Multiobjective optimisation of integrated energy systems for remote communities considering economics and CO2 emissions

摘要: The methods for designing, planning and managing integrated energy systems, while holistically considering the major economic environmental factors, are still embryonic. However, first phase of design is often crucial if we want to manage resources better resource reduce consumption pollution. Considering systems implies dealing with complex in which synergy between various components best exploited (for example thermal a diesel engine produced during night complimented by Ranking Organic Cycle solar plant). context isolated communities further increases difficulties when long distance transport required supply fossil fuels. These sites located very precarious environments, limited or nonexistent except energy, frequent additional needs desalination (in arid zones). This paper illustrates holistic method rationalize systems. It based on superstructure (collection models all envisaged technologies) multi-objective optimisation (resources, demand, emission, cost) using an evolutionary algorithm. approach proposed allows identification more complete coherent configurations characterizing most promising designs (also taking into account time dependency aspects). also structure information view participative decision approach. study shows that implementation renewable (solar) even difficult, compared Diesel solutions, cases high load variations. New infrastructure retrofit considered.