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面向低碳村鎮(zhèn)的可再生能源熱電聯(lián)供系統(tǒng)仿真與優(yōu)化
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國家自然科學基金項目(51406064)


Simulation and Optimization of Renewable Energy Cogeneration-System for Low-carbon Villages
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    摘要:

    為促進中國農村可再生能源轉型與綠色低碳發(fā)展,,實現(xiàn)低碳村鎮(zhèn)的新時期建設目標,以湖北省新星村為研究案例,,基于農村用能需求及可再生能源資源稟賦分析,,提出了一種風,、光、生物質互補的可再生能源熱電聯(lián)供系統(tǒng),。以最低成本與最低平均電價為系統(tǒng)目標函數(shù),,以熱電覆蓋率及生物質利用率為系統(tǒng)評價指標,構建了基于HOMER Pro仿真系統(tǒng)的農村可再生能源熱電聯(lián)供模型,,通過仿真分析與容量優(yōu)化獲得了新星村可再生能源系統(tǒng)的構建方案,,即由功率674kW的光伏、功率200kW的風力發(fā)電機和功率500kW的CHP熱電聯(lián)供機組及外部熱源構成最佳系統(tǒng)框架,,此時最低系統(tǒng)成本與電價分別為2.30×107元/a和0.986元/(kW·h),。進一步敏感性分析結果表明,,電力負荷提高會導致系統(tǒng)成本及電價上升,,名義折現(xiàn)率提高會降低成本但導致電價上漲,生物質日輸入量對經濟指標無影響,。減排評估結果表明,,相較于傳統(tǒng)供能方式,系統(tǒng)年減排量達410.77t,,相當于新星村傳統(tǒng)供能方式下年排放量的28.19%,,減排效益明顯。該可再生能源供能系統(tǒng)整體經濟性與實用性良好,,可為農村地區(qū)能源轉型與低碳村鎮(zhèn)的建設提供參考,。

    Abstract:

    Promoting of renewable energy and low-carbon approaches in rural China has become essential to achieving the goals of low-carbon villages. Therefore, considering the Xinxing Village, Hubei Province as a case study. Based on the analysis of rural energy demand and renewable energy resources, a renewable energy cogeneration system integrated with wind, solar, and biomass energy was proposed. A rural renewable energy cogeneration model was established based on the HOMER Pro simulation system with the lowest cost and lowest average electricity price as the system objective functions, and the thermal power coverage and biomass utilization rate as the system evaluation indicators. The construction plan of the renewable energy cogeneration system in Xinxing Village was obtained through simulation analysis and capacity optimization, which consisted of 674kW photovoltaic, 200kW wind turbine, 500kW CHP cogeneration unit and external heat source. Moreover, the lowest system cost and electricity price of renewable energy were 2.30×107CNY/a and 0.986CNY/(kW·h). Further sensitivity analysis results indicated that the increased power load could increase system costs and electricity prices. While increasing the nominal discount rate reduced costs but led to an increase in electricity prices. Daily biomass input had no impact on economic indicators. The emission reduction assessment results showed that compared with traditional energy supply methods, the annual emission reduction of the system reached 410.77t, equivalent to 28.19% of annual emissions of traditional energy supply method in Xinxing Village. The overall economic and practical performance of this renewable energy supply system was excellent. The research result can provide a scientific reference for the energy revolution and the construction of low-carbon villages and towns in rural areas.

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艾平,彭宇志,金柯達,康霜,徐文勇,李冰峰.面向低碳村鎮(zhèn)的可再生能源熱電聯(lián)供系統(tǒng)仿真與優(yōu)化[J].農業(yè)機械學報,2023,54(s2):350-358,399. AI Ping, PENG Yuzhi, JIN Keda, KANG Shuang, XU Wenyong, LI Bingfeng. Simulation and Optimization of Renewable Energy Cogeneration-System for Low-carbon Villages[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(s2):350-358,,399.

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  • 收稿日期:2023-06-30
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  • 在線發(fā)布日期: 2023-08-28
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