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Increasing integration of renewable energy sources is transforming the current powergeneration structure. This challenges policy makers, system operators, and also established energy system simulation tools. We developed a dynamic bottom-up model of the German electricity market to analyze the effects of high-resolution wind energy generation.
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Increasing integration of renewable energy sources is transforming the current powergeneration structure. This challenges policy makers, system operators, and also established energy system simulation tools. We developed a dynamic bottom-up model of the German electricity market to analyze the effects of high-resolution wind energy generation.
Choose an application
Increasing integration of renewable energy sources is transforming the current powergeneration structure. This challenges policy makers, system operators, and also established energy system simulation tools. We developed a dynamic bottom-up model of the German electricity market to analyze the effects of high-resolution wind energy generation.
Choose an application
The use of carbon-intense fuels by the power sector contributes significantly to the greenhouse gas emissions of most countries. For this reason, the sector is often key to initial efforts to regulate emissions. But how long does it take before new regulatory incentives result in a switch to less carbon intense fuels? This study examines fuel switching in electricity production following the introduction of the European Union's Emissions Trading System, a cap-and-trade regulatory framework for greenhouse gas emissions. The empirical analysis examines the demand for carbon permits, carbon based fuels, and carbon-free energy for 12 European countries using monthly data on fuel use, prices, and electricity generation. A short-run restricted cost function is estimated in which carbon permits, high-carbon fuels, and low-carbon fuels are variable inputs, conditional on quasi-fixed carbon-free energy production from nuclear, hydro, and renewable energy capacity. The results indicate that prices for permits and fuels affect the composition of inputs in a statistically significant way. Even so, the analysis suggests that the industry's fuel-switching capabilities are limited in the short run as is the scope for introducing new technologies. This is because of the dominant role that past irreversible investments play in determining power-generating capacity. Moreover, the results suggest that, because the capacity for fuel substitution is limited, the impact of carbon emission limits on electricity prices can be significant if fuel prices increase together with carbon permit prices. The estimates suggest that for every 10 percent rise in carbon and fuel prices, the marginal cost of electric power generation increases by 8 percent in the short run. The European experience points to the importance of starting early down a low-carbon path and of policies that introduce flexibility in how emission reductions are achieved.
Carbon Policy and Trading --- Electricity --- Electricity generation --- Electricity prices --- Electricity production --- Emission --- Energy --- Energy and Environment --- Energy production --- Energy Production and Transportation --- Environment --- Environment and Energy Efficiency --- Free energy --- Fuel --- Fuel prices --- Fuel substitution --- Fuel switching --- Fuel use --- Fuels --- Generating capacity --- Greenhouse gas --- Greenhouse gas emissions --- Power --- Power sector --- Renewable energy --- Renewable energy capacity
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The use of carbon-intense fuels by the power sector contributes significantly to the greenhouse gas emissions of most countries. For this reason, the sector is often key to initial efforts to regulate emissions. But how long does it take before new regulatory incentives result in a switch to less carbon intense fuels? This study examines fuel switching in electricity production following the introduction of the European Union's Emissions Trading System, a cap-and-trade regulatory framework for greenhouse gas emissions. The empirical analysis examines the demand for carbon permits, carbon based fuels, and carbon-free energy for 12 European countries using monthly data on fuel use, prices, and electricity generation. A short-run restricted cost function is estimated in which carbon permits, high-carbon fuels, and low-carbon fuels are variable inputs, conditional on quasi-fixed carbon-free energy production from nuclear, hydro, and renewable energy capacity. The results indicate that prices for permits and fuels affect the composition of inputs in a statistically significant way. Even so, the analysis suggests that the industry's fuel-switching capabilities are limited in the short run as is the scope for introducing new technologies. This is because of the dominant role that past irreversible investments play in determining power-generating capacity. Moreover, the results suggest that, because the capacity for fuel substitution is limited, the impact of carbon emission limits on electricity prices can be significant if fuel prices increase together with carbon permit prices. The estimates suggest that for every 10 percent rise in carbon and fuel prices, the marginal cost of electric power generation increases by 8 percent in the short run. The European experience points to the importance of starting early down a low-carbon path and of policies that introduce flexibility in how emission reductions are achieved.
Carbon Policy and Trading --- Electricity --- Electricity generation --- Electricity prices --- Electricity production --- Emission --- Energy --- Energy and Environment --- Energy production --- Energy Production and Transportation --- Environment --- Environment and Energy Efficiency --- Free energy --- Fuel --- Fuel prices --- Fuel substitution --- Fuel switching --- Fuel use --- Fuels --- Generating capacity --- Greenhouse gas --- Greenhouse gas emissions --- Power --- Power sector --- Renewable energy --- Renewable energy capacity
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Climate change is one of the main threats to modern society. This phenomenon is associated with an increase in greenhouse gas (GHGs, mainly carbon dioxide-CO2) emissions due to anthropogenic activities. The main causes are the burning of fossil fuels and land use change (deforestation). Climate change impacts are associated with risks to basic needs (health, food security, and clean water), as well as risks to development (jobs, economic growth, and the cost of living). The processes involving CO2 capture and storage are gaining attention in the scientific community as an alternative for decreasing CO2 emissions, reducing its concentration in ambient air. The carbon capture and storage (CCS) methodologies comprise three steps: CO2 capture, CO2 transportation, and CO2 storage. Despite the high research activity within this topic, several technological, economic, and environmental issues as well as safety problems remain to be solved, such as the following needs: increase of CO2 capture efficiency, reduction of process costs, and verification of the environmental sustainability of CO2 storage.
normalized difference vegetation index (NDVI) --- techno-economic analysis --- the Loess Plateau --- power-to-methane --- GHG mitigation --- CO2 capture and utilization --- cement production with CO2 capture --- oxyfuel --- knowledge mapping --- technological evolution --- CO2 capture --- CO2 capture in industry --- IGCC --- InVEST --- electricity production --- life cycle assessment --- carbon storage --- carbon capture and storage --- CO2 capture retrofitability --- TBAB --- supercritical CO2 --- hydrate --- membrane-assisted CO2 liquefaction --- micromorphology --- synthetic natural gas --- stability map --- carbon capture and storage (CCS) --- renewable power --- carbon density --- fossil fuels --- chilled ammonia --- CCS --- cement --- MEA-based absorption --- carbon capture --- energy dependence --- calcium looping --- CO2 separation --- CO2 pipeline --- flow instability --- CiteSpace --- anti-agglomerant
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The renewable energy sector is one of the fastest growing branches of the economy in the world, including in Poland. Extensive investigation in research centers results in the increased efficiency of obtaining energy from renewable sources, as well as a decrease in the prices of renewable energy installations. The development of renewable energy motivates further research and the development of new technologies. Investments in renewable energy may also benefit the local community by increasing the attractiveness of the region to tourists, creating opportunities for professional activation (especially in areas with high unemployment), increasing the competitiveness of the local economy and its energy efficiency and obtaining raw materials from local producers, mainly farmers, which are an additional source of income for them. Another possible economic advantage is charging lease fees, for instance, for land under wind turbines or fees for ground easement, in order to ensure access to the construction of power lines, e.g., connecting turbines to the grid; lowering heat prices for residents of a given town; building investment plots in or near heat plants and biogas plants, with the provision of heat and electricity at competitive prices directly from these plants; investors covering the costs of modernizing local roads; and creating new transmission, power lines and supply points.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- waste management --- energy recovery --- model of energy recovery --- biogas --- fermentation --- combustion --- mini-grids --- energy access --- energy sustainability --- SDG 7 --- energy affordability --- green growth --- sustainable development --- environmental production --- relationships --- multicriteria taxonomy --- renewable energy sources --- household --- primary solid biofuels --- solar thermal system --- ambient pumps --- : CSR strategy --- financial performance --- energy sector --- : gross electricity production --- renewable sources --- energy transformation --- concentrationanalysis --- cluster analysis --- k-means --- European Union --- renewable energy sources (RES) --- the new EU member states --- Ward’s method: alternative energy sources --- photovoltaic systems --- wind systems --- hydropower systems --- biomass systems ---
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This reprint focuses on new trends in photo-electrocatalysis, specifically addressed to the remediation of wastewater and energy production. The remediation of wastewater, up to a level that is acceptable for discharge into receiving waterbodies, involves an ever-growing demand of energy, so effective and low-energy treatment processes are highly desirable. Among the other treatments, photo- and photo-electrochemical treatment processes may be considered as advanced oxidation processes (AOP), which are based on the generation of OH radicals, strong oxidizing agents able to indiscriminately degrade even the most persistent organic compounds. Photocatalysis and photo-electrocatalysis can be considered as effective methods for organic degradation, especially when the semiconductor is active in the range of visible light. Several results are presented on new morphologies and structures, which allow more photoactive, visibly responsive, and stable materials, as well as studies on combined processes in which photo- or photo-electrochemistry contribute to an increase in the sustainability of the whole process, lowering costs and achieving the most valuable final products. In view of the circular economy concept, microbial fuel cell systems are also considered as possible way to recover energy from organic pollutants contained in wastewater.
Research & information: general --- Biology, life sciences --- composite --- polymethylmethacrylate --- photocatalytic oxidation --- titanium dioxide --- tetracycline --- ethanol --- photocatalysis --- silver(II) oxide --- mechanical mixture --- in situ deposition --- hydrogen evolution --- Anodic oxidation --- diamond electrodes --- UV irradiation --- ultrasounds --- amoxicillin --- ampicillin --- Composite catalysts --- synergy effect --- solar energy --- wastewater remediation --- photoelectrocatalysis --- TiO2 nanostructures --- Au nanoparticles --- water splitting --- bisphenol A oxidation --- ZnFe2O4 --- degree of inversion --- cation distribution --- photoelectrochemical activity --- porous nickel --- selective corrosion --- hydrogen evolution reaction --- metal sulfides --- H2 production --- photocatalyst --- facet effect --- light trapping --- crystal size --- non-precious metal catalysts --- Cu–B alloy --- microbial fuel cell --- cathode --- environmental engineering --- oxygen electrode --- renewable energy sources --- graphitic carbon nitride --- H2 generation --- Ni–Co catalyst --- electricity production --- advanced oxidation processes --- azo dye --- sustainable resources --- niobium --- water reuse --- water treatment --- AOPs --- zinc oxide --- nanoclusters --- UVA --- visible light --- photocatalytic reduction --- CO2 --- TiO2 photocatalysts --- surface modification --- solar fuel --- magnetron sputtering --- titanium dioxide (TiO2) film --- photocatalytic activity --- metal and non-metal doping --- optical properties --- n/a --- Cu-B alloy --- Ni-Co catalyst
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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 --- n/a
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Environmental problems are forcing a rethinking of the world’s energy supply system. In parallel, there is an increasing amount of global solid waste production. A fundamental shift toward greater reliance on biomass wastes in the world’s energy system is plausible because of ongoing major technological advances that hold the promise of making the conversion of biomass into high-quality energy carriers, like electricity and gaseous or liquid fuels, economically competitive with fossil fuels. Therefore, waste-to-energy systems have become a paramount topic for both industry and researchers due to interest in energy production from waste and improved chemical and thermal efficiencies with more cost-effective designs. This biomass shift is also important for industries to become more efficient by using their own wastes to produce their own energy in the light of the circular economy concept. This book on “Biomass Wastes for Energy Production” brings novel advances on waste-to-energy technologies, life cycle assessment, and computational models, and contributes to promoting rethinking of the world’s energy supply systems.
torrefaction --- biorenewable energy --- biowaste --- biocoal --- alternative fuel --- waste management --- manure --- thermal valorization --- thermogravimetric analysis --- differential scanning calorimetry --- autothermal gasification --- downdraft reactor --- thermodynamics --- chemical equilibrium --- carbon boundary point --- dairy wastewater --- biogas --- anaerobic digestion --- anaerobic horizontal flow reactor --- microwave radiation --- ultrasound --- biomass residues --- forestry --- thermal treatment --- biomass valorization --- torrefied material properties --- biomass gasification --- demonstration-scale plant --- syngas --- circular economy --- wastewater management --- activated carbon adsorption --- steam boilers --- co-firing --- biomass --- characteristics --- boiler efficiency --- GHG emissions --- decision parameters --- result parameters --- structural parameters --- peach pruning residues --- electricity production --- life cycle assessment --- LCA --- biomass-to-energy --- biomass waste --- competing uses --- biomass applications --- bio-based economy --- biomass value pyramid --- co-occurrence analysis --- internal combustion engines-generator --- small-scale systems --- energy efficiency --- techno-economic analysis --- Monte Carlo method --- organic waste --- energy recovery --- cost analysis
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