The copper flash smelting process is characterized by its involvement of wide energy sources and high energy consumption, so the energy conservation is usually a highly concerned topic for the flash smelting enterpris...The copper flash smelting process is characterized by its involvement of wide energy sources and high energy consumption, so the energy conservation is usually a highly concerned topic for the flash smelting enterprises. However, due to the complexity of the system, it is quite difficult to perform a timely comprehensive analysis of the energy consumption of the whole production system. Aiming to realize an online assessment of the energy consumption of the system, great effort was first made in Jinguan Copper, Tongling Nonferrous Metals Group Co. Ltd. Methods were proposed to solve technical difficulties such as the acquisition and processing of data with different sampling frequencies, the online evaluation of the electricity consumption, and timely evaluation of product output in the periodic process. As a result, a software system was developed to make the online analysis of the energy consumption and efficiency from the three levels ranging from the system to the equipment. The analytical results at the system level was introduce. It’s found that electricity is the most consumed energy in the system, accounting for 77.3% of the total energy consumption. The smelting unit has the highest energy consumption, accounting for 52.8% of the total energy consumed in the whole enterprise.展开更多
The economy of the fishing industry is suffering from high fuel prices. Considerable efforts are invested in methods to increase the energy efficiency of fishing vessels and reducing the oil consumption per kilo of ca...The economy of the fishing industry is suffering from high fuel prices. Considerable efforts are invested in methods to increase the energy efficiency of fishing vessels and reducing the oil consumption per kilo of catch that may be as high as 0.6 to 0.7 liter oil per kilo catch. It is primarily the fact that sailing and fishing are on two very different speeds that cause these high fuel consumptions. This is called the two-speed problem and it is the trawlers that are hit hardest by it. The essence of the two-speed problem is that a hydraulic efficiency of only 28% can be expected in trawling speed, when it would be 67% if the ship is sailing at optimum speed all the time. Hydrodynamical analysis shows that an average hydraulic efficiency of only 41% can be expected for a trawler. There is no simple remedy for this, but it is possible to use a technology developed in the hydropower industry, i.e. a draft tube, or a diffuser, to recover energy that would otherwise be lost when trawling. A draft of tube the same length as the propellers diameter could mean fuel savings of 10%, a draft tube twice as long 20%. The difficulty is to find a way to get the draft tube out of the water during sailing with a vessel-specific mechanical design that is not a part of the fluid dynamics of the problem and not discussed in the paper.展开更多
In order to benchmark the energy efficiency standards for residential buildings in China,the Hong Kong building environment assessment method(HK-BEAM)is chosen as the compliance criteria for assessment.The annual en...In order to benchmark the energy efficiency standards for residential buildings in China,the Hong Kong building environment assessment method(HK-BEAM)is chosen as the compliance criteria for assessment.The annual energy consumption and the overall thermal transfer value(OTTV)of a baseline residential building prescribed in the Chinese codes and the HK-BEAM are evaluated and compared by the energy budget approach.The results show that in the Chinese codes,the OTTV of the residential building is lower,but the annual energy consumption and the cooling load are higher than those in the HK-BEAM.The annual energy use difference amounts to 13.4%.All the compliance criteria except the ventilation rate and the equipment power in the Chinese codes are set higher than those in the HK-BEAM.However,the compliance criteria of the ventilation rate and the equipment power,especially the ventilation rate,result in much energy consumption,which ultimately induces a high energy budget for residential buildings.展开更多
The building energy efficiency is determined by the climatic region and the energy-saving measures. In this paper an assessment model for energy efficiency of the rural residential buildings in the northern China was ...The building energy efficiency is determined by the climatic region and the energy-saving measures. In this paper an assessment model for energy efficiency of the rural residential buildings in the northern China was established by the method of whole life cycle. The energy consumption of the rural residential buildings in different stages was analyzed through quantitative method in this model. At the same time, the corresponding energy efficiency assessment system was developed.展开更多
Within this work,life cycle assessment modeling is used to determine top design priorities and quantitatively inform sustainable design decision-making for a prefabricated modular building.A case-study life-cycle asse...Within this work,life cycle assessment modeling is used to determine top design priorities and quantitatively inform sustainable design decision-making for a prefabricated modular building.A case-study life-cycle assessment was performed for a 5,000 ft2 prefabricated commercial building constructed in San Francisco,California,and scenario analysis was run examining the life cycle environmental impacts of various energy and material design substitutions,and a structural design change.Results show that even for a highly energy-efficient modular building,the top design priority is still minimizing operational energy impacts,since this strongly dominates the building life cycle’s environmental impacts.However,as an energy-efficient building approaches net zero energy,manufacturing-phase impacts are dominant,and a new set of design priorities emerges.Transportation and end-of-life disposal impacts were of low to negligible importance in both cases.展开更多
Ecological payback time was calculated for demolishing an existing commercial building with average energy performance and replacing it with an energy-efficient,prefabricated building.A life-cycle assessment was perfo...Ecological payback time was calculated for demolishing an existing commercial building with average energy performance and replacing it with an energy-efficient,prefabricated building.A life-cycle assessment was performed for a 5,000 ft2 commercial building designed by Project Frog and prefabricated in San Francisco,California,and compared to the impacts of annual energy consumption and continued status quo operation of a comparable average commercial building.Scenarios were run both with and without rooftop solar panels intended to make the prefabricated building net zero energy.The analysis considers the materials and manufacturing,transportation,annual energy use of the new building,and disposal of the existing building,compared to continued annual energy use of the existing building.The carbon payback of a new building with no solar against operation of an existing commercial building was found to be roughly eleven years,and a building with enough rooftop solar to be net zero energy was roughly 6.5 years.The full EcoIndicator99 environmental impact payback for a new efficient building with no solar was found to be twenty years,and a solar net-zero building was roughly eleven years against operation of an existing commercial building.展开更多
随着人工智能(artificial intelligence,AI)的兴起,大模型(large language model,LLM)日益成为知识推介和多轮对话的核心技术。伴随而来,AI大模型在数据处理、模型训练和部署过程中的高能耗问题亟须有效评估,以便在模型优化后进行前后...随着人工智能(artificial intelligence,AI)的兴起,大模型(large language model,LLM)日益成为知识推介和多轮对话的核心技术。伴随而来,AI大模型在数据处理、模型训练和部署过程中的高能耗问题亟须有效评估,以便在模型优化后进行前后量化对比。提出一种AI大模型能耗的评估方法,旨在量化评估AI模型的服务效率(efficiency,E)。该模型使用训练收敛时间(time,T)、模型参数规模(parameter,P)和浮点运算量(floating-point operations,F)等多维度因素,通过构建能源消耗函数C(T,P,F)实现量化分析;同时,运用非线性最小二乘法,得出模型参数。该分析方法不仅适用于电信运营商客服AI模型的运行效率分析,也可泛化于其他行业的AI模型能耗评估。展开更多
Residential buildings are one of the major contributors to climate change due to their significant impacts on global energy consumption.Hence,most countries have introduced regulations to minimize energy use in reside...Residential buildings are one of the major contributors to climate change due to their significant impacts on global energy consumption.Hence,most countries have introduced regulations to minimize energy use in residential buildings.To date,the focus of these regulations has mainly been on operational energy while excluding embodied energy.In recent years,extensive studies have highlighted the necessity of minimizing both embodied energy and operational energy by applying the life-cycle energy assessment(LCEA)approach.However,the absence of a standardized framework and calculation methodology for the analysis of embodied energy has reportedly led to variations in the LCEA results.Retrospective research endeavoured to explore the causes of variations,with a limited focus on calculating embodied impacts.Despite the undertaken attempts,there is still a need to investigate the key parameters causing variations in LCEA results by examining methodological approaches of the current studies toward quantifications of embodied and operational energies.This paper aims to address three primary questions:‘what is the current trend of methodological approach for applying LCEA in residential buildings?’;‘what are the key parameters causing variations in LCEA results?’;and‘how can the continued variations in the application of LCEA in residential buildings be overcome?’.To this end,40 LCEA studies representing 157 cases of residential buildings across 16 countries have been critically reviewed.The findings reveal four principal categories of parameters that potentially contribute to the varying results of LCEAs:system boundary definition,calculation methods,geographical context,and interpretation of results.This paper also proposes a conceptual framework to minimize variations in LCEA studies by standardizing the process of conducting LCEAs.展开更多
基金Project(1301021018) supported by Science and Technology Research Project of Anhui Province,China
文摘The copper flash smelting process is characterized by its involvement of wide energy sources and high energy consumption, so the energy conservation is usually a highly concerned topic for the flash smelting enterprises. However, due to the complexity of the system, it is quite difficult to perform a timely comprehensive analysis of the energy consumption of the whole production system. Aiming to realize an online assessment of the energy consumption of the system, great effort was first made in Jinguan Copper, Tongling Nonferrous Metals Group Co. Ltd. Methods were proposed to solve technical difficulties such as the acquisition and processing of data with different sampling frequencies, the online evaluation of the electricity consumption, and timely evaluation of product output in the periodic process. As a result, a software system was developed to make the online analysis of the energy consumption and efficiency from the three levels ranging from the system to the equipment. The analytical results at the system level was introduce. It’s found that electricity is the most consumed energy in the system, accounting for 77.3% of the total energy consumption. The smelting unit has the highest energy consumption, accounting for 52.8% of the total energy consumed in the whole enterprise.
文摘The economy of the fishing industry is suffering from high fuel prices. Considerable efforts are invested in methods to increase the energy efficiency of fishing vessels and reducing the oil consumption per kilo of catch that may be as high as 0.6 to 0.7 liter oil per kilo catch. It is primarily the fact that sailing and fishing are on two very different speeds that cause these high fuel consumptions. This is called the two-speed problem and it is the trawlers that are hit hardest by it. The essence of the two-speed problem is that a hydraulic efficiency of only 28% can be expected in trawling speed, when it would be 67% if the ship is sailing at optimum speed all the time. Hydrodynamical analysis shows that an average hydraulic efficiency of only 41% can be expected for a trawler. There is no simple remedy for this, but it is possible to use a technology developed in the hydropower industry, i.e. a draft tube, or a diffuser, to recover energy that would otherwise be lost when trawling. A draft of tube the same length as the propellers diameter could mean fuel savings of 10%, a draft tube twice as long 20%. The difficulty is to find a way to get the draft tube out of the water during sailing with a vessel-specific mechanical design that is not a part of the fluid dynamics of the problem and not discussed in the paper.
基金The Natural Science Foundation of Tianjin(No.08JCYBJC26800)
文摘In order to benchmark the energy efficiency standards for residential buildings in China,the Hong Kong building environment assessment method(HK-BEAM)is chosen as the compliance criteria for assessment.The annual energy consumption and the overall thermal transfer value(OTTV)of a baseline residential building prescribed in the Chinese codes and the HK-BEAM are evaluated and compared by the energy budget approach.The results show that in the Chinese codes,the OTTV of the residential building is lower,but the annual energy consumption and the cooling load are higher than those in the HK-BEAM.The annual energy use difference amounts to 13.4%.All the compliance criteria except the ventilation rate and the equipment power in the Chinese codes are set higher than those in the HK-BEAM.However,the compliance criteria of the ventilation rate and the equipment power,especially the ventilation rate,result in much energy consumption,which ultimately induces a high energy budget for residential buildings.
文摘The building energy efficiency is determined by the climatic region and the energy-saving measures. In this paper an assessment model for energy efficiency of the rural residential buildings in the northern China was established by the method of whole life cycle. The energy consumption of the rural residential buildings in different stages was analyzed through quantitative method in this model. At the same time, the corresponding energy efficiency assessment system was developed.
基金the Stanford University Terman Faculty Fellowship,and the staff of Project Frog,for their generous support.
文摘Within this work,life cycle assessment modeling is used to determine top design priorities and quantitatively inform sustainable design decision-making for a prefabricated modular building.A case-study life-cycle assessment was performed for a 5,000 ft2 prefabricated commercial building constructed in San Francisco,California,and scenario analysis was run examining the life cycle environmental impacts of various energy and material design substitutions,and a structural design change.Results show that even for a highly energy-efficient modular building,the top design priority is still minimizing operational energy impacts,since this strongly dominates the building life cycle’s environmental impacts.However,as an energy-efficient building approaches net zero energy,manufacturing-phase impacts are dominant,and a new set of design priorities emerges.Transportation and end-of-life disposal impacts were of low to negligible importance in both cases.
文摘Ecological payback time was calculated for demolishing an existing commercial building with average energy performance and replacing it with an energy-efficient,prefabricated building.A life-cycle assessment was performed for a 5,000 ft2 commercial building designed by Project Frog and prefabricated in San Francisco,California,and compared to the impacts of annual energy consumption and continued status quo operation of a comparable average commercial building.Scenarios were run both with and without rooftop solar panels intended to make the prefabricated building net zero energy.The analysis considers the materials and manufacturing,transportation,annual energy use of the new building,and disposal of the existing building,compared to continued annual energy use of the existing building.The carbon payback of a new building with no solar against operation of an existing commercial building was found to be roughly eleven years,and a building with enough rooftop solar to be net zero energy was roughly 6.5 years.The full EcoIndicator99 environmental impact payback for a new efficient building with no solar was found to be twenty years,and a solar net-zero building was roughly eleven years against operation of an existing commercial building.
文摘随着人工智能(artificial intelligence,AI)的兴起,大模型(large language model,LLM)日益成为知识推介和多轮对话的核心技术。伴随而来,AI大模型在数据处理、模型训练和部署过程中的高能耗问题亟须有效评估,以便在模型优化后进行前后量化对比。提出一种AI大模型能耗的评估方法,旨在量化评估AI模型的服务效率(efficiency,E)。该模型使用训练收敛时间(time,T)、模型参数规模(parameter,P)和浮点运算量(floating-point operations,F)等多维度因素,通过构建能源消耗函数C(T,P,F)实现量化分析;同时,运用非线性最小二乘法,得出模型参数。该分析方法不仅适用于电信运营商客服AI模型的运行效率分析,也可泛化于其他行业的AI模型能耗评估。
文摘Residential buildings are one of the major contributors to climate change due to their significant impacts on global energy consumption.Hence,most countries have introduced regulations to minimize energy use in residential buildings.To date,the focus of these regulations has mainly been on operational energy while excluding embodied energy.In recent years,extensive studies have highlighted the necessity of minimizing both embodied energy and operational energy by applying the life-cycle energy assessment(LCEA)approach.However,the absence of a standardized framework and calculation methodology for the analysis of embodied energy has reportedly led to variations in the LCEA results.Retrospective research endeavoured to explore the causes of variations,with a limited focus on calculating embodied impacts.Despite the undertaken attempts,there is still a need to investigate the key parameters causing variations in LCEA results by examining methodological approaches of the current studies toward quantifications of embodied and operational energies.This paper aims to address three primary questions:‘what is the current trend of methodological approach for applying LCEA in residential buildings?’;‘what are the key parameters causing variations in LCEA results?’;and‘how can the continued variations in the application of LCEA in residential buildings be overcome?’.To this end,40 LCEA studies representing 157 cases of residential buildings across 16 countries have been critically reviewed.The findings reveal four principal categories of parameters that potentially contribute to the varying results of LCEAs:system boundary definition,calculation methods,geographical context,and interpretation of results.This paper also proposes a conceptual framework to minimize variations in LCEA studies by standardizing the process of conducting LCEAs.