1Postdoctoral Scholar, School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana – 506371
Associate Professor, Department of Computer Engineering, SVKM's Dwarkadas J Sanghvi College of Engineering, Mumbai - 400056
ORCID: 0000-0001-8335-4426
Email: nileshdeep@gmail.com
2Professor, School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana – 506371
ORCID: 0000-0001-5635-5642
Email: balajee.maram@sru.edu.in
This paper presents a comprehensive framework for the context of integrating urban digital twins with the high-performance computing (HPC) to model, analyse, as well as accelerate pathways to city-wide carbon neutrality. Urban abstract simulations consist of digital twins of cities integrating heterogenous streams of data, physical models, and machine learning surrogates to simulate the behaviour and conditions of cities both spatially and temporally. HPC provides computational envelope capable of executing detailed building energy modelling, transport systems modelling, renewable generation modelling and coupled atmosphere-urban microclimate modelling both at city scale and at a temporal scale suitable to do sound policy analysis. The modular digital twin system comprises a system of interaction between building energy simulation and urban mobility models and distributed energy resource (DER) models and an urban carbon scoring engine. Its structure experiences HPC in order to compute a great number of scenarios in order to measure uncertainty and apply multi-objective analysis with the aim of minimizing emissions, costs and resilience. To explain the approach, a case study of synthetic city is conducted, and sensitivity experiments of electrification, deep retrofit, distributed photovoltaics, storage, and demand response portfolios is carried. Results quantify trade-offs between decarbonization rate, cost of energy, and stressors resilience and show that HPC-based digital twin's communities can be used to discover near-Pareto-optimal trade-offs in the presence of epistemic and aleatory uncertainty. The last point is on the implementation problems, data handlings and research plans to operationalize the city digital twins as a decision support system to simplify into carbon neutral city.
Keywords: Digital twin; Urban decarbonization; Carbon neutrality; High-performance computing; City digital twin; Urban energy systems.
How to cite this article: Patil NM, Maram B. Digital Twins For Urban Mitigation: Modelling City-Wide Carbon Neutrality Scenarios Via High-Performance Computing (HPC). Int J Drug Deliv Technol. 2026;16(6s): 833-844; DOI: 10.25258/ijddt.16.6s.110
Source of support: None
Conflict of interest: None