Energy Input Output Research Articles

Energy budget and economic analysis of modern and traditional wheat production systems in Kurdistan province of Iran

This study was conducted to analyze input-output energies and economic analysis of modern and traditional wheat production systems of Kurdistan province, Iran. Data were collected from 100 dryland and 100 irrigated wheat fields. The fields were selected randomly, and inquiries conducted in a face-to-face interview from May up to August next year. The results showed that total energy inputs, energy use efficiency, and specific energy were 49,956 MJ ha-1, 2.4, and 4.9 MJ kg-1 in modern irrigated wheat system, respectively, 19,064 MJ ha-1, 3.4, and 3.4 MJ kg-1 in traditional irrigated wheat system, 16,598 MJ ha-1, 1.7, and 6.7 MJ kg-1 in modern dryland wheat system, and 14,471 MJ ha-1, 1.99 and 5.75 MJ kg-1 in traditional dryland wheat system, respectively. The economic analysis revealed that the total cost of production and net return were 546.5 and 1,448.6 USD ha-1 in modern irrigated wheat, 206.4 and 844.7 USD ha-1 in traditional irrigated wheat, 230.5 and 237.6 USD ha-1 in modern dryland wheat and 185.2 and 266.1 USD ha-1 in traditional dryland wheat systems, respectively. The results of this study showed that the modern wheat production system uses more energy compared to that by the traditional wheat production system. Thus, the wheat producers are advised to adopt modern wheat production systems with some caution.

Recursive identification of kernel-based hammerstein model for online energy efficiency estimation of large-scale chemical plants

Accurate energy efficiency prediction is crucial for decision-making in large-scale chemical production, especially considering energy management and environmental concerns. The complexity of chemical processes, characterized by strong nonlinearities, dynamics, and uncertainties, challenges traditional prediction methods. This paper introduces KHSM (Kernel-based Hammerstein Subspace Model), which models nonlinear static and linear dynamic processes in series by embedding kernel function-based nonlinear mapping into subspace modeling for energy efficiency estimation. KHSM identifies nonlinear process models without explicit nonlinear mapping functions, constructing dynamic models that encompass both energy input and product output variables. An adaptive KHSM variant dynamically updates the energy efficiency model, improving accuracy by iteratively selecting and excluding samples. Comparative analysis shows KHSM outperforms existing methods, achieving a coefficient of determination (R2) closest to 1 and reducing the root-mean-square error (RMSE) by up to an order of magnitude, with the smallest mean and standard deviation. Additionally, modeling efficiency increases by an order of magnitude. The developed model enables ongoing energy efficiency estimation and proactive identification of efficiency trends. Validation through mathematical and real-world ethylene process cases demonstrates KHSM's efficacy and applicability. These estimates facilitate informed adjustments to energy management strategies and optimization of production approaches in energy-intensive chemical processes.

Two-stage robust optimization scheduling for integrated energy systems considering ammonia energy and waste heat utilization

To balance the stability and economic benefits of integrated energy systems (IES) during low-carbon optimization, this paper proposes a two-stage robust optimization scheduling method that considers ammonia energy and waste heat utilization. Firstly, this paper analyzes the Power-to-Ammonia (P2A) operational mechanism and the energy input–output transformation relationship and establishes a Power-to-Ammonia equipment model incorporating waste heat utilization. Subsequently, the low-carbon operational characteristics of the integrated energy system with cooperative operation between Power-to-Ammonia and coal-fired units are explored by integrating Power-to-Ammonia with ammonia-coal co-firing technology. Then, the paper uses an adjustable uncertainty set to describe the variability of renewable generation (RG) and constructs a max–min structured integrated energy system with a two-stage robust optimization scheduling model to minimize the worst-case scenario system operating costs. Finally, the Column-and-Constraint Generation (C&CG) algorithm decomposes the two-stage robust optimization issue into a master problem and sub-problems for the iterative solution. Furthermore, the proposed method is simulated in an actual integrated energy system in northern China. Simulation results indicate that with the intervention of renewable generation uncertainty, the model developed in this study reduces operating costs and carbon emissions by 13.98 % and 20.95 %, respectively, effectively enhancing the capability for low-carbon economic operation. This study provides crucial theoretical support for advancing the low-carbon energy conversion of integrated energy systems.

Energy transfer, conversion and mechanical regulation in graded piezoelectric semiconductor bipolar junction transistor

While the effective regulation of carrier redistribution in piezoelectric semiconductor devices by mechanical loads through piezoelectric polarized electric fields is well-studied, there is a scarcity of reported research on the influence of energy transfer and conversion characteristics in a non-thermal equilibrium state of these devices. This paper establishes a nonlinear multi-field coupling model for piezoelectric semiconductor graded bipolar junction transistor (PS-GBJT) and proposes a corresponding multi-gradient iterative algorithm. We regard the product of current and built-in electric field as the work done by electric field force on carriers. By incorporating the energy absorbed/released during carrier recombination/generation process, we observe that non-equilibrium carriers act as a medium that facilitates energy conversion between these two mechanisms. Additionally, the non-uniformly distributed doping extends the influence of space charge region throughout entire transistor. In terms of external input electrical energy, the emitter, base, and collector regions play roles of input energy, transfer energy, and output energy, respectively. The study concludes by demonstrating the regulation of energy transfer or conversion efficiency in emitter, base, and collector regions through mechanical loads, thereby altering the heating behavior of entire GBJT and reshaping its energy transfer path. This leads to the significant finding that distinct energy transfer paths fundamentally define the various operational states of GBJT. The novel insights gained from this research hold reference value for thermal design and energy management of electronic devices.

Performance enhancement of a vortex ring thruster by adopting the Coanda effect

A vortex ring thruster (VRT) is a propulsion device in which a piston pushes fluid and thrusts it in reaction. As the fluid inside a VRT is moving, the boundary layer near the wall at the edge of the exit surface of a VRT separates and rolls up into a vortex ring. In this paper, we performed performance analysis on a regular VRT and a VRT enhanced by the Coanda effect (hereafter referred to as a CoVoRT) on axisymmetric geometry. A CoVoRT consists of two jets: a primary jet and a Coanda jet. The primary jet has a relatively large volume flow rate compared to the Coanda jet, and the Coanda jet attracts the surrounding fluid by flowing along the curved surface at a relatively small flow rate. The present study evaluates the propulsion performance in two ways using SNUFOAM. This software was developed based on OpenFOAM, which is an open-source computational fluid dynamics (CFD) toolkit and specialized for naval hydrodynamics. The first one quantifies the propulsion performance by calculating the ratio of energy input and energy output generated by two jets during a stroke of the piston motion. The second one is to observe the evolution and pinch-off process of a vortex ring with formation time, which is a non-dimensional time scale. The comparison of propulsion performance was conducted with changes in the curvature of the Coanda jet, changes in the length of the Coanda jet exit, and changes in the Coanda jet velocity and piston stroke ratio. For quantitative evaluation of propulsion performance, the propulsion performance evaluation index (PPEI) was introduced. The results showed that the PPEI of a CoVoRT was improved by about 50% compared to that of a VRT, and it was confirmed that the dynamic characteristics of a CoVoRT’s vortex ring were superior to those of a VRT in terms of propulsion performance.

Energy use pattern in rose onion (<i>Allium</i> <i>cepa </i>L.) cultivation

A study was conducted to analyse the energy use pattern for cultivation and on farm processing of rose onion (Allium cepa L.). The energy auditing data was collected by stratified random sampling method using a face- to-face interaction at Sadali (Hobli), Sidlaghatta, Chikkaballapur, Karnataka. In this region, the energy utilized for different package of practices followed for rose onion cultivation by conventional practice are land preparation (5-tyne cultivator, 9-tyne cultivator and rotovator), sowing (broadcasting), thinning (manual), manure & fertilizer application (manual), plant protection {weeding (manual and chemical spray), chemical spraying (battery operated sprayer)}, irrigation (micro-irrigation), harvesting (manual) and detopping (manual). The energy use pattern for the above-mentioned various package of practices were found to be 4,207.95±37.21, 664.66±17.68, 53.31±2.68, 22,522.92±385.07, 2,534.40±155.55, 14,980.51±229.49, 807.74±20.80 and 1,571.75±42.77 MJ ha-1, respectively. The input energy, output energy and energy ratio were calculated as 47,343.23±484.65, 38,131.12±462.48 MJ ha-1 and 0.81±0.01, respectively. The energy intensive operation identified was manure and fertilizer application (fertilizer 46.80%; men 0.77%) both indirect and direct energy sources, followed by irrigation (electricity 31.09%; men 0.55%), land preparation (diesel 8.33%) and pesticide application (pesticide 4.53%). It is concluded that the fertilizer, electricity and diesel utilised in rose onion cultivation needs to be optimally minimised through management practices.

Energy use pattern in rose onion (<i>Allium</i> <i>cepa </i>L.) cultivation

A study was conducted to analyse the energy use pattern for cultivation and on farm processing of rose onion (Allium cepa L.). The energy auditing data was collected by stratified random sampling method using a face- to-face interaction at Sadali (Hobli), Sidlaghatta, Chikkaballapur, Karnataka. In this region, the energy utilized for different package of practices followed for rose onion cultivation by conventional practice are land preparation (5-tyne cultivator, 9-tyne cultivator and rotovator), sowing (broadcasting), thinning (manual), manure & fertilizer application (manual), plant protection {weeding (manual and chemical spray), chemical spraying (battery operated sprayer)}, irrigation (micro-irrigation), harvesting (manual) and detopping (manual). The energy use pattern for the above-mentioned various package of practices were found to be 4,207.95±37.21, 664.66±17.68, 53.31±2.68, 22,522.92±385.07, 2,534.40±155.55, 14,980.51±229.49, 807.74±20.80 and 1,571.75±42.77 MJ ha-1, respectively. The input energy, output energy and energy ratio were calculated as 47,343.23±484.65, 38,131.12±462.48 MJ ha-1 and 0.81±0.01, respectively. The energy intensive operation identified was manure and fertilizer application (fertilizer 46.80%; men 0.77%) both indirect and direct energy sources, followed by irrigation (electricity 31.09%; men 0.55%), land preparation (diesel 8.33%) and pesticide application (pesticide 4.53%). It is concluded that the fertilizer, electricity and diesel utilised in rose onion cultivation needs to be optimally minimised through management practices.

Analysis of energy input-output in direct seeded and transplantation cultivation of rice under different irrigation systems

Energy input-output assessment for crop production processes is becoming increasingly important due to increased energy demand. This study explored the energy consumption for puddled transplanted (PTR), un-puddled transplanted (UPTR), and direct-seeded rice (DSR) cultivation methods under sprinkler, flood and drip irrigation systems in Golestan province, Iran, during 2019 and 2020. The energy of inputs and outputs were calculated using energy equivalents. Then, using input energy values, the global warming potential (GWP) was determined based on the equivalent of carbon dioxide (CO2). According to the results, the highest amount of yield was obtained for permanent flood irrigation with PTR. The results of mean comparison of cultivation method showed that the highest and lowest amounts of energy input were obtained for PTR (32418 MJ/ha) and UPTR (28175 MJ/ha), respectively. Also, the amounts of indices of energy use efficiency (EUE), energy productivity (EP) and net energy (NE) in DSR were lower than transplanted treatments. The results of mean comparison showed that the lowest amount of GWP was related to UPTR. The results of this study showed that drip irrigation with UPTR cultivation (due to less energy input and a yield close to PTR) can be a technology to save water and energy.

On-farm energy input-output and economic analysis of important essential oil-bearing Mint species in subtropical India

Mint species are grown worldwide and known for their medicinal and aromatic properties however, studies on its energy assessment are very scarce. This study quantifies the energy input–output relationship of herbs and essential oil production of different mint species (M. arvensis, M. piperita, M. spicata, M. cardiaca and M. citrata) which were commercially grown in subtropical India. This study proposes for life cycle assessment and their effects on environment. The energy inputs and outputs were significantly varied with mints species. Results showed that mints essential oil production used more energy than herbs, and M. citrata utilizes the highest energy in both cases. Fire wood requirements for essential oil extraction accounts maximum (59.16 %) energy input. Mint herbs and essential oil yields were recorded higher in M. citrata (23.14 t ha−1), and M. arvensis (143.2 kg ha−1), respectively. Energy yields were estimated highest in M. cardiaca (herbs), and M. arvensis (essential oils), and required net calorific values were tested by automated advanced oxygen bomb calorimeter. Overall, M. arvensis showed the best results in energy production (0.07 kg MJ−1), profitability (0.27), net return (17156.40 MJ ha−1), and energy use efficacy (1.27) for mint herbs production. However, for essential oil production M. cardiaca performed well. This study revealed that mint herbs production was more energy efficient than essential oils extraction although essential oil production is fiscally secure.

Improvement of MEH-PPV performance for laser and optoelectronic applications

One of the most promising emissive conjugated polymers that has diverse applications is Poly[2-methoxy-5-(2-ethylhexyloxy)-1,4-phenylenevinylene] (MEH-PPV). The attractive attributes of this material are high quantum yield, light weight, strong absorption, possibility of depositing on flexible substrate and the use of low temperature. These attributes render this material to be used in various optoelectronics. However, MEH-PPV suffers from degradation and methods to overcome degradation for this material are of great interest. Here MEH-PPV has been used as an active laser material and it has been shown that sodium dodecyl sulfate is a very promising additive to overcome degradation for MEH-PPV laser. Optical properties (absorption coefficient, refractive index, and optical bandgap) of pristine MEH-PPV as well as a mixture of MEH-PPV and sodium dodecyl sulfate (SDS) dissolved in toluene have been reported. The addition of SDS stabilizer to MEH-PPV increases the refractive index and decreases the optical bandgap. Photoluminescence, input-output energy and photostability of both the pristine and mixture of MEH-PPV with SDS have been reported. Results show that the presence of SDS strongly improves the laser photostability of MEH-PPV. The evolution of the laser output energy reduces to 0.75 of its initial energy after 108,800 pulses in case of using SDS, whereas the output energy decreases to 0.75 of its initial energy after only 1400 pulses for the MEH-PPV pristine sample. Further, laser efficiency is also improved in the presence of SDS as it is 0.5% compared to 0.07% for pristine sample. The role of SDS stabilizer in improving laser performance of MEH-PPV has been discussed.

Can a new power system create more employment in China?

The transition from the coal-dominated power sector to the renewable energy-dominated new power system will inevitably result in significant social impacts. Taking China as the study case, we employed an integrated methodology combining the energy system optimization model, input‒output and structural path analysis, to explore the employment effects of the new power system, including the energy source, grid, load and storage. The results show that growth in solar power, wind power, energy storage and power transmission and distribution will have positive impacts on employment, while coal power shrinkage will result in negative impacts. Under new power system scenarios, renewable power can create additional 673–730 thousand jobs by 2030 and additional 2,431∼2,706 thousand jobs by 2060 compared with the business-as-usual scenario. However, jobs losses due to coal power shrinkage will reach 665–747 thousand jobs by 2030 and 3,127∼3,398 thousand jobs by 2060 compared with the business-as-usual scenario. In the meantime, power grid and energy storage can create additional 443–604 thousand jobs by 2030 and additional 2,138∼2,764 thousand jobs by 2060. Though the new power system will have positive employment impact in general, social justice should still be considered when there is an employment structure transition alongside the power structure shift.

Investigating greenhouse gas dispersions and energy consumptive in tea cultivation

Abstract: The study aimed to uncloak use efficiency of energy and greenhouse gas dispersions in tea cultivation. The study was performed in Rize Province of Türkiye in 2021. In the study, the energy input-output, specific energy, net energy, energy productivity, energy efficiency, types of energy input; greenhouse gas emission, and greenhouse gas emission rates were calculated. A proportional sample survey was used to assess the number of enterprises to be studied for survey and data studies, and face-to-face interviews were held in 2021 with 103 enterprises that could be reached. In the study, energy input was 25686.59 MJha-1, output of energy as 10633.04 MJha-1, efficiency of energy as 0.41, specific energy as 1.93 MJkg-1, productivity of energy as 0.52 kgMJ-1, net energy as -15053.55 MJha-1. 48.72% of all the inputs used in production consisted of human labor energy by 12513.35 MJha-1, 34.40% consisted of the energy of chemical fertilizers by 8835.67 MJha-1, 10.02% consisted of diesel fuel by 2573.37 MJha-1, 4.41% consisted of electricity by 1134 MJha-1, 2.22% consisted of machinery by 570.40 MJha-1 and 0.23% consisted of transportation by 59.81 MJha-1. 63.15% (16220 MJha-1) of the inputs consisted of direct 36.85% (9465.88 MJha-1) and consisted of indirect energy, 48.72% (12513.35 MJha-1) consisted of renewable energy and 51.28% (13173.24 MJha-1) consisted of non-renewable energy. Total greenhouse gas dispersion and greenhouse gas dispersion ratio have been respectively calculated as 551.82 kgCO2-eqha-1 and 0.04 kgCO2-eqkg-1.
 Keywords: Energy consumption; GHG dispersion; GHG ratio; Tea; Türkiye

Energy performance of compressed biomethane gas production from co-digestion of Salix and dairy manure: factoring differences between Salix varieties

Biogas from anaerobic digestion is a versatile energy carrier that can be upgraded to compressed biomethane gas (CBG) as a renewable and sustainable alternative to natural gas. Organic residues and energy crops are predicted to be major sources of bioenergy production in the future. Pre-treatment can reduce the recalcitrance of lignocellulosic energy crops such as Salix to anaerobic digestion, making it a potential biogas feedstock. This lignocellulosic material can be co-digested with animal manure, which has the complementary effect of increasing volumetric biogas yield. Salix varieties exhibit variations in yield, composition and biomethane potential values, which can have a significant effect on the overall biogas production system. This study assessed the impact of Salix varietal differences on the overall mass and energy balance of a co-digestion system using steam pre-treated Salix biomass and dairy manure (DaM) to produce CBG as the final product. Six commercial Salix varieties cultivated under unfertilised and fertilised conditions were compared. Energy and mass flows along this total process chain, comprising Salix cultivation, steam pre-treatment, biogas production and biogas upgrading to CBG, were evaluated. Two scenarios were considered: a base scenario without heat recovery and a scenario with heat recovery. The results showed that Salix variety had a significant effect on energy output–input ratio (R), with R values in the base scenario of 1.57–1.88 and in the heat recovery scenario of 2.36–2.94. In both scenarios, unfertilised var. Tordis was the best energy performer, while the fertilised var. Jorr was the worst. Based on this energy performance, Salix could be a feasible feedstock for co-digestion with DaM, although its R value was at the lower end of the range reported previously for energy crops.

Ecological utility analysis of the Australian economic sectors based on embodied energy

The uncontrolled socioeconomic development through substantial consumptions and transfers of materials, energy and other natural resources plays a significant effect on the deterioration of the ecological environment. How to quantify these consumptions and transfers has been a difficult issue and attracted many researchers from various disciplines. The purpose of this research aims to reveal the ecological utility of the Australian economic sectors based on embodied energy. The research commences with the development of embodied energy input–output tables of Australia and then adopts the ecological network analysis (ENA) principles combined with the hypothetical extraction method (HEM) to investigate the interaction of sectoral embodied energy the economic system. A utility value matrix is used to determine the ecological relationship from one sector to another, the degree of mutualism of the entire economic system and its synergism, and the importance of a sector in the economic system. The ecological relationships of all pairs of economic sectors revealed from this research can be used to describe the Australian economic system from the perspective of embodied energy. The long-term development interests of various industries in Australia can be balanced and adjusted according to the positive and negative ecological relationship. The influence of the specific structure on the industry is measured by the connectivity and diversity of the energy network.

A Novel Actor—Critic Motor Reinforcement Learning for Continuum Soft Robots

Reinforcement learning (RL) is explored for motor control of a novel pneumatic-driven soft robot modeled after continuum media with a varying density. This model complies with closed-form Lagrangian dynamics, which fulfills the fundamental structural property of passivity, among others. Then, the question arises of how to synthesize a passivity-based RL model to control the unknown continuum soft robot dynamics to exploit its input–output energy properties advantageously throughout a reward-based neural network controller. Thus, we propose a continuous-time Actor–Critic scheme for tracking tasks of the continuum 3D soft robot subject to Lipschitz disturbances. A reward-based temporal difference leads to learning with a novel discontinuous adaptive mechanism of Critic neural weights. Finally, the reward and integral of the Bellman error approximation reinforce the adaptive mechanism of Actor neural weights. Closed-loop stability is guaranteed in the sense of Lyapunov, which leads to local exponential convergence of tracking errors based on integral sliding modes. Notably, it is assumed that dynamics are unknown, yet the control is continuous and robust. A representative simulation study shows the effectiveness of our proposal for tracking tasks.

Quantifying the energy-material-pollution nexus in a typical fine chemical industry: A sustainable development-oriented support for collaborative emission reduction

The fine chemical industry is currently facing challenges in energy saving, material conservation, and pollution reduction due to the dual policy pressure of precise system management and collaborative pollution and carbon reduction. However, the interweaving of materials and energy input-output was not well understood due to the incomplete coverage and the lack of a generic framework. Therefore, a methodology based on the energy-material-pollution (E-M-P) coupling nexus was proposed to quantitatively assess multi-level coupling. According to the selected generic 32 coupling units, two representative glyphosate (PMG) production processes were taken as case studies. Quantification results showed that the solvent element and the material system had a higher priority. Moreover, Process 2 owned a greater optimization potential as the coupling relationship pairs were 2.55 compared to 2.32 for Process 1, and the correlation proportions of material systems reached 69.26 % and 56.92 %, respectively. In addition, assessment results indicated that Process 2 was more environmentally friendly because of the lower ecological indexes (9.7 GPt vs. 15.8 GPt) and weaker carbon footprint (CF) (1.16E+08 vs. 2.32E+08). Combined coupling nexus and environmental assessment organically, methanol had the most optimization potential and was beneficial for the measures such as solvent substitution. This work offered theory and practice guidance with demonstrative value to support the sustainable development of precise system management.

Evaluation of input-output energy use in strawberry production in single-span double-layered greenhouses with different thermal-curtain positions

Evaluation of input-output energy use in strawberry production in single-span double-layered greenhouses with different thermal-curtain positions

Quantifying the energy use efficiency and greenhouse gas emissions in Punjab (India) agriculture

It is inevitable to acknowledge the greenhouse gas emissions (GHGE)’s primary role in the planet's rising temperatures, which poses threat to ecosystem's sustainability. In India, a 18% of the total GHGE comes from agriculture. Agricultural systems, being complex, need highly efficient energy usage to ensure better yields, and hence, farmer income and food security. Within India, Punjab is the state with greatest agro-economic impact. Therefore, present study is an attempt to quantify the GHGE and energy use efficiency (EUE) in major crops (cotton, maize, paddy, wheat, and sugarcane) of Punjab based on 2019–2020 data. Results revealed that the direct energy and non-renewable energy contribution significantly exceeded the indirect energy and renewable energy, in all crops except sugarcane. Electricity and fertilizers were noted as key areas for energy sink for all crops studied. The specific energy based on economic yield was realized to be significantly higher in cotton (10.23 MJ Kg−1), followed by paddy (5.28 MJ Kg−1), and less than 5 MJ Kg−1 for other crops. High energy intensity indicates that there exists a better potential for further improvement in the energy productivity of cropping systems. In terms of total input-output energy, net energy gain and EUE, sugarcane was noted to be at the top, followed by paddy among other seasonal crops. Paddy was found to emit the highest CO2 eq. emissions (6718 kg CO2 eq. ha−1) of all crops and around 60% was contributed solely by methane (CH4) due to paddy cultivation in submerged water. Thus, optimizing fertilizer rates, precisely guided irrigation systems, adoption of resource conservation technologies (RCTs) i.e., DSR, Laser leveling, minimizing crop residue burning, and using them for energy supply are among best possible alternatives for improving EUE and reducing GHGE.

Ethylene Electrooxidation to 2-Chloroethanol in Acidic Seawater with Natural Chloride Participation.

Ethylene oxidation to oxygenates via electrocatalysis is practically promising because of less energy input and CO2 output compared with traditional thermal catalysis. However, current ethylene electrooxidation reaction (EOR) is limited to alkaline and neutral electrolytes to produce acetaldehyde and ethylene glycol, significantly limiting cell energy efficiency. Here, we report for the first time an EOR to 2-chloroethanol product in a strongly acidic environment with natural seawater as an electrolyte. We demonstrate a 2-chloroethanol Faradaic efficiency (FE) of ∼70% with a low electrical energy consumption of ∼1.52 × 10-3 kWh g-1 over a commercial Pd catalyst. We establish a mechanism to evidence that 2-chloroethanol is produced at low potentials via direct interaction of adsorbed chloride anions (*Cl) with ethylene reactant because of the high coverage of *Cl during reaction. Importantly, this differs from the accepted multiple step mechanism of subsequent chlorine oxidation and ethylene chlorination reactions at high potentials. With highly active Cl- participation, the production rate for 2-chloroethanol in acidic seawater is a high 26.3 g m-2 h-1 at 1.6 V operation. Significantly, we show that this is 223 times greater than that for ethylene glycol generation in acidic freshwater. We demonstrate chloride-participated EOR in a proton exchange membrane electrolyzer that exhibits a 68% FE for 2-chloroethanol at 2.2 V operation in acidic seawater. This new understanding can be used for designing selective anode oxidation reactions in seawater under mild conditions.

Analysis of Energy Use Efficiency and Greenhouse Gas Emissions of Lemon (Citrus lemonL.) Production in Turkey.

The purpose of this study was to determine the energy use efficiency and greenhouse gas emissions of lemon production. It was performed during the 2019-2020 production period in Turkey. The agricultural inputs and outputs used in lemon production were calculated to determine the energy use efficiency and greenhouse gas emissions. According to study findings, the energy inputs in lemon production were calculated respectively as 16,046.98 MJha-1 (55.43%) chemical fertilizers energy, 4168.93 MJha-1 (14.40%) chemicals energy, 2815.20 MJha-1 (9.72%) electricity energy, 2740.42 MJha-1 (9.47%) diesel fuel energy, 1864.80 MJha-1 (6.44%) irrigation water energy, 705.67 MJha-1 (2.44%) machinery energy and 610.20 MJha-1 (2.11%) human labour energy. Total input energy and output energy were calculated as 28,952.20 MJha-1 and 60,165.40 MJha-1, respectively. Energy use efficiency, specific energy, energy productivity and net energy values were calculated respectively as 2.08, 0.91 MJkg-1, 1.09 kgMJ-1 and 31,213.20 MJha-1. The consumed total energy inputs in lemon production can be categorized as 27.74% direct, 72.26% indirect, 8.55% renewable and 91.45% non-renewable. Total greenhouse gas emissions were calculated as 2650.96 kgCO2‑eqha-1 for lemon production, with the greatest share for nitrogen 950.62 kgCO2‑eqha-1 (35.86%). Based on the study findings, it was concluded that lemon production in 2019-2020 production season was profitable in terms of energy use efficiency (2.08). Greenhouse gas emission ratio (per kg) was calculated as 0.08. This study is important since there is no study on the energy balance and greenhouse gas emissions in lemon production in Muğla province, Turkey.