| 太阳能—热泵热水系统供热优化设计 |
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| 引用本文： | 蔡志端,王培良,毛建华.太阳能—热泵热水系统供热优化设计[J].科技通报,2011,27(5). |
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| 作者姓名： | 蔡志端 王培良 毛建华 |
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| 作者单位： | 湖州师范学院信息与工程学院,浙江湖州,313000 |
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| 摘 要： | 针对目前大型太阳能—热泵多热源热水系统实时连续供热性能不佳和达不到最大节能效果等问题,提出以谷电时段预蓄热为核心的系统供热策略。论文优化现有太阳能—热泵热水系统构架,以天气预报为基础,应用RBF神经网络技术制定谷电时段预蓄热策略中蓄热最高水温值、蓄热水量等关键参数,并以太阳能集热器水温、蓄水箱水温水位等参数为依据,完成系统各热源及相关运行机构的启停,实现制热、蓄热、供热的协调控制。该方法能提高目前大型太阳能—热泵多热源热水系统节能效果及实时连续供热能力,为大型太阳能热水系统的控制策略提供新思路。
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| 关 键 词： | 自动控制技术 太阳能 热泵 RBF 蓄热 |
Optimized Design of Heating of Solar-heat Pump Heating System |
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| CAI Zhiduan,WA NG Peiliang,MAO Jianhua.Optimized Design of Heating of Solar-heat Pump Heating System[J].Bulletin of Science and Technology,2011,27(5). |
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| Authors: | CAI Zhiduan WA NG Peiliang MAO Jianhua |
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| Institution: | CAI Zhiduan,WANG Peiliang~*,MAO Jianhua (School of information Engineering,Huzhou Teachers College,Huzhou 313000,China) |
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| Abstract: | The heating strategy of pre-heating storage in advance during the period of valley electric is proposed to solve the problem that the real-time continuous heating efficiency is not high and Energy efficiency is not well existing in solar-heat pump multi-heat-source heating system.The article optimize the architecture of the system in current and the RBF neural networks is applied to predict the highest temperature,the volume of water and other key parameters of preheating storage strategy based on weather f... |
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| Keywords: | automatic control technology solar energy heat pump RBF heating storage |
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