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Impact of household transitions on domestic energy consumption and its applicability to urban energy

Benachir MEDJDOUB, Moulay Larbi CHALAL

《工程管理前沿（英文）》 2017年第4卷第2期页码 171-183 doi: 10.15302/J-FEM-2017029

摘要： The household sector consumes roughly 30% of Earth’s energy resources and emits approximately 17% of its carbon dioxide. As such, developing appropriate policies to reduce the CO emissions, which are associated with the world’s rapidly growing urban population, is a high priority. This, in turn, will enable the creation of cities that respect the natural environment and the well-being of future generations. However, most of the existing expertise focuses on enhancing the thermal quality of buildings through building physics while few studies address the social and behavioral aspects. In fact, focusing on these aspects should be more prominent, as they cause between 4% and 30% of variation in domestic energy consumption. Premised on that, the aim of this study was to investigate the effect in the context of the UK of household transitions on household energy consumption patterns. To achieve this, we applied statistical procedures (e.g., logistic regression) to official panel survey data comprising more than 5500 households in the UK tracked annually over the course of 18 years. This helped in predicting future transition patterns for different household types for the next 10 to 15 years. Furthermore, it enabled us to study the relationship between the predicted patterns and the household energy usage for both gas and electricity. The findings indicate that the life cycle transitions of a household significantly influence its domestic energy usage. However, this effect is mostly positive in direction and weak in magnitude. Finally, we present our developed urban energy model “EvoEnergy” to demonstrate the importance of incorporating such a concept in energy forecasting for effective sustainable energy decision-making.

关键词： urban energy planning household transitions smart cities energy forecasting household projection serious gaming

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Quantifying and mapping spatial variability of Shanghai household carbon footprints

Shangguang YANG,Chunlan WANG,Kevin LO,Mark WANG,Lin LIU

《能源前沿（英文）》 2015年第9卷第1期页码 115-124 doi: 10.1007/s11708-015-0348-8

摘要： Understanding the spatial variability of household carbon emissions is necessary for formulating sustainable and low-carbon energy policy. However, data on household carbon emissions is limited in China, the world’s largest greenhouse gases emitter. This study quantifies and maps household carbon emissions in Shanghai using a city-wide household survey. The findings reveal substantial spatial variability in household carbon emissions, especially in transport-related emissions. Low emission clusters are founded in Hongkou, Xuhui, Luwan, Jinshan, and Fengxian. High emission clusters are located in Jiading and Pudong. Overall, the spatial pattern of household carbon emissions in Shanghai is donut-shaped: lowest in the urban core, increasing in the surrounding suburban areas, and declining again in the urban fringe and rural regions. The household emissions are correlated with a number of housing and socioeconomic factors, including car ownership, type of dwelling, size of dwelling, age of dwelling, and income. The findings underscore the importance of a localized approach to low-carbon policy-making and implementation.

关键词： household carbon emissions spatial variability energy policy Shanghai China

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Reducing environmental impacts through socioeconomic transitions: critical review and prospects

《环境科学与工程前沿（英文）》 2023年第17卷第2期 doi: 10.1007/s11783-023-1624-1

摘要：

● Reducing environmental impacts through socioeconomic structural transitions.

关键词： Environmental pressures Environmental impacts Nexus Supply chains Trade Coupled systems

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ENABLING CROP DIVERSIFICATION TO SUPPORT TRANSITIONS TOWARD MORE SUSTAINABLE EUROPEAN AGRIFOOD SYSTEMS

《农业科学与工程前沿（英文）》 2021年第8卷第3期页码 474-480 doi: 10.15302/J-FASE-2021406

摘要：

European cropping systems are often characterized by short rotations or even monocropping, leading to environmental issues such as soil degradation, water eutrophication, and air pollution including greenhouse gas emissions, that contribute to climate change and biodiversity loss. The use of diversification practices (i.e., intercropping, multiple cropping including cover cropping and rotation extension), may help enhance agrobiodiversity and deliver ecosystem services while developing new value chains. Despite its benefits, crop diversification is hindered by various technical, organizational, and institutional barriers along value chains (input industries, farms, trading and processing industries, retailers, and consumers) and within sociotechnical systems (policy, research, education, regulation and advisory). Six EU-funded research projects have joined forces to boost crop diversification by creating the European Crop Diversification Cluster (CDC). This Cluster aggregates research, innovation, commercial and citizen-focused partnerships to identify and remove barriers across the agrifood system and thus enables the uptake of diversification measures by all European value-chain stakeholders. The CDC will produce a typology of barriers, develop tools to accompany actors in their transition, harmonize the use of multicriteria assessment indicators, prepare policy recommendations and pave the way for a long-term network on crop diversification.

关键词： crop rotation lock-in intercropping multiple cropping networking

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废旧家用电器的机械破碎与分选技术

阎利,,刘应宗,黄文雄

《中国工程科学》 2005年第7卷第12期页码 24-30

摘要：

简要分析了废旧家用电器的材料组成、联结方式，以及发达国家废旧家用电器处理技术现状，详细阐述了废旧家用电器的机械破碎和机械分选技术，介绍了国内外废旧家用电器成套处理设备的研究开发进展，并提出了适合我国国情的废旧家用电器处理的工艺技术路线。

关键词：废旧家用电器破碎分选循环经济

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Big Data to support sustainable urban energy planning: The EvoEnergy project

Moulay Larbi CHALAL, Benachir MEDJDOUB, Nacer BEZAI, Raid SHRAHILY

《工程管理前沿（英文）》 2020年第7卷第2期页码 287-300 doi: 10.1007/s42524-019-0081-9

摘要： Energy sustainability is a complex problem that needs to be tackled holistically by equally addressing other aspects such as socio-economic to meet the strict CO emission targets. This paper builds upon our previous work on the effect of household transition on residential energy consumption where we developed a 3D urban energy prediction system (EvoEnergy) using the old UK panel data survey, namely, the British household panel data survey (BHPS). In particular, the aim of the present study is to examine the validity and reliability of EvoEnergy under the new UK household longitudinal study (UKHLS) launched in 2009. To achieve this aim, the household transition and energy prediction modules of EvoEnergy have been tested under both data sets using various statistical techniques such as Chow test. The analysis of the results advised that EvoEnergy remains a reliable prediction system and had a good prediction accuracy (MAPE  5%) when compared to actual energy performance certificate data. From this premise, we recommend researchers, who are working on data-driven energy consumption forecasting, to consider merging the BHPS and UKHLS data sets. This will, in turn, enable them to capture the bigger picture of different energy phenomena such as fuel poverty; consequently, anticipate problems with policy prior to their occurrence. Finally, the paper concludes by discussing two scenarios of EvoEnergy development in relation to energy policy and decision-making.

关键词： urban energy planning sustainable planning Big Data household transition energy prediction

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Understanding high-emitting households in the UK through a cluster analysis

Xinfang WANG, Ming MENG

《能源前沿（英文）》 2019年第13卷第4期页码 612-625 doi: 10.1007/s11708-019-0647-6

摘要： Anthropogenic climate change is a global problem that affects every country and each individual. It is largely caused by human beings emitting greenhouse gases into the atmosphere. In general, a small percentage of the population is responsible for a large amount of emissions. This paper focuses on high emitters and their CO emissions from energy use in UK homes. It applies a cluster approach, aiming to identify whether the high emitters comprise clusters where households in each cluster share similar characteristics but are different from the others. The data are mainly based on the Living Cost and Food survey in the UK. The results show that after equivalising both household emissions and income, the high emitters can be clustered into six groups which share similar characteristics within each group, but are different from the others in terms of income, age, household composition, category and size of the dwelling, and tenure type. The clustering results indicate that various combinations of socioeconomic factors, such as low-income single female living in an at least six-room property, or high-income retired couple owning a large detached house, could all lead to high CO emissions from energy use at home. Policymakers should target each high-emitter cluster differently to reduce CO emissions from energy consumption at home more effectively.

关键词： cluster analysis emissions reduction energy use high emitters household energy consumption socioeconomic factors

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Neighborhood form and CO

Jiaxing GUO, Huan LIU, Yang JIANG, Dongquan HE, Qidong WANG, Fei MENG, Kebin HE

《环境科学与工程前沿（英文）》 2014年第8卷第1期页码 79-88 doi: 10.1007/s11783-013-0516-1

摘要： To understand the household CO emission level in China, as well as how much the neighborhoods’ socio-economic or design factors could influence the CO emission, 23 neighborhoods in Jinan were investigated in 2009 and 2010. These neighborhoods fall into four different types: superblock, enclave, grid and traditional. The household CO emission includes sources of both in-home energy use and passenger transportation. The average CO emission per household is 7.66 t·a , including 6.87 t in-home operational emission and 792 kg transportation emission. The household CO emission by neighborhood categories is 10.97, 5.65, 6.49, 5.40 t·household ·a for superblock, enclave, grid and traditional respectively. Superblock has the highest average emission and also the highest percent (more than 25%) of transportation emission among four different types of neighborhoods. The residential CO emission of superblock neighborhoods in Jinan has already reached the level in developed countries nearly ten years ago. It is predictable that more superblock neighborhoods would be built in China with the fast urbanization. How to avoid the rapid household CO emission growth in the future would be a systematic issue. The study also found that in addition to income and apartment area, household density, land use mix and accessibility to public transportation are three primary factors which have significant impacts on CO emission. High density, mixed land use and convenient accessibility to public transportation tend to reduce household CO emission.

关键词： CO₂ emission neighborhood type transportation household energy China

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表征不同DNA高阶结构的单分子方法 Review

Yonglin Liu, Tianyuan Bian, Yan Liu, Zhimin Li, Yufeng Pei, Jie Song

《工程（英文）》 2023年第24卷第5期页码 277-292 doi: 10.1016/j.eng.2022.10.009

摘要：

DNA不仅是生命遗传信息的载体，而且是一种高度可编程和自组装的纳米材料。不同的DNA结构与其生物和化学功能有关。因此，了解各种DNA结构的物理和化学性质在生物学和纳米化学中具有重要意义。然而，批量分析忽略了溶液中DNA结构的异质性。单分子方法是观察单个分子行为和探测自由能态高度非均质性的有力工具。在本文中，介绍了单分子方法，包括单分子检测和操作方法，并讨论了这些方法如何有助于测量单链/双链DNA (ss/dsDNA)、DNA高阶结构和DNA纳米结构的分子性质。本文为DNA纳米技术与单分子方法的结合提供了一个新的视角，以了解DNA和其他生物物质和软物质的生物物理特性。

关键词：单分子方法 DNA结构力学性质构象转变