Abstract
Due to the heightened concerns of global environmental problems caused by the heavy use of fossil fuels, the sharp increase of energy use in the building sector has been recognized as an important environmental issue. One solution for efficient energy consumption in the building sector is building retrofits. This study proposes a two-stage integer programing model to select building retrofit materials and retrofit planning. The first model is based on a multi-objective optimization that derives an optimal retrofit strategy considering both energy savings and retrofit costs. Using the results of the first model, the second model finds an optimal retrofit plan to minimize losses for the building owner. Based on a real general hospital building in Korea, a simplified case building was used to verify the proposed models and for experimental analyses. According to the results of the second model, the building owner could adopt a building retrofit with less than 30–40% of the initial budget when compared to the total retrofit costs.
Highlights
Today, energy shortage problems are being highlighted as serious concern
The first model selects the optimal retrofit materials to be used for the building retrofit and the second one derives the optimal building retrofit planning for each floor and the retrofit materials
Our retrofit planning model assumed that the building owner could obtain profits from energy savings and reinvest the profit, which resulted in reducing the total retrofit cost
Summary
Energy shortage problems are being highlighted as serious concern. The imbalance in power supply and demand should be taken into consideration to prevent serious damage such as large power outages. A study to calculate the energy usage in buildings by reflecting the characteristics of insulation requires finding an optimal combination of building retrofit materials. We propose two models to derive the optimal retrofit materials and detailed retrofit planning. The first model is to optimally select building retrofit materials to improve the energy performance of the building. The proposed models can encourage building owners to adopt the building retrofit activity and solve the energy shortage problem.
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