| 1. |
- Chen, S., et al.
(författare)
-
Advanced approaches and applications of energy footprints toward the promotion of global sustainability
- 2020
-
Ingår i: Applied Energy. - : Elsevier Ltd. - 0306-2619 .- 1872-9118. ; 261
-
Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Ever-increasing energy demands pose huge environmental challenges globally. The strategies and methods that are chosen to address the energy crisis will, in part, determine the possibility of fulfilling the 1.5-degree global warming target set by the Paris Agreement, and of achieving the United Nations Sustainable Developmental Goals, two vital and ambitious objectives for humans in the coming decades. While numerous inventory and modelling approaches have been developed to evaluate direct and indirect energy requirements at multiple scales from industries to cities and to the global economy, a discussion on their implications for environmental sustainability is long overdue. In this study, we provide an overview of the research paradigm and the important approaches that have been developed to address energy sustainability and review the papers included in this Special Issue, which are representative of some of the major advancements in energy, carbon, and other hybrid footprint approaches. This Special Issue aims to gather and harmonize state-of-the-art energy accounting frameworks, models, and metrics that benefit the promotion of global sustainability.
|
|
| 2. |
- Enshaei, N., et al.
(författare)
-
ICPHM'23 Benchmark Vibration Dataset Applicable in Machine Learning for Systems' Health Monitoring
- 2024
-
Ingår i: 2024 IEEE International Conference on Prognostics and Health Management, ICPHM 2024. - : Institute of Electrical and Electronics Engineers Inc.. - 9798350374476 ; , s. 1-8
-
Konferensbidrag (refereegranskat)abstract
- Vibration signal analysis is an effective tool for fault diagnosis in industrial/manufacturing machinery. Gearboxes are a fundamental component of many industrial machines, and their failure can cause significant downtime, production losses, and safety hazards. Analyzing vibration signals makes it possible to detect, classify, and diagnose faults in gearboxes, enabling timely maintenance and preventing catastrophic failures. Vibration signals are sensitive to changes in the operating conditions and internal components of gearboxes, making them a reliable indicator of potential faults. This paper introduces a new vibration signal data set, referred to as VibraFault, which has been the focus of the ICPHM23 data challenge. The dataset contains vibration signals acquired from a test rig consisting of a driving motor, a two-stage planetary gearbox, a two-stage parallel gearbox, and a magnetic brake. The experiments include various operating conditions and focus on common sun gear faults on the planetary gearbox, such as surface wear, chipped, crack, and tooth-missing. For each operating condition, normal and fault vibration signals have been recorded at a sampling frequency of 10 kHz. Vibration signals have been collected in three directions to facilitate more comprehensive research studies on mapping between different types of faults and the system's vibration response. The dataset has the potential to promote research in fault diagnosis, particularly in the development of advanced solutions based on Machine Learning (ML) and Deep Neural Networks (DNN).
|
|
| 3. |
- Liu, Z., et al.
(författare)
-
Targeted opportunities to address the climate-trade dilemma in China
- 2016
-
Ingår i: Nature Climate Change. - : Springer Science and Business Media LLC. - 1758-678X .- 1758-6798. ; 6:2, s. 201-206
-
Tidskriftsartikel (refereegranskat)abstract
- International trade has become the fastest growing driver of global carbon emissions, with large quantities of emissions embodied in exports from emerging economies. International trade with emerging economies poses a dilemma for climate and trade policy: to the extent emerging markets have comparative advantages in manufacturing, such trade is economically efficient and desirable. However, if carbon-intensive manufacturing in emerging countries such as China entails drastically more CO 2 emissions than making the same product elsewhere, then trade increases global CO 2 emissions. Here we show that the emissions embodied in Chinese exports, which are larger than the annual emissions of Japan or Germany, are primarily the result of China's coal-based energy mix and the very high emissions intensity (emission per unit of economic value) in a few provinces and industry sectors. Exports from these provinces and sectors therefore represent targeted opportunities to address the climate-trade dilemma by either improving production technologies and decarbonizing the underlying energy systems or else reducing trade volumes.
|
|
| 4. |
- Shao, S., et al.
(författare)
-
Enlarging Regional Disparities in Energy Intensity within China
- 2020
-
Ingår i: Earth's Future. - : John Wiley and Sons Inc. - 2328-4277. ; 8:8
-
Tidskriftsartikel (refereegranskat)abstract
- As energy saving and emission reduction become a global action, the disparity in energy intensity between different regions is a new rising problem that stems a country's or region's energy-saving potential. Here we collect China's provincial panel data (1995–2017) of primary and final energy consumption to evaluate China's unequal and polarized regional pattern in energy intensity, decompose the inequality index into contributing components, and investigate possible driving factors behind the unequal pattern both regionally and structurally, for the first time. The results show that China's interprovince disparities in energy intensity increase and are exacerbated by the enlarging disparities in energy intensity between the least developed and most developed regions of China. The causes for this phenomenon are as follows: (i) rather loose regulatory measures on mitigating coal consumption; (ii) inferior energy processing technology in areas specializing in energy-intensive industries; (iii) increasing interregional energy fluxes embodied in trade; and (iv) separate jurisdictions at provincial administrative levels. These factors can synthetically result in unintended spillover to areas with inferior green technologies, suggesting an increasingly uneven distribution of energy-intensive and carbon-intensive industries and usage of clean energy. The results reveal the necessities of regional coordination and cooperation to achieve a green economy. ©2020. The Authors. Earth's Future published by Wiley Periodicals LLC on behalf of American Geophysical Union
|
|
| 5. |
- Chen, S., et al.
(författare)
-
Investment decision on shallow geothermal heating & cooling based on compound options model : A case study of China
- 2019
-
Ingår i: Applied Energy. - : Elsevier Ltd. - 0306-2619 .- 1872-9118. ; 254
-
Tidskriftsartikel (refereegranskat)abstract
- Developing shallow geothermal energy is expected to play an important role to supply affordable, clean and reliable heating by many countries in the world. However, the development is mainly hindered by the high upfront investment costs and various risks involved in the exploration, construction and operation phases. The present study proposed a compound options model to explore the optimal investment timing and value based on the consideration of both investment and operational flexibilities. The Least Square Monte Carlo and Markov Chain Monte Carlo methods were employed in the model to find the solutions. A case study was carried out for China, and five scenarios were simulated to understand the effects of different policies including subsidy, carbon trading mechanism, preferential taxation and preferential electricity price. The obtained results show that, (i) the incentive policies are essential for the development of shallow geothermal energy, which can attract more investment before 2030; (ii) the government is suggested to carry out a preferential electricity price for shallow geothermal development, rather than increase the subsidy; (iii) the application of compound options method increases the investment value in all five scenarios, but its impact on investment timing varies.
|
|
| 6. |
- Chen, S., et al.
(författare)
-
Operational flexibility of active distribution networks with the potential from data centers
- 2021
-
Ingår i: Applied Energy. - : Elsevier Ltd. - 0306-2619 .- 1872-9118. ; 293
-
Tidskriftsartikel (refereegranskat)abstract
- With the development of information technology, the scale and quantity of internet data centers (IDCs) are expanding rapidly. IDCs have emerged as the major electricity consumers in active distribution networks (ADNs), which dramatically increase the electricity load and have a significant impact on the operational flexibility of ADNs. Geographically distributed IDCs can participate in the operation of ADNs with the potential for spatio-temporal load regulation. This paper proposes flexible dispatch strategies of data centers to improve the operational flexibility of ADNs. First, a data-power model of IT equipment is proposed based on piecewise linearization to describe the power consumption characteristics of data centers. The flexible dispatch strategies for the delay-tolerant workload are further proposed from two aspects of temporal transfer and spatial allocation. Then, considering the potential for spatio-temporal load regulation, the operational flexibility analysis model with data centers is formulated to adapt to the operational requirements of ADNs in complex environments. Case studies show that through the spatio-temporal regulation of workload, the energy efficiency of IDCs can be effectively improved. The flexible dispatch of IDCs can also reduce the voltage violation and feeder load imbalance of ADNs, which can facilitate providing the high-quality power supply for IDCs.
|
|
| 7. |
- Chen, S., et al.
(författare)
-
Study on the Oil Import/Export Quota Allocation Mechanism in China by Using a Dynamic Game-Theoretic Model
- 2017
-
Ingår i: Energy Procedia. - : Elsevier Ltd. - 1876-6102. ; 105, s. 3856-3861
-
Tidskriftsartikel (refereegranskat)abstract
- With the rapid progress of oil market reform in China, independent refineries (small companies) get more and more oil import/export quotas, which will bring big impacts on the whole market and society. However, whether the impacts are positive or negative is highly dependent on the quota allocation mechanism and prices in global/domestic market markets. Therefore, in the present study, considering the game relationships among the six agents including state-owned companies, independent refineries, domestic and foreign oil product consumers, and domestic and foreign crude oil producers, in order to calculate the detailed impacts, a game-theoretic analysis model was developed. The impacts of different quota mechanism are analyzed and compared, and the optimal quota mechanism in different price scenarios is obtained based on the developed model.
|
|
| 8. |
- Chen, Y., et al.
(författare)
-
Colored and patterned silicon photovoltaic modules through highly transparent pearlescent pigments
- 2024
-
Ingår i: Solar Energy Materials and Solar Cells. - : Elsevier B.V.. - 0927-0248 .- 1879-3398. ; 275
-
Tidskriftsartikel (refereegranskat)abstract
- Building-integrated photovoltaic (BIPV) is crucial for emission reduction and energy transition in urban areas. However, the limited aesthetic appearance hinders the popularization of BIPV as traditional photovoltaic (PV) modules are usually black and dark blue, therefore, colorization of PV modules can solve the problem and pave the way for the further development of BIPV. In this study, some high-efficiency colored crystalline silicon (c-Si) PV modules prepared by screen printing the front glass with pearlescent pigments are developed. A suitable pigment for the colorization of PV modules, namely the synthetic mica-based interference pearlescent pigment, was finalized by analyzing the interference theories and comparing present and potential pigments. An adjusted coloring layer thickness from 15.50 μm to 57.17 μm was then realized, which contributed to a variable lightness (L*) from 39.3 to 46.9. Besides, a series of PV modules with various colors used for building facades that could retain 93.71 % of original power generation ability, were produced for different design choices. Moreover, 15 cm × 15 cm bicolor patterned PV modules with a precise motif were fabricated, which can achieve a satisfying power conversion efficiency (PCE) of 18.64 %, only a 5.44 % relative reduction of power generation ability compared with the reference PV module (PCE = 19.71 %). The colorization method for single-colored and patterned PV modules not only guarantees power generation ability but also provides an aesthetic appearance for BIPV applications.
|
|
| 9. |
- Flammini, Francesco, Senior Lecturer, 1978-, et al.
(författare)
-
Formal Modelling and Optimal Traffic Management for Future Railways
- 2022
-
Ingår i: ERCIM NEWS. - : EUROPEAN RESEARCH CONSORTIUM INFORMATICS & MATHEMATICS. - 0926-4981. ; 129, s. 45-46
-
Tidskriftsartikel (refereegranskat)abstract
- PERFORMINGRAIL aims to delineate, through formal modelling and optimal traffic management, moving block railway signalling using advanced train positioning approaches for diverse market segments.
|
|
| 10. |
|
|
