Optimisation studies on tri-generation: a review

• Published in: International journal of energy research Vol. 39; no. 10; pp. 1311 - 1334
• Main Authors: Ünal, Ali Nadi, Ercan, Seçil, Kayakutlu, Gülgün
• Format: Journal Article
• Language: English
• Published: Bognor Regis Blackwell Publishing Ltd 01.08.2015; Hindawi Limited
• Subjects: Air pollution; Clusters; Cooling; distributed multi-generation; Greenhouse effect; Heating; optimisation; Optimization; poly-generation; self-organising maps; Sizing; Taxonomy; tri-generation
• ISSN: 0363-907X; 1099-114X
• DOI: 10.1002/er.3342

Summary Electricity, heating and cooling usage at the same time constitute an important part of primary energy consumption. Currently, intense efforts are being devoted to the improvement and development of new technologies to promote energy savings and to mitigate the global warming. Among these technologies, tri‐generation and poly‐generation systems come into prominence due to their high efficiencies, as well as low operating costs and low greenhouse gas emissions. Nevertheless, modelling and sizing these systems is a large‐sized problem itself, and the higher the number of inputs, the higher the computational complexity. This paper aims to give a comprehensive review of the optimisation techniques used in tri‐generation and poly‐generation systems modelling and optimisation. After having reviewed more than a hundred papers, taxonomy is constructed. Self‐organising map is used to cluster the reviewed studies based on the optimisation techniques. Variations of the energy resources and the outputs of implemented systems are summarised. The crowd of clusters demonstrated the widely used optimisation techniques and the gaps in research. This study will certainly pioneer the optimisation studies in the field of tri‐generation/poly‐generation applications. Copyright © 2015 John Wiley & Sons, Ltd.