Hui Hwang Goh

Prof. Dr. Hui Hwang Goh

School of Engineering, Taylor's University, Subang Jaya, Malaysia
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 April 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Tonni Agustiono KurniawanTonni Agustiono Kurniawan
Tonni Agustiono Kurniawan
MOMohd Hafiz Dzarfan Othman
Mohd Hafiz Dzarfan Othman
Hui Hwang GohHui Hwang Goh
Hui Hwang Goh
PGPetros Gikas
Petros Gikas

2 April 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
AMAleksandra Maiurova
Aleksandra Maiurova
Tonni Agustiono KurniawanTonni Agustiono Kurniawan
Tonni Agustiono Kurniawan
MKMarina Kustikova
Marina Kustikova
EBElena Bykovskaia
Elena Bykovskaia
MOMohd Hafiz Dzarfan Othman
Mohd Hafiz Dzarfan Othman
Hui Hwang GohHui Hwang Goh
Hui Hwang Goh

9 February 2023 in Journal of Environmental Management
Verified
Journal Article
Closed access
Tonni Agustiono KurniawanTonni Agustiono Kurniawan
Tonni Agustiono Kurniawan
MOMohd Hafiz Dzarfan Othman
Mohd Hafiz Dzarfan Othman
XLXue Liang
Xue Liang
Hui Hwang GohHui Hwang Goh
Hui Hwang Goh
PGPetros Gikas
Petros Gikas
KCKit Wayne Chew
Kit Wayne Chew

23 November 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Tonni Agustiono KurniawanTonni Agustiono Kurniawan
Tonni Agustiono Kurniawan
CMChristia Meidiana
Christia Meidiana
MOMohd Hafiz Dzarfan Othman
Mohd Hafiz Dzarfan Othman
Hui Hwang GohHui Hwang Goh
Hui Hwang Goh
KCKit Wayne Chew
Kit Wayne Chew

16 November 2021 in IEEE Transactions on Smart Grid
Verified
Journal Article
Closed access
Dongdong ZhangDongdong Zhang
Dongdong Zhang
HZHongyu Zhu
Hongyu Zhu
HZHongcai Zhang
Hongcai Zhang
Hui Hwang GohHui Hwang Goh
Hui Hwang Goh
HLHui Liu
Hui Liu
TWThomas Wu
Thomas Wu
The coordinated implementation of demand response technology and dynamic energy prices facilitates the interaction among multiple stakeholders in the smart integrated energy system. To achieve the optimal operation between different entities in the system, this paper proposes a multi-objective optimization model for smart integrated energy system considering demand responses and dynamic prices that reflects the preferences of multiple stakeholders. Based on the tightly coupled characteristics of a multi-energy system, a flexible two-dimensional demand response model with spatio-temporal coupling characteristics is established. By analyzing the characteristics of multi-entities joint pricing, the dynamic energy price formulated with the participation of both supplier and demander is optimized, and the dynamic price control strategy of different stakeholders under different benefit weights is obtained. A case study verifies the effectiveness of the proposed method. According to the interest preferences of different entities, different strategies and operating mechanisms can be derived, which is conducive to improving the economy and reliability of the operation of the smart integrated energy system and promoting the interaction between multiple entities.

18 February 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
Tonni Agustiono KurniawanTonni Agustiono Kurniawan
Tonni Agustiono Kurniawan
LXLiang Xue
Liang Xue
EOElizabeth O’callaghan
Elizabeth O’callaghan
Hui Hwang GohHui Hwang Goh
Hui Hwang Goh
Mohd Hafiz Dzarfan OthmanMohd Hafiz Dzarfan Othman
Mohd Hafiz Dzarfan Othman
TKTutuk Djoko Kusworo
Tutuk Djoko Kusworo
In China, environmental pollution due to municipal solid waste (MSW) over-generation is one of the country’s priority concerns. The increasing volume and complexity of the waste poses serious risks to the environment and public health. Currently, the annual growth of MSW generation is estimated to be approximately 8–10% and will increase to 323 million metric tons (Mt) by 2030. Based on the secondary data collected from a literature survey, this article critically evaluates the recent progress of MSW management (MSWM) in China and offers new insights into the waste sector in the era of Industry 4.0. This helps decision makers in China to plan a smooth transition nationwide to a circular economy (CE) in the waste sector. It is evident that digitalization is a driving force for China to move towards low-carbon development strategies within the framework of CE. Through digitalization, the waste sector has promoted prevention, reduction, reuse, and recycling (3Rs) of waste before waste disposal in landfills. A proper implementation of digitalization-based waste recycling has contributed to an efficient cooperation between the government and private sector, increased job opportunities, and promoted the conservation of resources. It is anticipated that this work not only contributes to the establishment of an integrated MSWM system in China, but also improves local MSWM through digitalization in the framework of a CE.