The Research and Postgraduate Centre congratulates Martin Wan Jianyuan, Phuang Zhen Xin, Hoy Zheng Xuan, and Assoc. Prof. Ts. Dr. Vincent Woon Kok Sin from Department of New Energy Science and Engineering, School of Energy and Chemical Engineering for their recent research article published in the Science of the Total Environment, an SCI Q1 journal with the latest impact factor of 9.8.
This is a collaborative research with Universiti Teknologi MARA. Martin Wan Jianyuan and Phuang Zhen Xin contributed equally to this research as the first author.
The paper “Forecasting meteorological impacts on the environmental sustainability of a large-scale solar plant via artificial intelligence-based life cycle assessment” proposes a novel integrated Life Cycle Assessment (LCA) and Artificial Neural Network (ANN) framework to forecast the meteorological impacts on large-scale solar’s electricity generation and its life cycle environmental sustainability. The integrated LCA-ANN framework can evaluate the environmental sustainability of large-scale solar under different meteorological situations, thereby providing data-backed insights and management decisions to large-scale solar stakeholders to drive global RE growth in line with SDG 7 (to ensure access to sustainable energy) and SDG 13 (to take immediate action to combat climate change issue)
This research is supported by the Ministry of Higher Education Malaysia through the Fundamental Research Grant Scheme (FRGS/1/2020/TK0/XMU/02/2) and Xiamen University Malaysia Research Fund (XMUMRF/2019-C4/IENG/0022 and XMUMRF/2023-C11/IENG/0057).
The article can be accessed at https://doi.org/10.1016/j.scitotenv.2023.168779
The integration of LCA and ANN via a combinatory approach to assess the environmental and energy performance of large-scale solar considering meteorological uncertainties
