies, MDPI, vol. 13(24), pages 1-30, December.
  14. Yue, Meiling & Jemei, Samir & Zerhouni, Noureddine & Gouriveau, Rafael, 2021. "Proton exchange membrane fuel cell system prognostics and decision-making: Current status and perspectives," Renewable Energy, Elsevier, vol. 179(C), pages 2277-2294.
  15. Mengmou Li & Taichi Tanaka & A. Daniel Carnerero & Yasuaki Wasa & Kenji Hirata & Yasumasa Fujisaki & Yoshiaki Ushifusa & Takeshi Hatanaka, 2023. "Stochastic Optimal Investment Strategy for Net-Zero Energy Houses," Papers 2308.07334, arXiv.org.
  16. Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Energy, Elsevier, vol. 203(C).
  17. Frate, G.F. & Cherubini, P. & Tacconelli, C. & Micangeli, A. & Ferrari, L. & Desideri, U., 2019. "Ramp rate abatement for wind power plants: A techno-economic analysis," Applied Energy, Elsevier, vol. 254(C).
  18. Mendoza-Vizcaino, Javier & Raza, Muhammad & Sumper, Andreas & Díaz-González, Francisco & Galceran-Arellano, Samuel, 2019. "Integral approach to energy planning and electric grid assessment in a renewable energy technology integration for a 50/50 target applied to a small island," Applied Energy, Elsevier, vol. 233, pages 524-543.
  19. Zia, Muhammad Fahad & Elbouchikhi, Elhoussin & Benbouzid, Mohamed, 2019. "Optimal operational planning of scalable DC microgrid with demand response, islanding, and battery degradation cost considerations," Applied Energy, Elsevier, vol. 237(C), pages 695-707.
  20. Bargos, Fabiano Fernandes & Lamas, Wendell de Queiróz & Bilato, Gabriel Adam, 2018. "Computational tools and operational research for optimal design of co-generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 507-516.
  21. Beath, Hamish & Baranda Alonso, Javier & Mori, Richard & Gambhir, Ajay & Nelson, Jenny & Sandwell, Philip, 2023. "Maximising the benefits of renewable energy infrastructure in displacement settings: Optimising the operation of a solar-hybrid mini-grid for institutional and business users in Mahama Refugee Camp, R," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
  22. Lai, Chun Sing & Locatelli, Giorgio & Pimm, Andrew & Tao, Yingshan & Li, Xuecong & Lai, Loi Lei, 2019. "A financial model for lithium-ion storage in a photovoltaic and biogas energy system," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
  23. Lorestani, Alireza & Gharehpetian, G.B. & Nazari, Mohammad Hassan, 2019. "Optimal sizing and techno-economic analysis of energy- and cost-efficient standalone multi-carrier microgrid," Energy, Elsevier, vol. 178(C), pages 751-764.
  24. Higuita Cano, Mauricio & Agbossou, Kodjo & Kelouwani, Sousso & Dubé, Yves, 2017. "Experimental evaluation of a power management system for a hybrid renewable energy system with hydrogen production," Renewable Energy, Elsevier, vol. 113(C), pages 1086-1098.
  25. Yuanli Liu & Minwu Chen & Shaofeng Lu & Yinyu Chen & Qunzhan Li, 2018. "Optimized Sizing and Scheduling of Hybrid Energy Storage Systems for High-Speed Railway Traction Substations," Energies, MDPI, vol. 11(9), pages 1-29, August.
  26. Correa-Florez, Carlos Adrian & Gerossier, Alexis & Michiorri, Andrea & Kariniotakis, Georges, 2018. "Stochastic operation of home energy management systems including battery cycling," Applied Energy, Elsevier, vol. 225(C), pages 1205-1218.
  27. Sweta Singh & Adam Slowik & Neeraj Kanwar & Nand K. Meena, 2021. "Techno-Economic Feasibility Analysis of Grid-Connected Microgrid Design by Using a Modified Multi-Strategy Fusion Artificial Bee Colony Algorithm," Energies, MDPI, vol. 14(1), pages 1-20, January.
  28. Zhang, Kuan & Zhou, Bin & Li, Canbing & Voropai, Nikolai & Li, Jiayong & Huang, Wentao & Wang, Tao, 2021. "Dynamic modeling and coordinated multi-energy management for a sustainable biogas-dominated energy hub," Energy, Elsevier, vol. 220(C).
  29. Gorman, Will & Jarvis, Stephen & Callaway, Duncan, 2020. "Should I Stay Or Should I Go? The importance of electricity rate design for household defection from the power grid," Applied Energy, Elsevier, vol. 262(C).
  30. Jura Jurčević & Ivan Pavić & Nikolina Čović & Denis Dolinar & Davor Zoričić, 2022. "Estimation of Internal Rate of Return for Battery Storage Systems with Parallel Revenue Streams: Cycle-Cost vs. Multi-Objective Optimisation Approach," Energies, MDPI, vol. 15(16), pages 1-17, August.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.