| 1. |
- Feng, D., et al.
(författare)
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Carbon Emission Prediction and the Reduction Pathway in Industrial Parks : A Scenario Analysis Based on the Integration of the LEAP Model with LMDI Decomposition
- 2023
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Ingår i: Energies. - : Multidisciplinary Digital Publishing Institute (MDPI). - 1996-1073. ; 16:21
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Tidskriftsartikel (refereegranskat)abstract
- Global climate change imposes significant challenges on the ecological environment and human sustainability. Industrial parks, in line with the national climate change mitigation strategy, are key targets for low-carbon revolution within the industrial sector. To predict the carbon emission of industrial parks and formulate the strategic path of emission reduction, this paper amalgamates the benefits of the “top-down” and “bottom-up” prediction methodologies, incorporating the logarithmic mean divisia index (LMDI) decomposition method and long-range energy alternatives planning (LEAP) model, and integrates the Tapio decoupling theory to predict the carbon emissions of an industrial park cluster of an economic development zone in Yancheng from 2020 to 2035 under baseline (BAS) and low-carbon scenarios (LC1, LC2, and LC3). The findings suggest that, in comparison to the BAS scenario, the carbon emissions in the LC1, LC2, and LC3 scenarios decreased by 30.4%, 38.4%, and 46.2%, respectively, with LC3 being the most suitable pathway for the park’s development. Finally, the paper explores carbon emission sources, and analyzes emission reduction potential and optimization measures of the energy structure, thus providing a reference for the formulation of emission reduction strategies for industrial parks.
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| 2. |
- Bao, Z., et al.
(författare)
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An optimal charging scheduling model and algorithm for electric buses
- 2023
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Ingår i: Applied Energy. - : Elsevier Ltd. - 0306-2619 .- 1872-9118. ; 332
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Tidskriftsartikel (refereegranskat)abstract
- Electrification poses a promising low-carbon or even zero-carbon transportation solution, serving as a strategic approach to reducing carbon emissions and promoting carbon neutrality in the transportation sector. Along the transportation electrification pathway, the goal of carbon neutrality can be further accelerated with an increasing amount of electricity being generated from renewable energies. The past decade observed the rapid development of battery technologies and deployment of electricity infrastructure worldwide, fostering transportation electrification to expand from railways to light and then heavy vehicles on roadways. In China, a massive number of electric buses have been employed and operated in dozens of metropolises. An important daily operations issue with these urban electric buses is how to coordinate their charging activities in a cost-effective manner, considering various physical, financial, institutional, and managerial constraints. This paper addresses a general charging scheduling problem for an electric bus fleet operated across multiple bus lines and charging depots and terminals, aiming at finding an optimal set of charging location and time decisions given the available charging windows. The charging windows for each bus are predetermined in terms of its layovers at depots and terminals and each of them is discretized into a number of charging slots with the same time duration. A mixed linear integer programming model with binary charging slot choice and continuous state-of-charge (SOC) variables is constructed for minimizing the total charging cost of the bus fleet subject to individual electricity consumption rates, electricity charging rates, time-based charging windows, battery SOC bounds, time-of-use (TOU) charging tariffs, and station-specific electricity load capacities. A Lagrangian relaxation framework is employed to decouple the joint charging schedule of a bus fleet into a number of independent single-bus charging schedules, which can be efficiently addressed by a bi-criterion dynamic programming algorithm. A real-world regional electric bus fleet of 122 buses in Shanghai, China is selected for validating the effectiveness and practicability of the proposed charging scheduling model and algorithm. The optimization results numerically reveal the impacts of TOU tariffs, station load capacities, charging infrastructure configurations, and battery capacities on the bus system performance as well as individual recharging behaviors, and justify the superior solution efficiency of our algorithm against a state-of-the-art commercial solver.
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| 3. |
- Feng, J. -C, et al.
(författare)
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Case study of an industrial park toward zero carbon emission
- 2018
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Ingår i: Applied Energy. - : Elsevier. - 0306-2619 .- 1872-9118. ; 209, s. 65-78
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Tidskriftsartikel (refereegranskat)abstract
- Industrial park shoulders heavy responsibilities for economic development, and in the meantime, acts the role as energy consumer and carbon emitter. Under the background of holding the average global temperature increase limited in 2 °C compared to the pre-industrial level, which was proposed in the Paris Agreement, the development of zero carbon emission at the industrial park level is of great importance. This study investigated how to realize zero carbon emission at an industrial park level. In addition, a practical case study of the Southern China Traditional Chinese Medicine Industrial Park located in the Zhongshan City, Guangdong Province of China was conducted. Scenario analyses were projected to realize zero carbon emission in this industrial park and the results show that zero carbon emission can be realized under all the three scenarios. Economic assessments found that purchasing carbon offsets get the minimum cost effectiveness under current market situation. However, purchasing carbon offset may not be the best choice from the aspect of absolute reduction. Sensitivity analyses illustrate that the cost effectiveness of carbon reduction is remarkably influenced by the carbon price and solar energy cost reduction ratio. Meanwhile, applying large-scale renewable energy and producing more carbon offset can harvest more economic and carbon reduction benefits when the current solar energy cost has been reduced by 90%. Moreover, challenges of building zero-carbon industrial park as well as the corresponding solution schemes were discussed.
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| 4. |
- Gao, Y., et al.
(författare)
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Cooling pitch cabinets in wind turbines using a pulsating heat pipe : A case study
- 2023
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Ingår i: Case Studies in Thermal Engineering. - : Elsevier Ltd. - 2214-157X. ; 50
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Tidskriftsartikel (refereegranskat)abstract
- As the electric capacity of wind turbine increases, heat dissipation in pitch cabinets becomes challenging owing to the limited space and rotating conditions. To cool down the pitch cabinet more effectively and allow heat dissipation, we designed and implemented a pulsating heat pipe (PHP) in this study. We designed PHP parameters and conducted performance tests to compare the cooling performance of the fabricated PHP with that of an air-based cooling system in a 1.5 MW wind turbine. The results demonstrated steady PHP operation under rotating conditions (17.3 rpm). At a heat load of 1000 W, the evaporator outlet temperature was only 76.1 °C. However, increasing the ambient temperature adversely affected PHP operation, resulting in higher temperature and thermal resistance. The heat-pipe-based cooling system lowered the insulated gate bipolar transistor (IGBT) temperature by about 20.4 °C in relation to the air-based cooling system, while being suitable under varied conditions. Additionally, the system could successfully operate when the heat load of IGBT was 2350 W, corresponding to a 7 MW electric capacity of the wind turbine. Reducing the manufacturing cost of the heat pipe would further enhance the applicability of this system for pitch cabinet IGBT cooling, such as decreasing payback period.
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| 5. |
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| 6. |
- Xu, J., et al.
(författare)
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Energy-water nexus analysis of wastewater treatment plants (WWTPs) in China based on statistical methodologies
- 2018
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Ingår i: CLEANER ENERGY FOR CLEANER CITIES. - : Elsevier. ; , s. 259-264, s. 259-264
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Konferensbidrag (refereegranskat)abstract
- Wastewater treatment plants (WWTPs) are considered as energy-intensive facilities. Against the background of stricter policy requirements and discharge standard, thousands of municipal WWTPs are experiencing upgrading and reconstruction in China. However, the accompanying energy consumption cannot be ignored. Based on the statistical analysis of energy consumption and relevant factors from data of more than six thousand WWTPs over China, in this paper we analyzed the most influential factors related to energy consumption, which include treatment technology, wastewater amount, removed pollutants, social and economic characteristics, etc. Furthermore, we set up systematic method of energy performance assessment for WWTPs and explored the potential of energy saving in WWTPs. Results showed that processing capacity, organic pollutant concentration, discharge standard and economic factors have major effects on energy efficiency. Although sludge treatment and disposal normally consume intensive energy, it is possible to recover energy from biomass in the sludge. The results indicate that there is huge potential for energy saving and recovery in WWTPs, and we propose a conceptual roadmap for energy efficiency improving in WWTPs in China.
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| 7. |
- Yan, Jinyue, et al.
(författare)
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CO2 capture using absorbents of mixed ionic and amine solutions
- 2014
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Ingår i: Energy Procedia. - : Elsevier BV. - 1876-6102. ; , s. 2849-2853
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Konferensbidrag (refereegranskat)abstract
- Studies have been conducted to find new absorbents for post-combustion CO2 capture. To overcome the ILs' limits and meanwhile take their advantages, the mixed amine + IL + H2O solutions as CO2 capture absorbent were investigated in a CO2 absorption/desorption loop setup. It was found that with an increase in IL concentration, the viscosity of the mixed solution rose while the energy required for absorbent regeneration decreased. In addition, no IL loss was detected and the amine loss per ton of captured CO2 was considerably lower than that of aqueous amine solution. The viscosity of the best candidate of 30 wt% MEA + 40 wt% [bmim][BF4] + 30 wt% H2O is close to the value of aqueous amine solution, indicating that the ionic liquid disadvantage of high viscosity can be overcome for absorbent delivery of CO2 capture.
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| 8. |
- Zhang, Tingshen, et al.
(författare)
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Vibration energy harvesting system based on track energy-recycling technology for heavy-duty freight railroads
- 2022
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Ingår i: Applied Energy. - : Elsevier Ltd. - 0306-2619 .- 1872-9118. ; 323
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Tidskriftsartikel (refereegranskat)abstract
- To ensure the efficient and safe operation of train transportation systems, the track vibration resulting from train movement can be utilized to power the sensors for intelligent applications. This paper presents a vibration energy harvesting system based on track energy-recycling technology for heavy-duty freight railroads. The energy-recycling system includes a vibration conversion module, a generator module and a power storage module. The irregular vertical vibrations produced by contact between the wheel and railroad are considered. The vibration conversion module converts the reciprocating vertical displacement into a one-way rotation through a scissor linkage and slider mechanism. A three-phase generator is coupled with an energy conversion module shaft and generates a three-phase direct current. Then, after rectification and filtering, the electricity is stored in the supercapacitors. Theoretical analysis, dynamic model analysis and mechanical simulation verify the dynamic response of the system under input excitation. Furthermore, mechanical testing and sensing (MTS) machine tests yield a 73.38% maximum mechanical efficiency with a 7.44 W peak power. Moreover, the charging tests of the proposed system with a supercapacitor indicate that the proposed system is suitable for self-powered sensors in railroads.
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