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Abstract To further improve the cycle efficiency with the heat transfer curves between higher than 350 °C heat resource and the evaporating working medium of the Kalina cycle and to reduce the exhaust temperature of heat resource, the dual-pressure vaporization Kalina cycle for cascade utilization of high-to-mid grade heat resource is proposed. The optimization was conducted for parameters in this modified Kalina cycle such as concentrations of work solution and basic solution, evaporation dew point temperature. Under the conditions of inlet temperatures of heat resource and cooling water of respectively 400 °C and 25 °C and the constraints of proper heat transfer pinch point temperature differences, the maximum evaporation pressure not exceeds 20 MPa, the vapour quality at the turbine outlet is greater than 0.85 and the exhaust temperature of heat resource is not lower than 90 °C, the optimum parameters are obtained that the work and basic concentrations are 0.45 and 0.272 respectively, the dew point temperature of evaporation is 300 °C, and the corresponding power recovery efficiency of the dual-pressure vaporization Kalina cycle reaches 27%, which is 17% higher than that of the Kalina cycle with optimum parameters.

This research examines the economic implications of different designs for a national low carbon fuel standard (NLCFS) for the road transportation sector. A NLCFS based on the average Carbon Intensity (CI) of all fuels sold generates an incentive for fuel suppliers to reduce the measured CI of their fuels. The economic impacts are determined by the availability of low carbon fuels, estimates of which can vary widely. Also important are the compliance path, reference level CI, and the design of the credit system, particularly the opportunities for trading and banking. To quantitatively examine the implications of a NLCFS, we created the Transportation Regulation and Credit Trading (TRACT) Model. With TRACT, we model a NLCFS credit trading system among profit maximizing fuel suppliers for light- and heavy-duty vehicle fuel use for the United States from 2012 to 2030. We find that credit trading across gasoline and diesel fuel markets can lower the average costs of carbon reductions by an insignificant amount to 98% depending on forecasts of biofuel supplies and carbon intensities. Adding banking of credits on top of trading can further lower the average cost of carbon reductions by 5%–9% and greatly reduce year-to-year fluctuations in credit prices.

SummaryStudies investigated the patient‐care (in‐hospital) and outside‐the‐hospital energy consumptions for delivering the hemodialysis (HD) service. A life cycle inventory methodology was used for this patient‐based analysis for two hospitals located in Wichita, Kansas. It was found that, for both hospitals, the actual HD machines consumed approximately 3.5 kilowatt‐hours (kWh) of electrical energy per HD, only 8% to 16% of the total energy used for delivering the HD service (in hospital). This increases to 9.6 to 28.9 kWh of hospital billable energy for the whole system of HD machine, auxiliaries, and dialysis water treatment. Converting these hospital direct electrical energy values to natural resource energy (nre) then adding the cradle‐to‐gate natural resource energy for the manufacturing and supply chain of all the HD consumables, the total is 78 to 149 kWh nre/HD. The nre measures all the direct fuel burned to generate energy and is thus directly related to emissions to the air, water, and land and is a direct secondary impact on public health from HD. The ratio of outside‐the‐hospital energy to direct hospital HD electrical energy consumption is 4:1 to 7:1, so a broader base exists for improvement than just the hospital.

Abstract Climate change impacts may manifest via multiple pathways, often leading to a shortage of resources, reduction in production capacities, or reduction in available labor inputs that are vital for economic activities. Effective climate change adaptation strategies are needed to determine the optimal allocation of scarce resources, commodities or capital under crisis conditions to minimize the economic consequences. In such cases, it is necessary to account for structural properties of economic systems to ensure that rational distribution policies are implemented. Input–output models are used to illustrate interdependencies among economic sectors and to assess both direct and indirect effects of disruptive events. Alternatively, these interdependencies may be exploited for developing effective recovery efforts to minimize the ripple effects of a crisis. In this paper, a process graph representation of the input–output model is developed to generate a rational procedure for the allocation of scarce resources, commodities or capital during crisis conditions. The process graph model is a graph-theoretic approach originally developed for chemical process design applications. The analogous problem structure allows it to be used for the input–output system. The method is demonstrated through several case studies to identify allocation policies geared towards reducing the impact of disruptions attributed to critical resources, commodities, or capital. Results show that depending on the economic structure, the optimal allocation of scarce resources, commodities or capital will satisfy the final demands of some economic sectors and reduce the production capacity of others in order to minimize the reduction of total gross domestic product. Though similar results can be obtained through traditional mathematical programming models, the process graph platform has the advantage to visually present the distribution of scarce resources, commodities or capital within the system. This work is a first attempt to implement the process graph approach in the fields of economics and climate change adaptation. In conclusion, the process graph based approach developed in this work can be used to provide policymakers with insights in developing appropriate risk mitigation plans associated with climate change-induced crisis conditions. Potential applications include both the development of disaster preparedness measures for anticipated disruptions, as well as the implementation of real-time emergency response in the midst of a crisis.

Waste printed circuit boards is one of the main electronic waste,which has serious pollution,it has valuable metal and nometal.So its processing method is a very complex problem.There are a variety of recovery methods since the birth of waste printed circuit boards,and the most widely used method is mechanical method,which is practical and avoids the problem of environmental pollution.This article describes the recovery process of mechanical method of recycling waste printed circuit boards and the equipment used, and summarizes the status quo of mechanical method of recycling waste printed circuit boards in China and abroad.

Emission Trading Scheme (ETS) has the potential to influence energy consumption, environmental quality and economy directly and ETS price is the key of ETS market. On December 27, 2017, China's carbon trading market was officially launched, which may be the largest platform of ETS in the world. Therefore, this paper seeks to assess the influencing factors of emission trading price (industry coverage, the annual decline factor, and free allowance rate) and analyzes the impact mechanism in detail by applying computable general equilibrium model. The results show that ETS price and emission reduction have a significant positive correlation; key factors can impact the price significantly. Fewer industries, higher annual decline factor, and higher free allowance rate will push ETS price up. The paper also found that ETS prices are unpredictable when the mechanism is not yet fully determined. It further, argues that ETS prices are unpredictable when the mechanism is not yet fully determined because of the high relationship between ETS price and the mechanism of ETS. These findings will assist policymakers to build a healthy ETS market. The important implication is that we can adjust the market price by adjusting these mechanisms.

We estimate models that identify the economic and organizational determinants of crude oil production by individual OPEC nations. To clarify the interpretation of econometric results, we model production with specifications that resolve the statistical ordering of variables and estimate models with techniques that can cope with stochastic trends in the time series. We also analyze the short-run dynamics for asymmetries that may carry important insights about OPEC behavior. Results indicate that Quotas are an important determinant of production and their effects generally are symmetric, which implies that OPEC is an organization that influences production and ultimately prices. Real prices generally have a positive effect on production and the size of this effect may depend on spare capacity, which implies that OPEC behaviors also embody competitive elements. Finally all nations other than Saudi Arabia show some form of production sharing behavior, which may imply that OPEC shares mismatches between the call for OPEC production and OPEC quotas.

The early childhood years are regarded as the most significant period for human development. Yet, education investments in environmental education (EE)/education for sustainability (EfS) have been largely overlooked in the early years. This chapter offers an analysis of early childhood education for sustainability (ECEfS) theory and practice in Australia – recognised as a leader in ECEfS. It draws on historical and international contexts, key theoretical perspectives and policy directions informing broader uptake. We believe the Australian experience with ECEfS offers pointers for other parts of the world looking to ramp up their ECEfS activities.

This paper employs the empirical mode decomposition (EMD) method to filter cyclical components of US quarterly gross domestic product (GDP) and quarterly average oil price (West Texas Intermediate—WTI). The method is adaptive and applicable to non-linear and non-stationary data. A correlation analysis of the resulting components is performed and examined for insights into the relationship between oil and the economy. Several components of this relationship are identified. However, the principal one is that the medium-run component of the oil price has a negative relationship with the main cyclical component of the GDP. In addition, weak correlations suggesting a lagging, demand-driven component and a long-run component of the relationship were also identified. Comparisons of these findings with significant oil supply disruption and recession dates were supportive. The study identifies a number of lessons applicable to recent oil market events, including the eventuality of persistent oil price and economic decline following a long oil price run-up. In addition, it was found that oil market related exogenous events are associated with short- to medium-run price implications regardless of whether they lead to actual supply losses.