Guanghao Wang

Dr. Guanghao Wang

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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28 November 2024 in Journal of Cleaner Production
Verified
Journal Article
Open access
GWGuanghao Wang
Guanghao Wang
ESErwann Sbai
Erwann Sbai
le wenle wen
le wen
MSMingyue Selena Sheng
Mingyue Selena Sheng

11 January 2026 in International Journal of Disaster Risk Reduction
Verified
Journal Article
Open access
IJIresh Dhanushka Prabath Jayawardena
Iresh Dhanushka Prabath Jayawardena
SMSandeeka Mannakkara
Sandeeka Mannakkara
GWGuanghao Wang
Guanghao Wang
le wenle wen
le wen

19 January 2026 in Energy Policy
Verified
Journal Article
Open access
GWGuanghao Wang
Guanghao Wang
Hung Xuan DoHung Xuan Do
Hung Xuan Do
CLChenghao Liu
Chenghao Liu
ESErwann Sbai
Erwann Sbai
ESEmilson Silva
Emilson Silva


14 August 2026 in Energies
Verified
Journal Article
Open access
PDF file
ASAjith Viswanath Sreenivasan
Ajith Viswanath Sreenivasan
RMRamesh Chandra Majhi
Ramesh Chandra Majhi
Mingyue Selena ShengMingyue Selena Sheng
Mingyue Selena Sheng
le wenle wen
le wen
GWGuanghao Wang
Guanghao Wang
Prakash RanjitkarPrakash Ranjitkar
Prakash Ranjitkar
The transport sector contributes nearly 20% of New Zealand’s total greenhouse gas emissions, making it crucial for interventions to meet the 2050 net-zero target. Transitioning to electric vehicles (EVs) presents a sustainable solution but poses challenges in electricity distribution due to unpredictable EV charging behaviours. This research addresses these challenges by developing three mathematical models that optimise EV charging patterns, manage power flow along distribution lines and incorporate battery storage systems. Using the Tāmaki area as a case study, the models analyse total energy demand and optimal battery storage size, revealing that a 3.49 MWh battery system could mitigate the projected 2040 peak daily grid energy demand of 541.5 MWh and avoid costly power line upgrades. The study also introduces a vehicle-to-grid (V2G) integration model, showcasing its potential to reduce grid dependence and improve energy utilisation. The findings provide critical insights for Auckland’s electricity distribution companies, supporting strategic asset upgrades and offering evidence-based guidance for government policies on EV adoption. In summary, this research provides innovative solutions for optimising EV charging infrastructure, benefiting utility companies and policymakers by informing data-driven decisions. The comprehensive approach, which includes power flow, battery storage, and V2G technology, presents a scalable framework for international cities facing similar challenges, promoting global sustainable transport solutions towards achieving international climate targets and sustainable urban development.