한양대학교 · Engineering
김진수 교수의 연구실은 에너지 시스템과 이동성의 환경·사회적 비용을 체계적으로 분석하며, 탄소중립과 지속가능성을 위한 기술·정책 혁신을 탐구합니다. 주요 연구는 전력 공급, 화학산업, 산업 효율화, 자연가스 가격 예측, 석탄 소비와 경제 성장의 관계 등 에너지 전환과 탄소배출 감축 핵심 과제를 다룹니다. 다학제적 접근을 통해 기술, 정책, 사회적 요소를 통합적으로 분석하는 데 초점을 맞추고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
What is the range and scope of externalities associated with electricity supply, energy efficiency, and transport? What research methods and techniques of valuation does the community use to monetize these externalities? What policy implications arise in terms of better governing energy and mobility systems? To answer these questions, this study offers a comprehensive and global research synthesis of externalities for energy and mobility. It synthesizes data from 139 studies with 704 distinct es
Chemicals, essential materials for modern life, emit substantial greenhouse gases during production and use. Like the other carbon-intensive industries, the chemical industry is a complex and diverse industry to mitigate greenhouse gas emissions. Decarbonizing the chemical industry is critical to overcoming the climate crisis and building a sustainable and vibrant future. We conducted a comprehensive and systematic review screening more than 5.6 million articles and thoroughly analyzing a shortl
Efficiency stands out as one of the most important options for achieving industrial decarbonization. In addition to carbon emissions reductions, improving energy, material and resource efficiency can bring many desirable benefits, such as cost savings, increased energy and resource security, and higher productivity. However, despite these clear benefits being understood for decades, the adoption of efficiency practices still lags far behind its potential, and commercial liftoff remains a challen
Following the unconventional gas revolution, the forecasting of natural gas prices has become increasingly important because the association of these prices with those of crude oil has weakened. With this as motivation, we propose some modified hybrid models in which various combinations of the wavelet approximation, detail components, autoregressive integrated moving average, generalized autoregressive conditional heteroskedasticity, and artificial neural network models are employed to predict
This paper examines the relationship between coal consumption and economic growth for 30 OECD (Organisation for Economic Co-operation and Development) countries and 32 non-OECD countries for 1990–2013 using a multivariate dependent panel analysis. For the analysis, we conducted the common factor defactorization process, unit root test, cointegration test, long-run cointegrating vector, and Granger causality test. Our results suggest the following: First, there is no long-run relationship between
As a consequence of globalization, increased international transport generates many pollutants. Pollution generation from other industries related to international transport also cannot be ignored. This paper thus aims to investigate the carbon emissions from international transport. We analyzed embodied carbon emissions of international transport using multi-region input output analysis, and identified the factors underlying changes in emissions using structural decomposition analysis. China wa
This study investigated the driving factors of embodied carbon emission changes in manufacturing trades through structural decomposition analysis. For empirical analysis, we developed an environmental multiregional input–output model for Korea, Japan, and China for 1995–2009. The three countries, which are economically and environmentally significant in Asia, are not only tightly linked economically through global value chains, but also close geographically, sharing various environmental issues.