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食用菌工厂能源管理的思考
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作者 谷继永 《食药用菌》 2023年第1期7-11,共5页
从食用菌生产经营者角度指出食用菌工厂化生产的产品生鲜属性、微生物培养的技术特点和竞争战略难以突破决定了成本控制是经营的核心。分析食用菌生产的成本构成,指出加强能源管理是节本增效的重要途径,从电费的分类和改善方式、灭菌的... 从食用菌生产经营者角度指出食用菌工厂化生产的产品生鲜属性、微生物培养的技术特点和竞争战略难以突破决定了成本控制是经营的核心。分析食用菌生产的成本构成,指出加强能源管理是节本增效的重要途径,从电费的分类和改善方式、灭菌的燃料选择和改善方法、未来能源可拓展方向(太阳能和配合蒸汽使用的溴化锂吸收式制冷机)指明食用菌工厂能源管理的具体途径。提出能源管理的基本思路为确定改善目标、划分区域、明确费用、改善实施和核算结果。 展开更多
关键词 食用菌 金针菇 工厂化生产 成本结构 能源费 电费分类 太阳能 溴化锂吸收式制冷机
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Characteristics of electricity consumption of different industry types considering atmospheric condition
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作者 KANG Yeon-Hee JEON Gyu-yeob +1 位作者 NAM Gyeong-mok HONG Won-Hwa 《Journal of Chongqing University》 CAS 2011年第4期168-176,共9页
Reducing greenhouse gases (RHG) is going on actively in the international movement. In the field of architecture, RHG is an inevitable work. To establish a plan for RHG, firstly we need to reduce energy consumption. G... Reducing greenhouse gases (RHG) is going on actively in the international movement. In the field of architecture, RHG is an inevitable work. To establish a plan for RHG, firstly we need to reduce energy consumption. Greenhouse gas generated by energy consumption is the main cause of global warming. For this we should know that how much electricity consumption we use. The research targets of this study are commercial buildings with various businesses. Their electricity consumption was analyzed by business units rather than buildings. Each business was divided into 13 sectors according to industrial classification and electricity consumption was analyzed for each industry. For commercial buildings, the electricity consumption is done by the private sector and construction management is an autonomy system in private instead of an integrated management system. In this study, we classified and analyzed the electricity consumption characteristics according to collected data, analyzed the relationship between the electricity consumption with atmospheric temperature through SPSS, and developed an electricity prediction model. 展开更多
关键词 commercial building industrial classification electricity consumption: atmospheric condition predictive model
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