کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
301131 512497 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integrating renewable energy technologies to support building trigeneration – A multi-criteria analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Integrating renewable energy technologies to support building trigeneration – A multi-criteria analysis
چکیده انگلیسی

This paper evaluates the potential of hybridising renewable technologies to support trigeneration. A model for trigeneration has been developed for simulation and evaluation. The developed trigeneration system aims to be self-sustaining where cooling, heating and power needs of a commercial building are simultaneously fulfilled. The system comprises four key sub-systems, namely, photovoltaic-thermal, solar-thermal, fuel cell, microturbine and absorption chiller-water system. Conventionally, a trigeneration system is analysed based on cost reduction without considering the energy used and the level of carbon dioxide emission. In contrast, this paper presents an analysis of the system using a multi-criteria analysis approach in terms of: (1) operation cost reduction, (2) energy saving; and (3) minimum environmental impact. For the present trigeneration system layout, our result has indicated that a trigeneration system consisting of 80% of microturbine, 10% of photovoltaic-thermal and 10% fuel cell to be the optimum system composition in terms of reducing operational cost, improving energy saving and minimising environment impact. The methodology portrayed in this study provides a pragmatic approach in the design of renewable energy systems to support trigeneration applications.


► We develop a trigeneration model to support the cooling, heating and power needs.
► System includes photovoltaic, solar-thermal, fuel cell and microturbine.
► System configurations are analysed using a multi-criteria analysis approach.
► System of 80% microturbine, 10% photovoltaic and 10% fuel cell has lowest PFI.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 41, May 2012, Pages 358–367
نویسندگان
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