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Optimizing design and dispatch of a renewable energy system

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  • Ogunmodede, Oluwaseun
  • Anderson, Kate
  • Cutler, Dylan
  • Newman, Alexandra

Abstract

Renewable energy technologies are becoming increasingly important due to their cost-competitiveness, and because of enhanced climate concerns. We demonstrate the capabilities of an integer-programming optimization model that minimizes capital (investment) and operational costs, and utility charges, while adhering to system sizing constraints, demand requirements, and interoperability characteristics of the systems chosen. The model recommends an optimally sized mix of renewable energy, conventional generation, and energy storage technologies, while simultaneously optimizing the corresponding dispatch strategy. Our case studies explore several venues, i.e., a small campus and a local hospital, with complex utility rate tariffs, multi-technology integration opportunities, and incentives for renewable power production. Using an optimization model, versus applying rules of thumb, can produce millions of dollars in savings over a 25-year time horizon and result in thousands of kilowatts of installed renewable energy.

Suggested Citation

  • Ogunmodede, Oluwaseun & Anderson, Kate & Cutler, Dylan & Newman, Alexandra, 2021. "Optimizing design and dispatch of a renewable energy system," Applied Energy, Elsevier, vol. 287(C).
    • Handle: RePEc:eee:appene:v:287:y:2021:i:c:s0306261921000829
    DOI: 10.1016/j.apenergy.2021.116527
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    5. Igogo, Tsisilile & Awuah-Offei, Kwame & Newman, Alexandra & Lowder, Travis & Engel-Cox, Jill, 2021. "Integrating renewable energy into mining operations: Opportunities, challenges, and enabling approaches," Applied Energy, Elsevier, vol. 300(C).
    6. Huang, Yan & Ju, Yuntao & Ma, Kang & Short, Michael & Chen, Tao & Zhang, Ruosi & Lin, Yi, 2022. "Three-phase optimal power flow for networked microgrids based on semidefinite programming convex relaxation," Applied Energy, Elsevier, vol. 305(C).
    7. Yuanyuan He & Luxin Wan & Manli Zhang & Huijuan Zhao, 2022. "Regional Renewable Energy Installation Optimization Strategies with Renewable Portfolio Standards in China," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    8. Kong, Xue & Wang, Hongye & Li, Nan & Mu, Hailin, 2022. "Multi-objective optimal allocation and performance evaluation for energy storage in energy systems," Energy, Elsevier, vol. 253(C).
    9. Qiu, Lihua & He, Li & Kang, Yu & Liang, Dongzhe, 2022. "Assessment of the potential of enhanced geothermal systems in Asia under the impact of global warming," Renewable Energy, Elsevier, vol. 194(C), pages 636-646.
    10. Kazi Sifatul Islam & Samiul Hasan & Tamal Chowdhury & Hemal Chowdhury & Sadiq M. Sait, 2022. "Outage Survivability Investigation of a PV/Battery/CHP System in a Hospital Building in Texas," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
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