LAB NOTICE
- [SI: Waste Management, LCA-Waste]Advances in LCT methodologies and tools for sustainability assessment of municipal and challenging waste management
- Call for papershttps://www.sciencedirect.com/special-issue/328984/advances-in-lct-methodologies-and-tools-for-sustainability-assessment-of-municipal-and-challenging-waste-managementAdvances in LCT methodologies and tools for sustainability assessment of municipal and challenging waste managementSubmission deadline: 31 December 2026The special issue focuses on Life Cycle Thinking (LCT) tools and methodologies - Life Cycle Assessment (LCA), Life Cycle Costing (LCC), Social Life Cycle Assessment (S-LCA) - as well as Environmentally Extended Input-Output (EEIO) and combination of this with economic models - which allow comparison between alternative Waste and Circular Economy scenarios. Both methodological developments and case studies providing broadly applicable insights are within the scope of this Special Issue. Most current waste and resource management schemes still lack a holistic approach that can cover all the sustainability aspects of the whole chain. Moreover, most WM solutions could be integrated with other sectors in society, mainly those of energy, carbon capture, transport, materials, and chemicals production. In this framework, the management of challenging streams (like sanitary, chemical, and mineral waste) requires advanced tools, able to provide reliable (accurate and quantitative) life cycle sustainability assessment methods. Digital technologies (blockchain, IoT, bigdata and AI) could strongly support LCT tools. Additionally, environmental outcomes should ideally be accompanied by socio-economic indicators to understand the implications for industry competitiveness or stakeholder groups affected by the solutions. This Special Issue addresses the latest developments in the area, with a special attention to the new tools that can be integrated with a conventional life cycle approach, providing frontier knowledge on the topics. The Issue invites cutting-edge research, reviews, and case studies that address recent progress and future directions in sustainability assessment of waste management schemes and options. It would like to provide a platform for interdisciplinary collaboration aimed at unlocking the full potential of new tools and approaches for sustainability assessment of challenging WM. The main topics will be: 1) Advanced LCT tools for challenging waste management LCT tools and methodologies (LCA, LCC, S-LCA) for quantitative assessment of municipal and industrial waste management scenarios.LCT tools and methodologies for the management of specific challenging waste streams (e.g., sanitary waste; chemical waste; mineral waste).LCT tools and methodologies for specific waste technologies and their integration into connected systems (e.g., transport; biorefineries; carbon capture storage and utilization).Life Cycle Engineering and Sustainable Manufacturing.2) Digitalization for sustainability assessment of waste management Digital technologies for LCA: integrating blockchain, IoT, bigdata and AI into LCAs.Open-source tools and scripts for improved LCT for waste management3) New approaches and tools for sustainability assessment of WM Life Cycle Engineering and Sustainable Manufacturing.Application of quantitative tools to support (Waste and Circular Economy) policy impact assessment.Combined use of Environmentally Extended Input-Output (IO), LCA, and/or economic models for assessment of waste & Circular Economy.Integration of Planetary Boundaries with LCA (Absolute Environmental Sustainability Assessment).Prospective LCM tools and methodologies for emerging technologies for WM and resource optimization.Guest editors: Filomena ArdolinoUniversity of Campania “Luigi Vanvitelli”, Caserta, Italy Lidia LombardiUniversità Cusano, Rome, Italy Lucia RigamontiPolitecnico di Milano, Milan, Italy Manuscript submission information: Please refer to the Guide for authors to prepare your manuscript. When submitting your manuscript please select the article type “VSI: LCT tools for WM”. Please, submit the manuscript in the form of full-length article, short communication, or literature review. All manuscripts for this special issue will be subject to standard rules for peer-reviewed papers, with reviews provided by at least two international experts. The journal’s submission platform (Editorial Manager®) will be available to receive submissions for this special issue from 02 February 2026 and the deadline for paper submission is 31 December 2026. For any inquiries about the appropriateness of contribution topics, please contact the Executive Guest Editor Filomena Ardolino via filomena.ardolino@unicampania.it. Keywords: LCA OR LCC OR S-LCAANDAbsolute Environmental Sustainability OR Extended Input-Output OR Open-source tools
2026-02-16
- [김상윤/정찬혁 학생, CEJ (JCR5%) ] (리뷰논문) A comprehensive review of membrane-based pressure-driven processes and selective chemical precipitation
- 김상윤 정찬혁 학생 논문이 Chemical Engineering Journal (SCI, ISSN:1385-8947, JCR TOP 5%) 저널에 게재 되었습니다 ( 주저자: 학과 전병문 교수님, 이화여자 윤여민 교수님)Byung-Moon Jun, SangYoun Kim, Inho Choi, Su-Ho Ahn, ChanHyeok Jeong, Seung Hwan Kim, Hojung Rho, ChangKyoo Yoo, Yeomin Yoon*, Recent advances in rare earth elements recovery: A comprehensive review of membrane-based pressure-driven processes and selective chemical precipitation, Chemical Engineering Journal (SCI, ISSN:1385-8947, JCR TOP 5%), 531(3), pp. 173905 (2026.03)
2026-02-10
- [축:김상윤 박사과정,우수논문상,상하수도학회] 반도체폐수처리장 SBR 자율운전(offline RL 강화학습)
- Hi all,I'm happy to inform you that SangYoun was nominated as best oral presentation award at Korea Society of Water and WasteWater (대한상하수도협회). Congratulations SY. 연구실 김상윤 박사과정이 상하수도학회에서 "디퓨전-오프라인 강화학습 기반 반도체 폐수 처리 특화 SBR 자율 운전 연구(offline RL)"로 반도체 폐수 DT모델과 강화학습 제어 주제로 좋은 연구결과를 발표해서 우수논문상을 받았습니다. 김상윤 박사 과정 우수논문상 수상 축하합니다, 학술대회 우수구두발표상, 김상윤, 정찬혁,
우태용,
송희주,
전나영,
허성구*,
유창규*, 디퓨전-오프라인 강화학습 기반 반도체 폐수 처리 특화 연속 회분식 반응조 자율 운전 연구,
대한상하수도학회
한국물환경학회
2025년 공동학술발표회 프로그램집, 구두 발표,
일산 킨텍스,
pp. 20 (2025.03.20)---------- Forwarded message ---------Date: 2026년 2월 9일 (월) PM 2:44Subject: (참석여부 회신요망)대한상하수도학회 포상 결과 안내(시상식 일정 안내)안녕하세요.대한상하수도학회 사무국입니다.본 학회 포상규정에 의거하여, 포상심의(’26. 2. 6. 이사회) 결과를 아래와 같이 안내드립니다.수상을 진심으로 축하드립니다.시상식은 대한상하수도학회 정기총회에서 진행될 예정입니다.1. 시상식 일정◇ 일시: 2026년 3월 19일(목), 15:20-15:50◇ 장소: 부산 벡스코 컨벤션홀 2층, 202호 2. 수상자 명단<구두발표 수상자>김상윤(경희대학교)
2026-02-09
PUBLICATIONS
- Sustainable energies and machine learning: an organized review of recent applications and challenges
- Pouya Ifaei, Morteza Nazari-Heris, Amir Saman Tayerani Charmchi, Somayeh Asadi, ChangKyoo Yoo*, Sustainable energies and machine learning: an organized review of recent applications and challenges, Energy (ISSN: 0360-5442, SCI, Top 5% journal – THERMODYNAMICS), 266(1), pp.126432 (2023.3) (Ack 3개: Brain Pool Program2019H1D3A1A02071051 & NRF중견2021R1A2C2007838 & Collabo R&D of SMEs and Startups in 2022.(Project No. S3301144)
- Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach
- Shahzeb Tariq+, Jorge Loy-Benitez+, KiJeon Nam, SangYoun Kim, MinJeong Kim*, ChangKyoo Yoo*, Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach, Tunnelling and underground space (ISSN: 0886-7798, SCIE, JCR Top 10%-ENGINEERING, CIVIL, DOI), Elsevier, 131(1), pp.104843 (Ack: 2021R1A2C2007838 & Fine Dust Reduction Technology(21QPPW-B152306-03)
- Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving
- Abdulrahman H. Ba-Alawi, KiJeon Nam, SungKu Heo, TaeYong Woo, Hanaa Aamer, and Chang Kyoo Yoo*, Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving, Chemical Engineering Journal (IF>16.4, JCR TOP 3% journal/Top 1 journal-Chemical Engineering), 452(1), pp.139220 (2023.1) (Ack 3개:NRF2021R1A2C2007838, “Prospective green technology innovation project (2020003160009), SMEs and Startups in 2022 (Project No. S3301144)
