Thinking critically about smart city experimentation: entrepreneurialism and responsibilization in urban living labs

ABSTRACT

The proliferation of smart technologies, big data, and analytics is being increasingly used to address urban socio-environmental problems such as climate change mitigation and carbon control. Electricity systems in particular are being reconfigured with smart technologies to help integrate renewable generation, enhance energy efficiency, implement new forms of pricing, increase control and automation, and improve reliability. Many of these interventions are experimental, requiring real-world testing before wider diffusion. This testing often takes place in “urban living labs,” integrating urban residents as key actors in experimentation with goals for broader sustainability transitions. In this paper, I investigate one such urban living lab focused on smart grid research and demonstration in a residential neighbourhood in Austin, Texas. I develop a framework based in governmentality studies to critically interrogate urban experimentation. Findings suggest that the focus of experimentation devolves urban imperatives into individual responsibilities for socio-environmental change. Managing carbon emissions through energy efficiency, renewable energy, and conservation is promoted as a form of self-management, wherein households reconfigure everyday activities and/or adopt new technologies. At the same, sociotechnical interventions are shaped by technology companies, researchers, and policy-makers marking a central feature of contemporary urban entrepreneurialism. This skews the potential of active co-production, and instead relies on the delegation of responsibility for action to a constrained assemblage of smart technologies and smart users.     

Economic dispatch of power system containing wind power and photovoltaic considering carbon trading and spare capacity variation

The drying up of the fossil energy sources and the damage from unchecked carbon emissions demand the development of low carbon economy, which promotes the development of new energy sources, such as wind power and photovoltaic. However, the direct connections of wind/photovoltaic power into power grid bring great impacts on power systems, thus affecting the security and stability of power system operations, which challenges the power system dispatching. In despite of many methods for power system dispatch, lack of the models, for power system containing wind power and photovoltaic considering carbon trading and spare capacity variation (PSCWPCCTSCV), restricts the further optimal operations of power systems. This paper studies the economic dispatch modeling problem of power system containing wind power and photovoltaic, establishes the model of economic dispatch of PSCWPCCTSCV. On this basis, adaptive immune genetic algorithm is applied to conduct the economic operation optimization, which can provide the optimal carbon trading price and the optimal power distribution coefficient. Finally, simulations based on the newly proposed models are made to illustrate the economic dispatch of PSCWPCCTSCV. The results show that optimization with the proposed model can not only weaken the volatility of the new energy effectively, but also reduce carbon emissions and reduce power generation costs.     

Optimization of grid tied hybrid power system in smart premises

Tapping of renewable energy sources like solar and wind is given great priority by power producers all over the world. Technical problems of linking them to the grid are solved. The cost constraints of utilizing renewable energy at specific locations are to be determined. In this work, a model is developed for grid tied hybrid power system (HPS) consisting of photovoltaic (PV) module and wind mill at the roof top of smart premises. The grid is capable of delivering and receiving energy. Objective function is formed with constraints taking into account the cost of PV module, wind mill, and grid tied inverter with controller. The constraints are rating of HPS and energy that can be delivered to the grid. Using this model, case studies were conducted in three locations in India, each location having two different demands. The results are presented. With the optimal rating of HPS, results shows that, conventional energy cost is higher.     

A novel radiant floor system: Detailed characterization and comparison with traditional radiant systems

ABSTRACT

Radiant floor systems have the potential to reduce energy consumption and the carbon footprint of buildings. This study analyzed a novel radiant panel configuration comprising a metal plate with small spikes that can be pressed into cement board or wood. The behavior of this configuration was simulated for different materials for the metal plate, spike dimensions, and varying spacing between spikes. An annual energy simulation model compared the radiant panel configuration with the traditional concrete-based system. Simulations were run under heating dominant, cooling dominant, and neutral conditions; significant cost savings and greenhouse gas emission reduction were seen across all scenarios.     

工业园区低碳发展模式评估与规划分析

通过对工业园区低碳发展模式的评估,分析其低碳发展的能源特征、经济特征与人力特征,并确定工业园区二氧化碳减排的潜力能源。基于能源-碳减排(EC)、经济-能源-碳减排(EEC)和人力-经济-能源-碳减排(HEEC)三种不同情景,在未来发展的一定规划期内,对工业园区具有二氧化碳减排潜力的能源进行规划分析,确定其年递减率,从而实现工业园区不同情景下的二氧化碳减排。通过实际案例研究,证明了评估与规划分析模型的可行性。     

Environmental policy stringency,renewable energy consumption and CO2 emissions: Panel cointegration analysis for BRIICTS countries

ABSTRACT

The aim of this paper is to investigate the relationship between environmental policy stringency and CO₂ emissions in BRIICTS (Brazil, Russia, India, Indonesia, China, Turkey and South Africa) for the period 1993–2014 after controlling for renewable energy, fossil energy, oil prices and income. We believe that this is the first attempt to use the recently OECD-developed environmental policy stringency index to test the effectiveness of environmental stringency policy in reducing CO₂ emission in these countries. Applying the Panel Pooled Mean Group Autoregressive Distributive Lag (PMG-ARDL) estimator, we found an inverted U–shaped relationship between environmental policy stringency and CO₂ emissions. This suggests that initially strict stringent environmental policy does not lead to improvements in the environment but after a certain level or a threshold point, environmental stringency policy leads to improvement in environmental quality. Renewable energy consumption was negatively related to CO₂ emissions while fossil energy consumption and real oil prices and income were positively and significantly related to CO₂. Our findings suggest that strengthening the stringency of environmental policies and promoting renewable energy are effective ways of preventing environmental degradation in BRIICTS countries.     

基于智能能源网的资源开发与市场匹配模式研究——以煤基低碳能源转化为例

智能能源网是我国＂十二五＂期间完善资源开发及能源转化的重点科研攻关课题。以煤基低碳能源转化为例,提出基于智能能源网的资源开发模式。该模式可从根本上改善我国传统的对原生资源低效和掠夺式的开发方式,提高从原生资源到能源商品整个过程的资源转化效率,在极大程度上减少生产过程中对环境造成的碳排放污染。其市场匹配模式应以政府作为引导主体,按市场化所处的不同阶段积极施行经济和科技体制改革。     

The promise of smart grids

ABSTRACT

It is the promise of smart grids – their anticipated role in meeting economic, social, environmental policy objectives – that is driving action on smart grids worldwide, while the reality is rather more messy. This paper is about the implementation of smart grids in Australia, and examines the degree to which environmental and social promises have materialised (or not) within two large energy smart grid initiatives undertaken in the period 2009–2014: the federal government-sponsored Smart Grid Smart City Program and the State of Victoria’s Advanced Metering Infrastructure Program. The analysis draws on a governmentality approach to examine how the promise of smart grids has not for the most part been delivered, concentrating in particular on how new digital technologies have not “behaved” in the way originally planned. Within a governmentality framework, it is generally assumed that technologies work to support government programmes, to accomplish governance. But growing evidence points to smart grid technologies undermining the promise of smart grids. Such a finding stands at odds with the assumption in governmentality about technologies doing work in consort with rationalities of government.     

Potential energy production from organic waste and its environmental and economic impacts at a tertiary institution in Palestine

Municipal solid waste (MSW) is one of the most well-known biomass resources that can be utilized to produce renewable energy. Numerous countries are plagued by the proliferation of waste, particularly organic waste that can be utilized for energy recovery. Palestine suffers from inefficient solid waste management, and only recently have a few projects focused on bioenergy production been implemented. Throughout the years, the city of Tulkarm experiences power outages which cause a challenge to the Palestine Technical University-Kadoorie campus in Tulkarm. Thus, the possibility of energy recovery from the organic portion in Palestine Technical University-Kadoorie was evaluated. The analysis of an economic impact included discussions of a number of economic aspects, including Levelized cost of energy, internal rate of return, present worth, annual worth, and payback period. On the other hand, a carbon dioxide savings analysis and gas emission were evaluated. The outcomes of the energy optimization demonstrated that the suggested system could supply the institution with an average of roughly 7 MWh of electrical energy. According to the economic study, this project offers 0.25 million dollars in present value, 0.144 million dollars in annual value, a 13 percent internal rate of return, a payback period of 6 years, and a levelized cost of energy of 0.11 dollars for each kWh generated. Additionally, the environmental assessment revealed that this system might reduce CO₂ emissions by around 8,343,778 tons. For effective waste management, energy recovery, and emission reduction, it is advised to implement anaerobic digestion technology.     

采油作业区节能减排探索与实践

H作业区经过对节能减排中问题的总结,实施了哈得四联合站放空气回收轻烃外输、哈得一联合站二段气回收、污水闭路循环回收利用、淡化水流程优化等节能减排工程,促进了节能减排,减少了碳排放,实现了清洁生产,取得了较好的经济效益和环境效益。     

Smart meter data and equitable energy transitions – can cities play a role?

ABSTRACT

The ability of smart cities to address multiple priorities is currently receiving a great deal of attention from governments, industry and academia; however, there are relatively few explorations of how smart cities will be enacted and the equity implications of various elements of the agenda. This paper aims to begin to address this by considering the case of smart meter data in Great Britain and reviewing the potential for public interest benefits to be realised at both a national and city-scale. In order to interrogate how societal benefits of smart metering might be enabled or constrained at different scales, both transition management approaches to understanding the intricacies of transforming socio-technical systems, and urban governance literatures which explore the problems in aligning “smart” and “sustainable” agendas, are engaged with. The case suggests that there is great potential for smart meter data to deliver public interest benefits and in doing so contribute to equity in energy transitions through promoting the accrual of benefits to collective rather than solely individual or commercial interests. Despite this, under the current smart metering framework city-scale actors are largely excluded from utilising smart metering data unless they partner with a large incumbent company. This suggests that the configuration of national smart metering arrangements could be further embedding a marketised approach to smart cities and demonstrates the complex interlinking of socio-political processes operating across multiple scales in energy transitions.     

考虑“水—土—能—碳”关联的我国工农业碳排放效率及减排潜力研究

考虑“水—土—能—碳”关联,本文将水土资源要素纳入投入变量,构建了我国工农业碳排放效率投入产出测度指标,运用考虑非期望产出的SBM-undesirable模型计算我国29个省份2004—2017年农业、工业部门碳排放效率,利用乘法逆转法计算碳减排潜力并对影响碳排放的投入产出因素进行分析。结果表明：研究期内我国整体农业、工业碳排放效率均呈波动下降趋势,各年的农业碳排放效率均高于工业碳排放效率,江苏、山东等7省份农业碳排放效率以及北京、天津工业碳排放效率最优;各省份农业、工业减排潜力和规模具有显著差异,山西、甘肃的农业、工业碳减排均具有较大潜力;我国绝大多数省份均存在农业、工业的资源能源投入冗余和非期望产出冗余,土地资源投入过剩是影响农业碳排放效率的最重要因素,水资源投入过剩是影响工业碳排放效率的最重要因素。碳排放效率较低省份应积极开展技术创新,发展低碳技术,提高水土资源和能源利用效率,减少碳排放。     

中国清洁电力发展对二氧化碳排放的空间效应及影响路径研究

有关清洁电力是否有效降低二氧化碳排放,有两种不同观点,本文分析了产生争议的原因,并基于机理分析,选取1998—2018年中国30个省份的相关数据,利用空间面板杜宾模型研究清洁电力发展对区域二氧化碳排放的影响。回归结果显示：①二氧化碳排放在省域之间具有显著的正向空间溢出效应。②清洁电力发展与二氧化碳排放之间呈倒U形关系并通过了一系列稳健性检验。③进一步地通过效应分解发现,清洁电力发展无论是直接效应还是间接效应,均需要达到一定的门槛值之后才会对区域二氧化碳排放产生促减效用。最后,通过中介效应模型检验发现,清洁电力发展带来的能源消费结构调整和能源利用效率改变是影响二氧化碳排放的作用机制。     

Smart city data architecture for energy prosumption in municipalities: concepts,requirements, and future directions

ABSTRACT

Big data is gaining visibility and importance, and its use is attaining higher levels of influence within municipalities. Due to this proliferation smart cities are posed to deploy architectures toward managing energy for Electric Vehicles (EV) and orchestrate the production, consumption, and distributing of energy from renewable sources such as solar, wind etc. in communities also known as prosumption. In smart city domain, Enterprise Architecture (EA) can be employed to facilitate alignment between municipality goals and the direction of the city in relation to Information Technology (IT) that supports stakeholders within the city. Hence, the alignment between IT and goals of the city is a critical process to support the continued growth and improvement of city services and energy sustainability. However, despite several research effort focused on data architecture in smart city, there have been few studies aimed at exploring how EA can be applied in smart cities to support residential buildings and EV for energy prosumption in municipalities. Therefore, this study conducts an extensive review and develops an architecture that can be employed in smart city domain based on big data management for energy prosumption in residential buildings and EV. Furthermore, secondary data was employed to present a case study to show the applications of the developed architecture in promoting energy prosumption. Findings suggest that the architecture provides interoperable open real-time, online, and historical data in facilitating energy prosumption. Respectively, this study offers exchange of data for sharing energy resources and provides insights to improve energy prosumption services.     

中央空调节能减排技术改造——实例探析

通过实施中央空调系统全方位节能减排技术,优化电网安全用电,节省电费开支,减少建设成本。不仅可收到可观的经济效益,而且能取得良好的社会效益,是我国建设资源节约型、环境友好型社会的必然要求。节能减排,减少污染,应立足本职．把节能减排工作抓紧抓好,推而广之。     

CO2 transportation for carbon capture and storage: Sublimation of carbon dioxide from a dry ice bank

Climate change is being caused by greenhouse gases such as carbon dioxide (CO₂). Carbon capture and storage (CCS) is of interest to the scientific community as one way of achieving significant global reductions of atmospheric CO₂ emissions in the medium term. CO₂ would be captured from large stationary sources such as power plants and transported via pipelines under high pressure conditions to underground storage. If a downward leakage from a surface transportation system module occurs, the CO₂ would undergo a large temperature reduction and form a bank of “dry ice” on the ground surface; the sublimation of the gas from this bank represents an area source term for subsequent atmospheric dispersion, with an emission rate dependent on the energy balance at the bank surface. Gaseous CO₂ is denser than air and tends to remain close to the surface; it is an asphyxiant, a cerebral vasodilator and at high concentrations causes rapid circulatory insufficiency leading to coma and death. Hence a subliming bank of dry ice represents safety hazard. A model is presented for evaluating the energy balance and sublimation rate at the surface of a solid frozen CO₂ bank under different environmental conditions. The results suggest that subliming gas behaves as a proper dense gas (i.e. it remains close to the ground surface) only for low ambient wind speeds.     

我国智慧碳监管建设的发展路径探究

智慧碳监管是政府、园区、企业实施碳减排的现代治理手段,通过运用大数据平台,对碳排放数据进行实时监控、追踪等,实现碳排放的监控预警、考核、评估、决策等,是推进“双碳”战略的重要保障。我国碳监管的应用尚处于初级阶段,推进实施智慧碳监管既是发展方向,也面临诸多挑战。本文分析了我国智慧碳监管的发展状况、实践进展和实践特征,围绕数据管理体系、政策支撑体系、系统技术体系、创新功能应用、服务保障体系等方面存在的关键问题,提出了相应的系统策略,助推我国碳监管的智慧化发展与创新实践。     

Hydrogen production from biomass

The ‘hydrogen economy’ has received considerable attention in academic, industrial and political contexts. There are opportunities for vast reductions in greenhouse gas emissions, increased energy security and greater overall efficiency. However, if hydrogen is to become a fundamental energy source for electrical power generation, as well as a transportation fuel, novel generation pathways will be necessary to meet the increase in demand. A promising means for generating hydrogen is the thermochemical conversion of biomass to a synthesis gas, composed of a mixture of hydrogen, carbon monoxide, carbon dioxide and methane. In order to manipulate the composition and maximise the hydrogen output, a calcium-based carbon dioxide sorbent can be utilised in situ. The removal of carbon dioxide alters the reaction chemistry to preferentially produce hydrogen. In this work we report on the characterisation of a likely Ca-based carbon dioxide sorbent and demonstrate the merits of hydrogen production from biomass, with in situ carbon dioxide capture, on the basis of a thermodynamic study. Using this model we show that hydrogen output from biomass gasification can be increased from 40%-vol to 80%-vol (dry basis) when a carbon dioxide sorbent is used.     

Carbon flows and carbon use in the German anthroposphere: An inventory

Today, global climate change is one of the most urgent environmental problems. The atmospheric concentration of carbon dioxide (CO₂) has to be stabilised by significant reductions of CO₂ emissions in the next decades to keep the expected temperature rise within tolerable borders. Efforts exceeding the implemented measures to reduce CO₂ emissions in Germany are desirable. An important pre-condition for such measures is a scientific-based inventory of the sources, sinks, and use of carbon.In this paper, we present CarboMoG, i.e. Carbon Flow Model of Germany. CarboMoG is a carbon flow model covering carbon flows, carbon sources and sinks in Germany and the German anthroposphere, showing concurrent energy and non-energy use of carbon sources.The model consists of seven modules in German anthroposphere following the German classification of economic sectors. Carbon flows to and from atmosphere and lithosphere as well as imports and exports were included into the model. The model comprises roughly 220 material flows determined based on material flow procedures for the base year 2000.Main sources of carbon are fossil energy carriers from lithosphere and uptake of CO₂ by crops (52% resp. 48% of all carbon sources). The model calculations show that import of energy carriers dominates total carbon import to Germany (82%). Total non-energy use of carbon in Germany is significantly higher than energy use (386 Mt C and 230 Mt C, resp.). Carbon throughput of Industry is greatest (about 224 Mt C input), followed by Energy (about 129 Mt C input). Agriculture and Forestry & Industry show the highest figure for non-energy use of carbon, energy use of carbon is largest in the Energy sector. Emissions of CO₂ to atmosphere account for 94% of all carbon flows to sinks in Germany. Carbon accumulates in German anthroposphere 5 Mt C in 2000.