유종현 교수
Jong-Hyun Yoo
서울대학교 공기업정책학과 · 환경과학
연구실 소개
유종현 교수의 연구실은 기후변화 대비 정책 및 기술의 통합적 평가를 중심으로, 에너지 전환과 기후위기 대비 적응 전략을 동시에 고려한 정책 분석을 수행합니다. 특히 생물에너지의 온실가스 감축 효과, 해수면 상승과 폭풍 surge 가중치를 고려한 홍수 피해 예측, 국내 하천 및 해안지역의 홍수 위험 평가 및 방재 구조물의 경제성 분석 등 실증적이고 정책 연계성이 높은 연구를 진행하고 있습니다. 기후경제모델과 지리정보시스템(GIS), 원격탐사 기반의 공간 분석을 융합한 정밀한 정책 시뮬레이션 기반 연구가 특징입니다.
연구 현황
연구 성과 추이
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주요 논문
15Despite the numerous technical, logistical, and policy challenges associated with the use of bioenergy to mitigate climate change, the latest IPCC report identifies bioenergy as a high-value and large-scale mitigation option to support the transition to a cleaner energy system. This paper links a climate-economic-energy model and a land model to measure the net mitigation effect of using forest biomass for electricity generation and corresponding implications on global temperature. Through the s
This study examines whether the fluvial flood defense system of Korea is appropriate for risk reduction. Using spatial socioeconomic data and remote sensing, we estimated the potential economic damage that can be caused by the flooding of local streams and rivers along the Nakdong River (the longest river in Korea). For the analysis, a river risk map including return periods (50, 80, 100, and 200 years) and spatial inventories (residential, agricultural, industrial assets, and human lives) was e
Purpose This study aims to combine information about sea level rise (SLR), the probability distribution of storm surge, a flood damage function and the value of property by elevation along the coast of selected cities to measure expected flood damage. The selected six cities all have nearby long-term tidal stations that can be used to estimate the probability distribution of floods. The model is calibrated to each city. The study then compares the cost of building higher seawalls today along the
This paper develops a fine-scaled analysis in order to determine the cost and benefit of flood protection using hardened coastal structures within a large coastal segment. The probability distribution of surges and the relative rate of sea level rise are estimated from local tidal data and combined with detailed GIS data of all buildings to compute flood damage. Examining a heterogeneous suburban coastline of 110 km length (Branford, Connecticut), the paper defines a complete set of small segmen
Korea is one of the fastest-growing CO2-emitting countries but has recently experienced a dramatic slowdown in emissions. The objective of the study is to examine the driving factors of long-term increases (1990–2015) and their slowdown (2012–2015) in emissions of Korea. This study uses an extended index decomposition analysis model that better fits Korea’s emission trends of the last 25 years by encompassing 19 energy end-use sectors (18 economic sectors and a household sector) and three energy
A 3-year-old, spayed female Shih-tzu dog was presented due to acute vomiting, diarrhea, and generalized weakness. The dog had generalized weakness, increased respiratory rate, and respiratory muscle effort. Neurologic examination revealed appendicular muscular weakness and decreased in tone of the anal sphincter. Megaesophagus was confirmed by radiographic examinations. Other than type 2 fiber atrophy, no specific abnormalities were identified in histopathologic examinations of muscle biopsies f
It is commonly assumed that the temperature which optimizes global production and welfare is the global temperature in 1900. There is an empirical evidence, however, that suggests a slightly warmer, wetter, and CO 2 enriched planet which is more productive. This paper explores the sensitivity of mitigation and the Social Cost of Carbon (SCC) to different assumptions about the optimal global temperature using DICE 2016R. Each 1[Formula: see text]C increase in optimal global temperature lowers the
This paper characterizes the distribution of marginal climate damages across countries by combining global social cost of carbon (GSCC) and national social cost of carbon (NSCC) estimates within a unified probabilistic integrated assessment framework. Using the RICE50[Formula: see text] model, I estimate the GSCC and NSCC for 200 countries, incorporating uncertainty in socio-economic trajectories, climate sensitivity, damage functions, and discounting. The 2025 GSCC is $194/tCO 2 (5–95%: $135–$2
On the path to a zero-carbon city, reducing residential energy consumption - the largest contributor to city greenhouse gas emissions - is critical. This study examines the impacts of building characteristics and temperature on residential electricity and gas consumption in Seoul. This study utilized two large datasets: building-level energy consumption data and microclimate data from 1,100 sensors throughout Seoul to reflect perceived building temperatures. Results show that electricity use fol
The results of five Integrated Assessment Models are discussed in this concluding paper. All the scenarios measure the National Social Cost of Carbon (NSCC) across approximately 200 countries in a scenario with no mitigation. Despite assuming similar population and economic growth rates (RFF-SPs), the five models imply a wide range of forecasted climate impacts. Summing the mean NSCC estimates of all countries leads to a mean global Social Cost of Carbon (SCC) that varies from $33/tCO 2 to $1373
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