Jianyi Lin

ORCID: 0000-0003-4201-8746
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About
Contact & Profiles
Research Areas
  • Environmental Impact and Sustainability
  • Vehicle emissions and performance
  • Urban Transport and Accessibility
  • Air Quality and Health Impacts
  • Water-Energy-Food Nexus Studies
  • Water Resources and Sustainability
  • Climate Change Policy and Economics
  • Land Use and Ecosystem Services
  • Agriculture Sustainability and Environmental Impact
  • Environmental Quality and Pollution
  • Energy, Environment, Economic Growth
  • Hydrological Forecasting Using AI
  • Integrated Energy Systems Optimization
  • Energy and Environment Impacts
  • Remote Sensing and Land Use
  • Hydrology and Watershed Management Studies
  • Energy, Environment, and Transportation Policies
  • Atmospheric chemistry and aerosols
  • Advanced Computational Techniques and Applications
  • Energy Load and Power Forecasting
  • Building Energy and Comfort Optimization
  • Smart Grid Energy Management
  • Urban Heat Island Mitigation
  • Environmental Changes in China
  • Flood Risk Assessment and Management

University of Chinese Academy of Sciences
2023-2024

Institute of Urban Environment
2015-2024

Chinese Academy of Sciences
2015-2024

Lawrence Berkeley National Laboratory
2016

Tongji University
2010

Nanyang Technological University
2009

Xiamen University
2009

Dalian University of Technology
2005-2007

Norsk Hydro (Germany)
2005

Abstract Accurate time- and site-specific forecasts of streamflow reservoir inflow are important in effective hydropower management scheduling. Traditionally, autoregressive moving-average (ARMA) models have been used modelling water resource time series as a standard representation stochastic series. Recently, artificial neural network (ANN) approaches proven to be efficient when applied hydrological prediction. In this paper, the support vector machine (SVM) is presented promising method...

10.1623/hysj.51.4.599 article EN Hydrological Sciences Journal 2006-07-06

Cities are hotspots of socio-economic activities and greenhouse gas emissions. The aim this study was to extend the research range urban carbon footprint (CF) cover emissions embodied in products traded among regions intra-city sectors. Using Xiamen City as a case, total urban-related were evaluated, flows sectors tracked. Then five CF accountings including purely geographic accounting (PGA), community-wide infrastructure (CIF), consumption-based (CBF) methods, well newly defined...

10.1088/1748-9326/10/5/054001 article EN cc-by Environmental Research Letters 2015-04-30

A global multiregional input-output (MRIO) model was built for eight Chinese cities to track their carbon flows. For in-depth understanding of urban footprint from the perspectives production, consumption, and trade balance, four kinds footprints redefined measurement indicators were calculated. From supply chain, inflows Mainland China larger than outflows, while outflows European, principal North American countries East Asia much inflows. With rapid urbanization China, Construction largest...

10.1021/acs.est.6b00985 article EN Environmental Science & Technology 2016-05-27

The building sector is one of the largest contributors to greenhouse gas emission in urban areas. Quantitative assessment carbon footprint buildings needed advance research and policy debates on reduction sustainable architectural planning. This study develops a calculation methodology for accounting by taking Xiamen as case study. Also, scenario analysis performed examining potential. It shown that increased from 8.95 million tons 2005 13.57 2009 Xiamen, with an average annual growth rate...

10.1016/j.proeng.2017.07.146 article EN Procedia Engineering 2017-01-01

10.1016/j.jes.2018.03.026 article EN Journal of Environmental Sciences 2018-03-29

In the context of increasing urbanization and climate change globally, urban energy systems (UES) planning needs adequate consideration change, particularly to ensure supply during extreme weather events (EWE) such as heatwaves, floods, typhoons. Here we propose a two-layer modeling framework for UES considering impact EWE. An application typical coastal city Xiamen, China reveals that deploying storage (i.e., pumped hydro battery) offers significant flexibility critical demand is met...

10.1016/j.adapen.2021.100053 article EN cc-by-nc-nd Advances in Applied Energy 2021-07-06

On the way toward Net Zero 2050, UK government set 2035 target by slashing 78 % emissions compared to 1990-level. To help understand how an electrified local energy system could contribute this and associated cost, we develop a whole-system based optimization (LEO) model. The model captures series of state-of-the-art technologies including building fabric retrofit, battery storage, electro-mobility, electro-heating, demand response, distributed renewable, Peer-to-Peer (P2P) trading. And...

10.1016/j.apenergy.2022.119921 article EN cc-by Applied Energy 2022-09-20
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