Explore the vast range of titles available.

\"While the shockingly high prices of prescription drugs continue to dominate the news, the strategies used by pharmaceutical companies to prevent generic competition are poorly understood, even by the lawmakers responsible for regulating them. In this groundbreaking work, Robin Feldman and Evan Frondorf illuminate the inner workings of the pharmaceutical market and show how drug companies twist health policy to achieve goals contrary to the public interest. In highly engaging prose, they offer specific examples of how generic competition has been stifled for years, with costs climbing into the billions and everyday consumers paying the price. Drug Wars is a guide to the current landscape, a roadmap for reform, and a warning of what is to come. It should be read by policymakers, academics, patients, and anyone else concerned with the soaring costs of prescription drugs\"-- Provided by publisher.

This reference source on water efficiency in buildings provides comprehensive and up-to-date information. Both multi-disciplinary and practical, it signposts current knowledge, innovation, expertise and evidence on an important subject which is high in the resource management debate. Water Efficiency in Buildings: a review of theory and practice is structured into five sections: Policy; People; Building Design and Planning; Alternative Water Technologies; and Practical Examples & Case Studies. This final section of the book presents new and current practice as well as lessons learnt from case examples on the use of water saving technologies and user engagement. Current evidence is vital for effective policy making. The dynamic nature of issues around water resource management creates a higher need for robust and reliable data and research information that can inform policy and regulations. This compendium provides a roadmap for researchers and building professionals on water efficiency as well as for policy makers and regulators. The case studies and research presented fall within the water supply and demand spectrum, especially those that focus on process efficiency, resource management, building performance, customer experiences and user participation, sustainable practises, scientific and technological innovation. The benefit and impact of the research is at the localandnational level, as well as in the global context.

This review paper aims to investigate the supply costs and prices for biogenic residues, wastes and by-products for Europe that are used as key economic parameters for techno-economic analyses in the relevant literature. The scope of the paper is to show: (i) which information on costs and prices is used in techno-economic models; (ii) which sources these monetary values are based on; and (iii) whether these values are able to be compared and classified. The methodology employed in this review paper is a systematic evaluation of the supply costs and prices for residual biomass used as the basis for techno-economic analyses in the literature. Three evaluation criteria (COST TYPE, TIME PERIOD and COST SCOPE) are used to operationalise the scope of the delivery, the time frame and the spatial resolution of the monetary values. The pricing and cost variables UNIT and BIOMASS are also studied. The results show that the supply costs and pricing differ in terms of the units used, the scope of the delivery and the spatial scale, making it difficult to compare individual studies or transfer the findings to other use cases. The costs and pricing examined range from 0.00 EUR/Mg (dm) for “bio-waste from private households” to a regional value of 1097.02 EUR/Mg (dm) for “woody biomass from vineyards”. They are rarely based on cost calculations or price analyses over a period of several years, and more than half of the literature sources examined do not take into account regional differences. The findings suggest that the input data on costs and prices are not always of sufficient quality. For that reason, in the future, the data on supply costs and prices that are provided for processing should have a more detailed temporal and spatial resolution.

In this study, we assessed the impacts of the benchmark designs of emissions allowance allocation in China’s national carbon emissions trading system with plant-level data and further estimated the marginal clearing price and power supply cost in Guangdong power market under electricity-carbon market coupling with unit commitment and economic dispatch model. We find that the existing allowances benchmark would result in a considerable surplus of allowances at about 222 Mt. But the benchmarking and exemplary levels on the heat rate of power supply would motivate thermal power units to reduce CO 2 emissions. Under a tight balance of supply and demand in Guangdong, peaking thermal power plants will become the marginal clearing units and higher clearing prices will add to the revenue of lower cost inframarginal renewable energy power units. However, the combined impact of electricity-carbon market coupling would cause the marginal clearing price fluctuates obviously from 0 to 1159 CNY/MWh. Compared to the baseline scenario with free CO2 allowances allocation, the efficiency of thermal power utilization would decrease by 23%-59% and the net revenue per MWh power supply of coal-fired power units would decrease by 275%-325% under the stress scenario. Our study suggests that setting a more stringent allowances allocation benchmark for carbon price discovery is necessary. As electricity-carbon market coupling changes the role of coal-fired power plants to provide flexibility service and decrease their revenues, it calls for further market designs on proper reimbursement of flexible resources, under which the electricity market can effectively achieve the synergy among accommodating new energy, ensuring resource adequacy, and delivering cost efficiency. In addition, the synergy can be enhanced by formulating a tax program, which can promote renewable energy investment.

Surgeons are often unfamiliar with the costs of surgical instrumentation and supplies. We hypothesized that surgeon cost feedback would be associated with a reduction in cost. A multidisciplinary team evaluated surgical supply costs for laparoscopic appendectomies of 7 surgeons (surgeons A-G) at a single-center academic institution. In the intervention, each surgeon was debriefed with their average supply cost per case, their partner’s average supply cost per case, the cost of each surgical instrument/supply, and the cost of alternatives. In addition, the laparoscopic appendectomy tray was standardized to remove extraneous instruments. Pre-intervention (March 2017-February 2018) and post-intervention (March 2018-October 2018) costs were compared. Pre-intervention, the surgeons’ average supply cost per case ranged from $754-$1189; when ranked from most to least expensive, surgeon A > B > C > D > E > F > G. Post-intervention, the surgeons’ average supply cost per case ranged from $676 to $846, and ranked from surgeon G > D > F > C > E > B > A. Overall, the average cost per case was lower in the post-intervention group ($854.35 vs. $731.11, P < .001). This resulted in savings per case of $123.24 (14.4%), to a total annualized savings of $29 151.

Background The bioeconomy relies strongly on the availability of biomass, including biogenic waste, residues and by-products. The cost of supply often represents a significant proportion of the total value of the resource. However, there is limited insight into the current supply costs of wastes, residues and by-products. This includes straw, which is the most important agricultural by-product in Germany. Despite its importance, standardised information on supply costs or market prices, as well as their temporal and spatial variation, is missing. Aim Therefore, there is an urgent need for the temporal and spatial monitoring of individual cost components within total supply costs. This is essential to identify the most cost-effective options for the utilisation of agricultural by-products. Therefore, this study focuses on the case of straw to develop a model capable of visualising and mapping regional supply costs over time. Method We use an activity-based costing approach to calculate and monitor regional supply costs, defined as the monetary expenditure required to make straw available at the farm level. Our methodology combines typical technical and operational aspects of straw collection and transport with regional wage statistics, yield data, farm sizes, fuel prices and labour costs. We also consider storage costs and opportunity costs associated with nutrient replacement and conduct sensitivity analyses to measure their impact. To validate our calculations, we compare them with actual straw prices. To establish a reliable cost monitoring system, we propose an approach to assess the quality of input data. Result In 2011, the regional supply costs for straw varied from 45.72 EUR/Mg[FM] to 92.92 EUR/Mg[FM], showing a wide range. Over the years, the German average supply cost for straw increased from 56.78 EUR/Mg[FM] in 2010 to 58.79 EUR/Mg[FM] in 2020, with a peak of 61.24 EUR/Mg[FM] in 2018. This suggests that the temporal impact on mass-specific costs is relatively moderate compared to the spatial distribution of supply costs. The sensitivity analysis highlights storage time and costs, straw yield and wage levels as the main drivers of supply costs. Doubling the storage period from 3 to 6 months increases total costs by 20%. On average, the costs explain 75% of the straw price across all federal states, depending on annual price and cost levels. The quality assessment of input data shows that currently 68% of the data cannot be automatically extracted for continuous monitoring. Detailed results are available in a corresponding data publication: https://doi.org/10.5281/zenodo.8145082 . Conclusion In the absence of standardised market prices, the model presented provides an approach to estimating the supply costs of straw, expressed in terms of the monetary cost to farmers of mobilising straw. This cost information could be a valid database for further techno-economic assessments or models to evaluate the economic feasibility of straw valorisation. Due to the modular structure of the model, the future development of supply costs can be considered if the input data are adapted to future scenarios. Graphical Abstract

A high proportion of renewable generators are widely integrated into the power system. Due to the output uncertainty of renewable energy, the demand for flexible resources is greatly increased in order to meet the real-time balance of the system. But the investment cost of flexible resources, such as energy storage equipment, is still high. It is necessary to propose a method for determining the capacity of energy storage scientifically. An optimization and planning method of energy storage capacity is proposed. It is characterized by determining the optimal capacity of energy storage by carrying out 8760 hours of time series simulation for a provincial power grid with energy storage. Firstly, the current situation of power supply and demand for provincial power grids is analyzed. The difficulty of realizing a power balance at different time scales is analyzed. Then, the source load balancing solutions at different time scales are proposed. The difficulty of a long-term power balance can be alleviated by flexibly adjusting the power on the tie-line of the provincial power grid. And the difficulty of a short-term power balance can be met through energy storage. In addition, an optimal planning model of an energy storage system is established with the power supply cost as the objective function. The optimal capacity of the energy storage is determined by comparing the objective function of different planning schemes. Finally, a case study is carried out. It is found that flexible adjustment of interprovincial interconnection lines can reduce the maximum demand for electricity from 8.439 billion kWh to 2.299 billion kWh. At the same time, the curtailment ratio of renewable electricity can be decreased from 12.6% to 5.0% by using energy storage. However, the average power supply cost of the system gradually increases from 0.307 CNY/kWh to 0.485 CNY/kWh. It is necessary to fully tap into the various values of energy storage equipment.

Energy intensity is one of the most important energy feature that has a dramatic value in energy system of Iran. Indeed, Iran is one of the most energy intensive countries in the world and its main reason is related to high energy consumption in household section. In this article, we present a non-linear model that considers three scenarios in management of household energy demand reducing. Therefore, a rational percentage of energy consumption reduction in the household sector, which firstly eliminates the imbalance between energy production and consumption, and secondly, derives a rational amount of profit from various reduction scenarios, will be presented. The mentioned rational profits in this article are obtained from three scenarios. In the first scenario, it is assumed that the percentage reduction in household energy consumption will be allocated to reducing energy demand in the industrial sector, resulting in profits from value-added creation in this sector. In the second scenario, all benefits from reducing energy consumption in the household sector will be devoted to energy exports, yielding profits from this source. Finally, in the third scenario, the reduction in energy consumption will lead to a decrease in energy supply and consequently a reduction in energy supply costs. To conduct a comprehensive study, a combination of the mentioned scenarios has also been modeled and investigated. The model results indicate that with a 25% reduction in household energy consumption in the 2024-2034 timeframe, the energy imbalance will be eliminated, and allocating 5% of this reduction entirely to the industrial sector will result in profits equivalent to $164.18 billion. However, it should be noted that in the considered combined scenarios, the greater the share of the first scenario, the higher the resulting profit, and the optimal point is achieved in the first scenario.

The solar thermochemical fuel pathway offers the possibility to defossilize the transportation sector by producing renewable fuels that emit significantly less greenhouse gases than conventional fuels over the whole life cycle. Especially for the aviation sector, the availability of renewable liquid hydrocarbon fuels enables climate impact goals to be reached. In this paper, both the geographical potential and life-cycle fuel production costs are analyzed. The assessment of the geographical potential of solar thermochemical fuels excludes areas based on sustainability criteria such as competing land use, protected areas, slope, or shifting sands. On the remaining suitable areas, the production potential surpasses the current global jet fuel demand by a factor of more than fifty, enabling all but one country to cover its own demand. In many cases, a single country can even supply the world demand for jet fuel. A dedicated economic model expresses the life-cycle fuel production costs as a function of the location, taking into account local financial conditions by estimating the national costs of capital. It is found that the lowest production costs are to be expected in Israel, Chile, Spain, and the USA, through a combination of high solar irradiation and low-level capital costs. The thermochemical energy conversion efficiency also has a strong influence on the costs, scaling the size of the solar concentrator. Increasing the efficiency from 15% to 25%, the production costs are reduced by about 20%. In the baseline case, the global jet fuel demand could be covered at costs between 1.58 and 1.83 €/L with production locations in South America, the United States, and the Mediterranean region. The flat progression of the cost-supply curves indicates that production costs remain relatively constant even at very high production volumes.

The expected use of solid biomass for large‐scale heat and power production across North–West Europe (NW EU) has led to discussions about its sustainability, especially due to the increasing import dependence of the sector. While individual Member States and companies have put forward sustainability criteria, it remains unclear how different requirements will influence the availability and cost of solid biomass and thus how specific regions will satisfy their demand in a competitive global market. We combined a geospatially explicit least‐cost biomass supply model with a linear optimization solver to assess global solid biomass trade streams by 2020 with a particular focus on NW EU. We apply different demand and supply scenarios representing varying policy developments and sustainability requirements. We find that the projected EU solid biomass demand by 2020 can be met across all scenarios, almost exclusively via domestic biomass. The exploitation of domestic agricultural residue and energy crop potentials, however, will need to increase sharply. Given sustainability requirements for solid biomass as for liquid biofuels, extra‐EU imports may reach 236 PJ by 2020, i.e., 400% of their 2010 levels. Intra‐EU trade is expected to grow with stricter sustainability requirements up to 548 PJ, i.e., 280% of its 2010 levels by 2020. Increasing sustainability requirements can have different effects on trade portfolios across NW EU. Excluding pulpwood pellets may drive the supply costs of import dependent countries, foremost the Netherlands and the UK, whereas excluding additional forest biomass may entail higher costs for Germany and Denmark which rely on regional biomass. Excluding solid biomass fractions may create short‐term price hikes. Our modeling results are strongly influenced by parameterization choices, foremost assumed EU biomass supply volumes and costs and assumed relations between criteria and supply. The model framework is suited for the inclusion of dynamic supply–demand interactions and other world regions.