Jinqing Peng
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Jinqing Peng has a total of 137 co-authors. Here are the top co-authors by number of shared publications:
- Hongxing Yang
The Hong Kong Polytechnic University
25 shared publications - Lin Lu
Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong, China
21 shared publications - Tao Ma
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
9 shared publications Nianping Li
College of Civil Engineering, Hunan University, Changsha, Hunan, China
7 shared publications- Nianping Li
College of Civil Engineering, Hunan University, Changsha 410081, China
7 shared publications Meng Wang
School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha, Hunan, China
6 shared publications
Latest Publications
- 28 July 2026
- Published by Springer Nature in Building Simulation
- Vol. 19 (9) , 2223-2244
Mismatch mechanisms and electrical performance of bifacial and monofacial photovoltaic modules under complex shading
- 28 July 2026
- Published by Springer Nature in Building Simulation
- Vol. 19 (9) , 2223-2244
Mismatch mechanisms and electrical performance of bifacial and monofacial photovoltaic modules under complex shading
- Open Access
- 1 January 2026
- Published by Innovation Press Co., Limited in The Innovation Energy
- Vol. 3 (3) , 100177-1-100177-3
Dynamic photovoltaic power tracking exploration: Efficient synergy of thermal storage air-conditioning and micro-battery energy storage
- 1 January 2026
- Published by Innovation Press Co., Limited in The Innovation Energy
- Vol. 3 (3) , 100177-1-100177-3
Open AccessDynamic photovoltaic power tracking exploration: Efficient synergy of thermal storage air-conditioning and micro-battery energy storage
- Open Access
- 10 December 2025
- Published by Springer Nature in Nature Communications
- Vol. 17 (1)
Scenario-adaptive hierarchical optimisation framework for design in hybrid energy storage systems
As renewable energy penetration increases, mismatches between generation and demand lead to underutilization of clean energy, particularly in industrial parks with overlapping of building and process loads. To enhance system flexibility and renewable utilization, hybrid energy storage systems integrating electrical, thermal, and cooling storage technologies offer a promising solution. However, a scalable and generalizable design framework for such systems remains lacking. Here, we propose a general and scenario-adaptive design framework for hybrid energy storage systems. The framework encompasses five core stages: demand analysis, energy storage selection, energy system modeling, optimization design, and performance evaluation. We develop a hierarchical optimization method to jointly optimize equipment configuration and operation scheduling through iterative feedback between the two layers, achieving better scalability and robustness than existing collaborative approaches. The proposed framework is systematically evaluated across industrial parks spanning different climate zones and energy demand levels. Results show that the proposed framework significantly enhances energy cost savings (43.7%) and reduces carbon emissions (69.9%). This work provides a practical and transferable pathway for deploying hybrid energy storage systems in carbon-intensive sectors, thereby facilitating the low-carbon transition of industrial sectors.
- 10 December 2025
- Published by Springer Nature in Nature Communications
- Vol. 17 (1)
Open AccessScenario-adaptive hierarchical optimisation framework for design in hybrid energy storage systems
As renewable energy penetration increases, mismatches between generation and demand lead to underutilization of clean energy, particularly in industrial parks with overlapping of building and process loads. To enhance system flexibility and renewable utilization, hybrid energy storage systems integrating electrical, thermal, and cooling storage technologies offer a promising solution. However, a scalable and generalizable design framework for such systems remains lacking. Here, we propose a general and scenario-adaptive design framework for hybrid energy storage systems. The framework encompasses five core stages: demand analysis, energy storage selection, energy system modeling, optimization design, and performance evaluation. We develop a hierarchical optimization method to jointly optimize equipment configuration and operation scheduling through iterative feedback between the two layers, achieving better scalability and robustness than existing collaborative approaches. The proposed framework is systematically evaluated across industrial parks spanning different climate zones and energy demand levels. Results show that the proposed framework significantly enhances energy cost savings (43.7%) and reduces carbon emissions (69.9%). This work provides a practical and transferable pathway for deploying hybrid energy storage systems in carbon-intensive sectors, thereby facilitating the low-carbon transition of industrial sectors.
- 23 May 2025
- Published by Springer Nature in Building Simulation
- Vol. 18 (6) , 1337-1354
Seasonal variation of the photovoltaic driven air conditioner with and without temperature range control
- 23 May 2025
- Published by Springer Nature in Building Simulation
- Vol. 18 (6) , 1337-1354
Seasonal variation of the photovoltaic driven air conditioner with and without temperature range control
- 24 August 2023
- Published by Springer Nature in Building Simulation
- Vol. 16 (11) , 2005-2025
Multi-objective optimal dispatch of household flexible loads based on their real-life operating characteristics and energy-related occupant behavior
- 24 August 2023
- Published by Springer Nature in Building Simulation
- Vol. 16 (11) , 2005-2025
Multi-objective optimal dispatch of household flexible loads based on their real-life operating characteristics and energy-related occupant behavior
- 8 May 2023
- Published by Springer Nature in Building Simulation
- Vol. 16 (12) , 2343-2361
Comfort assessment and energy performance analysis of a novel adjustable semi-transparent photovoltaic window under different rule-based controls
- 8 May 2023
- Published by Springer Nature in Building Simulation
- Vol. 16 (12) , 2343-2361
Comfort assessment and energy performance analysis of a novel adjustable semi-transparent photovoltaic window under different rule-based controls
- Open Access
- 29 May 2021
- Published by MDPI AG in Sustainability
- Vol. 13 (11) , 6139
Effects of Receiver Parameters on Solar Flux Distribution for Triangle Cavity Receiver in the Fixed Linear-Focus Fresnel Lens Solar Concentrator
The objective of the study is to investigate and optimize the solar flux uniformity of a fixed linear-focus Fresnel lens solar concentrator using a triangle cavity receiver. The effects of receiver parameters including the vertical distance from the cavity opening plane to the Fresnel lens f, receiver internal surface absorptivity αab, end reflection plane reflectivity ρr, solar declination angle δ and solar angle ω on the uniformity factor (UF) of a triangle cavity receiver were carried out. The effects of receiver parameters are evaluated with a significance test of critical factors. The results showed that the increase in f and δ would result in an increase in the UF. The average UF with f = 600, 625, 650, 675 and 700 mm, respectively, are 0.5030, 0.5858, 0.6337, 0.6576 and 0.6784 for ω in range of 0–60°. Moreover, the UF increases as αab decreases when other receiver parameters are constant for the δ of 0–8°. The ρr has a limited effect on the UF until δ becomes relatively larger and ω becomes relatively smaller. Furthermore, ω effects are most significant on the UF, followed by δ, f and αab. Setting a suitable f is the most economical and effective way to improve the UF.
- 29 May 2021
- Published by MDPI AG in Sustainability
- Vol. 13 (11) , 6139
Open AccessEffects of Receiver Parameters on Solar Flux Distribution for Triangle Cavity Receiver in the Fixed Linear-Focus Fresnel Lens Solar Concentrator
The objective of the study is to investigate and optimize the solar flux uniformity of a fixed linear-focus Fresnel lens solar concentrator using a triangle cavity receiver. The effects of receiver parameters including the vertical distance from the cavity opening plane to the Fresnel lens f, receiver internal surface absorptivity αab, end reflection plane reflectivity ρr, solar declination angle δ and solar angle ω on the uniformity factor (UF) of a triangle cavity receiver were carried out. The effects of receiver parameters are evaluated with a significance test of critical factors. The results showed that the increase in f and δ would result in an increase in the UF. The average UF with f = 600, 625, 650, 675 and 700 mm, respectively, are 0.5030, 0.5858, 0.6337, 0.6576 and 0.6784 for ω in range of 0–60°. Moreover, the UF increases as αab decreases when other receiver parameters are constant for the δ of 0–8°. The ρr has a limited effect on the UF until δ becomes relatively larger and ω becomes relatively smaller. Furthermore, ω effects are most significant on the UF, followed by δ, f and αab. Setting a suitable f is the most economical and effective way to improve the UF.
- 1 May 2021
- Published by Elsevier in Solar Energy
- Vol. 220, 1099-1108
Quantitative effects of PM concentrations on spectral distribution of global normal irradiance
- 1 May 2021
- Published by Elsevier in Solar Energy
- Vol. 220, 1099-1108
Quantitative effects of PM concentrations on spectral distribution of global normal irradiance
- 1 January 2021
- Published by Elsevier in Solar Energy
- Vol. 214, 443-456
Comparative study on the overall energy performance between photovoltaic and Low-E insulated glass units
- 1 January 2021
- Published by Elsevier in Solar Energy
- Vol. 214, 443-456
Comparative study on the overall energy performance between photovoltaic and Low-E insulated glass units
- Open Access
- 20 May 2020
- Published by Applied Energy Innovation Institute (AEii) in EnerarXiv
Optimal battery schedule for the photovoltaic-energy storage system based on a dynamic programming algorithm
- 20 May 2020
- Published by Applied Energy Innovation Institute (AEii) in EnerarXiv
Open AccessOptimal battery schedule for the photovoltaic-energy storage system based on a dynamic programming algorithm