Stochastic Optimal Operation of Low-Carbon Renewable Energy System
| Autor: | Pengda Wang, Feng Guang, Da Xu, Bin Zhou, Wenfang Li, Longjie Huang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Forms of energy
business.industry 020209 energy Scheduling (production processes) 02 engineering and technology Energy storage Renewable energy 0202 electrical engineering electronic engineering information engineering Energy transformation Environmental science Microgrid Electricity Process engineering business Efficient energy use |
| Zdroj: | 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). |
| DOI: | 10.1109/appeec.2018.8566283 |
| Popis: | This paper proposes a low-carbon renewable energy system for coupled multi-energy supplies. In this system, various energy conversion and storage devices are adopted to convert and condition the biomass-solar-wind hybrid renewables into different forms of energy carriers. Carbon dioxide emissions incurred during the energy conversion process is captured based on the power-to-gas technology for subsequent cyclic utilization. A multi-energy scheduling scheme is then developed to optimize the coupled electricity, gas, heat, and carbon dioxide flows for energy-efficient conversion and storage. Case studies are presented to demonstrate the superiority of the proposed low-carbon system in the improvement of renewable accommodation and energy efficiency. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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