期刊
6TH INTERNATIONAL CONFERENCE ON SUSTAINABILITY IN ENERGY AND BUILDINGS
卷 62, 期 -, 页码 329-336出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.egypro.2014.12.394
关键词
Renewable heating/cooling; PhotoVoltaics; Heat Pumps; Optimization
Renewable heating and cooling systems are cited in the European policy as one of the major means for the decarbonisation of the energy sector. At the household level the main source of renewable energy is represented by solar energy. This energy can be collected and used in the electric or thermal form and more than often its efficient exploitation requires the use of storage facilities. Starting from the previous statements a household heating and cooling system can contain several components whose control and coordination is not easy to handle due to the load variations through the year and during the day, to the weather conditions etc. Simulation and optimization of the energy structure is very helpful in this task because it can provide a commitment of the power flows that ensures the minimal system operational cost together with the satisfaction of load requirements. An optimization procedure based on mixed integer linear programming has been developed and applied to evaluate several household configurations for a location in Northern Italy. Obtained results are compared and assessed in terms of economical saving in system running and of share of renewable energy. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
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