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You searched for: Journal name Applied energy Remove constraint Journal name: Applied energy Publication year rev 7978-2022 Remove constraint Publication year rev: 7978-2022 Source 2022 v.306 Remove constraint Source: 2022 v.306
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1. A hierarchical object oriented Bayesian network-based fault diagnosis method for building energy systems

Author:
Tingting Li; Yangze Zhou; Yang Zhao; Chaobo Zhang; Xuejun Zhang
Source:
Applied energy 2022 v.306 pp. 118088
ISSN:
0306-2619
Subject:
Bayesian theory; algorithms; energy
Abstract:
... Bayesian network is a powerful algorithm to diagnose the faults in building energy systems based on incomplete and uncertain diagnostic information. In practice, it is very challenging to construct Bayesian networks for large-scale and complex systems. Inspired by the object oriented programming technology, a hierarchical object oriented Bayesian network-based method is proposed in this study. Its ...
DOI:
10.1016/j.apenergy.2021.118088

2. An optimisation model to determine the capacity of a distributed energy resource to contract with a balancing services aggregator

Author:
Ussama Rai; Gbemi Oluleye; Adam Hawkes
Source:
Applied energy 2022 v.306 pp. 117984
ISSN:
0306-2619
Subject:
electricity; electricity generation; income; models
Abstract:
... Electricity systems require a real-time balance between generation and demand for electricity. In the past, changing the output of larger generators has been the primary means of achieving this balance, but more recently, smaller distributed energy resources (DERs) are becoming a contributor. As electricity generation becomes more intermittent due to the uptake of renewables, the task of balancing ...
DOI:
10.1016/j.apenergy.2021.117984

3. Assessment of two optimisation methods for renewable energy capacity expansion planning

Author:
Felix Keck; Silke Jütte; Manfred Lenzen; Mengyu Li
Source:
Applied energy 2022 v.306 pp. 117988
ISSN:
0306-2619
Subject:
electricity; energy; energy policy; renewable energy sources; Australia
Abstract:
... When deciding on a country’s future energy policy, it is essential to accurately estimate the future generation mix and technology costs, as well as future generation site locations in electricity power grids. This estimate needs to allow for changing levels of demand and increasing levels of renewable energy supply, with both having high fluctuations geographically and temporally. This objective ...
DOI:
10.1016/j.apenergy.2021.117988

4. Automatic identification of utilizable rooftop areas in digital surface models for photovoltaics potential assessment

Author:
Mohammad Aslani; Stefan Seipel
Source:
Applied energy 2022 v.306 pp. 118033
ISSN:
0306-2619
Subject:
energy; face; infrastructure; solar energy; spatial data; vegetation
Abstract:
... The considerable potential of rooftop photovoltaics (RPVs) for alleviating the high energy demand of cities has made them a proven technology in local energy networks. Identification of rooftop areas suitable for installing RPVs is of importance for energy planning. Having these suitable areas referred to as utilizable areas greatly assists in a reliable estimate of RPVs energy production. Within ...
DOI:
10.1016/j.apenergy.2021.118033

5. Automatic soiling and partial shading assessment on PV modules through RGB images analysis

Author:
Robinson Cavieres; Rodrigo Barraza; Danilo Estay; José Bilbao; Patricio Valdivia-Lefort
Source:
Applied energy 2022 v.306 pp. 117964
ISSN:
0306-2619
Subject:
algorithms; computer vision; energy; neural networks
Abstract:
... This article presents an artificial neural network tool able to quantify the power loss due to soiling and partial shading effects of solar photovoltaic modules in the field, which may play a key factor on an optimal operation and maintenance of PV systems. The proposed approach uses visible spectrum RGB images of multiple solar panels and environmental data to predict each module’s performance in ...
DOI:
10.1016/j.apenergy.2021.117964

6. Building stock energy modeling considering building system composition and long-term change for climate change mitigation of commercial building stocks

Author:
Yohei Yamaguchi; Bumjoon Kim; Takuya Kitamura; Kotone Akizawa; Hemiao Chen; Yoshiyuki Shimoda
Source:
Applied energy 2022 v.306 pp. 117907
ISSN:
0306-2619
Subject:
carbon dioxide; climate change; electricity; energy conservation; energy efficiency; heat; insulating materials
Abstract:
... A significant improvement in the building stock energy efficiency is imperative to mitigate climate change. Building stock energy models (BSEMs) that employ reference building models are useful for mitigation analysis. However, most existing BSEMs developed for commercial building stock focus on limited building systems and energy conservation measures, and technology deployments are suggested bas ...
DOI:
10.1016/j.apenergy.2021.117907

7. China’s pathways to peak carbon emissions: New insights from various industrial sectors

Author:
Kai Fang; Chenglin Li; Yiqi Tang; Jianjian He; Junnian Song
Source:
Applied energy 2022 v.306 pp. 118039
ISSN:
0306-2619
Subject:
Monte Carlo method; United Nations Framework Convention on Climate Change; carbon; economic development; electricity; energy; environmental Kuznets curve; inventories; regression analysis; transportation; China
Abstract:
... To maintain global warming below 2 °C, as per the Paris Agreement, China should stop its energy-related carbon emissions from increasing by 2030. Given the dominating role of industrial-specific emissions in the national emissions inventory, exploring the potential peaking pathways of emissions in China’s diverse industrial sectors is necessary. By accounting for the emissions from China’s eight s ...
DOI:
10.1016/j.apenergy.2021.118039

8. Combining electrochemical and imaging analyses to understand the effect of electrode microstructure and electrolyte properties on redox flow batteries

Author:
Benedict A. Simon; Andrea Gayon-Lombardo; Catalina A. Pino-Muñoz; Charles E. Wood; Kevin M. Tenny; Katharine V. Greco; Samuel J. Cooper; Antoni Forner-Cuenca; Fikile R. Brushett; Anthony R. Kucernak; Nigel P. Brandon
Source:
Applied energy 2022 v.306 pp. 117678
ISSN:
0306-2619
Subject:
X-radiation; acetonitrile; carbon; carbonates; electrochemistry; electrolytes; energy; mass transfer; microstructure; models; permeability; propylene
Abstract:
... Reducing the cost of redox flow batteries (RFBs) is critical to achieving broad commercial deployment of large-scale energy storage systems. This can be addressed in a variety of ways, such as reducing component costs or improving electrode design. The aim of this work is to better understand the relationship between electrode microstructure and performance. Four different commercially available c ...
DOI:
10.1016/j.apenergy.2021.117678

9. Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning

Author:
Jiawen Li; Tao Yu; Xiaoshun Zhang
Source:
Applied energy 2022 v.306 pp. 117900
ISSN:
0306-2619
Subject:
algorithms; curriculum; energy; issues and policy; markets; models; China
Abstract:
... To dynamically balance multiple energy fluctuations in a multi-area integrated energy system (IES), a coordinated power control framework, named distributed intelligent coordinated automatic generation control (DIC-AGC), is constructed among different areas during load frequency control (LFC). Furthermore, an evolutionary imitation curriculum multi-agent deep deterministic policy gradient (EIC-MAD ...
DOI:
10.1016/j.apenergy.2021.117900

10. Customized data center cooling system operating at significant outdoor temperature fluctuations

Author:
Mateusz Borkowski; Adam Krzysztof Piłat
Source:
Applied energy 2022 v.306 pp. 117975
ISSN:
0306-2619
Subject:
climate; electric energy consumption; energy; temperature
Abstract:
... This elaboration presents the configuration of the cooling system of the POLCOM Data Center which utilizes commercially available components, proposes steering strategy and analyzes their functionality. The designed architecture of cooling and dedicated control system is presented to demonstrate the novelty and customization with respect to the demanding outdoor temperatures existing in the climat ...
DOI:
10.1016/j.apenergy.2021.117975

11. Decentralised optimisation for large offshore wind farms using a sparsified wake directed graph

Author:
Tong Shu; Dongran Song; Young Hoon Joo
Source:
Applied energy 2022 v.306 pp. 117986
ISSN:
0306-2619
Subject:
algorithms; energy; power generation; turbulent flow; wind; wind farms
Abstract:
... Considering the wake effects, developing an efficient wake-based graph clustering algorithm is essential for the decentralised coordinated online control of large offshore wind farms. In this study, the idea of graph sparse is introduced into the algorithm, in which the sparsified wake-directed graph is generated while preserving the original wake-directed graph critical wake coupling relationship ...
DOI:
10.1016/j.apenergy.2021.117986

12. Deep neural network battery life and voltage prediction by using data of one cycle only

Author:
Chia-Wei Hsu; Rui Xiong; Nan-Yow Chen; Ju Li; Nien-Ti Tsou
Source:
Applied energy 2022 v.306 pp. 118134
ISSN:
0306-2619
Subject:
ecological value; electric potential difference; issues and policy; prediction; temperature
Abstract:
... Rechargeable batteries, such as LiFePO₄/graphite cells, age differently by variability in manufacturing, charging (energy inflow) policy, temperature, discharging conditions, etc. Great economic and environmental value can be extracted if we can predict how a battery ages and ascertain its current state of health and residual useful life, based on just a few cycles of testing. Here, by developing ...
DOI:
10.1016/j.apenergy.2021.118134

13. Design and connection optimization of a district cooling network: Mixed integer programming and heuristic approach

Author:
Manfredi Neri; Elisa Guelpa; Vittorio Verda
Source:
Applied energy 2022 v.306 pp. 117994
ISSN:
0306-2619
Subject:
case studies; cooling; energy; heat; models; temperature; topology
Abstract:
... In densely populated areas, district energy systems can bring significant savings and an overall reduction of CO2 emissions. In particular, district cooling is a valid alternative to conventional cooling technologies. Among the issues related to district cooling there is the relative smaller temperature difference between supply and return respect to district heating. This increases the design and ...
DOI:
10.1016/j.apenergy.2021.117994

14. Do the national industrial relocation demonstration zones have higher regional energy efficiency?

Author:
Mengna Li; Xiongfeng Pan; Sai Yuan
Source:
Applied energy 2022 v.306 pp. 117914
ISSN:
0306-2619
Subject:
energy efficiency; foreign direct investment; industry; issues and policy
Abstract:
... The National Industrial Relocation Demonstration Zones serve as an important platform for optimizing spatial layout of productivity and promoting coordinated regional development. The impact of the establishment of demonstration zones on regional total factor energy efficiency remains unclear. This paper used dynamic slacks-based measurement method to measure the total factor energy efficiency of ...
DOI:
10.1016/j.apenergy.2021.117914

15. Dry cooling retrofits at existing fossil fuel-fired power plants in a water-stressed region: Tradeoffs in water savings, cost, and capacity shortfalls

Author:
Haibo Zhai; Edward S. Rubin; Eric J. Grol; Andrew C. O'Connell; Zitao Wu; Eric G. Lewis
Source:
Applied energy 2022 v.306 pp. 117997
ISSN:
0306-2619
Subject:
annuals; coal; cooling; decision making; electric power industry; electricity generation; power plants; prices; seasonal variation; water stress
Abstract:
... This study investigates the performance, cost, and generating capacity impacts of switching from wet cooling towers to dry cooling systems to reduce the consumptive water use at existing fossil fuel-fired power plants in a water-stressed region. Retrofit analysis of dry cooling is conducted on a unit-by-unit basis for both coal-fired and gas-fired power plants. Unit-level results are then aggregat ...
DOI:
10.1016/j.apenergy.2021.117997

16. Emissions and fuel consumption of a hybrid electric vehicle in real-world metropolitan traffic conditions

Author:
An Wang; Junshi Xu; Mingqian Zhang; Zhiqiang Zhai; Guohua Song; Marianne Hatzopoulou
Source:
Applied energy 2022 v.306 pp. 118077
ISSN:
0306-2619
Subject:
carbon dioxide; data collection; electric motors; energy; energy use and consumption; models; prediction; traffic; vehicles (equipment); China
Abstract:
... This study tested exhaust emissions and fuel consumption for a hybrid electric vehicle (HEV) in real-world conditions using a portable emissions measurement system (PEMS). A gradient boosting model was developed to predict the electric motor’s operation and emissions using only vehicle kinematic data. The model was applied to estimate the potential emission reductions that would be achieved with H ...
DOI:
10.1016/j.apenergy.2021.118077

17. Energy sector portfolio analysis with uncertainty

Author:
James Milford; Max Henrion; Chad Hunter; Emily Newes; Caroline Hughes; Samuel F. Baldwin
Source:
Applied energy 2022 v.306 pp. 117926
ISSN:
0306-2619
Subject:
decision making; energy; energy industry; models; research and development; risk; uncertainty; uncertainty analysis
Abstract:
... Governments are dealing with the challenge of how to efficiently invest in research and development portfolios related to energy technologies. Research and development investment decisions in the energy space are especially difficult due to numerous risks and uncertainties, and due to the complexity of energy’s interactions with the broad economy. Historically, much of the U.S. Department of Energ ...
DOI:
10.1016/j.apenergy.2021.117926

18. Evaluation of thermomagnetic generation performance of classic magnetocaloric materials for harvesting low-grade waste heat

Author:
Haodong Chen; Zhihui Ma; Xianliang Liu; Kaiming Qiao; Longlong Xie; Zhenxing Li; Jun Shen; Wei Dai; Zhiqiang Ou; Hargen Yibole; Ojiyed Tegus; Sergey V. Taskaev; Ke Chu; Yi Long; Hu Zhang
Source:
Applied energy 2022 v.306 pp. 117999
ISSN:
0306-2619
Subject:
alloys; energy; heat; magnetism
Abstract:
... Nowadays, the thermomagnetic generators (TMGs) based on thermomagnetic effect have been considered as a promising technology for harvesting low-grade waste heat. However, so far, most works are mainly focused on the design and optimization of these devices, while only a few studies have systematically investigated the TMG materials; moreover, evaluating the performance of different TMG materials i ...
DOI:
10.1016/j.apenergy.2021.117999

19. Identifying the critical paths and sectors for carbon transfers driven by global consumption in 2015

Author:
Dongxiao Xu; Yan Zhang; Bin Chen; Junhong Bai; Gengyuan Liu; Boyu Zhang
Source:
Applied energy 2022 v.306 pp. 118137
ISSN:
0306-2619
Subject:
carbon; climate change; electricity; energy; international trade; path analysis; petroleum; primary productivity; social welfare; China
Abstract:
... Climate change caused by carbon emission threatens human well-being, and global trade drives the transfer of carbon emission between consumers and producers. Thus, quantifying global carbon transfer paths is important. Based on multi-regional input–output tables, we used structural path analysis to decompose the carbon emission processes embodied in trade to analyze the tier structure at multiple ...
DOI:
10.1016/j.apenergy.2021.118137

20. Implementing multi-settlement decentralized electricity market design for transactive communities with imperfect communication

Author:
Monish Mukherjee; Trevor Hardy; Jason C. Fuller; Anjan Bose
Source:
Applied energy 2022 v.306 pp. 117979
ISSN:
0306-2619
Subject:
algorithms; electricity; energy; market structure; markets
Abstract:
... The ubiquitousness of the low cost Information & Communication Technologies (ICT) provides strategic opportunities for the “prosumers”, customers that both consume and produce energy, to have a more proactive role in system operation. From an operational perspective, though, this creates additional challenges in managing power distribution networks due to such active grid-edge systems with limited ...
DOI:
10.1016/j.apenergy.2021.117979