Simulation-based optimization of sustainable national energy systems
| Autor: | Nikola Rajaković, Ilija Batas Bjelić |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Engineering
Operations research Total cost 020209 energy 02 engineering and technology 010501 environmental sciences 01 natural sciences 7. Clean energy Industrial and Manufacturing Engineering Energy policy Simulation-based optimization 0202 electrical engineering electronic engineering information engineering Sensitivity (control systems) Electrical and Electronic Engineering Simulation 0105 earth and related environmental sciences Civil and Structural Engineering business.industry Mechanical Engineering Policy mix Energy modeling Building and Construction Pollution Renewable energy General Energy business Efficient energy use |
| Zdroj: | Energy. 91:1087-1098 |
| ISSN: | 0360-5442 |
| DOI: | 10.1016/j.energy.2015.09.006 |
| Popis: | The goals of the EU2030 energy policy should be achieved cost-effectively by employing the optimal mix of supply and demand side technical measures, including energy efficiency, renewable energy and structural measures. In this paper, the achievement of these goals is modeled by introducing an innovative method of soft-linking of EnergyPLAN with the generic optimization program (GenOpt). This soft-link enables simulation-based optimization, guided with the chosen optimization algorithm, rather than manual adjustments of the decision vectors. In order to obtain EnergyPLAN simulations within the optimization loop of GenOpt, the decision vectors should be chosen and explained in GenOpt for scenarios created in EnergyPLAN. The result of the optimization loop is an optimal national energy master plan (as a case study, energy policy in Serbia was taken), followed with sensitivity analysis of the exogenous assumptions and with focus on the contribution of the smart electricity grid to the achievement of EU2030 goals. It is shown that the increase in the policy-induced total costs of less than 3% is not significant. This general method could be further improved and used worldwide in the optimal planning of sustainable national energy systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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