Advances in New and Renewable Energy >
Constructing and Optimizing Distributed Photovoltaic in Sewage Treatment Plant
Received date: 2017-01-17
Revised date: 2017-03-06
Online published: 2017-04-28
In order to satisfy the sewage treatment plant power consumption during the day, a distributed photovoltaic power generation system was constructed in the sewage treatment plant, and the installed capacity was calculated by the established mathematical model. As the light intensity and ambient temperature change with time, four typical days were selected to calculate photovoltaic output, including spring typical day, summer typical day, autumn typical day and winter typical day. The generation capacity of a single photovoltaic cell was work out in each period of a day. Generating lager period was from 10 AM to14 PM in a day, comparing with sewage treatment plant power consumption in the corresponding to figure out the required number of photovoltaic cells. And evaluated rates for private use in typical days found that private use rates were 90% ~ 94% when cell numbers were 5175, 4912 and 4891. The photovoltaic power generation basically met the power consumption from 10 AM to 14 PM during spring and summer, mostly during fall and winter. Finally the best installed capacity of the distributed photovoltaic in sewage treatment plant was determined, the range was 1272 ~ 1346 kWp.
SUN Zhen-yu , SHEN Ming-zhong . Constructing and Optimizing Distributed Photovoltaic in Sewage Treatment Plant[J]. Advances in New and Renewable Energy, 2017 , 5(2) : 151 -156 . DOI: 10.3969/j.issn.2095-560X.2017.02.012
[1] 丁明, 王伟胜, 王秀丽, 等. 大规模光伏发电对电力系统影响综述[J]. 中国电机工程学报, 2014, 34(1): 1-14. DOI: 10.13334/j.0258-8013.pcsee.2014.01.001.
[2] KHATIB T, MOHAMED A, SOPIAN K, et al. A new approach for optimal sizing of standalone photovoltaic systems[J]. International journal of photoenergy, 2012, 2012: 391213. DOI: 10.1155/2012/391213.
[3] 艾英枝, 王样强, 李霸军, 等. 光伏电站不同统计时段计算的发电量对比分析[J]. 电网与清洁能源, 2012, 28(11): 85-89. DOI: 10.3969/j.issn.1674-3814.2012.11.019.
[4] 周磊, 刘翼, 雷涛, 等. 间歇性遮挡对光伏组件发电量影响的研究[J]. 现代电力, 2012, 29(1): 65-71. DOI: 10.3969/j.issn.1007-2322.2012.01.015.
[5] 张田, 黄伟, 陈虎, 等. 基于全时段模拟积分的光伏发电系统发电量计算[J]. 可再生能源, 2014, 32(8): 1092-1098.
[6] 张田. 光伏发电出力预测与并网分析[D]. 北京: 华北电力大学(北京), 2015.
[7] 赵波, 薛美东, 葛晓慧, 等. 光伏发电系统输出功率计算方法研究[J]. 电网与清洁能源, 2010, 26(7): 19-24. DOI: 10.3969/j.issn.1674-3814.2010.07.006.
[8] 苏建徽, 余世杰, 赵为, 等. 硅太阳电池工程用数学模型[J]. 太阳能学报, 2001, 22(4): 409-412. DOI: 10.3321/j.issn:0254-0096.2001.04.009.
[9] 刘东冉, 陈树勇, 马敏, 等. 光伏发电系统模型综述[J]. 电网技术, 2011, 35(8): 47-52.
[10] 黄伟, 张田, 韩湘荣, 等. 影响光伏发电的日照强度时间函数和气象因素[J]. 电网技术, 2014, 38(10): 2789-2793. DOI: 10.13335/j.1000-3673.pst.2014.10.027.
[11] 苏剑, 周莉梅, 李蕊. 分布式光伏发电并网的成本/效益分析[J]. 中国电机工程学报, 2013, 33(34): 50-56.
[12] MUNKHAMMAR J, GRAHN P, WIDÉN J. Quantifying self-consumption of on-site photovoltaic power generation in households with electric vehicle home charging[J]. Solar energy, 2013, 97: 208-216. DOI: 10.1016/j.solener.2013.08.015.
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