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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(xué)基金項(xiàng)目(51406064)


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

    為促進(jìn)中國農(nóng)村可再生能源轉(zhuǎn)型與綠色低碳發(fā)展,,實(shí)現(xiàn)低碳村鎮(zhèn)的新時(shí)期建設(shè)目標(biāo),以湖北省新星村為研究案例,,基于農(nóng)村用能需求及可再生能源資源稟賦分析,,提出了一種風(fēng)、光,、生物質(zhì)互補(bǔ)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(jià)為系統(tǒng)目標(biāo)函數(shù),,以熱電覆蓋率及生物質(zhì)利用率為系統(tǒng)評(píng)價(jià)指標(biāo),構(gòu)建了基于HOMER Pro仿真系統(tǒng)的農(nóng)村可再生能源熱電聯(lián)供模型,,通過仿真分析與容量?jī)?yōu)化獲得了新星村可再生能源系統(tǒng)的構(gòu)建方案,,即由功率674kW的光伏、功率200kW的風(fēng)力發(fā)電機(jī)和功率500kW的CHP熱電聯(lián)供機(jī)組及外部熱源構(gòu)成最佳系統(tǒng)框架,,此時(shí)最低系統(tǒng)成本與電價(jià)分別為2.30×107元/a和0.986元/(kW·h),。進(jìn)一步敏感性分析結(jié)果表明,電力負(fù)荷提高會(huì)導(dǎo)致系統(tǒng)成本及電價(jià)上升,,名義折現(xiàn)率提高會(huì)降低成本但導(dǎo)致電價(jià)上漲,,生物質(zhì)日輸入量對(duì)經(jīng)濟(jì)指標(biāo)無影響。減排評(píng)估結(jié)果表明,,相較于傳統(tǒng)供能方式,,系統(tǒng)年減排量達(dá)410.77t,相當(dāng)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(jīng)濟(jì)性與實(shí)用性良好,可為農(nóng)村地區(qū)能源轉(zhuǎn)型與低碳村鎮(zhèn)的建設(shè)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(dá),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(nóng)業(yè)機(jī)械學(xué)報(bào),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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