Comparative Study on Energy Consumption Structure of Ordinary Rural Households and Rural Tourism Households in Zhejiang Province, China

With the rapid development of rural tourism in China, more and more rural households operate a rural tourism business. The purpose of this study is to understand the energy consumption characteristic of ordinary rural households (ORHs) and rural tourism households (RTHs) in the mountainous area and islands area in Zhejiang province. 225 households were surveyed, including 185 ORHs and 40 RTHs, based on a field survey in Quzhou (mountainous area) and Zhoushan (islands area). Results reveal that energy consumption of ORHs is low, but energy comsumption of RTHs is high, about 3 to 5 times higher than that of ORHs. Given the results, the government and RTHs should pay more attention to take measures to reduce energy comsumption. Meanwhile, the factors affecting households’ energy consumption are also analyzed. Energy consumption of ORHs is affected by frequently used area, family income level and permanent population. Then energy consumption of RTHs is mainly related to the total building area, number of air conditioner (AC), number of guestrooms and family income level.

Residential Energy Consumption and Associated Carbon Emission in Forest Rural Area in China: A Case Study in Weichang County

Rural energy consumption in China has increased dramatically in the last decades, and has become a significant contributor of carbon emissions. Yet there is limited data on energy consumption patterns and their evolution in forest rural areas of China. In order to bridge this gap, we report the findings of field surveys in forest villages in Weichang County as a case study of rural energy consumption in northern China. We found that the residential energy consumption per household is 3313 kgce yr^-1 （kilogram standard coal equivalent per year）, with energy content of 9.7×lO7 kJ yr^-1, including 1783 kgce yr^-1 from coal, 1386 kgce yr^-1 from fuel wood, 96 kgce yr^-1 from electricity, and 49 kgce yr^-1 from LPG. Per capita consumption is 909 kgce yr^-1 and its energy content is 2.7×lO7 kJ yr^-1. Due to a total energy utilization efficiency of 24.6%, all the consumed energy can only supply about 2.4×107 kJ yr^-1 of efficient energy content. Secondly, household energy consumption is partitioned into 2614 kgce yr^-1 for heating, 616 kgce yr^-1 for cooking, and 117 kgce yr^-1 for home appliances. Thirdly, the associated carbon emissions oer household are 2556 kzC yr^-1, includinz1022 kgC yr^-1 from unutilized fuel wood （90% of the total fuel wood）. The rest of emissions come from the use of electricity （212 kgC yr^-1, coal （13Ol kgC yr^-1 and LPG （21 kgC yr^-1. Fourthly, local climate, family size and household income have strong influences on rural residential energy consumption. Changes in storage and utilization practices of fuel can lead to the lO%-30% increase in the efficiency of fuel wood use, leading to reduced energy consumption by 924 kgce yr^-1 per household （27.9% reduction） and 9Ol kgC yr^-1 of carbon emissions （35-3% reduction）.

Energy Consumption by Rural Households in Northern Hunan

This study was conducted to investigate the household energy consumption in rural districts in northern Hunan and to help explore the sustainable and ecological energy policy.Questionnaires were used to acquire the details of energy consumption,and the electricity equivalent calculation was used in the energy statistics in four villages.The energy consumption in these four villages is influenced by the economic condition,geographic position and landform and the local custom.The traditional biomass energy and coal briquette are the primary energy source for cooking and heating,but they are used in a very low efficiency and result in poor IAQ.For sustainability,further measures should be taken to optimize the energy consumption with the efficient use of biomass energy,coal and electricity.

Characteristics of Changes in Energy Consumption of Rural Residential Buildings from the Perspective of Province and Recommendations

In the context of the new period,the living standards and comfort demands of rural residents are increasing,which promotes the continuous growth of the total energy consumption of rural residential buildings.In this study,it estimated the total energy consumption of rural residential buildings in 30 provinces(or cities)in China from 2004 to 2016.Through the division of climate regions of the residential buildings,this paper analyzed the characteristics of changes in the energy structure of residential buildings and the trend of energy consumption from the perspective of the province.Then based on the people s livelihood and from the perspective of development,it came up with some pertinent strategies and recommendations for energy saving and emission reduction in rural residential buildings.

Energy-efficient Approach to Minimizing the Energy Consumption in An Extended Job-shop Scheduling Problem

The traditional production planning and scheduling problems consider performance indicators like time, cost and quality as optimization objectives in manufacturing processes. However, environmentally-friendly factors like energy consumption of production have not been completely taken into consideration. Against this background, this paper addresses an approach to modify a given schedule generated by a production plarming and scheduling system in a job shop floor, where machine tools can work at different cutting speeds. It can adjust the cutting speeds of the operations while keeping the original assignment and processing sequence of operations of each job fixed in order to obtain energy savings. First, the proposed approach, based on a mixed integer programming mathematical model, changes the total idle time of the given schedule to minimize energy consumption in the job shop floor while accepting the optimal solution of the scheduling objective, makespan. Then, a genetic-simulated annealing algorithm is used to explore the optimal solution due to the fact that the problem is strongly NP-hard. Finally, the effectiveness of the approach is performed small- and large-size instances, respectively. The experimental results show that the approach can save 5%-10% of the average energy consumption while accepting the optimal solution of the makespan in small-size instances. In addition, the average maximum energy saving ratio can reach to 13%. And it can save approximately 1%-4% of the average energy consumption and approximately 2.4% of the average maximum energy while accepting the near-optimal solution of the makespan in large-size instances. The proposed research provides an interesting point to explore an energy-aware schedule optimization for a traditional production planning and scheduling problem.

Research on Energy Consumption of Traditional Natural Villages in Transition: A Case Study in Zhejiang Province

Traditional agriculture is in the direction of increasing integration of the primary industry, secondary industry, and tertiary industry in Zhejiang province. A survey was undertaken on energy consumption of traditional natural villages by taking Anji Ligeng village for an example. This paper firstly studied rural buildings, rural family structure, occupants’ activity and the usage of household appliances in the form of a questionnaire. Then, the household energy resource structure and energy consumption structure were analyzed and compared with other surveys. The results show that, the electric energy consumption was 6 kWh/(m2•a), which was far less than urban residential household. In rural household energy resource structure, the proportion of non-commercial energy resource was higher than commercial energy resource. Firewood accounted for 83%, electricity for 12%, LPG for 3% and solar energy for 2%. In building energy consumption structure, cooking and hot water took up 33%, appliances 31%, lighting 20%, heating 12%, cooling 4%. In all influential factors, frequently used area, number of air conditioner per household and building function were obviously correlated with energy consumption;income, building shape factor and window to wall area ratio had no correlation with energy consumption in the low energy consumption area.

Analysis of Changes in Energy Consumption and Demand Trend in China's Agricultural Production

China's energy consumption for agricultural production has relied on petroleum and coal with relatively low input from power and other types of energy for a long time.Projections indicate that as China's existing development trend leads to substantial growth of energy demand for agricultural production,such a long term irrational energy consumption pattern would unlikely be able to meet the needs of the country's developing agricultural sector.As such,it is recommended that China's agricultural sector should follow the national energy development strategy guideline by gradually increasing the use of wind power,solar energy,biomass and other new energy sources while advancing technological innovations on traditional energy sources.Meanwhile,as the consumption structure of three major energy sources(i.e.petroleum,coal,and power)is optimized,development and application of biomass from agriculture as raw materials for alternative energy should be enhanced.Lastly,the development and application of wind power,solar energy,and hydropower in agricultural production should be increased in areas where appropriate.

Influencing factors and paths of direct carbon emissions from the energy consumption of rural residents in central China determined using a questionnaire survey

Rural residents have unique lifestyle characteristics,energy consumption methods,energy-saving behaviors,and awareness.And the direct carbon emission from rural residents is based on the combined effect of multiple factors.In order to address the complexity of factors affecting the direct carbon emissions from rural household,this study used a structural equation model to examine the effect of multi-factor variables on direct carbon emissions from rural households in central China.Data were collected using questionnaires and surveys in six cities in central China to reflect the daily reality of rural residents.The results show that quality of life and awareness of energy conservation can affect the direct carbon emissions of rural residents.Family characteristics and awareness of energy conservation affected carbon emissions indirectly by affecting the daily behaviors and quality of life of the residents;consumption characteristics,energy-saving behaviors,and energy conservation policies are not the main factors contributing to the direct carbon emissions of the residents.Based on the results,future studies can focus on energy conservation education,improvement of the living habits,coal energy use efficiency,and energy consumption structure of residences.

Urban microclimate and energy consumption:A multi-objective parametric urban design approach for dense subtropical cities

Climate change within the urban contexts is a crisis that cities are confronting globally.This issue poses numerous negative consequences such as thermal discomfort and increased energy usage within the building sector.This is especially the case in Western Sydney,Australia,where the average maximum temperature has risen by 7—8℃ within the past 30 years.This increase in temperature is highly concerning,since this region is witnessing rapid urban and infrastructural development and is proposed as the third-largest economy of Australia.Temperature changes in this region will also result in considerably increasing the electricity used for cooling purposes.This paper presents a parametric approach driven multi-objective optimization methodology to discover optimum design solution based on the urban microclimate and cooling energy demand of multi-functional buildings within this urban context.Mitigation measures including a range of design factors at both building(typology and window to wall ratio)and urban scales(aspect ratio and urban grid rotation)are further suggested for developing context sensitive optimum urban layouts.The resultant solutions indicate an improvement in urban thermal comfort,cooling and heating energy use by up to 25.85%,72.76%,and 93.67%,respectively.

Energy-Efficient Process Planning Using Improved Genetic Algorithm

Nowadays,energy consumption which closely contacts with environmental impacts of manufacturing processes has been highly commented as a new productivity criterion.However,little attention has paid to the development of process planning methods that take energy consumption into account.An energy-efficient process planning model that incorporates manufacturing time and energy consumption is proposed.For solving the problem,an improved genetic algorithm method is employed to explore the optimal solution.Finally,a case study for process planning is given.The experimental result generates interesting effort,and therefore allows improving the energy efficiency of manufacturing processes in process planning.

Research on the Design and Energy Saving of New Rural Residential in the Southwest Area

The paper use advantage of local natural resources, greening and sufficient water resources, combine natural ecological environment design with rural architecture, and fully consider local economic base and material technical conditions, and takes site selection and planning, architectural design technology as the two core aspects to study rural residential energy conservation, improving thermal environment of indoor residential that use of nature building energy saving technique, efforts to reduce the use of mechanical equipment system, thereby reducing the rural residential building energy consumption.

Prospects of key technologies of integrated energy systems for rural electrification in China

Owing to increasing environmental concerns and resource scarcity, integrated energy system shave become widely used in communities. Rural energy systems, as one of the important links of the energy network in China, suffer from low energy efficiency and weak infrastructure. Therefore, it is particularly important to increase the proportion of electricity consumption and build an integrated energy system for rural electrification in China(IESREIC) with a rural distribution network as the core, in line with national conditions. In this study, by analyzing the Chinese regional differences and natural resource endowments, the development characteristics of the IESREIC are summarized. Then, according to the existing rural energy problems, key technologies are proposed for the IESREIC, such as those for planning and operation, value sharing, infrastructure, and a management and control platform. Finally, IESREIC demonstration projects and business models are introduced for agricultural production, rural industrial systems, and rural life. The purpose is to propose research concepts for the IESREIC, provide suggestions for the development of rural energy, and provide a reference for the construction of rural energy systems in countries with characteristics similar to those of China.

The effects of urban water cycle on energy consumption in Beijing, China

Energy is consumed at every stage of the cycle of water production, distribution, end use, and recycled water treatment. Understanding the nexus of energy and water may help to minimize energy and water consumption and reduce environmental emissions. However, the interlinkages between water and energy have not received adequate attention. To address this gap, this paper disaggregates and quantifies the energy consumption of the entire water cycle process in Beijing. The results of this study show that total energy consumption by water production, treatment and distribution, end use, and recycled water reuse amounts to 55.6 billion kWh of electricity in 2015, or about 33% of the total urban energy usage. While water supply amount increased by only 10% from 2005 to 2015, the related energy consumption increased by 215% due to water supply structural change. The Beijing municipal government plans to implement many water saving measures in the area from 2016 to 2020, however, these policies will increase energy consumption by 74 million kWh in Beijing. This study responds to the urgent need for research on the synergies between energy and water. In order to achieve the goal of low-energy water utilization in the future, water and energy should be integrated in planning and management.

GIS-Based Spatial Analysis for the Integrated Transport-Land Use-Energy Planning:An Application to the Greater London

This work focuses on examining the possible advantages for the urban sustainability,derived from the integration of transport,land use and energy systems.The main aim is to develop a GIS-based method that can help decision makers,either public or private,improve the economic,social and environmental sustainability of urban areas through an integrated transformation approach.As a result,it was possible to provide a spatial analysis technique based on seven synthetic variables and on the application of a cluster method able to identify the portions of urban areas where investments and urban integrated transformation processes can be more suitable,according to the dynamic relationships among transport,land use and energy systems.The methodology was applied to the Greater London area and led to significant results:the cluster classes follow the transport railway network evolution within the study area boundary.The paper is organized as follows:in Section 1 the integration of transport,land use and energy planning is investigated;following the introduction,in Section 2,the GIS-based method is presented,followed by a description of the application to the Greater London area;in Section 4,findings of the methodology are explained.In the last section,results and future developments are discussed.

A hybrid solar-biogas system for post-COVID-19 rural energy access

Solar home systems for rural electrification are often designed with a limited energy supply,which presents a drawback for the technology.Furthermore,uncontrolled livestock faeces in rural communities constitute environmental sanitation and health risks.Livestock excrement can be used through a biogas digester to supplement solar energy to provide adequate and sustainable elec-tricity access to underserved rural communities while achieving waste management.Therefore,this study presents a hybrid solar-biogas system for a more dynamic energy supply and waste management for post-Covid recovery plans in rural communities.A parametric research approach that involves the use of the Integrated Environment Solution Virtual Environment software application and mathematical models to design the desired household load and the hybrid system sizing is used in the study.The findings show that the daily household energy consumption was 6.6 kWh,equivalent to 206.40 kWh/month.A 1.2-kWp and 1.2-m^(3)hybrid solar-biogas system was found to adequately power the house.Financially,the total initial investment cost of the system was$5777.20 with a net present value of$6566.78,net profit of$4443.6,a payback period of 14 years and 8 months,and a levelized cost of energy of$0.21/kWh;these include a 60%initial investment and maintenance costs subsidy.Energy performance contracting and energy-as-a-service were recommended to effectively run and operate the system.The study successfully revealed the design,specifications and upscaling mechanism of the proposed hybrid solar-biogas system.More research is required to unveil the efficacy of the system,the performance gap and the perception of the technology by the beneficiaries.

California Simulation of Evapotranspiration of Applied Water and Agricultural Energy Use in California

The California Simulation of Evapotranspiration of Applied Water （CaI-SIMETAW） model is a new tool developed by the California Department of Water Resources and the University of California, Davis to perform daily soil water balance and determine crop evapotranspiration （ETo）, evapotranspiration of applied water （ETaw）, and applied water （AW） for use in California water resources planning. ETaw is a seasonal estimate of the water needed to irrigate a crop assuming 100% irrigation efficiency. The model accounts for soils, crop coefficients, rooting depths, seepage, etc. that influence crop water balance. It provides spatial soil and climate information and it uses historical crop and land-use category information to provide seasonal water balance estimates by combinations of detailed analysis unit and county （DAU/County） over Califomia. The result is a large data base of ETc and ETaw that will be used to update information in the new California Water Plan （CWP）. The application uses the daily climate data, i.e., maximum （Tx） and minimum （Tn） temperature and precipitation （Pcp）, which were derived from monthly USDA-NRCS PRISM data （PRISM Group 2011） and daily US National Climate Data Center （NCDC） climate station data to cover California on a 4 kmx4 km change grid spacing. The application uses daily weather data to determine reference evapotranspiration （ETo）, using the Hargreaves-Samani （HS） equation （Hargreaves and Samani 1982, 1985）. Because the HS equation is based on temperature only, ETo from the HS equation were compared with CIMIS ETo at the same locations using available CIMIS data to determine correction factors to estimate CIMIS ETo from the HS ETo to account for spatial climate differences. CaI-SIMETAW also employs near real-time reference evapotranspiration （ETo） information from Spatial CIMIS, which is a model that combines weather station data and remote sensing to provide a grid of ETo information. A second database containing the available soil water holding capacity and soil depth information for all of California was also developed from the USDA-NRCS SSURGO database. The Cal-SIMETAW program also has the ability to generate daily weather data from monthly mean values for use in studying climate change scenarios and their possible impacts on water demand in the state. The key objective of this project is to improve the accuracy of water use estimates for the California Water Plan （CWP）, which provides a comprehensive report on water supply, demand, and management in California. In this paper, we will discuss the model and how it determines ETaw for use in water resources planning.

QoS Based and Energy Aware Multi-Path Hierarchical Routing Algorithm in WSNs

In hierarchical networks, nodes are separated to play different roles such as CHs and cluster members. Each CH collects data from the cluster members within its cluster, aggregates the data and then transmits the data to the sink. Each algorithm that is used for packet routing in quality of service (QoS) based applications should be able to establish a tradeoffs between end to end delay parameter and energy consumption. Therefore, enabling QoS applications in sensor networks requires energy and QoS awareness in different layers of the protocol stack. We propose a QoS based and Energy aware Multi-path Hierarchical Routing Algorithm in wireless sensor networks namely QEMH. In this protocol, we try to satisfy the QoS requirements with the minimum energy via hierarchical methods. Our routing protocol includes two phase. In first phase, performs cluster heads election based on two parameters: node residual energy and node distance to sink. In second phase, accomplishes routes discovery using multiple criteria such as residual energy, remaining buffer size, signal-to-noise ratio and distance to sink. When each node detect an event can send data to the CH as single hop and CH to the sink along the paths. We use a weighted traffic allocation strategy to distribute the traffic amongst the available paths to improve the end to end delay and throughput. In this strategy, the CH distributes the traffic between the paths according to the end to end delay of each path. The end to end delay of each path is obtained during the paths discovery phase. QEMH maximizes the network lifetime as load balancing that causes energy consume uniformly throughout the network. Furthermore employs a queuing model to handle both real-time and non-real-time traffic. By means of simulations, we evaluate and compare the performance of our routing protocol with the MCMP and EAP protocols. Simulation results show that our proposed protocol is more efficient than those protocols in providing QoS requirements and minimizing energy consumption.

“双碳”目标下农户兼业与农村生活能源消费转型

促进农村生活能源消费转型对于我国能源消费结构优化以及“双碳”目标实现具有重要意义。基于2022年实地调研数据,实证分析农户兼业对农村生活能源消费转型的影响效应及作用机制。结果表明,农户兼业对农村生活能源消费转型有显著促进作用,推动农村能源消费结构逐渐由以生物质能源为主向以商品能源为主转变。进一步机制分析显示,农户兼业通过提升家庭收入及优化收入结构、土地资本挤出、人力资本挤出和生态自觉性提升促进农村生活能源消费转型。此外,农户兼业促进农村生活能源消费转型存在代际、兼业地区和行业差异。因此,提出进一步破除城乡资源流动壁垒,完善农民工省外流动机制;加强生态文明建设,大力培育农户生态自觉性;推动乡村产业升级,促进农民收入量、质提升的对策建议。

寒冷地区农村居住建筑供暖能耗计算方法研究

分析了主要文献对多智能体的定义及其特征,对建筑环境与能源控制领域的多智能体控制系统应用的标准、常用框架和语言进行了综述和介绍,并对多智能体控制系统的不同系统架构、协调机制、优化算法进行了对比分析。针对建筑设备系统优化控制、单体建筑能源与环境优化控制、建筑与外部能源网络交互优化控制、建筑群与外部能源网络优化控制等不同层次的多智能体控制应用研究进行了综述,并对多智能体控制系统在建筑能源和环境领域应用中存在的时间序列优化、在线学习、计算不确定性、稳定性与收敛性等重要问题进行了讨论。

考虑能流-物流耦合的港口综合能源系统规划关键技术及挑战

能流系统和物流系统深度耦合是未来港口综合能源系统(port integrated energy system,PIES)的关键特征之一,开展考虑能流-物流耦合的PIES规划对港口绿色低碳转型具有重要意义。该文首先从传统港口、绿色港口、近零碳港口3个典型阶段展现PIES的形态结构演变,阐述其发展现状和趋势;其次,分析港口物流系统的用能时空可调性,探究PIES能流-物流耦合机理;在此基础上,分析并构建考虑能流-物流耦合的PIES规划一般性模型,提炼并对比跨(港)区级、港区级和码头级3个层级的PIES规划模型特点和建模要素,梳理并评述不同层级PIES规划关键技术的研究现状;最后,着眼于当前考虑能流-物流耦合后PIES规划中的突出问题,对其未来可能发展方向及挑战进行展望。