Heating Degree Research Articles

Individual and Combined Effects of High-Temperature Stress at Booting and Flowering Stages on Rice Grain Yield

Extreme temperature events as a consequence of global climate change result in a significant decline in rice yield. A two year phytotron experiment was conducted using three temperature levels and two heating durations to compare the effects of heat stress at booting (BT), flowering (FL), and combined (BT + FL) stages on rice yield and yield components. Compared with T1 (Tmean of 27 °C), heat stress at BT + FL and BT stages produced more regenerated tillers and compensated more for yield loss than heat stress at FL. Heat stress at BT + FL stages alleviated spikelet sterility and yield loss of original tillers compared to heat stress at FL. The greater variation of yield per plant (YPP) under heat stress at flowering as compared to BT and BT + FL stages was accompanied by a higher decrease in spikelet fertility, while, at BT and BT + FL stages, spikelet number per plant and 1000-grain weight also contributed well to variation in yield. Furthermore, heat stress during BT and BT + FL stages caused a significant decline in spikelet fertility of the upper part of panicles, followed by middle and lower parts, while heat stress at the FL stage responded inversely. For every 1 °C day increase in heat degree days at BT, FL, and BT + FL stages, YPPO (only original tillers) declined by 2.9%, 2.5%, and 6.0%, and YPPT (including original + regenerated tillers) decreased by 5.8%, 2.7%, and 2.2%, respectively. The projected alleviation effects under BT + FL stages of heat stress in contrast to single-stage heat stress would help to accurately estimate rice yield under extreme temperature events, as well as to develop a heat-tolerant rice cultivar.

Tracking the dynamics of epoxy triglycerides during thermal oxidation by liquid chromatography-mass spectrometry

Epoxy triglycerides (ETGs) is a class of the most toxic component among the oxidized triglycerides (ox-TGs) in deep frying oil. To track the dynamics of ETGs during thermal oxidation, we developed an approach for qualitative analysis of ETGs by liquid chromatography-mass spectrometry (LC-MS). A total of 36 ETGs in thermal oxidized vegetable oil were identified as mono-ETGs, di-ETGs, tri-ETGs, hydroxyl-ETGs and aldehyde-ETGs by their characteristic fragmentations, such as precursor ions, diacylglycerols and oxidized mono-acylglycerol fragments. Furthermore, we evaluated the factors on the generation of ETGs. The results from vegetable oil system demonstrated that the total content of ETG was positively correlated with heating time, temperature and degree of unsaturation of oil (p < 0.05). Mono-ETGs in monounsaturated oil had an obvious increasing trend, while the proportion of hydroxyl-ETGs in polyunsaturated oil were much higher than other monomers. Taken together, our study suggested that ETGs could serve as the characteristic compounds to determine the degree of oxidation in vegetable oils.

Hourly air temperature projection in future urban area by coupling climate change and urban heat island effect

Global climate change and urban heat island (UHI) effect are changing the urban microclimate and ecosystem of building and outdoor environment. In this study, CMIP5 family, which was found to have the most consistent projection with the current worldwide observation till now, was chosen to evaluate climate change’s impact on urban climate. This research uses Principal Component Analysis and Gaussian Mixture Model based building type clustering method to obtain urban morphological data and input parameters of the UHI model, and the validated UHI model is then coupled to the projections from various global climate models (GCMs).It is found that future urban microclimate prediction after considering the UHI effect can significantly improve the prediction accuracy of air temperature when downscaling future weather data from various selected GCMs, indicating the UHI shall be considered in predicting future weather data in urban tissue. After using the best-fit climate change prediction model MRI-CGCM3 to couple with the UHI model, the projections of the heating degree days (HDD) and cooling degree days (CDD) of Shenzhen from 2020 to 2099 has shown that comparing with the typical meteorological year, the average HDD in Shenzhen will be reduced by 57.5% in 2020–2099 under the RCP8.5 scenario, and the CDD will increase by 25.1%, which will exert considerable impacts on building energy use in urban tissue.

Optimum insulation thickness design of exterior walls and overhauling cost to enhance the energy efficiency of Albanian's buildings stock

In the present climate, thermal insulation is crucial for reducing energy consumption for heating or cooling in buildings, increasing the lifespan of structures, and building elements, and improving human comfort. The wall's composition layer has advanced regularly since the building regulations and established norms. However, calculation methods have remained quite the same, governed by Fourier's law. Therefore, to address this gap, a linearization process, and a correction factor of the optimized insulation thickness for four different insulation materials (i.e., EPS Graphite, EPS, GW, and RW) and five energy carriers (i.e., electricity, diesel, natural gas, liquefied petroleum gas, and biomass) by removing the boundaries of heating degree days by using Mathcad software is proposed. Other financial parameters (i.e., inflation rate, interest rate, lifespan, and present worth factor) and heating system features that lead to the optimized insulation thickness are considered. The RETScreen Expert model was coupled with a Mathcad script to compute a standardized corrected optimized insulation thickness (COIT) value by applying sensitivity analyses at ±35% of the most influencing parameters to calculate the total overhauling cost for different building types in Albania. A correction of the existing window's heat transfer coefficient for a different glass-to-wall ratio is proposed. Our findings suggest that the overall heat transfer value (U) should be equal to or less than 0.30 (W/m2•K), leading to a range of corrected optimized insulation thickness (COIT) from 0.03 m up to 0.11 m. Moreover, results exhibited encouraging economic and environmental values concerning the unrenovated buildings leading to annual net savings of 23.50–84.50 €/m2, CO2 reduction up to 39.10 kgCO2/m2, and a simple payback period (SPP) of 0.30 maximum up to 1.20 years. The outputs of this study can bring benefits in terms of reduced energy consumption and CO2 footprint, and the proposed COIT value can be applied not only in Albania but in other regions that exhibit similar climate conditions.

Assessment of Outdoor Design Conditions on the Energy Performance of Cooling Systems in Future Climate Scenarios—A Case Study over Three Cities of Texas, Unites States

The excessive use of energy in buildings due to increased populations and economic development leads to more greenhouse gas emissions, which affect climate change and global warming. Changes in prevailing outdoor weather conditions significantly affect the energy systems of buildings through increased cooling and decreased heating. In this paper, 30 years of data of dry and wet bulb temperatures (1990–2020) with a time interval of 3 h were considered in order to estimate the climatic outdoor design conditions in the cities of Dallas–Fort Worth, Houston, and San Antonio in the state of Texas. The results suggest that the dry bulb temperature (DBT) had significantly higher increases in Dallas–Fort Worth (2.37 °C) than the wet bulb temperature (WBT) in Houston (4.1 °C) during the study period. Furthermore, this study analyzed the effects of climate change on cooling degree hours (CDH) and heating degree hours (HDH) and the results suggest the most significant drop in HDH in Dallas–Fort Worth with a maximum CDH fluctuation as compared to other two cities. The effect of climate change on the performance of cooling systems is also investigated in this study via direct evaporative coolers (DECs) and direct-indirect evaporative coolers (IDEC), which do not perform well in the selected cities. In contrast, absorption system (Abs) and vapor compression (VC) systems show an increase in the number of additional loads. The second part of this study is related to the future projection using the ARIMA model, which suggests that DBT would rise significantly in Houston (from 37.18 °C to 37.56 °C) and Dallas–Fort Worth (39.1 °C to 39.57 °C) while diminishing in San Antonio (from 34.81 °C to 33.95 °C) from 2020 to 2030. In contrast, WBT will experience an upward trend in Houston (from 36.06 °C to 37.71 °C) and Dallas–Fort Worth (from 31.32 °C to 31.38 °C) and a downward trend in San Antonio (from 32.43 °C to 31.97 °C) during 2020–2030. Additionally, the future performance prediction of Abs and VC systems is also performed, which reveals that the amount of additional load required is significantly higher in 2030 compared to 2020 and is more prominent in Houston. Conversely, amount of additional load required for cooling systems in San Antonio shows a decreasing trend in 2030.

Assessment of Occupant Adaptive Heating Behaviour in Office Buildings - A Pilot Field Study

Buildings are responsible for 39% of total global CO2 emissions worldwide, with 33% of energy consumption attributed to space heating in commercial buildings. Adaptive Heating Behaviour (AHB) of office users has a direct impact on energy use and depends on building characteristics which determine the heating load. This pilot field study focuses on the assessment of the AHB of office users of a recently retrofitted university building in Christchurch, New Zealand. AHB was reported by users during three consecutive days with a total heating degree days (HDD at 18°C) of 26.8. Indoor temperature and relative humidity were monitored during the study, and a qualitative analysis was performed to understand occupants’ behavioural patterns to maintain or recover thermal comfort in office settings. Participants were categorized according to (i) their reported thermal comfort issues at work, (ii) the adaptive responses they took to recover thermal comfort, and (iii) the effectiveness of such actions. The methods used in this pilot study to assess occupant AHB, were informative to future research on how to link environmental conditions to user behaviour in office settings, through the analysis of qualitative and quantitative data. Identifying patterns and triggers for AHB on a per-case basis is necessary, especially as AHB can significantly influence the building energy consumption.

Research on solidification behavior of a high Mn steel during continuous casting based on solidification characteristic unit analysis

A novel research route combining numerical simulation and physical simulation was used to study the solidification behavior of high Mn steel continuous casting billet under different superheats in this work. The results indicated that higher super heat degree will lead to lower equiaxed crystals content and severer element segregation. Moreover, the Mn element segregation was lighter than that of the C element, and it was caused by the higher value of solute partition coefficient of Mn. Finally, the superheat degree suitable for continuous casting of high Mn steel was modified to be 10 ℃.

The role of renewable energy sources in residential electricity prices: A club convergence analysis across selected European countries

ABSTRACT This research analyses the convergence of residential electricity prices in 22 European countries between 1995 and 2019. The findings reveal the existence of two sub-convergent clubs of residential electricity prices. Half of the countries studied belong to the club with higher residential electricity prices, while the other half belong to the lower-price club. Household income increases the probability of belonging to the club of lower residential electricity prices. An increase in heating degree days decreases the probability of belonging to the club of lower residential electricity prices. A similar effect is observed for the price of non-renewable energy sources used in electricity production. Further, although a country’s likelihood of belonging to the club of lower residential electricity prices diminishes with a rise in the share of renewable electricity production, the converse pattern is obtained at the residential level, such that residential renewable electricity share has a beneficial effect. Our findings suggest that households have benefitted in paying lower prices for renewable sourced electricity. Therefore, this research indicates that ongoing clean energy initiatives and the availability of affordable substitutes for conventionally generated electricity are being realized to a certain extent, improving electricity markets for the countries we analysed.

Potential energy savings benefits and limitations of radiative cooling coatings for U.S. residential buildings

Radiative coatings are a promising strategy to implement passive cooling that provides an eco-friendly pathway to achieve energy efficiency in buildings. This study investigates the benefits and limitations of implementing radiative coatings on the building envelope, particularly the roof, of residential buildings in the United States. The analysis compares the performance of an ideal radiative coating with broadband surface properties to a realistic radiative coating with diffuse and semitransparent properties. To enhance the net energy efficiency of buildings, we carried out a comprehensive parametric analysis comprising key radiation surface properties to maximize cooling energy savings while minimizing heating energy penalties. A countrywide assessment for 68 locations across the United States showed that net energy savings are a strong function of the climatic and atmospheric conditions. Broadly, southern locations showed high overall energy savings whereas northern locations exhibited high overall energy penalties. Locations in International Energy Conservation Code (IECC) climate zones 1A, 2A, and 2B showed a net annual energy savings above 5%, whereas locations in IECC climate zones 5B, 6B, and 7 showed a net annual energy penalty greater than 3%. The hot and dry climate of Phoenix, Arizona, showed the highest overall energy savings of 426 kWh (6.2%). Additionally, the mathematical correlation reveals that the net energy savings of a location is positive only when its average cooling degree days is greater than 5.5 or its average heating degree days is less than 10.

Heat flow modelling of the alkaline activation of fly ash with sodium hydroxide in the presence of portlandite

Alkali-activated cement is a promising alternative to replace totally or partially Portland cement. The heat flow and the degree of reaction are widely analyzed variables on the alkali-activation process. In this paper, a phenomenological-based semi-physical model of the alkali-activation process was developed. The model predicts the heat flow and the degree of reaction, by correlating the composition of the fly ash, the NaOH concentration (alkaline activator), the concentration of portlandite and curing temperature. The model considers balanced chemical reaction and the process diffusive phenomena. For validation microcalorimetric measurements at 25 °C and 35 °C was made, and secondly Freisleben-Hansen model was fitted with the experimental data. The results indicate a reaction acceleration for concentration of NaOH in (6–10) M and a reaction deceleration due to portlandite. The fly ash particle size and diffusivity-associated factors have an incidence of more than 5 % on the heat flow and degree of reaction.

Application of Exergy Analysis in Flue Gas Condensation Waste Heat Recovery System Evaluation

Flue gas condensation heat recovery technology has a good technical and economic performance in industrial exhaust gas waste heat recovery. Thermal efficiency analysis is the traditional analysis method for the flue gas condensation heat recovery system but it cannot reflect the recovered heat degree. Exergy analysis, which can reflect the recovered energy heat degree, was first applied to the evaluation of a flue gas condensation waste heat recovery system in this paper. The calculation method of wet flue gas exergy is more complex as both a heat and mass transfer is presented. Flue gas waste heat exergy efficiency (EE) and the flue gas waste heat exergy utilization rate (EUR) were proposed as the evaluation indexes for exergy analysis. The exergy analysis method was applied to the comparative evaluation of three recovery schemes in a practical project. The results show that when the water vapor content of wet flue gas is less than 10%, the condensed water exergy can be neglected when calculating EE. The EUR could be used as a comprehensive index for comparing different waste heat recovery schemes, and EE could be used to judge whether the energy grade of heat exchange equipment was seriously decreased. Exergy analysis could effectively make up for the deficiency of thermal efficiency analysis that could not reflect the waste heat grade utilization. Exergy analysis and thermal efficiency analysis are recommended to be used simultaneously to make a more comprehensive analysis and evaluation of the system.

Study of the degradability of polyethylene by catalyzing nanoparticles of zinc oxide

Polymer composite materials were manufactured as the base material made of low density ethylene using the thermal fusion method, the base material was supported using ZnO powder present in the Nano-form at a rate of (30-50) nm and in volumetric ratios by adding (5,10,15,20,25), Thermally treated models were treated Thermally manufactured takes three (3.6.9) and (40.60.80) degrees of heat. The models were subjected to a range of mechanical tests that included (surface solidity tests, shock resistance examinations), XRD x-ray scans and SEM (scanner electronic microscope) tests. The results showed that by grafting the materials in different proportions with nanomaterials, it was found that the optimum ratios that lead to the best case of improvement in mechanical properties were within 15%, and the treatment time had an effect on changing the mechanical properties shown by the manufactured models, Also the temperature had an effect on the mechanical properties of the manufactured composite material. As for the results of the X-ray spectrum for all models, a composite spectrum appears between crystalline materials and the spectrum of random matter, and the presence of sites in the spectrum that appear in the form of phases related to nanomaterials.

Identification of electrode short circuits during the electrolytic refining of copper based on heat radiation

This study is aimed at improving the efficiency of monitoring and automated control over the technological state of electrolytic cells during copper refining using the recognition and identification of short circuits between the electrodes. Experimental works were performed on a laboratory bench consisting of two cells connected in series to the electrical circuit. The method of detecting short circuits is based on measuring infrared radiation using a scanning thermal imager (Оptris PI 400i / PI 450i) for determining areas with elevated temperatures of electrode and electrolyte surfaces. A short-circuit detection algorithm was developed and tested in MATLAB environment using the Image Processing Toolbox MATLAB functions. The proposed method for recognizing and identifying short circuits between the electrodes of an electrolytic cell is based on using a scanning digital thermal imager. This method allows a comprehensive assessment of the contact area, determination of both the start time of a short circuit and the degree of electrode heating in the short-circuit zone, as well as establishment of temperature values in all areas, including the electrolyte temperature in the entire volume of the cell. An algorithm for searching for short-circuit locations in an electrolytic cell is proposed. This algorithm involves the collection of data and its comparison for adjusting the inter-electrode distance, ensuring a stable energy mode for the entire electrolytic line, and determining the exact position of each cathode in the cell using the threshold processing of infrared images obtained by a thermal imager. It was established that timely identification of short circuit locations in the electrolytic bath (since the onset of a contact between the electrodes), as well as recording of the growth rates of a dendritic coalescence area and electrolyte temperature, ensure timely elimination of technological disturbances during the operation of electrolytic baths. Thus, the developed method of short circuit identification for comprehensive determination and recognition of the technological state of an electrolytic cell during the electrolytic refining of copper can be used to reach a stable energy mode with minimum deviations in the process temperature.

Analysis of Pyrolysis Kinetic Parameters Based on Various Mathematical Models for More than Twenty Different Biomasses: A Review

Today, energy use is an important and urgent issue for economic development worldwide. It is expected that raw material in the form of biomass and lignocellulosic residues will become increasingly significant sources of sustainable energy in the future because they contain components such as cellulose, hemicellulose, lignin, and extractables with high energy-producing potential. It is then essential to determine the behavior of these materials during thermal degradation processes, such as pyrolysis (total or partial absence of air/oxygen). Pyrolyzed biomass and its residual fractions can be processed to produce important chemical products, such as hydrogen gas (H2). Thermogravimetric (TGA) analysis and its derivative, DTG, are analytical techniques used to determine weight loss as a function of temperature or time and associate changes with certain degradation and mass conversion processes in order to evaluate kinetic properties. Applying kinetic methods (mathematical models) to degradation processes permits obtaining several useful parameters for predicting the behavior of biomass during pyrolysis. Current differential (Friedman) and integral (Flynn–Wall–Ozawa, Kissinger–Akahira–Sunose, Starink, Popescu) models vary in their range of heating speeds (β) and degree of advance (α), but some (e.g., Kissinger’s) do not consider the behavior of α. This article analyzes the results of numerous kinetic studies using pyrolysis and based on thermogravimetric processes involving over 20 distinct biomasses. The main goal of those studies was to generate products with high added value, such as bio-char, methane, hydrogen, and biodiesel. This broad review identifies models and determines the potential of lignocellulosic materials for generating bioenergy cleanly and sustainably.

Heterogenous activation of dynamic recrystallization and twinning during friction stir processing of a Cu-4Nb alloy

An interplay between high degree of shear deformation and deformation-induced heating occurs during friction stir processing (FSP) of metals. In medium-to-low stacking fault energy Cu alloys, this can lead to a complex spatially heterogenous activation of dynamic recrystallization (DRX) and twinning mechanisms. Within the Cu-Nb system, the presence of Nb is further expected to influence the DRX mechanism of the Cu matrix. However, the microstructural changes induced by the co-deformation of Nb during FSP are still not well understood. Therefore, this study uses a combination of multimodal microstructural characterization, solution thermodynamics-based predictions, and computational crystal plasticity simulation to reveal the various microstructural evolution mechanisms that can occur during FSP of a Cu-4at%Nb binary model alloy. The formation of softer DRX zones, and harder shear localization regions are revealed using electron backscatter diffraction, transmission electron microscopy, atom probe tomography, and crystal plasticity modeling.

Surveying the elimination of hazardous heavy metal from the multi-component systems using various sorbents: a review.

In this review, several adsorbents were studied for the elimination of heavy metal ions from multi-component wastewaters. These utilized sorbents are mineral materials, microbes, waste materials, and polymers. It was attempted to probe the structure and chemistry characteristics such as surface morphology, main functional groups, participated elements, surface area, and the adsorbent charges by SEM, FTIR, EDX, and BET tests. The uptake efficiency for metal ions, reusability studies, isotherm models, and kinetic relations for recognizing the adsorbent potentials. Besides, the influential factors such as acidity, initial concentration, time, and heat degree were investigated for selecting the optimum operating conditions in each of the adsorbents. According to the results, polymers especially chitosan, have displayed a higher adsorption capacity relative to the other common adsorbents owing to the excellent surface area and more functional groups such as amine, hydroxyl, and carboxyl species. The high surface area generates the possible active sites for trapping the particles, and the more effective functional groups can complex more metal ions from the polluted water. Also, it was observed that the uptake capacity of each metal ion in the multi-component solutions was different because the ionic radii of each metal ion were different, which influence the competition of metal ions for filling the active sites. Finally, the reusability of the polymers was suitable, because they can use several cycles which proves the economic aspect of the polymers as the adsorbent.

The progress, impact analysis, challenges and new perceptions for electric power and energy sectors in the light of the COVID-19 pandemic

Understanding the COVID-19 crisis that arose in 2019 is a significant important case study to prepare scenarios and meet electrical energy consumption and high renewable energy production (REP), especially in the context of the power systems. Although many researchers have investigated the medical field and electric power sectors associated with the COVID-19 pandemic, critical factors affecting the development of the REP like electric demand, power system, electric markets, economy, and environment have are still not studied in great detail. In this perspective, this paper analyses the impact of the COVID-19 outbreak on the development of the REP, electrical energy consumption, power system maintenance, electric markets, energy demand, ongoing investment projects/investment plans, economy and renewable energy sectors. Estimation of energy demand based on cooling degree days (CDDs) and heating degree days (HDDs) methods has been examined and contrasted with the same period in prior years to observe electricity consumption Besides, climate change and energy efficiency or energy intensity related to the energy demand have been investigated and analysed before and following the pandemic. Some important energy statistical data is addressed and examined in detail. In addition to these, various critical factors such as driver and barrier forces affecting the REP has been discussed during lockdown restrictions of the COVID-19. These findings will help researchers and academicians to analyse the far-reaching implications of the COVID-19 outbreak on the energy demand and contribute to figuring out and plan higher renewables share scenarios and power system management issues.

Influence of thermal processing on the quality of hawthorn: Quality markers of heat-processed hawthorn.

Hawthorn and its derived products are used worldwide as foods as well as complementary medicine. During the preparation of hawthorn, heating and thermal processing are frequently reported. The thermal processing will change the medicinal purposes and modify the efficacy of hawthorn. However, details including the chemical profile shifting and quality markers of heat-processed hawthorn have not been well understood. In this study, we analyzed the hawthorn samples processed at different temperatures and different times by ultraviolet visible absorption spectrum and liquid-mass spectrometry technologies combined with multivariate statistical analysis. It was revealed for the first time that thermal processing could greatly change the ultraviolet-visible absorption spectra and chemical profiles of hawthorn even with heat treatment at 130°C for 10min. And the ultraviolet visible absorption spectrum, especially the ratio value (RA500nm/400nm ), was a descriptive and qualitative indicator of heating degree for the thermal processing at the macroscopic level. Several components, such as hyperoside, chlorogenic acid, quercetin, and apigenin, decreased or increased in content during the processing, and they could be utilized as the chemical quality markers. The proposed quality markers for heat-processed hawthorn will be helpful for further optimizing the processing conditions of hawthorn.

A Tool for Calculating the Building Insulation Thickness for Lowest CO2 Emissions—A Greenlandic Example

Increased insulation reduces the energy needed during operations, but this may be less than the energy required for the extra insulation material. If so, there must be an optimal insulation thickness. This paper describes the development of a tool to determine the optimal insulation thickness, including what parameters are decisive, and presents some results along with a discussion of the success criteria and limitations. To make these considerations manageable for regular practitioners, only the transmission heat loss through walls is calculated. Although the tool is universal, Greenland is used as an example, because of its extreme climatic conditions. The tool includes climate change, 10 locations and 8 insulation materials. It focuses on greenhouse gas emissions, considers oil and district heating as heating sources, and evaluates four different climate change scenarios expressed in terms of heating degree days. The system is sensitive to insulation materials with high CO2 emissions and heating sources with high emission factors. This is also the case where climate change has the highest impact on the insulation thickness. Using the basic criterion, emitting a minimum of CO2-eq, the Insulation Thickness Optimizer (ITO), generally identifies higher insulation thicknesses as optimal than are currently seen in practice and in most building regulations.

Therapeutic Application of Bhallatak (Semicarpus Anacardium) Oil on Kadar W.S.R. to Corn – A Case Report

Kadar has simple pathology but difficult to cure. Kadar is one such disorder that gives more trouble to the patient &amp; intervenes with routine work. Especially if it is on foot, pain is unbearable. Acharya Shushruta describes ‘Kadar’ under “Kshudra-roga”. In modern sciences it can be compared with corn. A Corn is formed due to repeated injuries and friction to the sole. It is a specially-shaped callus of dead skin that occurs on thin or glabrous surface of toe. It might be cause due to thorn prick, sand particles, unhygienic foot wear etc. Treatment for corn in modern sciences include anti-inflammatory, NSAID drugs, salicylic acid, corn cap, and at the end small surgery. There is no satisfactory and permanent modern medicine treatment for corn, doctors end up doing excision as small surgery still it has high recurrence tendency. Agnikarma (Thermal Cauterization) a unique para surgical procedure in Ayurveda practices, where specific degree of heat is given to a predetermined site of a body part with specialized instrument1 . The treatment is done usually on OPD basis. Acharya Shushruta advices cure for kadar, Utkrutya (excision/scrapping) followed by Sneha Dagdha (Agnikarma2 . But as per this case report, fresh Bhallatak (Semecarpus anacardium) oil’s therapeutic application without providing external heat gives better results than thermal cauterization/Agnikarma by other mediums. Therapeutic Application of oil from freshly cut Bhallatak nut seems to be the best treatment to prevent recurrences of Kadar. Its application procedure is painless and doesn’t burn moreover gives early relief, avoiding recurrence of corn