Numerical Methods and Computer Simulations in Energy Analysis
Numerical analysis and computer simulations are becoming increasingly important in modeling of new sources and methods of harvesting, transforming and storing energy from its renewable sources. A similar trend is also observed in relation to environmental impacts on people and the buildings in which...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Kamiński, Marcin |4 edt | |
700 | 1 | |a Juan, Angel A. |4 edt | |
700 | 1 | |a Kamiński, Marcin |4 oth | |
700 | 1 | |a Juan, Angel A. |4 oth | |
245 | 1 | 0 | |a Numerical Methods and Computer Simulations in Energy Analysis |
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300 | |a 1 electronic resource (628 p.) | ||
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337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a Numerical analysis and computer simulations are becoming increasingly important in modeling of new sources and methods of harvesting, transforming and storing energy from its renewable sources. A similar trend is also observed in relation to environmental impacts on people and the buildings in which they use to live or stay, as well as the impact of everyday devices, machines and industrial installations on the quality of air and drinking water. This collection provides an overview of contemporary methods, algorithms and results in this broad and important field of human knowledge. Particularly noteworthy here are works in the area of machine learning and artificial intelligence, where the progress of computer methods and the interest of researchers from many fields seem to be the greatest. The use of statistical and stochastic algorithms that make it possible to take into account the impact of wind, humidity, moisture, temperature and sunlight on the immediate human environment remains still a great challenge. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Information technology industries |2 bicssc | |
650 | 7 | |a Computer science |2 bicssc | |
653 | |a computer simulations | ||
653 | |a statistical methods | ||
653 | |a environmental impacts | ||
653 | |a renewable energy | ||
653 | |a energy harvesters | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/topic/8151 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/128687 |7 0 |z DOAB: description of the publication |