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Agriculture, as a production-oriented sector, entails energy as a substantial input by which global food security is ensured. Agricultural systems require energy for farm machinery and equipment; lighting; heating, ventilation, and air-conditioning (HVAC); food processing and preservation; fertilizer and chemical production; and water/wastewater treatment/application. Increasing agriculture mechanization mitigates conventional energy reserves that escalate greenhouse gas emissions and climate change.This book aims to offer energy-efficient and/or environment-friendly ways for the agriculture sector to achieve the 2030 UN Sustainable Development Goals. The book provides cutting-edge research on next-generation agricultural technologies and applications to develop a sustainable solution for modern greenhouses, temperature/humidity control in agriculture, farm storage and drying, crop water requirements, agricultural built environment, and wastewater treatment.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- mercury ion --- corn cob --- activated carbon --- adsorption --- greenhouse energy modeling --- renewable energy --- energy-saving screen --- greenhouse microclimate control --- cantaloupe --- improvement potential --- energy efficiency --- exergy --- ANN --- ANFIS --- cereal production --- crop rotation --- energy analysis --- DEA --- CO2 emissions --- Chinese solar greenhouse --- thermal model --- north wall --- cold regions --- heating requirement --- pyrolysis --- date palm waste --- techno-economic --- fluidized bed reactor --- biofuels --- solar cooling --- post-harvest food losses --- decentralized food storage --- cooling pads --- agriculture --- CROPWAT --- irrigation management --- crop water requirement --- hybrid renewable energy --- techno-economic optimization --- net present cost --- HOMER Pro® --- membrane energy recovery ventilator --- energy recovery potential --- Maisotsenko cycle evaporative cooling --- building air-conditioning --- human thermal comfort --- Pakistan --- wastewater treatment --- biological process --- aerobic process --- attached growth --- biofilm --- rotating biological contactor --- mercury ion --- corn cob --- activated carbon --- adsorption --- greenhouse energy modeling --- renewable energy --- energy-saving screen --- greenhouse microclimate control --- cantaloupe --- improvement potential --- energy efficiency --- exergy --- ANN --- ANFIS --- cereal production --- crop rotation --- energy analysis --- DEA --- CO2 emissions --- Chinese solar greenhouse --- thermal model --- north wall --- cold regions --- heating requirement --- pyrolysis --- date palm waste --- techno-economic --- fluidized bed reactor --- biofuels --- solar cooling --- post-harvest food losses --- decentralized food storage --- cooling pads --- agriculture --- CROPWAT --- irrigation management --- crop water requirement --- hybrid renewable energy --- techno-economic optimization --- net present cost --- HOMER Pro® --- membrane energy recovery ventilator --- energy recovery potential --- Maisotsenko cycle evaporative cooling --- building air-conditioning --- human thermal comfort --- Pakistan --- wastewater treatment --- biological process --- aerobic process --- attached growth --- biofilm --- rotating biological contactor

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This book aims to perform an impartial analysis to evaluate the implications of the environmental costs and impacts of a wide range of technologies and energy strategies. This information is intended to be used to support decision-making by groups, including researchers, industry, regulators, and policy-makers. Life cycle assessment (LCA) and technoeconomic analysis can be applied to a wide variety of technologies and energy strategies, both established and emerging. LCA is a method used to evaluate the possible environmental impacts of a product, material, process, or activity. It assesses the environmental impact throughout the life cycle of a system, from the acquisition of materials to the manufacture, use, and final disposal of a product. Technoeconomic analysis refers to cost evaluations, including production cost and life cycle cost. Often, in order to carry out technoeconomic analysis, researchers are required to obtain data on the performance of new technologies that operate on a very small scale in order to subsequently design configurations on a commercial scale and estimate the costs of such expansions. The results of the developed models help identify possible market applications and provide an estimate of long-term impacts. These methods, together with other forms of decision analysis, are very useful in the development and improvement of energy objectives, since they will serve to compare different decisions, evaluating their political and economic feasibility and providing guidance on potential financial and technological risks.

History of engineering & technology --- ocean energy --- tidal energy converters --- offshore renewable energy --- life-cycle costs --- installation and maintenance maneuvers --- economic-financial viability --- ancillary ventilation --- effective zone --- CFDs --- mixture model --- building --- environmental costs --- green GDP, China --- uncertainty analysis --- sensitivity analysis --- thermal mass --- thermal inertia --- radiant cooling system --- energy conservation --- energy simulation --- energy modeling --- bottom-up models --- building archetype simulation --- unit energy consumption --- end-use forecasting --- diffusion rate --- street lighting system --- TCO --- EVR --- EVC --- eco-efficient value creation --- eco-costs --- bibliometrics --- review --- life cycle assessment (LCA) --- allocation --- system expansion --- end of life of PV --- cost of PV recycling --- photovoltaic waste --- FRELP --- electricity scenarios --- life cycle assessment --- Italian electricity --- environmental impacts --- grid mix --- California --- energy transition --- net energy analysis --- EROI --- photovoltaic --- energy storage --- lithium-ion battery --- hourly data

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• Reference Manager
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Agriculture, as a production-oriented sector, entails energy as a substantial input by which global food security is ensured. Agricultural systems require energy for farm machinery and equipment; lighting; heating, ventilation, and air-conditioning (HVAC); food processing and preservation; fertilizer and chemical production; and water/wastewater treatment/application. Increasing agriculture mechanization mitigates conventional energy reserves that escalate greenhouse gas emissions and climate change.This book aims to offer energy-efficient and/or environment-friendly ways for the agriculture sector to achieve the 2030 UN Sustainable Development Goals. The book provides cutting-edge research on next-generation agricultural technologies and applications to develop a sustainable solution for modern greenhouses, temperature/humidity control in agriculture, farm storage and drying, crop water requirements, agricultural built environment, and wastewater treatment.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- mercury ion --- corn cob --- activated carbon --- adsorption --- greenhouse energy modeling --- renewable energy --- energy-saving screen --- greenhouse microclimate control --- cantaloupe --- improvement potential --- energy efficiency --- exergy --- ANN --- ANFIS --- cereal production --- crop rotation --- energy analysis --- DEA --- CO2 emissions --- Chinese solar greenhouse --- thermal model --- north wall --- cold regions --- heating requirement --- pyrolysis --- date palm waste --- techno-economic --- fluidized bed reactor --- biofuels --- solar cooling --- post-harvest food losses --- decentralized food storage --- cooling pads --- agriculture --- CROPWAT --- irrigation management --- crop water requirement --- hybrid renewable energy --- techno-economic optimization --- net present cost --- HOMER Pro® --- membrane energy recovery ventilator --- energy recovery potential --- Maisotsenko cycle evaporative cooling --- building air-conditioning --- human thermal comfort --- Pakistan --- wastewater treatment --- biological process --- aerobic process --- attached growth --- biofilm --- rotating biological contactor

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book aims to perform an impartial analysis to evaluate the implications of the environmental costs and impacts of a wide range of technologies and energy strategies. This information is intended to be used to support decision-making by groups, including researchers, industry, regulators, and policy-makers. Life cycle assessment (LCA) and technoeconomic analysis can be applied to a wide variety of technologies and energy strategies, both established and emerging. LCA is a method used to evaluate the possible environmental impacts of a product, material, process, or activity. It assesses the environmental impact throughout the life cycle of a system, from the acquisition of materials to the manufacture, use, and final disposal of a product. Technoeconomic analysis refers to cost evaluations, including production cost and life cycle cost. Often, in order to carry out technoeconomic analysis, researchers are required to obtain data on the performance of new technologies that operate on a very small scale in order to subsequently design configurations on a commercial scale and estimate the costs of such expansions. The results of the developed models help identify possible market applications and provide an estimate of long-term impacts. These methods, together with other forms of decision analysis, are very useful in the development and improvement of energy objectives, since they will serve to compare different decisions, evaluating their political and economic feasibility and providing guidance on potential financial and technological risks.

ocean energy --- tidal energy converters --- offshore renewable energy --- life-cycle costs --- installation and maintenance maneuvers --- economic-financial viability --- ancillary ventilation --- effective zone --- CFDs --- mixture model --- building --- environmental costs --- green GDP, China --- uncertainty analysis --- sensitivity analysis --- thermal mass --- thermal inertia --- radiant cooling system --- energy conservation --- energy simulation --- energy modeling --- bottom-up models --- building archetype simulation --- unit energy consumption --- end-use forecasting --- diffusion rate --- street lighting system --- TCO --- EVR --- EVC --- eco-efficient value creation --- eco-costs --- bibliometrics --- review --- life cycle assessment (LCA) --- allocation --- system expansion --- end of life of PV --- cost of PV recycling --- photovoltaic waste --- FRELP --- electricity scenarios --- life cycle assessment --- Italian electricity --- environmental impacts --- grid mix --- California --- energy transition --- net energy analysis --- EROI --- photovoltaic --- energy storage --- lithium-ion battery --- hourly data

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Effective environmental decision-making is often challenging and complex, where final solutions frequently possess inherently subjective political and socio-economic components. Consequently, complex sustainability applications in the “real world” frequently employ computational decision-making approaches to construct solutions to problems containing numerous quantitative dimensions and considerable sources of uncertainty. This volume includes a number of such applied computational analytics papers that either create new decision-making methods or provide innovative implementations of existing methods for addressing a wide spectrum of sustainability applications, broadly defined. The disparate contributions all emphasize novel approaches of computational analytics as applied to environmental decision-making and sustainability analysis – be this on the side of optimization, simulation, modelling, computational solution procedures, visual analytics, and/or information technologies.

Research & information: general --- Mathematics & science --- streamflow forecasting --- C-vine copula --- quantile regression --- joint dependencies --- water resource management --- ecological relationship --- factorial analysis --- input-output analysis --- optimal path --- reduction --- urban solid waste system --- desalination --- reverse osmosis --- modelling --- simulation --- parameter estimation --- seawater --- boron --- watershed management --- nonpoint source pollution --- point source pollution --- water quality --- pollutant loadings --- South Texas --- eco-efficiency --- DEA --- CO2 emissions --- forecasting --- ecological indicators --- biomass gasification --- machine learning --- computer modeling --- computer simulation --- regression --- model reduction --- LASSO --- classification --- feature selection --- financial market --- investing --- sustainability --- renewable energy support --- energy modeling --- energy system design --- generation profile --- environmental footprint --- renewable energy --- electricity production --- unlisted companies --- Germany --- feed-in tariff --- biofuel policy --- investment profitability analysis --- the pay-off method --- simulation decomposition --- sourcing --- operational flexibility --- business aviation --- turboprop --- electric motor --- specific power --- Monte Carlo simulation --- Iowa food-energy-water nexus --- nitrogen export --- system modeling --- weather modeling --- optimal allocation --- interval --- fuzzy --- dynamic programming --- water resources --- streamflow forecasting --- C-vine copula --- quantile regression --- joint dependencies --- water resource management --- ecological relationship --- factorial analysis --- input-output analysis --- optimal path --- reduction --- urban solid waste system --- desalination --- reverse osmosis --- modelling --- simulation --- parameter estimation --- seawater --- boron --- watershed management --- nonpoint source pollution --- point source pollution --- water quality --- pollutant loadings --- South Texas --- eco-efficiency --- DEA --- CO2 emissions --- forecasting --- ecological indicators --- biomass gasification --- machine learning --- computer modeling --- computer simulation --- regression --- model reduction --- LASSO --- classification --- feature selection --- financial market --- investing --- sustainability --- renewable energy support --- energy modeling --- energy system design --- generation profile --- environmental footprint --- renewable energy --- electricity production --- unlisted companies --- Germany --- feed-in tariff --- biofuel policy --- investment profitability analysis --- the pay-off method --- simulation decomposition --- sourcing --- operational flexibility --- business aviation --- turboprop --- electric motor --- specific power --- Monte Carlo simulation --- Iowa food-energy-water nexus --- nitrogen export --- system modeling --- weather modeling --- optimal allocation --- interval --- fuzzy --- dynamic programming --- water resources