The optimum is not enough: A near-optimal solution paradigm for energy systems synthesis

摘要: Abstract An optimisation-based decision support methodology is presented for the synthesis of energy supply systems on conceptual level. Previous work in this field has tended to focus generation single optimal solution. However, given that mathematical models never perfectly represent real world and planners are often not aware all practical constraints, mathematically solution usually only approximates real-world optimum, thus limited significance. The approach therefore exploits near-optimal space more rational decisions. For purpose, integer-cut constraints employed systematically generate a set solutions alongside In place traditional analysis solution, we analyse generated identify common features (the “must-haves”) differences “real choices”) among good solutions, observed any “must-avoids”). This provides valuable insights into problem opens up wide range options. proposed concept applied three different problems at industrial, district, urban scale. test cases, many identified with equipment configurations but similar objective function values. Thus, ranking strictly based value productive. Instead, show supports process wider basis system options, which may be consulted upon reach