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JournalISSN: 0733-9402

Journal of Energy Engineering-asce 

American Society of Civil Engineers
About: Journal of Energy Engineering-asce is an academic journal published by American Society of Civil Engineers. The journal publishes majorly in the area(s): Combustion & Diesel fuel. It has an ISSN identifier of 0733-9402. Over the lifetime, 1712 publications have been published receiving 12945 citations. The journal is also known as: Energy engineering.


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Journal ArticleDOI
TL;DR: In this paper, supercapacitors are considered to be promising candidates for power devices in future generations and these devices are expected to find many future applications in hybrid electric vehicles an...
Abstract: Supercapacitors are considered to be promising candidates for power devices in future generations. These devices are expected to find many future applications in hybrid electric vehicles an...

401 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed a system approach which views generation and associated loads as a subsystem or a microgrid, where the sources can operate in parallel to the grid or can operate on an island, providing utility power station services.
Abstract: Application of individual distributed generators can cause as many problems as it may solve. A better way to realize the emerging potential of distributed generation is to take a system approach which views generation and associated loads as a subsystem or a “microgrid.” The sources can operate in parallel to the grid or can operate in island, providing utility power station services. The system will disconnect from the utility during large events (e.g., faults and voltage collapses), but may also intentionally disconnect when the quality of power from the grid falls below certain standards. Utilization of waste heat from the sources will increase total efficiency, making the project more financially attractive. University of Wisconsin laboratory verification of microgrid control concepts are included.

364 citations

Journal Article
TL;DR: A new neural network training algorithm is presented which reduces the required training time considerably and overcomes many of the shortcomings presented by the conventional back-propagation algorithm.
Abstract: This paper presents a new neural network training algorithm which reduces the required training time considerably and overcomes many of the shortcomings presented by the conventional back-propagation algorithm. The algorithm uses a modified form of the back-propagation algorithm to minimize the mean squared error between the desired and actual outputs with respect to the inputs to the nonlinearities. Artificial Neural Network (ANN) model using the new algorithm is applied to forecast the short-term electric load. Inputs to the ANN are past loads and the output of the ANN is the hourly load forecast for a given day.

364 citations

Journal ArticleDOI
TL;DR: In this article, a bomb calorimetry method was used for the first time to measure the energy content of raw municipal wastewater, which indicated that the potential energy available in the raw waste-water exceeds the electricity requirements of the treatment process by a factor of 9.3.
Abstract: A bomb calorimetry method has been used for the first time to measure the energy content of raw municipal wastewater. The method was first validated using standard compounds (arginine, glucose, and propionic acid) and then tested with municipal sludge samples, with the results compared to previously published values. By drying a large enough sample to yield approximately 0.5 g of solid residue and using benzoic acid in a 1:1 ratio as a combustion aid, an accurate and precise measurement of the energy content of raw municipal wastewater can be made. The energy content measurements indicate that for the full-scale treatment facility examined, the potential energy available in the raw waste-water exceeds the electricity requirements of the treatment process by a factor of 9.3.

278 citations

Journal ArticleDOI
TL;DR: In this paper, an electricity generation simulation model is used to perform simulations on the switching behavior in both the first and the second trading periods of the EU ETS, and the obtained switching potential turns out to be significant, up to 300 Mton /year, at sufficiently high EUA prices.
Abstract: The European Union has implemented the European Union emission trading scheme (EU ETS) as an instrument to facilitate greenhouse gas (GHG) emission abatement stipulated in the Kyoto protocol. Empirical data show that in the early stages of the EU ETS, the value of a ton of CO2 has already led to emission abatement through switching from coal to gas in the European electric power sector. In the second part of this paper, an electricity generation simulation model is used to perform simulations on the switching behavior in both the first and the second trading periods of the EU ETS. In 2005, the reduction in GHG emissions in the electric power sector due to EU ETS is estimated close to 88 Mton . For the second trading period, a European Union allowance (EUA) price dependent GHG reduction curve has been determined. The obtained switching potential turns out to be significant, up to 300 Mton /year, at sufficiently high EUA prices.

118 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202349
202248
202177
202093
201948
201882