To mitigate carbon emissions, the government aims to transition to renewable energy sources including hydrothermal energy, specifically through wastewater heat recovery. This process involves extracting heat from wastewater or treated water. However, assessments of demand sources for local cooling and heating have predominantly focused on the proximity of nearby facilities, without conducting comprehensive demand analyses or defining explicit supply areas. This study proposes a methodology for prioritizing suitable wastewater treatment plants (WWTPs) for the implementation and expansion of renewable energy. The methodology is based on the gross floor area of potential wastewater heat demand surrounding WWTPs. Initially, potential supply and demand sources were identified based on the capacity of WWTPs and the gross floor area of buildings capable of utilizing wastewater heat. In the Republic of Korea, 330 WWTPs with a capacity of 5,000 m3/day or more have been recognized as demand sources for wastewater heat recovery. The provision of treated wastewater to structures located within a 500 m radius of the WWTPs for heat recovery is considered a feasible option. The potential wastewater heat demand and renewable energy cluster were identified among the surrounding buildings and complexes A total of 13 potential supplies were identified, provided that the gross floor exceeded 60,000 m². Finally, after prioritizing based on WWTPs with these conditions, the underground plant located in the downtown area was ranked as the highest priority. If further analysis of economic feasibility, CO2 reduction, and energy efficiency are conducted, this approach can be expanded and applied within the framework the Water-Energy Nexus. Wastewater heat can be utilized not only as a renewable energy source but also as a means to enhance wastewater reuse through the supply of treated wastewater.

이 연구에서는 현실적이고 유의미한 내진보강비용 산정하기 위해 실제 내진보강 사례를 기반으로 통계분석을 수행하여 건축물의 노후도와 연면적을 고려한 보다 현실적인 내진보강 비용을 추정하는 연구를 수행하였다. 데이터 베이스를 기반으로 노후도에 따라 연면적 대한 내진보강비용을 통계적으로 분석하여 이를 정규화하였고, 역으로 연 면적과 준공연도를 가지고 내진보강공사비용을 역추산할 수 있는 방법을 제안하였다.. 지속적인 내진보강 사업 사례의 빅데이터화가 이루어지면 정확성이 높은 내진보강 비용 산정이 실현될 것으로 판단된다.