کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8077097 | 1521473 | 2014 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modelling decentralised heat supply: An application and methodological extension in TIMES
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Modelling decentralised heat supply: An application and methodological extension in TIMES Modelling decentralised heat supply: An application and methodological extension in TIMES](/preview/png/8077097.png)
چکیده انگلیسی
In optimisation models, the characteristic features of capacity investment and dispatch planning of supply technologies are well explored for electricity systems. Little attention to date has been paid to exploring these features in an adequate manner for heat systems. This paper discusses the implementation of decentralised residential heat supply in optimising energy system models and presents an application in TIMES, an energy system model with broad application. It is shown that standard TIMES does not allow for an appropriate implementation of residential heat systems. Consequently a two-part solution procedure is presented. A special integrated TIMES feature is explored and a tailor-made methodological extension of the TIMES standard code developed. Mixed integer programming is employed to accurately model the capacity planning of residential heat supply systems. Model results yielded by the new approach comply with the realistic capacity planning of heat supply systems in a shortened computation time. A case study for selected residential heat demand categories yields contrasting results for the mixed integer programme and the standard linear programme. The model's extension to cover larger, centralised combined heat and power plants and district heating networks remains for further work; the lower solution times encountered seem promising in this respect.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 73, 14 August 2014, Pages 592-605
Journal: Energy - Volume 73, 14 August 2014, Pages 592-605
نویسندگان
Erik Merkel, Daniel Fehrenbach, Russell McKenna, Wolf Fichtner,