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of 10
pro vyhledávání: '"Anoop K. Mathur"'
Publikováno v:
Solar Energy, 178
Three thermocline-control (TCC) methods are assessed through numerical simulations for a thermal-energy storage (TES) filled with a packed bed of rocks. Two previously suggested methods are based on extracting or injecting heat-transfer fluid (HTF) t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c8bd696c93f50407419e832f52c65f8
https://hdl.handle.net/20.500.11850/317655
https://hdl.handle.net/20.500.11850/317655
Publikováno v:
Solar Energy, 178
Thermocline thermal-energy storage (TES) suffers from so-called thermocline degradation, which refers to the flattening of temperature gradients in the TES with successive charging-discharging cycles. Thermocline degradation increases the variations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9315b18ee0fea8d2a14bb26e363d2b0b
Publikováno v:
IEEE Transactions on Smart Grid. 5:1361-1368
Electric utilities have been reluctant to embrace realtime pricing and the integration of renewables because both demand and supply will become uncertain. We quantify these risks as a function of solar/renewable penetration, and provide engineering a
Autor:
Tariq Samad, Anoop K. Mathur
Publikováno v:
International Journal of Approximate Reasoning. 7(3-4):149-164
Neural networks are applied to the problem of parameter estimation for process systems. Neural network parameter estimators for a given parametrized model structure can be developed by supervised learning. Training examples can be dynamically generat
Publikováno v:
ASME 2009 Dynamic Systems and Control Conference, Volume 1.
This article provides an analysis of the effect on the overall energy bill of a commercial facility of active energy management. We first show the benefits of pure hedging, hedging when the facility has its own power source—we consider the use of c
Autor:
Michele Dahm, Anoop K. Mathur
Publikováno v:
Food Control. 1:32-35
The demand for high-quality product, the flexibility to share equipment to manufacture several products and other factors have moved the food industries towards increased automation. Control system vendors have responded to these needs by providing a
Publikováno v:
IEEE Transactions on Control Systems Technology. :1-1
We model the dynamics of solar thermal plants—the first model covering all processes between market demand through power output at millisecond resolution—for the purpose of control design. Our model integrates solar reflectors, power tower, salt
Publikováno v:
Volume 3: 6th Design for Manufacturing Conference.
The processing of composite materials has advanced from being a fine art to a well-studied science. The Advanced Materials Intelligent Processing Center (AMIPC) program demonstrates the use of process models, advanced technologies and data-centric al
Autor:
Karl Steiner, Sanjay Parthasarathy, Suresh Advani, Anoop K. Mathur, Wendy Foslien Graber, Soumitri N. Kolavennu, Simon Bickerton, Roderic C. Don, Hai D. Pham, Ercument Murat Sozer
Publikováno v:
Handbook of Composites ISBN: 9780412540202
A sensor placement algorithm uses process data to determine the optimal distribution of sensors in a distributed parameter manufacturing system. An automatic classification procedure maps any problems in the process to a predetermined set of process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::303e353826c649c16717cdb612c14e24
https://doi.org/10.1007/978-1-4615-6389-1_21
https://doi.org/10.1007/978-1-4615-6389-1_21
Autor:
Tariq Samad, Anoop K. Mathur
Publikováno v:
SPIE Proceedings.
An application of neural networks to the problem of parameter estimation for process systems is described. Neural network parameter estimators for a given parametrized model structure can be developed by supervised learning. Training examples can be