Reduce Greenhouse Gas Emissions Research Articles

Straw-derived biochar regulates soil enzyme activities, reduces greenhouse gas emissions, and enhances carbon accumulation in farmland under mulching

Context or problemFilm mulching can significantly increase crop yields, but long-term continuous mulching will reduce the soil fertility and lead to soil quality degradation. Incorporating exogenous carbon (C) is widely recognized as an effective countermeasure for improving degraded farmland soil under mulching in semiarid areas. Objective or research questionWe compared the effects of straw and biochar on the accumulation of C and soil biochemical properties in both mulched and non-mulched farmland, and investigated the effects of various types of straw inputs on greenhouse gas (GHG) emissions. MethodsA field experiment was conducted to test six treatments: flat planting without mulching (NN), flat planting with straw incorporation (NS), flat planting with biochar incorporation (NB), film mulching (MN), film mulching with straw incorporation (MS), and film mulching with biochar incorporation (MB)]. Comprehensive assessments were conducted in Pengyang, Ningxia, China during the two growing seasons of 2020 and 2021. ResultsMulching increased the soil hydrothermal conditions, maize yields (29.32 %), and GHG emissions (CO2: 10.07 %; N2O: 1.42 %) but decreased the soil organic C storage (SOCS: 6.91 %). Straw returning increased the plant fixed C (14.99 %), improved GHG emissions (CO2: 4.95 %; N2O: 4.33 %), and inhibited CH4 uptake (3.78 %). Compared with MS, MB reduced the GHG emissions (CO2: 9.93 %; N2O: 20.97 %) and net global warming potential (7.08 %), but increased the SOCS (SOCS: 3.42 %), C efficiency ratio (CER: 26.93 %), CH4 uptake (10.72 %), and soil enzyme activities (invertase: 6.48 %; urease: 13.76 %). ConclusionsIncorporating biochar rather than straw has greater potential for enhancing the soil enzyme activities and C use efficiency while also reducing the GHG emissions and net global warming potential caused by mulching in dryland farming. Implications or significanceIn this study, we comprehensively compared the effects of incorporating straw, film mulching, and biochar incorporation on C accumulation, GHG emissions, and maize yields in dryland farming. Our findings provide a scientific basis for achieving green and sustainable high-yield production in mulched dryland farming.

Estimation of Greenhouse Gas Emissions of Taxis and the Nonlinear Influence of Built Environment Considering Spatiotemporal Heterogeneity

The fuel consumption and greenhouse gas (GHG) emission patterns of taxis are in accordance with the urban structure and daily travel footprints of residents. With taxi trajectory data from the intelligent transportation system in Xi’an, China, this study excludes trajectories from electric taxis to accurately estimate GHG emissions of taxis. A gradient boosting decision tree (GBDT) model is employed to examine the nonlinear influence of the built environment (BE) on the GHG emissions of taxis on weekdays and weekends in various urban areas. The research findings indicate that the GHG emissions of taxis within the research area exhibit peak levels during the time intervals of 7:00–9:00, 12:00–14:00, and 23:00–0:00, with notably higher emission factors on weekends than on weekdays. Moreover, a clear nonlinear association exists between BE elements and GHG emissions, with a distinct impact threshold. In the different urban areas, the factors that influence emissions exhibit spatial and temporal heterogeneity. Metro/bus/taxi stops density, residential density, and road network density are the most influential BE elements impacting GHG emissions. Road network density has both positive and negative influences on the GHG emissions in various urban areas. Increasing the road network density in subcentral urban areas and increasing the mixed degree of urban functions in newly developed urban centers to 1.85 or higher can help reduce GHG emissions. These findings provide valuable insights for reducing emissions in urban transportation and promoting sustainable urban development by adjusting urban functional areas.

Geospatial assessment of the cost and energy demand of feedstock grinding for enhanced rock weathering in the coterminous United States

In an effort to mitigate anthropogenic climate impacts the U.S. has established ambitious Nationally Determined Contribution (NDC) targets, aiming to reduce greenhouse gas emissions by 50% before 2030 and achieving net-zero emissions by 2050. Enhanced rock weathering (ERW)—the artificial enhancement of chemical weathering of rocks to accelerate atmospheric CO2 capture—is now widely seen as a potentially promising carbon dioxide removal (CDR) strategy that could help to achieve U.S. climate goals. Grinding rocks to smaller particle size, which can help to facilitate more rapid and efficient CO2 removal, is the most energy-demanding and cost-intensive step in the ERW life cycle. As a result, accurate life cycle analysis of ERW requires regional constraints on the factors influencing the energetic and economic demands of feedstock grinding for ERW. Here, we perform a state-level geospatial analysis to quantify how carbon footprints, costs, and energy demands vary among regions of the coterminous U.S. in relation to particle size and regional electricity mix. We find that CO2 emissions from the grinding process are regionally variable but relatively small compared to the CDR potential of ERW, with national averages ranging between ~5–35 kgCO2 trock−1 for modal particle sizes between ~10–100 μm. The energy cost for feedstock grinding also varies regionally but is relatively small, with national average costs for grinding of roughly 0.95–5.81 $ trock−1 using grid mix power and 1.35–8.26 $ trock−1 (levelized) for solar PV for the same particle size range. Overall energy requirements for grinding are also modest, with the demand for grinding 1 Gt of feedstock representing less than 2% of annual national electricity supply. In addition, both cost and overall energy demand are projected to decline over time. These results suggest that incorporating feedstock grinding into ERW deployment at scale in the coterminous U.S. should generally have only modest impacts on lifecycle emissions, cost-effectiveness, and energy efficiency.

Safety evaluation on ammonia-fueled ship: Gas dispersion analysis through vent mast

The maritime industry is exploring ammonia as an alternative fuel to reduce greenhouse gas emissions. However, the high toxicity of ammonia poses significant safety challenges for onboard handling and storage. This study investigates ammonia dispersion and toxicity levels from vent mast releases on ships, aiming to enhance safety measures for future ammonia-fueled vessels. Using CFD analysis on a 31,000-dwt general cargo ship model, the research examines various release scenarios, considering regulatory requirements, vent mast design, and environmental conditions. Results show that direct ammonia release from the vent mast poses fatal risks to the crew in the accommodation area and on adjacent ships, regardless of current regulatory stipulations. The study recommends installing an ammonia-catching system to reduce concentrations to safe levels of 30 ppm before release. These findings offer crucial insights for improving the safety of using ammonia as marine fuel through risk assessment and management.

Incentivizing green building technology: A financial perspective on sustainable development in India.

Future viability depends on ensuring a sustainable society because green energy methods may efficiently reduce greenhouse gas emissions. Nevertheless, stakeholders, consumers, and developers continue to be notably ignorant of the financial incentives connected to green technology. Moreover, there is still a dearth of studies on the range of financial incentives offered by different authorities in India. Monetary incentives, such as tax breaks, indirect tax exemptions, and refunds, are crucial in encouraging the use of green technology in the modern world. This study explores the importance of financial incentives for green building technologies in India, which also looks at the wide range of incentives provided by federal, state, and local governments. Furthermore, the study highlights various state government programs such as goods subsidies, exemptions from local taxes, and fee waivers. Notably, several incentives aimed at consumers, developers, and other stakeholders have been implemented by the Indian Green Building Council (IGBC). This review study emphasizes the effectiveness of financial incentives in green construction projects and draws attention to a clear knowledge gap regarding the adoption of green technology. This study also provides insights into potential future directions. Studies and research results emphasize the importance of spreading the word about financial incentives as a key factor in determining the adoption of green technologies. Many parties, including governmental organizations, municipal governments, developers, and clients engaged in green building technology projects, stand to gain increased awareness.

A Study on Hybrid Power Plant (Solar & Biomass)

We have designed an on-grid hybrid power plant that combines solar and biomass energy sources. The solar plant has a capacity of 6 MW, and the biomass plant has a capacity of 2 MW. The hybrid solar-biomass power plant is still a recent renewable technology. It is an ongoing investigation that not only proposes dispatchable power generation but also benefits from having a flexible input source, including solar and bioenergy. We aimed to successfully design a hybrid project using proper analysis, to reduce the cost of power generation through a grid-connected hybrid system, while also reducing greenhouse gas emissions. We used PVsyst software to simulate the solar plant and created the PV mounting structure and Single Line Diagram (SLD) using AutoCAD software. We have used Microsoft Excel software to carry out the cost analysis. We also calculated how much biomass waste and gas the biomass plant will need. We have been able to successfully design our hybrid power plant and, at the same time, reduce the power generation cost comparatively. The hybrid system design has made it possible to ensure the most convenient arrangement of electricity.

The enteric methane emission conundrum: U.S. beef cattle producer adoption of climate-focused technology

Cattle are ruminant livestock that emit enteric methane (CH4) as part of their natural digestive process. The U.S. beef cattle industry is receiving pressure to reduce greenhouse gas emissions, including methane. The U.S. Roundtable for Sustainable Beef has set a target for the U.S. feedlot sector to reduce emissions by 10 % per pound of beef by 2030. Feed additive 3-Nitrooxypropanol (3-NOP) has been developed to help mitigate methane emissions. While not yet approved for use in U.S. beef production, adoption of 3-NOP in U.S. feedlots upon approval remains unknown as no widespread economic incentive currently exists in the marketplace to spur adoption. The objectives of this study are: (1) to determine potential 3-NOP adoption by U.S. feedlot cattle producers given various marketplace incentives and (2) to explore how differing approaches to reducing emissions from beef production to achieve sector targets impact social welfare. Our study uses data from a U.S. feedlot producer survey to estimate willingness-to-adopt (WTA) measures. Regression results are used to map potential adoption of 3-NOP given various market and policy scenarios. The survey sample is then split into small producers (<2000 head sold in last 12 months) and large producers (2000+ head sold in last 12 months) to determine differences in WTA based on operation size. We find that producers prefer incentives in the form of processor premiums over government subsidies. The incentive level needed to spur adoption increases as the implementation cost of 3-NOP increases and decreases if net profit estimations are included in the messaging. On average, small producers require a higher incentive to adopt 3-NOP than large producers. Improving the emissions reduction efficacy of 3-NOP reduces the level of incentive needed to achieve aggregate emissions targets. The least expensive avenue to achieve emissions reduction targets results in greater outlays to large producers as compared to small producers. The marginal cost to society of feeding 3-NOP to an additional steer or heifer in the feedlot increases with each animal. As such, it may be that improving the efficacy of 3-NOP through increased investment in research and development is less costly than spurring more producers to adopt the additive in their feed rations. Ultimately, producers, processors, beef consumers, voting residents, taxpayers, and policymakers all have influence in shaping how the beef industry tackles the emissions reduction conundrum.

The potential of individuals to reduce greenhouse gas emissions through their own actions: a case of a suburb in Finland

Household consumption accounts for 65–72% of total greenhouse gas emissions globally, and therefore, a change in current consumption patterns has the potential to mitigate climate change and provide emission reductions. There is knowledge on the consumption options with a high mitigation potential, but this information has not been combined with a consumer behavior information. This study examines the emission-reduction potential of suburban residents in Finland through a survey that assesses their willingness to adopt climate actions, and by calculating the potential impact of various actions. Finnish suburban households have already implemented low-impact climate actions (recycling, reducing food waste), but the implementation of high-impact actions in households could also be increased. Transitioning to a vegetarian diet, reducing air travel and limiting consumption are identified as the most effective mitigation actions when the potential increase in the implementation rate and impact on greenhouse gas emissions are considered. However, the results suggest that voluntary individual efforts alone are not sufficient to achieve the 1.5 °C carbon budget. Thus, alongside behavioural changes, strong policy measures and technological advancements are necessary. These findings emphasise the specific individual actions that should be prioritised when formulating climate policies at the national or city levels.

Experimental Study of Natural Gas and Hydrogen Co-Firing Characteristics Using Different Types of Single Nozzles of F-Class Practical Gas Turbine Combustors

Abstract Recent research on co-firing natural gas and hydrogen, a carbon-free clean fuel, aims to reduce greenhouse gas emissions from aging gas turbine power generation, a key energy issue. This approach can enhance old gas turbines and increase the proportion of combined cycle power plant utilization as coal-fired power plants in Korea gradually shut down. This study seeks optimal operating conditions for mixed fuels without modifying the F-class gas turbine combustor. Experiments were conducted using four different types of fuel nozzles (F-Class DLN combustors) under varying loads and co-firing rates. The test used actual machine operating conditions from 30% to 100% thermal load, with hydrogen co-fired with natural gas up to 70% at each load. OH high-speed imaging and an OH-PLIF technique analyzed flame structure and characteristics. Dynamic pressure was measured to check combustion instability, and exhaust gas emissions were evaluated for combustion characteristics. Key findings include critical co-firing rates for each nozzle based on NOx emission levels and combustion dynamics. As the hydrogen co-firing rate increased, flame length decreased, and NOx levels rose rapidly beyond 30%vol. Dynamic pressure oscillations showed no significant variations compared to natural gas combustion. This study successfully derived a characteristic operation map for a single nozzle based on the hydrogen co-firing rate.

IoT-Enabled Smart Agriculture: a Pathway to Nigeria's Economic Recovery and Sustainable

As Africa's largest economy, Nigeria has the potential to become a leading nation in economic recovery and sustainable development. The rapid growth of the Internet of Things (IoT) and the introduction of smart agriculture present an opportunity for Nigeria to create meaningful economic growth and improve livelihoods. This study is aimed at examining the potential of IoT-enabled smart agriculture to provide a pathway to economic recovery and sustainable development in Nigeria. The specific objectives are to review an overview of Nigeria's current agricultural sector and the challenges it faces, including security, privacy, cost, data management, energy, lack of access to knowledgeable farming techniques, and oversight of land use. The method adopted in this study was the incremental descriptive model (IDM). It then provides the potential solutions of IoT-enabled smart agriculture to address these challenges and provide Nigeria's agricultural sector with the resources it needs to both increase yields and improve environmental sustainability. Then it outlines the potential economic impacts of IoT-enabled Smart Agriculture, including increased productivity, improved farmers' access to modern technologies and services, and increased job opportunities for rural populations. It also focuses on the potential of the system to reduce greenhouse gas emissions, providing crucial support for Nigeria's ambitious climate ambitions. In conclusion, with the right policies and measures put in place, the system can provide a pathway for economic growth and environmental sustainability. Moreover, the potential of the system to reduce poverty and provide job opportunities for rural populations offers a crucial opportunity for Nigeria to remain competitive in the global economy while simultaneously supporting its environmental goals.

Techno-Economic Optimisation of Green and Clean Hydrogen Production

AbstractEnergy is typically generated from fossil fuels, leading to significant greenhouse gas (GHG) emissions. Therefore, cleaner energy needs to be used to reduce GHG emissions in the energy sector. Hydrogen (H2) is identified as a potential resource suitable for replacing fossil fuels as H2 burns with oxygen to produce water (H2O) and generates no emissions as a result of this. However, H2 is normally produced through steam reforming of natural gas, which is a fossil fuel. Clean H2 can be produced if its derived from renewable pathways, such as solar powered water electrolysis, gasification of biomass, etc. However, determining a feasible renewable pathway is challenging. In addition, storage of H2 is another challenge as the energy density of H2 is considerably low. To increase the energy density, H2 must stored at high pressure and low temperature. This causes high storing costs for H2 before being transported to the end-users and high energy consumption requirements. H2 production from renewable sources is also lower in efficiency when compared with conventional production technology. Thus, it is critical to develop a systematic optimisation tool to analyse and optimise the production of clean H2 to overcome the abovementioned challenges. This work presents an optimisation model to optimise the production of clean H2 based on total annualised cost, yield, efficiency, storage and energy consumption of each technology. To illustate the proposed model, a case study with several scenarios, such as an economically feasible and clean H2 process and optimal H2 production and storage technologies in terms of energy consumption, is solved.

Achieving Canada's Nationally Determined Contribution: Assessing the Cost of Reducing GHG Emissions

Amidst the growing urgency of climate change, this study delves into Canada's commitment to reducing greenhouse gas (GHG) emissions as part of its Nationally Determined Contributions (NDCs) under the Paris Agreement. It aims to comprehensively understand the economic dimensions of Canada's NDC goals. Through an extensive literature review, the research establishes the groundwork for examining emission reduction targets, policy effectiveness, technological feasibility, and socio- political factors. Building on this foundation, a conceptual framework is developed, outlining key relationships among NDC targets, policies, economics, feasibility, socio-political contexts, and international cooperation. The research employs a multifaceted methodology, incorporating data collection and a marginal cost of abatement analysis to assess cost-effectiveness across emission reduction options. We expect to build the marginal cost of abatement curve based on the results from research institutions, government websites, and other NGOs. All in all, this research contributes nuanced insights into Canada's emission reduction pursuits, unveiling the intricate dynamics between policies, economics, and technology.

Climate change adaptation: Challenges for agricultural sustainability.

Climate change poses a substantial threat to agricultural sustainability globally. Agriculture is a vital component of the gross domestic production of developing countries. The multifaceted impacts of climate change on agriculture, highlighting how extreme weather events such as water stress, heatwaves, erratic rainfall, storms, floods, and emerging pest infestations are disrupting agricultural productivity. The socioeconomic status of farmers is particularly vulnerable to climatic extremes with future projections indicating significant increment in ambient air temperatures and unpredictable, intense rainfall patterns. Agriculture has historically relied on the extensive use of synthetic fertilizers, herbicides, and insecticides, combined with advancements in irrigation and biotechnological approaches to boost productivity. It encompasses a range of practices designed to enhance the resilience of agricultural systems, improve productivity, and reduce greenhouse gas emissions. By adopting climate-smart practices, farmers can better adapt to changing climatic conditions, thereby ensuring more sustainable and secure food production. Furthermore, it identifies key areas for future research, focusing on the development of innovative adaptation and mitigation strategies. These strategies are essential for minimizing the detrimental impacts of climate change on agriculture and for promoting the long-term sustainability of food systems. This article underscores the importance of interdisciplinary approaches and the integration of advanced technologies to address the challenges posed by climate change. By fostering a deeper understanding of these issues to inform policymakers, researchers, and practitioners about effective strategies to safeguard agricultural productivity and food security in the face of changing climate.

Alignment between greenhouse gas emissions reduction and adherence the EAT-Lancet diet: A modeling study based on the NutriNet-Santé cohort

The potential of the EAT-Lancet reference diet, which promotes a healthy diet within planetary limits, to reduce greenhouse gas emissions (GHGe) remains understudied. This study examines the role of nutritional and acceptability constraints in reducing GHGe through diet optimization, and tests the alignment between GHGe reduction and the EAT-Lancet score.The study used data from 29,413 NutriNet-Santé participants to model French diets and evaluate their environmental, nutritional, economic, and health impact. The Organic Food Frequency Questionnaire was used to assess organic and conventional food consumed, and the Dialecte database was used to estimate the diet environmental impacts. Quality of diets were also evaluated based using the PNNS-GS2 (Programme National Nutrition-Santé 2 guidelines score).When testing minimizing GHGe under strict nutritional and acceptability constraints, it was possible to reduce GHGe up to 67 % (from 4.34 in the observed diet to GHGe = 1.45 kgeqCO2/d) while improving the EAT score by 103 % with 91 % of the food as organic. Greater reductions required relaxation of some constraints.When testing maximizing EAT score under gradual reduction in GHGe, the adherence to the EAT-Lancet diet was not significantly affected by the gradual reduction in GHGe. To maximize EAT score with 75 % reduction in GHGe (1.09 kgeqCO2/d), less strict constraints on the bioavailability of iron and zinc are necessary. The EAT score improved by 141 %, while land occupation decreased by 57 %, compared to the observed value. The diet contained 94 % of organic foods.There was some alignment between the degree of adherence to the EAT-Lancet diet and the reduction in GHGe, but other diets may also lead to a strong reduction in GHGe. Thus, GHGe can be greatly reduced by dietary choices, but require profound reshaping of diets which must be coupled with changes in other areas of the food chain.

Green Hydrogen in Focus: A Review of Production Technologies, Policy Impact, and Market Developments

This paper navigates the critical role of hydrogen in catalyzing a sustainable energy transformation. This review delves into hydrogen production methodologies, spotlighting green and blue hydrogen as pivotal for future energy systems because of their potential to significantly reduce greenhouse gas emissions. Through a comprehensive literature review and a bibliometric analysis, this study underscores the importance of technological advancements, policy support, and market incentives in promoting hydrogen as a key energy vector. It also explores the necessity of expanding renewable energy sources and international cooperation to secure a sustainable, low-carbon future. The analysis highlights the importance of scalable and cost-effective hydrogen production methods, such as solar-thermochemical and photo-electrochemical processes, and addresses the challenges posed by resource availability and geopolitical factors in establishing a hydrogen economy. This paper serves as a guide for policy and innovation toward achieving global sustainability goals, illustrating the essential role of hydrogen in the energy transition.

Charging Strategies for Electric Vehicles from Renewable Hybrid Systems

Objective: The aim of this study is to analyze charging strategies for electric vehicles (EVs) in a hybrid system connected to the conventional electricity grid, to optimize the use of renewable energies. Theoretical Framework: This paper presents the concepts of hybrid systems, photovoltaic power generation, and electric vehicle energy demand. It emphasizes the importance of integrating renewable energy into the transportation sector to reduce greenhouse gas emissions and promote sustainability. Method: The research was based on obtaining load curves and photovoltaic generation in different climatic conditions. The energy available for charging electric vehicles was calculated, considering the limitations of the hybrid system. Different charging power configurations were studied. Results and Discussion: The results demonstrate the feasibility of recharging EVs with renewable energy and highlight the operational flexibility provided by storage systems. Different climate scenarios affect energy availability for charging, highlighting the importance of adaptive strategies. Research Implications: This research contributes to developing sustainable strategies in the transportation sector by providing insights into integrating electric vehicles and renewable energy. Practical implications include reducing carbon emissions and decreasing dependence on fossil fuels. Originality/Value: This study stands out for its specific analysis of EV charging strategies in a hybrid context, providing new approaches for the efficient use of renewable energy in transportation. The integration of storage systems and adaptation to climatic conditions are innovative aspects that add value to the research.

Projection of a winter ice-free Barents-Kara Sea by CMIP6 models with the CCHZ-DISO method

The winter sea ice over the Barents-Kara Sea (BKS) is reducing at an alarming rate, which impacts the Arctic shipping routes and the local ecosystems as well as the climate system across other regions. Consequently, it is imperative to project the winter ice-free state in this region to adequately prepare for future climate change and its impacts. However, most models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) show higher climatological values, weaker decreasing trends, and lower interannual variabilities in winter BKS sea ice concentration compared to observation. Additionally, it can be also seen that there exist great uncertainties in the projections of different models on whether the BKS region will be ice-free in future winters and the ice-free period, which spans almost the entire 21st century. Therefore, the study adopts two approaches developed from distance between indices of simulation and observation (DISO) method to project the winter ice-free period of the BKS under different emission scenarios. The results indicate that under SSP1–2.6, the winter BKS will not be ice-free by 2100. For SSP2–4.5, SSP3–7.0, and SSP5–8.5, the winter BKS is projected to be ice-free during 2076–2086, 2063–2068, and 2049–2061, respectively. By employing the DISO method, the projection uncertainty is reduced and the results highlight the urgency of reducing greenhouse gas emissions to delay the winter ice-free period over the BKS. These projections are intended to provide a reference for policymakers.

Greenhouse gas emissions and drivers of the global warming potential of vineyards under different irrigation and fertilizer management practices

In the context of global warming and low water and fertilizer utilization efficiency in vineyards, identifying the driving factors of global warming potential (GWP) and proper irrigation and fertilization management strategies are crucial for high grape yields and emission reduction. In this experiment, drip fertigation technology was used, including three irrigation levels (W3 (100% M, where M is the irrigation quota), W2 (75% M) and W1 (50% M)) and four fertilization levels (F3 (648 kg hm−2), F2 (486 kg hm−2), F1 (324 kg hm−2) and F0 (0 kg hm−2)). Traditional furrow irrigation and fertilization (CG) and rainfed (CK) treatments were used as control treatments. The results indicated that under the drip fertigation system, fertilization significantly increased the grape leaf chlorophyll relative content (SPAD) and leaf area index (LAI) within a fertilizer application of 0–486 kg hm−2. Irrigation primarily had a direct positive effect on the water-filled pore space (WFPS) in the 0–60 cm soil layer, and the residual soil nutrient content was mainly affected by fertilization. The vital stage for reducing greenhouse gas emissions was the fruit-inflating and fruit-rendering stages. The CG treatment not only failed to ensure high grape yield but also adversely affected the soil environment and the reduction of greenhouse gas emissions in the vineyard. Fertilization had a direct positive effect on the grape SPAD, LAI, yield, and soil residual nutrient content. GWP was primarily directly driven by SPAD, WFPS, and soil residual nutrient content, while grape yield was primarily directly driven by fertilization and SPAD. In conclusion, the W2F2 treatment (25 % reduced irrigation and 486 kg hm−2 of fertilization) of drip fertigation in the vineyard was the preferred irrigation and fertilizer management strategy for maintaining good vine vigor and balancing grape yield and environmental benefits.

Technical and Economica Feasibility of Photovoltaic Tiles Applies to a Single-Family Residence in Belo Horizonte-MG

Objective: The objective of this study is to verify whether photovoltaic tile technology presents technical and economic feasibility to be implemented in a single-family residence located in Belo Horizonte-MG. Theoretical framework: Through the photoelectric effect, photovoltaic tiles directly convert solar energy into electrical energy in a static, silent, non-polluting and renewable way. In this system, photons, energy-carrying particles present in sunlight, fall on a surface composed of photovoltaic cells (made of semiconductor material). At the ends of the semiconductor material, an electrical potential difference appears, responsible for setting the electrons in the structure in motion, producing electric current. Methodology: The methodology adopted for this research consists of simulating the energy consumption of a 77m2 residential building, consisting of 3 members. The tile and photovoltaic panel systems were designed to meet the energy demands of this building. Results and discussion: The results indicated that both systems present technical feasibility for their implementation, since the technologies demonstrated that they are capable of satisfying 100% of energy needs. However, from an economic point of view, only photovoltaic modules were viable. Originality/value: This work makes a contribution to the literature by analyzing a technology that is still little known in the energy market. Implications of the research: The relevance and value of this research are evidenced by the fact that photovoltaic tiles are a sustainable alternative to generate clean energy and reduce greenhouse gas emissions, which can contribute to the diversification of the Brazilian energy matrix and mitigation of impacts. of civil construction.

Electrochemical Ammonia Recovery from Manure Wastewater Integrated with Electrochemical Carbon Dioxide Reduction

There were 40 million cows in the US in 2020 which provide necessary protein-rich food and are integral to the US economy. However, . Currently manure is managed simply by storing and spreading to nearby cropland as a fertilizer to reuse nutrients. Given the high water content and low nutrient concentration of manure, effective approaches to recover nutrients from manure wastewater and reduce greenhouse gas emissions are needed. Our group has recently developed ammonia (potassium) recovery from manure wastewater and co-production of chemicals using nutrient-selective redox material1. I will report my progress toward developing a new electrochemical strategy to achieve integrated ammonium (and potassium) nutrient recovery from manure wastewater and simultaneous biogas upgrading by electrochemically reducing carbon dioxide to formate and other locally useful products. This project will effectively mitigate CO2 emissions in traditional manure processing and provide a sustainable strategy for resource recovery, distributed electrosynthesis of fertilizers and other value-added chemicals, paving the way to carbon-neutral agriculture. Wang, R., Yang, K., Wong, C. et al. Electrochemical ammonia recovery and co-production of chemicals from manure wastewater. Nat Sustain (2023). https://doi.org/10.1038/s41893-023-01252-z