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Solar Radiation, Modelling and Remote Sensing

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ISBN: 9783039210046 / 9783039210053 Year: Pages: 230 DOI: 10.3390/books978-3-03921-005-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-06-26 08:44:06
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Accurate solar radiation knowledge and its characterization on the Earth’s surface are of high interest in many aspects of environmental and engineering sciences. Modeling of solar irradiance from satellite imagery has become the most widely used method for retrieving solar irradiance information under total sky conditions, particularly in the solar energy community. Solar radiation modeling, forecasting, and characterization continue to be broad areas of study, research, and development in the scientific community. This Special Issue contains a small sample of the current activities in this field. Both the environmental and climatology community, as the solar energy world, share a great interest in improving modeling tools and capabilities for obtaining more reliable and accurate knowledge of solar irradiance components worldwide. The work presented in this Special Issue also remarks on the significant role that remote sensing technologies play in retrieving and forecasting solar radiation information.

Keywords

Himawari-8/Advanced Meteorological Imager (Himawari-8/AHI) --- Geostationary Korea Multi-Purse Satellite/Advanced Meteorological Imager (GK-2A/AMI) --- broadband albedo at the top of the atmosphere (TOA albedo) --- reflected shortwave radiation at the top of the atmosphere (RSR) --- Clouds and the Earth Radiant Energy System (CERES) --- surface solar radiation --- remote sensing --- validation --- India --- solar radiation trends --- Solis scheme --- clear sky --- radiation model --- radiative transfer --- high turbidity --- water vapor --- solar radiation --- understory light condition --- forest canopy --- subcanopy light regime --- PAR --- shortwave radiation --- light attenuation --- remote sensing --- solar irradiance --- nowcasting --- AMESIS --- MSG --- SEVIRI --- radiance --- brightness temperature --- motion vector field --- photosynthetically active radiation --- global horizontal irradiance --- clustering analysis --- Kato bands --- solar irradiance --- MSG --- SEVIRI --- HRV --- AMESIS --- solar radiation --- global horizontal irradiance --- satellite-derived dataset --- validation --- solar energy --- aerosol impact --- earth observation --- clear sky index --- solar irradiance --- downward shortwave radiation --- global horizontal irradiance --- solar variability --- cloud categories --- GOES satellites --- evapotranspiration --- insolation --- surface energy balance --- data fusion --- water resource management --- California Delta --- solar radiation --- radiative transfer --- solar energy systems --- solar radiation forecasting

Abiotic Stress Effects on Performance of Horticultural Crops

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ISBN: 9783039217502 / 9783039217519 Year: Volume: 1 Pages: 126 DOI: 10.3390/books978-3-03921-751-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Agriculture (General)
Added to DOAB on : 2019-11-05 10:43:33
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Horticultural crop yield and quality depend on genotype, environmental conditions, and production management. In particular, adverse environmental conditions may greatly affect crop performance, reducing crop yield by 50%–70%. Abiotic stresses such as cold, heat, drought, flooding, salinity, nutrient deficiency, and ultraviolet radiation affect multiple physiological and biochemical mechanisms in plants as they attempt to cope with the stress conditions. However, different crop species can have different sensitivities or tolerances to specific abiotic stresses. Tolerant plants may activate different strategies to adapt to or avoid the negative effect of abiotic stresses. At the physiological level, photosynthetic activity and light-use efficiency of plants may be modulated to enhance tolerance against the stress. At the biochemical level, several antioxidant systems may be activated, and many enzymes may produce stress-related metabolites to help avoid cellular damage, including compounds such as proline, glycine betaine, and amino acids. Within each crop species there is a wide variability of tolerance to abiotic stresses, and some wild relatives may carry useful traits for enhancing the tolerance to abiotic stresses in their progeny through either traditional or biotechnological breeding. The research papers and reviews presented in this book provide an update of the scientific knowledge of crop interactions with abiotic stresses.

Computational Intelligence in Photovoltaic Systems

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ISBN: 9783039210985 / 9783039210992 Year: Pages: 180 DOI: 10.3390/books978-3-03921-099-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 16:10:12
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Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant production, storage sizing, modeling, and control optimization of photovoltaic systems. Computational intelligence algorithms (evolutionary optimization, neural networks, fuzzy logic, etc.) have become more and more popular as alternative approaches to conventional techniques for solving problems such as modeling, identification, optimization, availability prediction, forecasting, sizing, and control of stand-alone, grid-connected, and hybrid photovoltaic systems. This Special Issue will investigate the most recent developments and research on solar power systems. This Special Issue “Computational Intelligence in Photovoltaic Systems” is highly recommended for readers with an interest in the various aspects of solar power systems, and includes 10 original research papers covering relevant progress in the following (non-exhaustive) fields: Forecasting techniques (deterministic, stochastic, etc.); DC/AC converter control and maximum power point tracking techniques; Sizing and optimization of photovoltaic system components; Photovoltaics modeling and parameter estimation; Maintenance and reliability modeling; Decision processes for grid operators.

Energy Performance and Indoor Climate Analysis in Buildings

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ISBN: 9783039213795 / 9783039213801 Year: Pages: 374 DOI: 10.3390/books978-3-03921-380-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
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HVAC systems, load shifting, indoor climate, and energy and ventilation performance analyses are the key topics when improving energy performance in new and renovated buildings. This development has been boosted by the recently established nearly zero energy building requirements that will soon be in use in all EU Member States, as well as similar long-term zero energy building targets in Japan, the US, and other countries. The research covered in this Special Issue provides evidence of how new technical solutions have worked, in practice, in new or renovated buildings, and also discusses problems and how solutions should be further developed. Another focus is on the more detailed calculation methods needed for the correct design and sizing of dedicated systems, and for accurate quantification of energy savings. Occupant behavior and building operation is also examined, in order to avoid common performance gaps between calculated and measured performance. These topics demonstrate the challenge of high performance buildings as, in the end, comfortable buildings with good indoor climate which are easy and cheap to operate and maintain are expected by end customers. Ventilation performance, heating and cooling, sizing, energy predictions and optimization, load shifting, and field studies are some of the key topics in this Special Issue, contributing to the future of high performance buildings with reliable operation.

Keywords

Jaya algorithm --- smart grid --- optimal energy management --- demand response --- demand side management --- indoor temperature after renovation --- electricity use --- DHW energy use --- user behavior --- standard use --- energy performance modeling --- gray box --- satellite-based solar radiation data --- meteorological reanalysis data --- ISO 52016-1 --- energy efficiency --- HVAC systems --- chiller plants --- chiller performance --- COP --- data-driven analysis --- energy --- building --- ventilation --- cooling --- outdoor air --- air jet --- personalized ventilation --- skin temperature --- CFD --- thermal analysis --- corner impinging jet --- mixing ventilation --- displacement ventilation --- tracer gas --- air exchange effectiveness --- local air change effectiveness --- draught rate --- Monte Carlo method --- ISO 7730 --- TRNSYS --- greenhouse --- indoor temperature uniformity --- multiple sensor nodes --- qualitative control --- corner impinging jet --- corner mixing ventilation --- hybrid displacement device --- heating mode --- thermal comfort --- air exchange effectiveness --- local air change effectiveness --- draught rate, --- downdraught --- smart buildings --- smart readiness indicator --- energy efficiency --- energy performance of buildings directive --- energy flexibility --- load shifting --- demand response --- building energy simulation --- occupant behavior --- energy performance --- indoor climate --- retirement home --- user input data --- condenser evaporative precooling --- rooftop air conditioners --- building energy modelling --- control strategy --- ground source heat pump --- heating power --- sizing --- DHW heating --- space heating --- alternate operation --- daylight --- existing buildings --- daylight factor --- daylight simulations --- daylight survey --- energy efficiency --- student dormitories --- Indoor Environmental Quality (IEQ), Pro-GET-onE H2020 --- in situ measurements --- monitoring measurements --- energy signature --- indoor air quality --- stratification --- basketball hall --- CFD --- field measurement --- single room ventilation unit --- building pressure condition --- stack effect --- wind pressure --- ventilation renovation --- decentralized ventilation unit

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MDPI - Multidisciplinary Digital Publishing Institute (4)


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CC by-nc-nd (4)


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eng (4)


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2019 (4)