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Öğe Bir soğuk hava deposunda farklı menfez kanat açılarına göre hava dağılımının hesaplamalı akışkanlar dinamiği ile tahmini(2016) Akdemir, SerapAraştırmada; soğuk depo içerisinde hava dağılımını sağlayan menfezlerin kanat açıları 0º-0º-0º, 0º-0º45º ve 0º-22.5º-45º olarak kurgulanmış ve elma dolu depo için sıcaklık, hava hızı ve bağıl nemindağılımı hesaplamalı akışkanlar dinamiği (CFD) yöntemleri kullanılarak modellenmiştir. CFDmodellerden elde edilen veriler farklı kanat açılarının ortam koşullarının depoda yersel değişkenliğiüzerindeki etkisini karşılaştırmak için kullanılmıştır. Senaryo 1 (0º-0º-0º)için dolu depoda yapılan menfez kanat açısı modelleme değerlendirmelerinde sıcaklıklar 1.85 ºC ile 2.01 ºC arasında değişirken Senaryo 2 (0º-0º-45º)ve Senaryo 3'de (0º-22.5º-45º) kanat açıları sıcaklıkları 1.85ºC ile 1.95ºC arasında görülmüştür. Hava hızının modellenmesi için sınır şartı, belirlenen senaryolara göre 1.525 m/sile 3.99 m/s arasında seçilmiştir. Belirlenen bütün senaryolar için depo içerisindeki hava hızı modeldeğerleri 0.03 m/s ile 0.12 m/s arasında değişkenlik göstermiştir. Modellemede bağıl nem sınır şartı%88 olarak belirlenmiştir. Orta düzlemden alınan bağıl nem model değerleri bütün kanat açıları için %87 ile %88 arasında değişmiştir. Araştırmada menfez kanat açılarının CFD modelleri ile elde edilensonuçlar dikkate alındığında; soğuk depolama açısından 0º-0º-45ºile 0º-22.5º-45º kanat açıları modelleri istenen değerlere daha yakın çıkmıştır. Hesaplamalı akışkanlar dinamiği ile 3 farklı kanat açısının ortamkoşullarının değişimi üzerindeki etkisinin araştırıldığı bu çalışmanın sonucuna göreSenaryo 2 (0º-0º45º) ve Senaryo 3 (0º-22.5º-45º) deki menfez açılarının sonuçları elma depolamada gereksinim duyulansıcaklık, hava hızı ve bağıl nem değerlerine Senaryo 1 (0º-0º-0º)'den daha yakın olduğu için önerilmektedirÖğe Bir Traktör Kabininde Ortam Şartlarının Yaz koşullarında HAD ile Belirlenmesi(Namık Kemal Üniversitesi, Ziraat Fakültesi, 2016) Akdemir, Serap; Öztürk, Serhat; Ülger, PoyrazBu araştırmada, yaz koşullarında traktör kabini içinde sıcaklık ve hava hızı dağılımı, Hesaplamalı Akışkanlar Dinamiği (HAD) kullanılarak modellenmiş ve sensör ölçümleri ile karşılaştırılmıştır. Araştırmada materyal olarak kabinli bir traktör, Testo R1-177H1 sıcaklık ve bağıl nem sensörleri, Testo 435 hava hızı ölçüm sensörü kullanılmıştır. Ortam koşullarının dağılım modellerinin tahmini için Ansys Fluent programı kullanılmıştır. HAD modellemede oluşturulan ağ yapısında eleman sayısı 1074644'dür. Ağ tipleri prizmatik ve hegzagonaldir. Motor yüzeyi ve insan vücudundan ısı akısı vardır. Ayrıca, konveksiyon ve radyasyon ısı transferi olduğu HAD modelde kabul edilmiştir. Ölçümler maksimum dış ortam sıcaklığı 46.4°C alınarak ve kabin içinde sürücü varken laboratuvar koşullarında gerçekleştirilmiştir. Ölçülen ve modelden elde edilen sıcaklık ortalamaları sırasıyla 12.4°C ve 15.9°C'dir. Ölçüm ve model arasındaki ortalama fark 3.5°C'dir. Sıcaklık için HAD modelin ölçüm değerlerine yakınsaması %28.2 olmuştur. Hava hızı değerlerinde ise ölçülen ve modelden elde edilen ortalamalar sırasıyla 7.3 m/s ve 7.6 m/s olarak belirlenmiştir. Ölçüm ve model değerleri arasındaki ortalama fark ise 0.3 m/s olmuştur. Model tahmini %4.1 olarak bulunmuştur.Öğe CFD Modelling and Validation of Ambient Factors in Evaporative Cold Store for Peach Storage(Plapiqui, 2022) Akdemir, SerapSpatial variation of temperature and relative humidity were estimated with Computational Fluid Dynamics (CFD) at top, middle and base levels for peach storage at +1oC and 90% relative humidity and verified with measured data in a cold store with evaporative cooling system. Ansys Fluent Software was used for CFD modelling. CFD models were vali-dated with sensors measurements. Results were eval-uated by using descriptive statistics, relative error and variance analyses. Relative error of the CFD model was calculated as 9.77 for the ambient temper-ature and 1.29 for relative humidity for peach storage. The developed CFD models estimated the ambient factors with an acceptable error in the evaporative cold store for peach storage. © 2022,Latin American Applied Research. All Rights Reserved.Öğe CFD Modelling of Two Different Cold Stores Ambient Factors(Elsevier Science Bv, 2013) Akdemir, Serap; Öztürk, Serhat; Edis, Firat Oguz; Bal, ErdinçObjective of the research was to determine ambient temperature and relative humidity distributions of two different cold stores which have two different cooling systems. One of the cold store which is called as Cold store-I, has classical cooling system such as compressor, condenser and evaporator. Second called Cold store-II, has air conditioning system for cooling, cold air ventilation and aspiration systems, and humidification system. Computational fluid dynamics was used for modelling of distribution of temperature and relative humidity of cold store walls. Storage temperature and relative humidity were assumed 2 degrees C and 90%, respectively. Boundary conditions were set as; Inlet-Surface of fluid inlet, Outlet-Surface of fluid outlet, and walls-solid, proof against flow of fluid. A tetrahedral mesh was created by using ANSYS 14.0 and calculation finished when accessing a solution. Turbulence was modelled using the k-( k-epsilon). Spatial distribution in two cold stores for two different cooling systems were modelled and evaluated in this research. Data determined from CFD models were compared for both cold stores. Cold store-II was better than Cold store-I because it has air distribution holes located on ceiling. (C) 2013 Published by Elsevier B.V.Öğe Design, Construction and Testing of a Cold Store With Water-Cooled Chiller(Plapiqui, 2022) Akdemir, SerapObjective of this research was to de-sign, construction and test of a cold store with chiller unit. Dimensions of the cold store were 5x4x3m. Heat load was calculated and capacity of cooling system was determined. Ambient temperature was set 2°C and relative humidity 90% for cold store testing. Am-bient temperature, relative humidity and air velocity were measured for 3 different levels and 12 points for each level in the cold store. Total heat load and capac-ity of cooling system were calculated 6264 kcal/h (7.284 kW). The descriptive statistics were calculated for the ambient temperature; mean, 2.82°C, standard deviation 0.02°C and CV (%) 0.56, and for the rela-tive humidity; mean 88.01%, standard deviation 0.61 (%) and CV(%) 0.70 and for the air velocity mean 0.37m/s, standard deviation 0.22 m/s, CV 33.45 %. Even the air velocity CV was high, the ambient tem-perature and relative humidity variations were eval-uated very good © 2022, Latin American Applied Research. All Rights Reserved.Öğe Designing of cold stores and choosing of cooling system elements(Asian Network for Scientific Information, 2008) Akdemir, SerapIn this study, calculation of cooling load and choosing of the cooling system elements such as compressor, condenser and evaporator were explained for designing of the cold storage. Transmission heat (q1), infiltration heat (q2), product heat (q3), heat of other sources (q4) and unknown and unexpected heat (q5) which is components of the cooling load were calculated. In addition, amount of the cooling fluid was calculated and choosing of the compressor, the condenser and the evaporator were explained. © 2008 Asian Network for Scientific Information.Öğe Determination of Energy Balance in Grape Production for Wine in Thrace Region(Springer, 2022) Akdemir, SerapThe purpose of this research was to determine energy usage productivity in grape production for wine in the Thrace region of Turkey. Questionnaires were given to farmers to determine agricultural production inputs such as fertilizers, pesticides, agricultural machinery, and time and fuel consumption, as well as yield. Energy equivalents of the production inputs and yield were calculated to establish an energy budget for grapevine production. According to the results, the energy rate was calculated to be 9.72. Net energy was 105,855.37 MJ ha(-1). Specific energy and energy productivity were 0.10 MJ kg(-1) and 0.82 kg MJ(-1), respectively. Direct energy and its share were calculated to be 3936.05 MJ ha(-1) and 32.41%, respectively. Indirect energy and its share of the total energy budget were 8208.58 MJ ha(-1) and 67.59%. Renewable energy was calculated to be 743.27 MJ ha(-1), representing 6.12% of wine grape production. Renewable energy use was low because the agricultural inputs used in all stages of production were almost fully based on nonrenewable energy, which was 11,401.36 MJ ha(-1), representing 93.88%. The share of chemical fertilizer was 32.40% of the total energy budget, followed by diesel (26.29%) and pesticides (24.44%). Fungicides were used mainly to protect vineyards. Agricultural machinery was generally used for soil tillage and for chemical fertilizer and pesticide application. Fuel consumption for soil tillage (81.48%) accounted for a large proportion of total fuel consumption. Human labor was used for pruning, removal of leaves and branches, harvesting, and packaging. Future work should focus on improving vineyard mechanization and preventing overfertilization and pesticide use in vineyards.Öğe Determination of Variability in Ambient Conditions During Cold Storage of Aronia Fruits(Univ Namik Kemal, 2022) Akdemir, SerapIn this research, temperature and relative humidity in a cold store with an evaporative cooling system were investigated during one-month cold storage of Aronia melanocarpa Nero fruits. Ambient temperature and relative humidity were measured by sensors at 36 points for different levels (top, medium and base level). The research was carried out in accordance with the randomized plot design for the purpose of storing Aronia melanocarpa in a cold store at +3 degrees C for 1 month. The results were evaluated by using variance analyses and descriptive statistics. In addition, spatial variability maps were created for evaluating of temperature and relative humidity variation at different levels. Variation of the temperature was determined between 3.40 degrees C and 5.32 degrees C for top level, 3.80 degrees C and 5.49 degrees C for middle level and 3.92 degrees C and 5.51 degrees C for base level at 3 degrees C storage temperature. Coefficient of variations was determined as 11.47% for top level, 11.48% for middle level and 7.10% for bottom level for temperature. The relative humidity values were changed between 74.00% and 88.09%. Mean coefficient of variation of the relative humidity varied between 3.22% and 4.43%. According to the results; distributions of the temperature and relative humidity for different levels were not uniform. Reason of high variability between measurement of the temperature and the relative humidity for different levels in the cold store was the distribution of the cold air. The cold air was ventilated by an evaporator and distributed according to the design of the cold store (dimensions, shape, and materials) and placement of fruit cases. Different storage conditions were determined at different levels in the cold store during storage of Aronia fruits in this research. In addition, there is generally one temperature/relative humidity sensor located back of the door inside the cold store used to control the cooling system. Measurement of the temperature and relative humidity from one point in a cold store is not enough to give an idea about the ambient conditions of the cold store. When storing agricultural products, the use of more temperature/relative humidity sensors in the cold store will enable the actual situation of the temperature and relative humidity values to be taken into account to control the operation of the cooling system. Additional cold air distribution systems such as ventilator, air curtains and placement of fruit cases may help to improve air distribution and decrease the spatial variability of the storage conditions in the cold store.Öğe Developing pneumatic control for a manual electrical resistance spot welding machine(2010) Dalmış, İbrahim Savaş; Babacan, Atilla; Cengiz, Sinan; Akdemir, Serap; Kayişo?lu, BirolBu çalışmada; tarım makineleri imalatında kullanılan, manüel kontrollü elektrik direnç nokta kaynak makinesi, yeniden revize edilerek otomasyona uygun hale getirilmiştir. Sistemin dönüştürülmesinde pnömatik devre elemanlarından yararlanılmıştır. Sistemde istenilen basınç ve kaynak periyodu ayarlanabilmektedir. Revize edilen makine ile 2 mm kalınlığındaki St37 sac malzemeden hazırlanan test parçaları, 6 bar basınçta, 4 sn'lik kaynak periyodunda ve 8 kVA görünür güç uygulanarak birleştirilmiştir. İkinci uygulamada ise aynı özelliklerdeki test parçalan tecrübeli bir kaynak teknisyeni tarafından manüel olarak birleştirilmiştir. Araştırmada her iki uygulama için, kaynak bölgesine çekme-makaslama testleri ve soyulma direnci testleri yapılarak karşılaştırılmıştır. Sonuçlar incelendiğinde makinenin istenilen şekilde çalıştığı saptanmıştır. Sistem de uygulanan akım, gerilim ve kaynak basıncı sabit tutulduğu için gerçekleştirilen birleştirmelerde ölçülen çekme-makaslama ve çekme-soyulma dirençlerinde büyük farklılıklar ölçülmemiştir. Kaynak yöntemi, çekme-makaslama ve çekme-soyulma dirençleri arasındaki ilişki önemli bulunmuştur. Anahtar kelimeler: Elektrik direnç nokta kaynağı, pnömatik, kaynak bölgesi, çekme-soyulma testi, basınçÖğe Effect of the Ambient Factors in Boxes and Cold Store on Quality of Stored Peach(Springer Science and Business Media Deutschland GmbH, 2022) Akdemir, Serap; Bal, ErdinçObjective of this study was to determine the impact of differences observed in ambient temperature and relative humidity for peach boxes in cold storage. The study was implemented in an experimental cold store with a chiller unit. Cooling system was adjusted at +1?oC with 90% of relative humidity. Changes of ambient factors inside of the boxes and in the cold store for different levels were measured. Differences between ambient factors of the cold store and plastic storage boxes were compared. ‘Glohaven’ peaches (Prunus persica L. Batch) were cold stored for 4 weeks. Quality parameters of the peaches were determined for different levels per week during storage period. According to the results, there was no important difference between ambient factors for the cold store and inside of the storage boxes. The cold store with chiller cooling system worked successfully and distribution of the storage temperature and the relative humidity in the cold store and inside the storage boxes was almost homogeny. Fruit firmness, soluble solid content, titratable acidity, pH values, respiration rate, changes on the starch and its impact on the flavour were found to be significantly meaningful. However, its effects on the quality criteria on top, medium and base levels inside the store were considered statistically insignificant. The measurement results showed that there were some differences among various levels with regards to storage conditions though they had no significant negative effect on quality criteria. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature.Öğe Effect of Two Different Cooling Systems on Quality of Cold Stored Peaches(Scibulcom Ltd, 2018) Akdemir, Serap; Bal, ErdinçThe purpose of this study is to store cold-storage sensitive peaches cv. Glohaven in two different cooling systems and determine the quality parameter changes that occur during storage. One of this storage had evaporative cooling called as VRI and the other had chiller cooling system called as NKU. Ambient temperature was set to +1 degrees C and relative humidity set to 90%. Weight loss, fruit firmness, soluble solid, titratable acidity, pH, respiration rate, skin colour and taste were investigated on samples taken from 3 different levels (lower, mid and upper levels) in storage rooms. There were no significant differences between the levels, depending on the quality criteria examined. The differences in quality parameter according to storage time and levels can be attributed to the fact that the peach fruit is a climacteric fruit and the samples have different maturity grades. Weight losses in the fruits inside the NKU cold storage were relatively less than VRI cold storage. Temperature and humidity fluctuations at low levels within the cold store were reflected in some of the quality characteristics examined, but some criteria did not not affect at all. The cold store affected on taste changes as more positive in NKU cold store.Öğe Effects of Row Spacing on Growth, Yield and Quality Parameters of Sweet Sorghum(2017) Cavalaris, Chris; Merkourıs, Odisseas; Karamoutis, Christos; Akdemir, Serap; Mamma, Diomi; Kekos, Dimitrios; Gemtos, TheofanisA two-year field experiment was conducted in Thessaly, Central Greece, in order to evaluate the effect of row spacing on several growth and yield parameters of sweet sorghum. In particular, two row spacings were tested: wide row spacing (WRS) at 0.75m and narrow row spacing (NRS) at 0.375m. During the growing period, crop growth in terms of plants' emergence, plants' height, panicle appearance, while stalk sugar content, dry biomass and total sugar yield were also evaluated. In addition, plant material was analysed to assess the potential effects of the treatments on stalk quality. The results showed that with the appropriate cultural practices, sweet sorghum can yield over 40 Mg ha-1 of dry matter and over 18 Mg ha-1 of total sugar yield under Greek conditions. Narrow row spacing resulted to higher plant population and productivity in terms of dry matter and total sugar yield (61% and 37% increase, respectively) in the first year, but without any statistical significant difference compared to the wide spacing in the second year. The compositional analysis of the crop samples revealed significant effects of row spacing on water soluble matter, cellulose and hemi-cellulose content revealing a beneficial effect of narrow row spacing on the quality and consequently ethanol production.Öğe Elma Depolamada Kasa İçi Ortam Koşullarının Hesaplamalı Akışkanlar Dinamiği ile Modellenmesi(Namık Kemal Üniversitesi, Ziraat Fakültesi, 2014) Akdemir, Serap; Bal, ErdinçBu araştırmanın amacı; soğuk depo sıcaklık ve bağıl nemindeki farklılıkların kasa içinde ortam özellikleri üzerindeki etkisini saptamaktır. Araştırmada deneysel bir soğuk depoda elma depolanmıştır. Sıcaklık ve bağıl nem, farklı seviyelerdeki kasalar içinde ölçülmüştür. Ayrıca kasa içindeki ortam özelliklerinin konuma göre değişimi hesaplamalı akışkanlar dinamiği ile modellenmiştir. Modellerin geçerliliği ölçüm sonuçları ile karşılaştırılmıştır. Ürün kalitesindeki değişimler belirlenmiştir. Soğutma sistemi +2oC’ye ve % 90 bağıl neme ayarlanmıştır. Model %5.68 hata ile sıcaklık ölçüm sonuçlarını ve % 3.23 hata ile bağıl nem ölçüm sonuçlarını tahmin etmiştir. Depo içinde alt, orta ve üst seviyelerin kalite kriterleri üzerindeki etkisi istatistiksel açıdan farklı bulunmamıştır. Ölçüm sonuçlarından da görüleceği gibi, sıcaklık ve bağıl nem açısından alt, orta ve üst seviyelerde farklılıklar olmasına rağmen, bu durum kalite kriterleri üzerinde olumsuz etki yaratmamıştır.Öğe Energy balance of silage maize irrigated by drip irrigation in thrace region of turkey(Scibulcom Ltd., 2020) Akdemir, SerapSilage maize production was evaluated for energy cost, energy efficiency and net energy in this study. The silage maize was irrigated with drip irrigation. Mechanisation, amount and type of inputs and output were determined from Turkish Ministry of Food and Agriculture and questionnaires carried out with 4 farms in Thrace Region, Turkey. Amounts of the energy per area used for silage maize production were calculated from energy equivalents. In addition, energy efficiency and net energy value were calculated for different energy equivalents of silage maize. Energy efficiency and net energy were calculated 20.2 and 745 034 MJ ha–1 for silage consist of 25% grain (energy equivalent 14.70 MJ kg–1), respectively. Energy efficiency and net energy were determined for different energy equivalent of silage maize. Energy efficiency was found as 19.4 and net energy 712 317.4 MJ ha–1 for 12.95 MJ kg–1, 425217.4 MJ ha–1 for 8.0 MJ kg–1, and 280 217.4 MJ ha–1 for 5.50 MJ kg–1. Specific energy and energy productivity were determined 0.7 MJ kg–1 and 1.5 kg MJ–1 for silage maize. Direct energy was 8887.75 MJ ha–1 and 22.92%, indirect energy 29 894.84 MJ ha–1 and 77.08% in total input energy. Renewable energy was so small as 142.07 MJ ha–1 and 0.37% and non-renewable energy 38 640.53 MJ ha–1 and 99.63% in total input energy. © 2020, Scibulcom Ltd.. All rights reserved.Öğe ENERGY BALANCE OF SILAGE MAIZE IRRIGATED BY DRIP IRRIGATION IN THRACE REGION OF TURKEY(Scibulcom Ltd, 2020) Akdemir, SerapSilage maize production was evaluated for energy cost, energy efficiency and net energy in this study. The silage maize was irrigated with drip irrigation. Mechanisation, amount and type of inputs and output were determined from Turkish Ministry of Food and Agriculture and questionnaires carried out with 4 farms in Thrace Region, Turkey. Amounts of the energy per area used for silage maize production were calculated from energy equivalents. In addition, energy efficiency and net energy value were calculated for different energy equivalents of silage maize. Energy efficiency and net energy were calculated 20.2 and 745 034 MJ ha(-1) for silage consist of 25% grain (energy equivalent 14.70 MJ kg(-1)), respectively. Energy efficiency and net energy were determined for different energy equivalent of silage maize. Energy efficiency was found as 19.4 and net energy 712 317.4 MJ ha(-1) for 12.95 MJ kg(-1), 425217.4 MJ ha(-1) for 8.0 MJ kg(-1), and 280 217.4 MJ ha(-1) for 5.50 MJ kg(-1). Specific energy and energy productivity were determined 0.7 MJ kg(-1) and 1.5 kg MJ(-1) for silage maize. Direct energy was 8887.75 MJ ha(-1) and 22.92%, indirect energy 29 894.84 MJ ha(-1) and 77.08% in total input energy. Renewable energy was so small as 142.07 MJ ha-1 and 0.37% and non-renewable energy 38 640.53 MJ ha(-1) and 99.63% in total input energy.Öğe Energy balance of sunflower production(Eesti Pollumajandusulikool, 2017) Akdemir, Serap; Cavalaris, Chris; Gemtos, T.The aim of the present study was to make an energy analysis of sunflower crop in the Trakya Region of Turkey, to evaluate the potential for using it as bioenergy source. Actual data for the common cropping practices applied in the region were collected with questionnaires given to the farmers. Literature data were used to obtain necessary energy indices. The collected information was used to establish energy budgets. Two alternative scenarios were examined: 1st- using only the seed for biofuel production and 2nd -using the seed for biofuel and the stalks as biomass for bioenergy. The results showed that sunflower presented positive energy balance for both cases. Net energy was 35,334 MJ ha-1 when only the seed was taken into account and 87,308 MJ ha-1 for both seed and stalks. Energy efficiency was 3.67 and 7.34 respectively. Fertilization was the most energy intensive input (6,594 MJ ha-1) accounting for 48–50% of the total inputs. Tillage was the second most energy intensive input (3,595 MJ ha-1) accounting for 26–27% of total inputs. There were 6 different tillage operations such as ploughing, 4 machinery passages for seedbed preparation and hoeing in the sunflower production. All these operations increased energy inputs of the tillage. The total energy inputs were relatively low because it was possible to achieve high yields without irrigation. © 2017, Eesti Pollumajandusulikool. All rights reserved.Öğe Energy Consumption of An Experimental Cold Storage(Scientific Issues Natl Centre Agrarian Sciences, 2012) Akdemir, SerapEnergy consumption of an experimental cold storage Was measured for different storage temperatures. Suction temperature and pressure temperature of the compressor and working time of the compressor were determined to reach evaporator set up temperatures. Capacity of compressor, condenser, and evaporator were 10460 kJ/h, 12552 kJ/h, and 10460 kJ/h, respectively. An axial fan located back of the evaporator was used to distribute the cooled air into the cold store. An electrical heater was used to. defrost. Refrigerant was R22. The compressor suction and pressure temperatures varied between 1.8 degrees C-14 degrees C; and 37 degrees C-44 degrees C, respectively. Condenser output temperature changed from 28.8 to 45.5 degrees C. Electrical energy consumption were measured as 0.001 kWh for 5 degrees C, 4 degrees C, and 3 degrees C and 0.003 kWh for 2 degrees C, 0.006 kWh for 1 degrees C, 0.001 kWh for -1 degrees C, 0.109 kWh for -2 degrees C and 0.120 kWh for -3 degrees C. Mean energy consumption of the compressor was 0.035 kWh/degrees C for positive cold storage temperatures (from 5 degrees C to 0 degrees C) and 0.093 kWh/degrees C for negative temperatures (-1 degrees C, -2 degrees C, and -3 degrees C). Working tithe of the compressor was changed from 207 s to 25049 s for test temperatures.Öğe Erratum to: Quality Changes in Apple in Evaporative Cooling Store (Erwerbs-Obstbau, (2020), 62, 1, (61-67), 10.1007/s10341-019-00458-w)(Springer Science and Business Media Deutschland GmbH, 2020) Akdemir, Serap; Bal, ErdinçThe original version of this article unfortunately contained a mistake. Acknowledgments was missing. The acknowledgment is given. © 2020, Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature.Öğe Evaluation of cold storage insulation by thermal images analysis(National Centre for Agrarian Sciences, 2014) Akdemir, SerapThermal camera is useful tool to check the situation of cold storage insulation envolope and to determine spatial distribution of temperature. In this research, insulation of an experimental cold storage was checked by using thermal camera images. Experimental cold storage volume was 60 m3. Granny Smith apple was stored. Storage temperature was +2oC. Transmission heat was calculated as 18.95 kcal/day for the cold storage. According to the thermal image analysis, some insulation problems were determined around sliding door of cold storage. © 2014 Bulgarian Journal of Agricultural Science.Öğe Investigation of Spatial Variability of Air Temperature, Humidity and Velocity in Cold Stores by Using Management Zone Analysis(Ankara Univ, Fac Agr, 2014) Akdemir, Serap; Tagarakis, AristotelisThe main objective of this research was to determine spatial variability of ambient temperature, relative humidity and air velocity in a cold storage using management zone analysis methods. Ambient temperature, relative humidity and air velocity of an experimental cold store were measured using 36 temperature-relative humidity sensors and air velocity measurement probe. Sensor installation was performed on grid scale at three levels (base, middle and top) such as to monitor the storage conditions in the cold store. The measured data were analysed by MZA software which performed fuzzy clustering to delineate the full cold storage, half full cold storage and empty cold storage. In addition, Surfer mapping software was utilized to create the maps of the measured parameters. The results indicated that there is significant spatial variation of the basic storage parameters such as ambient temperature, relative humidity and air velocity in the cold storage, which denotes the significance of management zones delineation in these facilities so as to maximize the storage.
