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Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

《能源前沿（英文）》 2014年 第8卷 第1期   页码 31-40 doi: 10.1007/s11708-014-0296-8

摘要： This paper applies time series methodologies to examine the causal relationship among electricity demand, real per capita GDP and total labor force for Italy from 1970 to 2009. After a brief introduction, a survey of the economic literature on this issue is reported, before discussing the data and introducing the econometric techniques used. The results of estimation indicate that one cointegrating relationship exists among these variables. This equilibrium relation implies that, in the long-run, GDP and labor force are correlated negatively, as well as GDP and electricity. Moreover, there is a bi-directional Granger causality flow between real per capita GDP and electricity demand; while labor force does not Granger-cause neither real per capita GDP nor electricity demand. This implies that electricity demand and economic growth are jointly determined at the same time for the Italian case. The forecast error variance decomposition shows that forecast errors in real per capita GDP are mainly caused by the uncertainty in GDP itself, while forecast errors in labor force are mainly resulted from the labor force itself, although aggregate income and electricity are important, too.

关键词： energy policies     electricity demand     GDP     labor force     stationarity     structural breaks     cointegration     causality     Italy    

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Demand response based congestion management in a mix of pool and bilateral electricity market model

Ashwani KUMAR, Charan SEKHAR

《能源前沿（英文）》 2012年 第6卷 第2期   页码 164-178 doi: 10.1007/s11708-012-0187-9

摘要： The independent system operator (ISO) is a key element in the deregulated structure with one of the responsibilities of transmission congestion management (CM). The ISO opts market based solutions to manage congestion receiving bids from generation companies (GENCOs) as well as distribution companies (DISCOMs) to reschedule their generation and relocate demand. The nodal prices increases during the congestion hours and the demand response to nodal prices will be an effective tool for the control of congestion. In this paper, demand response-based CM has been proposed for a mix of pool and bilateral electricity market model. The linear bid curves have been considered for demand bids to respond to the congestion in the network. The bilateral demand has been obtained with minimum deviations in their preferred schedule. The impact of flexible alternating current transmission system (FACTS) devices viz static var compensator (SVC) and thyristor controlled series compensator (TCSC) has also been considered for demand management during congestion. Multi-line congestion cases have been considered to study the impact on demand response without and with FACTS devices. The proposed approach has been tested on the IEEE 24 bus test system.

关键词： bid function     congestion management (CM)     demand response     pool+bilateral electricity market     static var compensator (SVC)     thyristor controlled series compensator (TCSC)    

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Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

《能源前沿（英文）》 2018年 第12卷 第3期   页码 426-439 doi: 10.1007/s11708-018-0560-4

摘要：

The Paris Agreement calls for maintaining a global temperature less than 2°C above the pre-industrial level and pursuing efforts to limit the temperature increase even further to 1.5°C. To realize this objective and promote a low-carbon society, and because energy production and use is the largest source of global greenhouse-gas (GHG) emissions, it is important to efficiently manage energy demand and supply systems. This, in turn, requires theoretical and practical research and innovation in smart energy monitoring technologies, the identification of appropriate methods for detailed time-series analysis, and the application of these technologies at urban and national scales. Further, because developing countries contribute increasing shares of domestic energy consumption, it is important to consider the application of such innovations in these areas. Motivated by the mandates set out in global agreements on climate change and low-carbon societies, this paper focuses on the development of a smart energy monitoring system (SEMS) and its deployment in households and public and commercial sectors in Bogor, Indonesia. An electricity demand prediction model is developed for each device using the Auto-Regression eXogenous model. The real-time SEMS data and time-series clustering to explore similarities in electricity consumption patterns between monitored units, such as residential, public, and commercial buildings, in Bogor is, then, used. These clusters are evaluated using peak demand and Ramadan term characteristics. The resulting energy-prediction models can be used for low-carbon planning.

关键词： electricity monitoring     electricity demand prediction     multiple-variable time-series modeling     time-series cluster analysis     Indonesia    

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基于智能体的联网级可再生能源接入模拟及需求响应研究 Artical

David P. Chassin,Sahand Behboodi,Curran Crawford,Ned Djilali

《工程（英文）》 2015年 第1卷 第4期   页码 422-435 doi: 10.15302/J-ENG-2015109

摘要：

本文收集并综合了基于智能体的联网级模型准稳态模拟的技术要求、实施和验证方法，特别关注了可再生发电的接入和可控负荷方面的问题。介绍了已接入可控负荷的建模方法，并将其作为联网规划研究的发电资源置于同一控制与经济建模架构中。本文利用系统参数检验模型的性能，这些参数为联网所用的标准参数，其规模接近西部电力协调委员会(WECC) 规定的规模，控制区域约为系统的1/100。检验结果被用于说明和验证所述的方法。

关键词： 联网研究     需求响应     负荷控制     可再生能源接入     基于智能体的模拟     电力市场    

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A hybrid fuel cell for water purification and simultaneously electricity generation

《环境科学与工程前沿（英文）》 2023年 第17卷 第1期 doi: 10.1007/s11783-023-1611-6

摘要：

● A novel hybrid fuel cell (F-HFC) was fabricated.

关键词： Flow-through field     Hybrid fuel cell     Polyoxometalates     Water purification     Electricity generation    

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Low-carbon technology calls for comprehensive electricity-market redesign

Yang YU

《工程管理前沿（英文）》 2019年 第6卷 第1期   页码 128-130 doi: 10.1007/s42524-019-0020-9

摘要：

The energy transition also calls for electricity- market redesign. Low-carbon technologies will fundamentally reshape the electricity sector. The electricity generation and demand will be significantly unpredictable and uncontrollable thus require for a more sophisticated system operation to guarantee the grid stability and reliability. The higher difficulty induced by the green-technology penetration expose the electricity-market to a higher market-failure risk. Thus, the future low-carbon electricity-market and associated regulation scheme require a comprehensive new design.

关键词： low-carbon technology     electricity-system operation     market design    

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Relationship between electricity consumption and economic growth of Guangdong Province in China

Lianhong LV, Hong LUO, Baoliu ZHANG

《能源前沿（英文）》 2012年 第6卷 第4期   页码 351-355 doi: 10.1007/s11708-012-0209-7

摘要： Guangdong is a province with the most electricity consumption (EC) and the fastest economic growth in China. However, there has long been a contradiction between electricity supply and demand in Guangdong and this trend may exist for a long time in the foreseeable future. Therefore, the research on the relationship between EC and economic growth of Guangdong is of very important practical significance to the formulation of relevant policy. In this paper, the econometrics method of granger causality test and co-integration test is used to analyze the relationship between EC and economic growth of Guangdong from 1978 to 2010. The results indicate that there is unidirectional causality between the economic growth and the EC, and the growth of gross domestic product (GDP) and gross industrial output value (GIOV) is the impetus to promote the growth of installedβcapacity (ICAP) and the EC. Therefore, the appropriate restraint of excessive growth of power industry will not necessarily slow down economic growth. There has been a long-term stable equilibrium relationship between the EC and the economic growth. When the GDP and GIOV grows 1 unit respectively, the EC of Guangdong province will increase 0.97 and 0.64 unit respectively. The long-term marginal utility of the EC is more than 1.

关键词： co-integration     granger causality     electricity consumption (EC)     economic growth    

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An approach to locational marginal price based zonal congestion management in deregulated electricity

Md SARWAR,Anwar Shahzad SIDDIQUI

《能源前沿（英文）》 2016年 第10卷 第2期   页码 240-248 doi: 10.1007/s11708-016-0404-z

摘要： Congestion of transmission line is a vital issue and its management pose a technical challenge in power system deregulation. Congestion occurs in deregulated electricity market when transmission capacity is not sufficient to simultaneously accommodate all constraints of power transmission through a line. Therefore, to manage congestion, a locational marginal price (LMP) based zonal congestion management approach in a deregulated electricity market has been proposed in this paper. As LMP is an economic indicator and its difference between two buses across a transmission line provides the measure of the degree of congestion, therefore, it is efficiently and reliably used in deregulated electricity market for congestion management. This paper utilizes the difference of LMP across a transmission line to categorize various congestion zones in the system. After the identification of congestion zones, distributed generation is optimally placed in most congestion sensitive zones using LMP difference in order to manage congestion. The performance of the proposed methodology has been tested on the IEEE 14-bus system and IEEE 57-bus system.

关键词： locational marginal price (LMP)     distributed generation     pool market     deregulated electricity market     congestion management    

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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

《工程管理前沿（英文）》   页码 486-498 doi: 10.1007/s42524-022-0215-3

摘要： Electricity consumption is one of the major contributors to greenhouse gas emissions. In this study, we build a power consumption carbon emission measurement model based on the operating margin factor. We use the decomposition and decoupling technology of logarithmic mean Divisia index method to quantify six effects (emission intensity, power generation structure, consumption electricity intensity, economic scale, population structure, and population scale) and comprehensively reflect the degree of dependence of electricity consumption carbon emissions on China’s economic development and population changes. Moreover, we utilize the decoupling model to analyze the decoupling state between carbon emissions and economic growth and identify corresponding energy efficiency policies. The results of this study provide a new perspective to understand carbon emission reduction potentials in the electricity use of China.

关键词： electricity consumption carbon emission measurement     LMDI model     decoupling model     data driven    

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Nodal, zonal, or uniform electricity pricing: how to deal with network congestion

Martin WEIBELZAHL

《能源前沿（英文）》 2017年 第11卷 第2期   页码 210-232 doi: 10.1007/s11708-017-0460-z

摘要： In this paper, the main contributions to congestion management and electricity pricing, i.e., nodal, zonal, and uniform electricity pricing, are surveyed. The key electricity market concepts are structured and a formal model framework is proposed for electricity transportation, production, and consumption in the context of limited transmission networks and competitive, welfare maximizing electricity markets. In addition, the main results of existing short-run and long-run congestion management studies are explicitly summarized. In particular, the important interconnection between short-run network management approaches and optimal long-run investments in both generation facilities and network lines are highlighted.

关键词： nodal pricing     zonal pricing     uniform pricing     competitive electricity markets     welfare maximization     redispatch     optimization models    

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Policy entry points for facilitating a transition towards a low-carbon electricity future

《工程管理前沿（英文）》   页码 462-472 doi: 10.1007/s42524-022-0214-4

摘要： This study extends the ambit of the debate on electricity transition by specifically identifying possible policy entry points through which transformative and enduring changes can be made in the electricity and socio–economic systems to facilitate the transition process. Guided by the “essence” of the multi-level perspective — a prominent framework for the study of energy transition, four such entry points have been identified: 1) destabilising the dominant, fossil fuel-based electricity regime to create room for renewable technologies to break through; 2) reconfiguring the electricity regime, which encompasses technology, short-term operational practices and long-term planning processes, to improve flexibility for accommodating large outputs from variable renewable sources whilst maintaining supply security; 3) addressing the impact of coal power phase-out on coal mining regions in terms of economic development and jobs; and 4) facilitating a shift in transition governance towards a learning-based, reflexive process. Specific areas for policy interventions within each of these entry points have also been discussed in the paper.

关键词： electricity transition     multi-level perspective     policy entry points    

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Understanding the demand predictability of bike share systems: A station-level analysis

《工程管理前沿（英文）》   页码 551-565 doi: 10.1007/s42524-023-0279-8

摘要： Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSS and the planning for a new BSS. While researchers have mainly focused on improving prediction accuracy and analysing demand-influencing factors, there are few studies examining the inherent randomness of stations’ observed demands and to what degree the demands at individual stations are predictable. Using Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified the station-level predictability. Additionally, to verify that these predictability measures could represent the performance of prediction models, we implemented two commonly used demand prediction models to compare the empirical prediction accuracy with the calculated entropy and predictability. Furthermore, we explored how city- and system-specific temporally-constant features would impact entropy and predictability to inform estimating these measures when historical demand data are unavailable. Our results show that entropy of demands across stations is polarized as some stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demand uncertainty (a high entropy of around 1.0). We also validated that the entropy and predictability are a priori model-free indicators for prediction error, given a sequence of bike usage demands. Lastly, we identified that key factors contributing to station-level entropy and predictability include per capita income, spatial eccentricity, and the number of parking lots near the station. Findings from this study provide more fundamental understanding of BSS demand prediction, which can help decision makers and system operators anticipate diverse station-level prediction errors from their prediction models both for existing stations and for new ones.

关键词： bike share systems     demand prediction     prediction errors     machine learning     entropy    

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Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

《环境科学与工程前沿（英文）》 2012年 第6卷 第2期   页码 204-212 doi: 10.1007/s11783-011-0364-9

摘要： A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods.

关键词： demand coverage     monitoring     optimization     water distribution network     water quality    

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Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

《能源前沿（英文）》 2010年 第4卷 第4期   页码 459-468 doi: 10.1007/s11708-010-0119-5

摘要： An assessment of the energy demand and the potential for sector-based emission reductions will provide necessary background information for policy makers. In this paper, Beijing was selected as a special case for analysis in order to assess the energy demand and potential of CO abatement in the urban transport system of China. A mathematical model was developed to generate three scenarios for the urban transport system of Beijing from 2010 to 2030. The best pattern was identified by comparing the three different scenarios and assessing their urban traffic patterns through cost information. Results show that in the high motorization-oriented pattern scenario, total energy demand is about 13.94% higher, and the average CO abatement per year is 3.38 million tons less than in the reference scenario. On the other hand, in the bus and rail transit-oriented scenario, total energy demand is about 11.57% less, and the average CO abatement is 2.8 million tons more than in the reference scenario. Thus, Beijing cannot and should not follow the American pattern of high motorization-oriented transport system but learn from the experience of developed cities of Europe and East Asia.

关键词： scenario analysis     urban traffic pattern     energy demand     reduction potential    

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Smart residential energy management system for demand response in buildings with energy storage devices

S. L. ARUN, M. P. SELVAN

《能源前沿（英文）》 2019年 第13卷 第4期   页码 715-730 doi: 10.1007/s11708-018-0538-2

摘要： In the present scenario, the utilities are focusing on smart grid technologies to achieve reliable and profitable grid operation. Demand side management (DSM) is one of such smart grid technologies which motivate end users to actively participate in the electricity market by providing incentives. Consumers are expected to respond (demand response (DR)) in various ways to attain these benefits. Nowadays, residential consumers are interested in energy storage devices such as battery to reduce power consumption from the utility during peak intervals. In this paper, the use of a smart residential energy management system (SREMS) is demonstrated at the consumer premise to reduce the total electricity bill by optimally time scheduling the operation of household appliances. Further, the SREMS effectively utilizes the battery by scheduling the mode of operation of the battery (charging/floating/discharging) and the amount of power exchange from the battery while considering the variations in consumer demand and utility parameters such as electricity price and consumer consumption limit (CCL). The SREMS framework is implemented in Matlab and the case study results show significant yields for the end user.

关键词： smart grid     demand side management (DSM)     demand response (DR)     smart building     smart appliances     energy storage    

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标题 作者 时间 类型 操作

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

期刊论文

Demand response based congestion management in a mix of pool and bilateral electricity market model

Ashwani KUMAR, Charan SEKHAR

期刊论文

Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

期刊论文

基于智能体的联网级可再生能源接入模拟及需求响应研究

David P. Chassin,Sahand Behboodi,Curran Crawford,Ned Djilali

期刊论文

A hybrid fuel cell for water purification and simultaneously electricity generation

期刊论文

Low-carbon technology calls for comprehensive electricity-market redesign

Yang YU

期刊论文

Relationship between electricity consumption and economic growth of Guangdong Province in China

Lianhong LV, Hong LUO, Baoliu ZHANG

期刊论文

An approach to locational marginal price based zonal congestion management in deregulated electricity

Md SARWAR,Anwar Shahzad SIDDIQUI

期刊论文

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

期刊论文

Nodal, zonal, or uniform electricity pricing: how to deal with network congestion

Martin WEIBELZAHL

期刊论文

Policy entry points for facilitating a transition towards a low-carbon electricity future

期刊论文

Understanding the demand predictability of bike share systems: A station-level analysis

期刊论文

Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

期刊论文

Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

期刊论文

Smart residential energy management system for demand response in buildings with energy storage devices

S. L. ARUN, M. P. SELVAN

期刊论文