A5041850684- Environmental Impact and Sustainability
- Integrated Energy Systems Optimization
- Extraction and Separation Processes
- Air Quality Monitoring and Forecasting
- Lignin and Wood Chemistry
- Photovoltaic Systems and Sustainability
- Social Acceptance of Renewable Energy
- Polymer composites and self-healing
- Recycling and Waste Management Techniques
- Power Systems and Renewable Energy
- Air Quality and Health Impacts
- Smart Grid Energy Management
- Wind Energy Research and Development
- Solar Radiation and Photovoltaics
- Surface Modification and Superhydrophobicity
- Microgrid Control and Optimization
- Energy, Environment, Economic Growth
University of Southern Denmark
2021-2024
Guangzhou Institute of Energy Conversion
2019-2021
Chinese Academy of Sciences
2019-2021
Suzhou University of Science and Technology
2020-2021
University of Science and Technology of China
2020-2021
Wuhan Engineering Science & Technology Institute
2020-2021
University of Chinese Academy of Sciences
2020
<title>Abstract</title> Spatial planning and development of wind energy is key to reducing fossil fuels dependency promoting green economic growth. However, site selection for farms complex involving multiple techno-economic, social, environmental perspectives. Here, we used a Geographic Information System-based Multi-Criteria Decision-Making approachto conduct the first nationwide onshore farm Brazil, one world’s top countries resources renewable energy. The approach involved 6 evaluation...
Abstract Guangzhou’s energy consumption accounts for 24.9% of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The improvement management system has a significant impact and exemplary role on GBA. Therefore, Guangzhou needs annual, quarterly monthly prediction requirements control establishment refined system. Meanwhile, due to lack historical data, it also short-term method with short cycle small sample. paper provided variety city level methods all districts predict in 2018.Then this...
Energy-related carbon emissions in districts and counties of Guangdong province from 2005 to 2016 are researched based on spatial econometrics method this article, significance cluster area heterogeneity precise pinpointed. Conclusions as follows: (1) total per capita exist global autocorrelation the year 2005-2016, formed high-high Guangzhou city, Shenzhen city Dongguan city. It also three low-low areas eastern, western northern province. Low-high high -low often appears scope area....
Abstract Based on the wind power development plan of Guangdong, accommodation capacity Guangdong grid is calculated with peak regulation constraints. The sensitivity and adjustability four parameters that affect were compared. Taking minimum life cycle annual cost as objective function, problem energy storage system configuration solved by enumeration method. results show that: there will be a surplus during valley load period constraints in 2030, difference from actual installed 17.29 GW;...