Export orientation and domestic electricity generation: Effects on energy efficiency innovation in select sectors

Why are some countries developing many energy efficiency innovations, while others are lagging behind? I argue that export orientation and electricity at low variable cost from nuclear and hydropower plants have an interactive effect on energy efficiency innovation. Export-oriented countries have strong incentives to invest in energy efficiency innovation, as they are in a position to export these technology innovations for global markets. But if inexpensive electricity is supplied in a country, the domestic demand for energy efficiency innovation is missing, and so the home market cannot serve as a springboard for international commercialization. I test this theory against international patent data on energy efficiency innovation in insulation, heating, and lighting for 22 OECD countries, 1991–2007. The statistical analysis indicates that export orientation has large positive effects on energy efficiency innovation in countries that do not rely on nuclear and hydroelectricity.     

Emissions from electricity generation in Malaysia

Emissions in the process utilization produce adverse effects on the environment that influence human health, organism growth, climatic changes and so on. The Kyoto protocol, produced by the United Nations Framework Convention on Climate change (UNFCC) in December 1997, prescribed a legally binding greenhouse gas emission target about 5% below their 1990 level. About 160 countries including Malaysia now adopt this protocol. Electricity generation is one of the main contributors to emissions in the country. In order to calculate the potential emissions produced by this activity, the type of fuel use should be identified. Malaysia hopes to gradually change fuel use from 70% gas, 15% coal, 10% hydro, and 5% petroleum in the year 2000 to 40% gas, 30% hydro, 29% coal, and only 1% petroleum by the year 2020. The changes in fuel type have changed the pattern of emission production. This study attempts to predict the pattern of emissions from 2002 to 2020 due to the changes in fuel use. The calculation is based on emissions for unit electricity generated and the percentages of fuel use for electricity generation. The study found that the electricity generation company has produced huge emissions from their power plants in this country.     

A bifunctional electrochemical flow cell integrating ammonia production and electricity generation for renewable energy conversion and storage

Renewable energy has rapidly advanced in the global energy system, triggering the visible development of energy storage technologies in recent decades. Among them, the electricity-fuel-electricity approach is an effective way for the storage and utilization of renewable power. In this work, a bifunctional electrochemical flow cell integrating both ammonia production and electricity generation modes is developed for renewable energy conversion and storage. Ammonia, a hydrogen carrier having a high hydrogen content of 17.6 wt %, is relatively easier to convert to liquid phase for large-scale storage. The long-distance ammonia transport can reliably depend on the established infrastructure. In addition, as a carbon-free fuel beneficial for achieving the goal of carbon-neutrality, ammonia is considered as an environmentally benign and cost-effective mediator fuel. This flow cell is able to operate via two modes, i.e., an ammonia-production mode for energy storage in the form of ammonia (via nitrogen reduction reaction) and an electricity-generation mode for energy conversion in the form of electricity (via ammonia oxidation reaction). This flow cell is constituted by a PtAu/C-coated nickel-foam electrode for nitrogen and oxygen reduction reactions, a Pt/C-coated nickel-foam electrode for water and ammonia oxidation reactions, and an alkaline anion exchange membrane for charge-carrier migration. Charging this flow cell with the supply of nitrogen results in a Faradaic efficiency of 2.70% and an ammonia production rate as high as 9.34 × 10^?10 mol s^?1 cm^?2 at 23 °C. Moreover, energizing this flow cell with ammonia results in an open-circuit voltage of 0.59 V and a peak power density of 3.31 mW cm^?2 at 23 °C. A round-trip efficiency of 25.7% is realized with the constant-electrode mode.     

Public support for energy sources and related technologies: The impact of simple information provision

Increasing public awareness and understanding of alternative energy sources and related technologies is an essential component of informed decision-making regarding new options of generating energy for a low carbon future. The current study examined the influence of psychological factors (i.e., pro-environmental beliefs, and subjective norms) and the provision of factual information on public support for a range of energy sources and related technologies. A representative sample of 1907 Australians completed an on-line survey that measured perceptions of a range of climate change and energy issues. Results showed that support for renewables is stronger than support for traditional fossil-fuel based energy sources (i.e., coal or gas) or nuclear energy. The provision of factual information about generation cost and emissions significantly changed support ratings, particularly when cost information was provided. Regression analyses revealed that pro-environmental beliefs were significantly related to support ratings for alternative energy sources. Subjective norms, however, were the strongest positive explanatory factor, suggesting that social mechanisms may be key drivers of support for new and emerging energy sources and related technologies.     

Sustainability deterioration of electricity generation in Brazil

The power generation sector in Brazil is usually considered to have a high level of sustainability because of its large share of hydropower, about 70%. The annual growth rate of the Brazilian power sector is about 4%/year with a growing capacity addition of fossil fuels, which indicates a deterioration regarding sustainability. This work utilizes multi-criteria analysis coupled with composite indicators to infer the sustainability evolution of the power generation sector in Brazil from 2010 to 2016. Seven criteria were considered: emission of greenhouse gases, immobilized area, use of fuel resources, water use, morbidity, energy generation reliability and energy efficiency. The assessment evidenced wind power and nuclear power plants as the most sustainable options for capacity addition after hydropower. Co-generation and combined cycle technologies should be encouraged in natural gas and biomass projects in order to reduce impacts on sustainability. The assessment is interdisciplinary and admits tradeoffs amongst different impacts and benefits, for instance, environmental impacts versus energy generation reliability. It is proposed that sustainability assessments be incorporated to the formal process of decision making in order to reduce opposition and facilitate obtaining consensus among different stakeholders.     

Life cycle assessment of photovoltaic electricity generation

The paper presents the results of a life cycle assessment (LCA) of the electric generation by means of photovoltaic panels. It considers mass and energy flows over the whole production process starting from silica extraction to the final panel assembling, considering the most advanced and consolidate technologies for polycrystalline silicon panel production. Some considerations about the production cycle are reported; the most critical phases are the transformation of metallic silicon into solar silicon and the panel assembling. The former process is characterised by a great electricity consumption, even if the most efficient conversion technology is considered, the latter by the use of aluminium frame and glass roofing, which are very energy-intensive materials. Moreover, the energy pay back time (EPBT) and the potential for CO₂ mitigation have been evaluated, considering different geographic collocations of the photovoltaic plant with different values of solar radiation, latitude, altitude and national energetic mix for electricity production.     

Optimum energy storage techniques for the improvement of renewable energy sources-based electricity generation economic efficiency

The high wind and solar potential along with the extremely high electricity production cost met in the majority of Greek Aegean islands comprising autonomous electrical networks, imply the urgency for new renewable energy sources (RES) investments. To by-pass the electrical grid stability constraints arising from an extensive RES utilization, the adaptation of an appropriate energy storage system (ESS) is essential. In the present analysis, the cost effect of introducing selected storage technologies in a large variety of autonomous electrical grids so as to ensure higher levels of RES penetration, in particular wind and solar, is examined in detail. A systematic parametrical analysis concerning the effect of the ESSs’ main parameters on the economic behavior of the entire installation is also included. According to the results obtained, a properly sized RES-based electricity generation station in collaboration with the appropriate energy storage equipment is a promising solution for the energy demand problems of numerous autonomous electrical networks existing worldwide, at the same time suggesting a clean energy generation alternative and contributing to the diminution of the important environmental problems resulting from the operation of thermal power stations.     

Grid flexibility and storage required to achieve very high penetration of variable renewable electricity

We examine the changes to the electric power system required to incorporate high penetration of variable wind and solar electricity generation in a transmission constrained grid. Simulations were performed in the Texas, US (ERCOT) grid where different mixes of wind, solar photovoltaic and concentrating solar power meet up to 80% of the electric demand. The primary constraints on incorporation of these sources at large scale are the limited time coincidence of the resource with normal electricity demand, combined with the limited flexibility of thermal generators to reduce output. An additional constraint in the ERCOT system is the current inability to exchange power with neighboring grids.     

New thinking on the agentive relationship between end-use technologies and energy-using practices

The subject of efficient technologies and how to get them into the homes and hands of users has been at the centre of energy efficiency policy from its inception. What the record shows is that efficient technologies may well increase the efficiency of energy throughput but that promised reductions in energy demand seldom pan out. Confronted with this problem, the usual policy approach has been to work harder to get markets, incentives and information to loosen up the ‘barriers’ to technology penetration. Social scientists have been recruited to facilitate markets with better information and incentives, in other words, to improve the behaviour of energy end-users. The paper argues that both technologists and behaviouralists have oversimplified the ways that technologies and socio-cultural contexts interact to affect energy-using practices. The concept of distributed agency is introduced to capture the theoretical link between technology and behaviour. The examples of air conditioning and food refrigeration are used to illustrate these points.

Economical evaluation of electricity generation considering externalities

The economics of renewable energy are the largest barrier to renewable penetration. Nevertheless, the strong desire to reduce environmental emissions is considered a great support for renewable energy sources. In this paper, a full analysis for the cost of the kWh of electricity generated from different systems actually used in Egypt is presented. Also renewable energy systems are proposed and their costs are analyzed. The analysis considers the external cost of emissions from different generating systems. A proposed large scale PV plant of 3.3 MW, and a wind farm 11.25 MW grid connected at different sites are investigated. A life cycle cost analysis for each system was performed using the present value criterion. The comparison results showed that wind energy generation has the lowest cost, followed by a combined cycle–natural gas fired system. A photovoltaic system still uses comparatively expensive technology for electricity generation; even when external costs are considered the capital cost of photovoltaic needs to be reduced by about 60% in order to be economically competitive.     

Efficiency-improving fossil fuel technologies for electricity generation: Data selection and trends

This paper studies patenting dynamics in efficiency improving electricity generation technologies as an important indicator of innovation activity. We build a novel database of worldwide patent applications in efficiency-improving fossil fuel technologies for electricity generation and then analyse patenting trends over time and across countries. We find that patenting has mostly been stable over time, with a recent decreasing trend. OECD countries represent the top innovators and the top markets for technology. Some non-OECD countries, and particularly China, are also very active in terms of patenting activity in this sector. The majority of patents are first filed in OECD countries and only then in BRIC and other non-OECD countries. BRIC and other non-OECD countries apply for patents that are mostly marketed domestically, but BRIC countries represent important markets for patent duplication of OECD inventions. These results are indicative of significant technology transfer in the field of efficiency-improving technologies for electricity production.     

Incorporating carbon capture and storage technologies in integrated assessment models

Low-carbon emitting technologies are a key component of technical change in integrated assessment models. We develop a methodology for incorporating technologies into computable general equilibrium economic models and demonstrate this methodology by implementing carbon capture and storage technologies in the MIT Emissions Prediction and Policy Analysis (EPPA) model. Three primary implementation issues are discussed: characterization of the technical system, translation of bottom–up engineering information into an economic model, and the depiction of realistic technology adoption rates. The specification of input substitution, relative costs, and plant dispatch are the most critical factors in technology representation. Technology adoption rates in economic models are governed by exogenous and endogenous constraints. A comparison of the current approaches used in economic models with the theoretical and empirical factors affecting adoption rates highlights opportunities for refining the current methods.     

Innovation performance of the US American and European electricity supply industry

Using a production function approach based on Cobb–Douglas, this analysis relates R&D efforts of 32 electric utilities on both sides of the Atlantic to their performance in terms of labour productivity. We find that higher R&D levels generally have a positive impact on revenues. However, only in the sub-sample of 16 electricity suppliers in Europe this effect is significant. Knowledge spill-over effects can be estimated for the US American sub-sample, since US utilities have bundled their R&D efforts in a centralized research institution and have to report that data. Our analysis reveals, though, that collaborative research efforts do not lead to positive spill-overs at the assumption of a time delay of one year.     

LCI (Life cycle inventory) analysis of fuels and electricity generation in Singapore

This article offers a unique three-stage approach in LCI analysis for generating the environmental profile of electricity generation in Singapore. The first stage focuses on fuels delivered to Singapore, next on electricity generated from various types of power production plants. The third stage integrates the entire life cycle study. The final gate-to-gate results show that the total CO₂ emissions from the national grid are 455.6 kg CO₂ per MWh without any loss in transmission and 467.0 kg CO₂ per MWh with 2.5% losses. The results for the entire cradle-to-gate energy production are: 586.3 kg CO₂ per MWh without considering any losses and 601.0 kg CO₂ per MWh with 2.5% transmission loss. For the rest of the LCI, the cradle-to-gate results (per MWh) are kg 0.19 CO (carbon monoxide), 0.06 kg N₂O (nitrous oxide), 1.94–1.99 kg NO_x (nitrogen oxides), 2.94–3.01 kg SO_x (sulphur oxides), 0.064–0.066 kg VOC (volatile organic compounds) and 0.078–0.080 kg PM (particulate matters). From gate-to-gate, the results are 0.12 kg CO, 0.0016 kg N₂O, 1.42–1.46 kg NO_x, 2.56–2.62 kg SO_x, 0.033–0.034 kg VOC and 0.067–0.069 kg PM. Emissions of CO₂ from energy generation, climate change mitigation and policies for energy security are also discussed.     

Diversity and security in UK electricity generation: The influence of low-carbon objectives

We explore the relationship between low-carbon objectives and the strategic security of electricity in the context of the UK electricity system. We consider diversity of fuel source mix to represent one dimension of security—robustness against interruptions of any one source—and apply two different diversity indices to the range of electricity system scenarios produced by the UK government and independent researchers. Our results show that low-carbon objectives are uniformly associated with greater long-term diversity in UK electricity generation. With reference to data on wind generation we also consider the impact of source variability on a second dimension of security—the reliability of generation availability. We conclude that this does not undermine our fundamental conclusion that low-carbon scenarios are associated with greater strategic security of supply in UK electricity. We discuss reasons for this result, explore sensitivities, and briefly discuss possible policy instruments associated with diversity and their limitations.     

Impact of climate policy uncertainty on the adoption of electricity generating technologies

This paper presents a real options model where multiple options are evaluated simultaneously so that the effect of the individual options on each other is accounted for. We apply this model to the electricity sector, where we analyze three typical technologies based on fossil fuel, fossil fuel with carbon capture and renewable energy, respectively. In this way, we can analyze the transition from CO₂-intensive to CO₂-neutral electricity production in the face of rising and uncertain CO₂ prices. In addition, such a modelling approach enables us to estimate precisely the expected value of (perfect) information, i.e. the willingness of investors and producers to pay for information about the correct CO₂ price path. As can be expected, the expected value of information rises with increasing CO₂ price uncertainty. In addition, the larger the price uncertainty, the larger are the cumulative CO₂ emissions over the coming century. The reason for this is that the transition to less CO₂-intensive technologies is increasingly postponed with rising CO₂ price uncertainty. By testing different price processes (geometric Brownian motion versus jump processes with different jump frequencies), we can also make useful recommendations concerning the importance of policy predictability. We find that it is better to have climate change policies that are stable over a certain length of time and change abruptly than less abrupt but more frequently changing policies. Less frequent fluctuations reduce the expected value of information and result in smaller cumulative CO₂ emissions.     

Assessment of oxyfuel power generation technologies

In this work, a cost–benefit analysis concerning the use of oxyfuel combustion technology is carried out. For the analysis, the IPP optimization software is used in which a decouple optimization method for power technology selection in competitive markets is employed and the electricity unit cost and the CO₂ avoidance cost are calculated. The results indicate that oxyfuel technology is a competitive CO₂ capture and storage (CCS) technology. In addition, the effect of varying loan interest rates was investigated in the economic performance of an oxyfuel combustion plant. This analysis, revealed that up to a value of loan interest of approximately 5.3% the oxyfuel plant retains the competitive electricity unit costs (compared to other CCS technologies). For higher interest rate levels, other CCS technologies become more economically attractive.     

Multivariate Granger causality between electricity generation,exports, prices and GDP in Malaysia

This paper employs annual data for Malaysia from 1970 to 2008 to examine the causal relationship between economic growth, electricity generation, exports and prices in a multivariate model. We find that there is unidirectional Granger causality running from economic growth to electricity generation. However, neither the export-led nor handmaiden theories of trade are supported and there is no causal relationship between prices and economic growth. The policy implication of this result is that electricity conservation policies, including efficiency improvement measures and demand management policies, which are designed to reduce the wastage of electricity and curtail generation can be implemented without having an adverse effect on Malaysia’s economic growth.     

A review of electrical energy storage technologies for renewable power generation and smart grids

储能技术是突破可再生能源大规模开发利用瓶颈的关键技术,是智能电网的必要组成部分.在储能市场商业化雏形阶段,系统性的比较分析各类储能技术的性能特点,为未来市场发展提供筛选技术路线的框架基础至关重要.本文阐述了储能技术在可再生能源发电和智能电网中的作用,对物理储能(抽水蓄能,压缩空气储能,飞轮储能),电化学储能(二次电池,液流电池),其它化学储能(氢能,合成天然气)等储能技术进行了系统的比较与分析,最后提出储能技术的发展趋势.     

Analysis of the market penetration of clean coal technologies and its impacts in China's electricity sector

This paper discusses policy instruments for promoting the market penetration of clean coal technologies (CCTs) into China's electricity sector and the evaluation of corresponding effects. Based on the reality that coal will remain the predominant fuel to generate electricity and conventional pulverized coal boiler power plants have serious impacts on environment degradation, development of clean coal technologies could be one alternative to meet China's fast growing demand of electricity as well as protect the already fragile environment. A multi-period market equilibrium model is applied and an electricity model of China is established to forecast changes in the electricity system up to 2030s. Three policy instruments: SO₂ emission charge, CO₂ emission charge and implementing subsidies are considered in this research. The results show that all instruments cause a significant shift in China's electricity structure, promote CCTs’ competitiveness and lead China to gain great benefit in both resource saving and environment improvement. Since resource security and environment degradation are becoming primary concerns in China, policies that could help to gain generations’ market share of advanced coal-based technologies such as CCTs’ is suitable for the current situation of China's electricity sector.