Optimal Sizing, Scheduling and Building Structure Strategies for a Risk-averse Isolated Hybrid Energy System in Kish Island
Autor: | Reza Ghaffarpour |
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Rok vydání: | 2020 |
Předmět: |
Mathematical optimization
Optimization problem business.industry Computer science 020209 energy Mechanical Engineering 0211 other engineering and technologies Scheduling (production processes) 02 engineering and technology Building and Construction Energy storage Sizing Cost reduction Electricity generation 021105 building & construction 0202 electrical engineering electronic engineering information engineering Diesel generator Electrical and Electronic Engineering business Solar power Civil and Structural Engineering |
Zdroj: | Energy and Buildings. 219:110008 |
ISSN: | 0378-7788 |
Popis: | High costs of the conventional energy systems’ operation are one of the main challenges for isolated energy systems. Problems and costs of the fuel transferring to the islands for using in the diesel generator systems is another challenge for the operators. In this paper, a solar-based hybrid energy system (SHES) is proposed to satisfy the demands of an isolated industrial complex in Kish Island, an island in the south of Iran, in an optimal way. The proposed SHES contains various energy systems such as diesel generator, energy storage and rooftop solar power generation systems to provide demands of the isolated industrial complex's different users. This work tries to solve the optimization problem in a more optimal way by both energy saving arrangements and optimal sizing and operation of energy components. The load's consumption of the proposed isolated energy system is reduced optimally by using the construction operations related to the buildings’ walls and windows insulation. After that, the optimal sizing and operation of the energy components are applied to the isolated energy system to satisfy the reduced demands. In other words, insulating walls and windows, with a low investment cost, will reduce the amount of the proposed isolated energy system's load and the load reduction makes a more cost reduction in the investment cost of energy generation systems. An Information gap decision theory-based (IGDT-based) optimization method is applied to the proposed model to find a robust solution against load uncertainty for the proposed problem. Finally, the proposed method is implemented to a comprehensive test case to demonstrate the practicability and applicability of the proposed approach. |
Databáze: | OpenAIRE |
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