Optimization of combined heat and power production with heat storage based on sliding time window method
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- 作者：Tingting Fang ; tingting.fang@aalto.fi" class="auth_mail" title="E-mail the corresponding author ; tingting.fang@yahoo.com" class="auth_mail" title="E-mail the corresponding author ; Risto Lahdelma risto.lahdelma@aalto.fi" class="auth_mail" title="E-mail the corresponding author
- 关键词：Combined heat and power ; Heat storage ; Optimization ; Heat demand forecast ; Sliding time window algorithm
- 刊名：Applied Energy
- 出版年：2016
- 出版时间：15 January 2016
- 年：2016
- 卷：162
- 期：Complete
- 页码：723-732
- 全文大小：1540 K
文摘
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New sliding time window method for optimizing CHP with storages.
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The method benefits both design and operation of CHP systems.
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Simulation of the benefit of the method in practice.
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Optimization can lead to significantly larger revenue from power sales.
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The method can be used to optimize the size of new heat storage.