arXiv subjects

Hong Yuan

Publications and source records attributed to Hong Yuan.

9 recordsLinked to original sources

arXiv2026

Synergetic capacity planning of private and public EV charging piles via city-scale multiobjective optimization

Rapid electric vehicle (EV) expansion necessitates optimized charging infrastructure to bridge the persistent gaps between vehicle growth and charger availability. This study develops a demand-driven framework for city-scale EV charging demand assessment and charging pile capacity planning. It employs a bottom-up estimation approach to quantify electricity demand and a Harris Hawks Optimization algorithm to solve capacity planning challenges, capturing spatiotemporal demand variations across powertrain types and guiding allocation over 2022-2030 in Chongqing, China. The results show that (1) compared with June 2022, monthly EV electricity consumption tripled to 57.5 gigawatt-hours by the end of 2024, characterized by significant seasonal volatility and a structural shift in which the combined share of plug-in hybrid electric vehicles and extended-range electric vehicles reached 57.6%, necessitating a transition toward technology-specific infrastructure planning; (2) historical evaluations reveal a marked spatial mismatch, with actual deployment heavily concentrated in the urban core while public charging capacity consistently lagging behind demand, whereas the proposed optimized configuration achieved a superior comprehensive performance score of 0.28, compared to 0.65 for actual deployment, in balancing service adequacy across the "Core-Suburban-Exurban" hierarchy; and (3) by 2030, Chongqing is projected to require approximately 1.8 million charging units to sustain a stable 9:1 private-to-public ratio, a synergetic strategy expects to significantly mitigate urban-rural service disparities and enhance overall system resilience and grid compatibility. Ultimately, this study provides a versatile, spatially explicit tool for policymakers to support sustainable and cost-effective EV infrastructure deployment aligned with long-term electrification targets.

physics.gen-ph↗

arXiv2025

City-level energy and emission assessment based on 20+ million electric vehicle registrations in China

China, the world's largest electric vehicle (EV) market, plays a pivotal role in global decarbonization of the transport sector. We present the first high-resolution assessment of EV adoption in 295 cities, utilizing more than 20 million registrations of 586 EV models tracked monthly from 2022 to 2024 and projecting transition pathways to 2035. Real-world data reveal that EVs are 30.9-212.8 megajoules per 100 km more energy efficient than internal combustion vehicles, yet their carbon intensities range from 18.2 to 270.4 gCO2/km among provinces. The limited electrification of hybrids means that gasoline still accounts for 44% of EV energy use. Scenario projections suggest that emissions will peak about 2030 at 21.1-30.9 megatonnes of CO2 and decline by 2035 under continued market transition. The findings establish an empirical foundation for accurate emissions accounting, emphasize the need to reduce regional disparities in adoptability, and offer globally relevant insights for road-transport decarbonization.

physics.soc-ph↗

arXiv2025

Planning future charging infrastructure for private EVs: A city-scale assessment of demand and capacity

This study proposes the first demand-driven, multi-objective planning model for optimizing city-scale capacity allocation of EV charging infrastructure. The model employs a bottom-up approach to estimate charging demand differentiated by vehicle type-battery electric vehicles (BEVs), extended-range electric vehicles (EREVs), and plug-in hybrid electric vehicles (PHEVs). Chongqing, a rapidly expanding EV industry cluster in China with a strong industrial base, supportive policies, and diverse urban morphologies, is selected as the case study. The results show that (1) monthly EV electricity consumption in Chongqing rose from 18.9 gigawatt-hours (GWh) in June 2022 to 57.5 GWh in December 2024, with associated carbon emissions increasing from 9.9 kilotons of carbon dioxide (ktCO2) to 30 ktCO2; (2) 181,622 additional charging piles were installed between 2022 and 2024, with the fastest growth observed in Yubei, reflecting a demand-responsive strategy that prioritizes areas with higher population density, higher income levels, and adequate land availability for pile deployment, rather than broad geographic coverage; and (3) between 2025 and 2030, EV electricity demand is projected to reach 1940 GWh, with the number of charging piles exceeding 1.4 million, and charging demand from EREVs and PHEVs expected to overtake BEVs later in the period. While Chongqing serves as the pilot area, the proposed planning platform is adaptable for application in cities worldwide, enabling cross-regional comparisons under diverse socio-economic, geographic, and policy conditions. Overall, this work offers policymakers a versatile tool to support sustainable, cost-effective EV infrastructure deployment aligned with low-carbon electrification targets in the transportation sector.

physics.soc-ph↗

arXiv2025

Assessing provincial carbon budgets for residential buildings to advance net-zero ambitions

Assessing provincial carbon budgets for residential building operations is a crucial strategy for advancing China's net-zero ambitions. This study develops an advanced assessment framework that integrates static and dynamic modeling to evaluate emission pathways and carbon budgets for residential buildings at the provincial level. The framework provides a practical tool for generating robust carbon budget estimates with limited data, thereby enhancing its applicability for policy-oriented planning. Findings show that (1) in the business-as-usual scenario, the emissions for urban and rural residential buildings are projected to peak at 990 (+-0.7) and 450 (+-0.2) mega-tons of carbon dioxide (MtCO2), respectively, with peak years occurring in 2031 (+-4.7) and 2026 (+-2.6). (2) In the decarbonization scenario, peak emissions decrease to 900 MtCO2 and 430 MtCO2 for urban and rural buildings, respectively. (3) The provinces with the highest emission reduction requirements are Henan (16.74 MtCO2), Xinjiang (12.59 MtCO2), Gansu (9.87 MtCO2), Hebei (8.46 MtCO2), and Guangdong (3.37 MtCO2), with Northwest China shouldering the greatest reduction responsibility, totaling 38.14 MtCO2. In conclusion, this study provides a dynamically optimized carbon budget assessment tool for residential buildings, offering valuable insights for government policy-making and playing a key role in facilitating the low-carbon transition of China's building sector during the pre-2030 planning period, ultimately contributing to the goal of achieving net-zero emissions in the building sector by mid-century.

physics.soc-ph↗

arXiv2024

The emergence of Newtonian mechanics from the inhomogeneity of an ensemble

To address the observation of Max Born (M. Born 1969) that the Newton's second law can emerge from a purely statistical perspective, we derive the evolution equation about the statistical distribution for dilute gas based solely on statistical principles, without invoking Newtonian mechanics, and then obtain the equations of motion for individual particles. Newton's second law for a single particle naturally emerges when the distribution reaches equilibrium. We demonstrate that the magnitude of an external force, traditionally measured by particle acceleration, can be understood as a measure of distribution inhomogeneity. We further show that the entropic force (utilized in current gravity studies) is equivalent to the statistical force and under non-equilibrium conditions, a deviation arises between the entropic force and the Newtonian force. This framework offers a novel perspective distinct from classical Newtonian mechanics and broadens the potential scope of its application.

cond-mat.stat-mech↗

arXiv2024

Quantum Analog of Vicsek Model for Active Matter

We propose a quantum model consisting of an ensemble of overdamped spin$-1/2$ particles with ferromagnetic couplings, driven by a radially homogeneous magnetic field. The spontaneous magnetization of the spin components breaks the $SO(3)$ (or $SO(2)$) symmetry, inducing an ordered phase of flocking. Our model converges to the Vicsek model in the classical limit and corresponds to the Toner-Tu model in the continuous limit. Our investigation not only elucidates the intrinsic connection between these two models, but also introduces new opportunities for exploring the mechanisms underlying flocking order and correlations at the quantum level, which maybe pave the way for a new field of research -- the quantum active matter.

quant-ph↗

arXiv2024

Experimental verification of the optimal fingerprint method in a Spin Resonance System: Implications for Complex Systems

The optimal fingerprint method (OFM) serves as a potent approach for detecting and attributing climate change. However, direct experimental validation remains challenging due to the system's inherent complexity. Here, we experimentally validate this method using a precisely controlled magnetic resonance system of spins, which serves as a minimal physical analog of forced noise response. Based on linear response theory (LRT), we derived the system's Green's function from spin projection noise measurements and successfully applied it to attribute the magnetic fields, yielding excellent agreement with predictions. Furthermore, our measurements confirm the existence of an optimal detection direction that maximizes the signal-to-noise ratio, a key theoretical prediction underlying the OFM. This work serves as a laboratory demonstration of LRT and OFM in detection and attribution (DA) studies, aiming to connect theoretical models with experimental observations. These findings may provide useful references for climate change science and its broader interdisciplinary applications. in ecosystems, finance, social sciences, quantum sensing, and beyond.

physics.ao-ph↗

arXiv2024

Bottom-up approach to assess carbon emissions of battery electric vehicle operations in China

The transportation sector is the third-largest global energy consumer and emitter, making it a focal point in the transition toward the net-zero future. To accelerate the decarbonization of passenger cars, this work is the first to propose a bottom-up charging demand model to estimate the operational electricity use and associated carbon emissions of best-selling battery electric vehicles (BEVs) in various climate zones in China during the 2020s. The findings reveal that (1) the operational energy demand of the top-20 selling BEV models in China, such as Tesla, Wuling Hongguang, and BYD, increased from 601 to 3054 giga-watt hours (GWh) during 2020-2022, with BEVs in South China contributing more than half of the total electricity demand; (2) from 2020 to 2022, the energy and carbon intensities of the best-selling models decreased from 1364 to 1095 kilowatt-hour per vehicle and from 797 to 621 kilograms of carbon dioxide (CO2) per vehicle, respectively, with North China experiencing the highest intensity decline compared to that in other regions; and (3) the operational energy demand of BEV stocks in China increased from 4774 to 12,048 GWh during 2020-2022, while the carbon emissions of BEV stocks rose to 6.8 mega-tons of CO2 in 2022, reflecting an annual growth rate of ~50%. In summary, this work delves into the examination and contrast of benchmark data on a nation-regional scale, as well as performance metrics related to BEV chargings. The primary aim is to support nationwide efforts in decarbonization, aiming for carbon mitigation and facilitating the swift evolution of passenger cars toward a carbon-neutral future.

econ.GN↗

arXiv2021

Optimizing Thermodynamic Cycles with Two Finite-Sized Reservoirs

We study the non-equilibrium thermodynamics of a heat engine operating between two finite-sized reservoirs with well-defined temperatures. Within the linear response regime, it is found that the uniform temperature of the two reservoirs at final time $τ$ is bounded from below by the entropy production $σ_{\mathrm{min}}\propto1/τ$. We discover a general power-efficiency trade-off depending on the ratio of heat capacities ($γ$) of the reservoirs for the engine. And a universal efficiency at maximum average power of the engine for arbitrary $γ$ is obtained. For practical purposes, the operation protocol of an ideal gas heat engine to achieve the optimal performance associated with $σ_{\mathrm{min}}$ is demonstrated. Our findings can be used to develop an general optimization scenario for thermodynamic cycles with finite-sized reservoirs in real-world circumstances.

cond-mat.stat-mech↗