This study was conducted to determine the maintenance energy requirements of growing goats in order to establish an appropriate energy benefit system, to reduce feed costs and improve livestock productivity of goat farmers, and to present basic data for detailed specifications afterwards. This experiment was conducted as a group specification test for a total of 3 months, with 32 goats of three months age and conducted by four treatments with different energy levels (T1: NRC+0%, T2: NRC+10%, T3: NRC+20%, and T4: NRC+ 30%). The average daily gain was the highest in the treated with NRC + 10% of the energy level of the experimental diet, and the feed conversion ratio was in the range of 6.3 g to 7.3 g in the group feeding experiment. Although there was no significant difference in digestibility between treatments, the digestibility of dry matter, crude protein, and crude fat was higher in T2 treated with NRC + 10% than the other treatments. Through the regression equation of the values of MEI and ADG obtained through the experiment (Y=0.5439X+ 111.51, R2=0.712), the maintenance energy requirement of the goat in the growing period was estimated to be 111.51 kcal/kgBW0.75.

This study was conducted to predict the energy requirements for maintenance and growth of female Korean black goats during their growth and pregnancy phases. Fifty female goats (18.7±0.27 kg) in their growth phase with an average age of 5 months were stratified by weight and randomly assigned into 5 groups. They were fed 5 diets varying in metabolic energy (ME) [2.32 (G1), 2.49 (G2), 2.74 (G3), 2.99 (G4), and 3.24 (G5) Mcal/kg] until they were 9-month-old. After natural breeding, 50 female goats (30.7±0.59 kg) were stratified by weight and randomly assigned into 5 groups. They were fed 5 diets varying in ME [2.32 (P1), 2.43 (P2), 2.55 (P3), 2.66 (P4), and 2.78 (P5) Mcal/kg]. The average feed intake ranged between 1.5 and 2.0% of the body weight (BW), and there was no significant difference between the treatment groups with goats in growth or pregnancy phases. Average daily gain (ADG) in diet demand during the growth phase increased with an increasing ME density and ranged from 46 to 69 g/d (p<0.01). Feed conversion ratio (FCR) improved with the ME density during the growth phase (p<0.01). The intercept of the regression equation between ME intake and ADG indicated that energy requirement for maintenance of goats during growth and pregnancy phases was 103.53 kcal/BW0.75 and 102.7 kcal/BW0.75, respectively. These results may serve as a basis for the establishment of goat feeding standards in Korea. Further studies are required to assess the nutrient requirement of goats using various methods for improving accuracy.

For the German energy transition, offshore wind energy is a significant factor of success. The number of installed offshore wind energy turbines is steadily increasing. Currently, the subject matter of offshore wind energy turbine maintenance and its optimization is increasingly in the focus of research and development work. The present contribution examines the logistics of offshore wind energy turbine maintenance and the impact of the actual sea state and of sea state forecasts. To this end, the coordination processes between the players involved in the planning of service operations will be presented and analysed. Based on this, the impact of the quality of wave height forecasts on operation decisions and the mean time to repair will be determined as well as the availability of the turbines at different forecast quality levels. Proceeding on the basis of these results, the concept of a decision-making support system for operative logistics planning will be presented.

The competition of maintenance services in the offshore wind industry is continually increasing. The quality of the services acts as the distinguishing feature in the industry. Furthermore, there are public standards, which lead to the permanent necessity to offer further education and training programs for employees. To meet the requirements for further training in the specific field of application within the offshore wind industry, a gamified e-learning application has been developed and is introduced in this paper. It consists of a complete solution, which contains the automated analysis of service protocols to identify qualification needs, the involvement of service technicians in the generation of learning materials, the preparation, transmission as well as the further development of those materials in accordance with the principles of e-learning. Finally, the solution contains a gamified mobile application for qualification, which is designed to meet the individual learning needs of the service technicians. This concept paper follows a problem-centred approach. Based on the current state of technology and research, the problem and motivation are identified and the urgency is verified. Furthermore, a detailed specification of the solution and a first implementation approach is presented.

우리는 심각한 열스트레스 및 서로 다른 사료 에너지 급여가 사료 소화율 변화에 미치는 영향과 심각 한 열스트레스 조건에서 유지를 위한 에너지 요구량을 설정하기 위해 한우 육성기 거세우 4두(평균체중 200±11.7kg)를 이용하였다. 사료 처리는 서로 다른 에너지 공급을 위해 4 시험구(TDN 기준, 쾌적한 상태 하에서 한국사양표준 한우 육성우 에너지 요구량의 100%(대조구), 심각한 열스트레스 하에서 에너 지 100%(E100), 115%(E115), 130%(E130)로 나누어 4×4 라틴 방각법으로 수행하였다. 온도 및 습도에 노출한 열스트레스 조건을 위해 대조구는 쾌적한 온습도지수(THI)=71.5, 나머지 3개 처리구는 THI=81.4로 심각한 스트레스 수준으로 설정하였다. 심각한 열스트레스는 진정 건물소화율을 유의적으 로(p<0.05) 감소시켰으며(대조구 81.5 vs E100 79.1, E115 77.0 및 E130 76.0%), 사료에너지 공급 수 준의 증가는 건물소화율의 감소를 가져오는 것으로 나타났다. 심각한 열스트레스 및 서로 다른 사료 에 너지 급여 수준은 혈중 생리대사물질 함량 및 체온 변화에 유의적인 영향을 미치진 않았다(p>0.05). 본 연구를 통해 심각한 열스트레스 하에서 육성기 한우거세우의 유지를 위한 에너지 요구량은 Y=0.235X+115.03과 같은 산정식으로 계산될 수 있으며, 이러한 결과는 육성기 한우거세우에게 열스트 레스 하에서 체중변화없는 유지 에너지 요구량을 만족시키기 위해서는 현재 한국사양표준 대비, 사료 에너지 15.03%를 더 공급해야 할 것으로 판단된다.

Recently, various studies for reducing GHG and energy consumption are increasing in the world. In this study, the previous studies were analyzed to improve reduction methods and propose alternatives in terms of global competitiveness and environmental protection. The result shows systematic research and policy support are necessary to reduce GHG and energy consumption in maintenance field of infrastructure