scholarly journals The influence of water price and the number of residents on the economic efficiency of water recovery from grey water

2021 ◽  
pp. 1-10
Author(s):  
Maciej Dobrzański
Keyword(s):  
Water Supply ◽  
Net Present Value ◽  
High Price ◽  
Water Recovery ◽  
Sewage Disposal ◽  
Grey Water ◽  
Payback Time ◽  
Influence Of Water ◽  
Huge Impact ◽  
The Impact

This article presents the results of an analysis of the economic viability of using an installation for the treatment of grey water. Economic indicators in the form of simple payback time (SPBT) and net present value (NPV) were used in the analysis. The use of a dual water supply system should theoretically enable the reduction of the costs of both water supply and sewage disposal, ensuring investment profitability. The article presents the impact of the number of residents as well as the impact of water and sewage on the profitability of using example water-recovery systems. It was found that both factors have a huge impact on the result of the economic analysis. For a small number of residents and at a low price of water supply and sewage disposal, it is not profitable to invest in a water-recovery system. This is due to the high price of purification devices.

scholarly journals Waterborne diarrhoeal infection risk from multiple water sources and the impact of an earthquake

2020 ◽  
Vol 18 (4) ◽  
pp. 464-476
Author(s):  
Yuri Ito ◽  
Sadhana Shrestha Malla ◽  
Arun Prasad Bhattarai ◽  
Eiji Haramoto ◽  
Junko Shindo ◽  
...  
Keyword(s):  
Water Supply ◽  
Infection Risk ◽  
Water Sources ◽  
High Price ◽  
E Coli ◽  
Water Ingestion ◽  
Piped Water ◽  
Dug Wells ◽  
Estimated Risk ◽  
The Impact

Abstract In the Kathmandu Valley of Nepal, locals depend on multiple water sources due to the limited access to safe water, which is a great global concern regarding its impact on human health. This study aimed to compare the infection risk of diarrhoea from multiple water sources with different concentrations of Escherichia coli among water supply areas and evaluate the impact of changing water sources due to the Gorkha earthquake on the infection risk. The concentration of enteropathogenic E. coli was estimated in samples of piped water, jar water, groundwater, and tanker water, which were collected in the Valley. The volume of each water ingestion was determined based on a questionnaire survey and considering drinking and bathing sources. The highest estimated risk was observed for households drinking groundwater from shallow dug wells, followed by tanker water. The estimated risk implied the regional disparity due to various water sources with different quality. After the earthquake, the ratio of households drinking only jar water increased, and the estimated risk decreased. The damage on piped water supply, the decrease of tanker water availability and the decrease of residents’ trust in groundwater quality presumably enhanced the consumption of jar water despite its high price.

Transportation Cost, Fuel Subsidies, and Commodity Prices

2020 ◽  
Vol 19 (S1) ◽  
pp. s88-s97
Author(s):  
Habtamu Fuje
Keyword(s):  
Price Dispersion ◽  
Commodity Prices ◽  
Transportation Cost ◽  
Transportation Costs ◽  
High Price ◽  
Fuel Subsidies ◽  
National Capital ◽  
Huge Impact ◽  
The Impact ◽  
Subsidy Reform

AbstractDespite being at the forefront of the global policy agenda, fuel subsidy reform is understudied and its impact on trade is not particularly well understood. This type of reform could have a huge impact on market performance by increasing transportation costs. I present a case study from Ethiopia, which removed its fuel subsidies and increased the price of diesel price by 39% overnight on 4 October 2008. What is the impact of such an increase in diesel price on transportation costs and hence grain prices in developing countries such as Ethiopia? I use spatial difference-in-difference (sDID) on distance from major markets to assess the effects of removing the fuel subsidy on grain price dispersion. The sDID leverages distance from the national capital to investigate the impact of fuel subsidy reform on markets located at different distances from consumer centers. The results indicate that remote markets experienced high price dispersion compared to markets near the capital.

scholarly journals ІННОВАЦІЇ ЯК ОСНОВНИЙ ВАЖІЛЬ СУБ'ЄКТА ГОСПОДАРЮВАННЯ В ПІДВИЩЕННІ ІНВЕСТИЦІЙНОЇ ПРИВАБЛИВОСТІ

2019 ◽  
pp. 35-43
Author(s):  
E. Madiyarova ◽  
L. Sorokina ◽  
G. Kunafina ◽  
G. Islyam
Keyword(s):  
Net Present Value ◽  
Economic Effect ◽  
Payback Period ◽  
Practical Significance ◽  
Process Equipment ◽  
Initial Moment ◽  
Present Value ◽  
Investment Activity ◽  
Payback Time ◽  
The Impact

The problem of increasing the investment activity of an enterprise is quite relevant, since in a developing economy, investment is a financial resource, on the basis of which enterprises can build their long-term strategic policy. The purpose of the research was to develop methodological, scientific-practical recommendations for assessing and increasing the investment attractiveness of a service enterprise, taking into account the impact of innovative implementations. The object of research. The article focuses on the innovation of the process equipment of the installation for automatic heat treatment of welded joints by conducting a comparative analysis of the possibilities available. The hypothesis of the research.  The concept of the utility of investments may include the realization of investment goals that are different from the only possible behavior of an economic agent in the neoclassical theory of goal — maximizing profit or income. The methods used of the research were the practical side of the built relationship between the population and authorities at all levels. The statement of basic materials. The actual implementation of the obtained research results determines the novelty of the type of service on the Kazakhstan market, in particular, the city of Ust-Kamenogorsk and the East Kazakhstan region. In addition, the article recommends ways to improve the efficiency of the research object, allowing to obtain a significant economic effect and investment attractiveness of the business entity, the presented project is beneficial and expedient for implementation in the production process. The originality and practical significance of the research. The effectiveness of the project can be determined by calculating the net present value of the project, the profitability index and the payback period of the project. Conclusions. The payback period, taking into account discounting, is the period from the initial moment to the “payback time, including discounting.” The payback time with discounting is the earliest time in the billing period, after which the net present value of the investment becomes, and in the future remains non-negative.

scholarly journals The impact of changes in terms of payment for sewage removal on WWTP valuation using the DCF method

2018 ◽  
Vol 44 ◽  
pp. 00039
Author(s):  
Jacek Dziubek ◽  
Aneta Dziubek
Keyword(s):  
Wastewater Treatment ◽  
Water Supply ◽  
Wastewater Treatment Plants ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Water Law ◽  
Sewage Disposal ◽  
Company Valuation ◽  
The Impact

The article describes selected changes in the Water Law and the Collective Water Supply and Collective Sewage Disposal Act and their possible impact on the valuation of wastewater treatment plants. The issue of company valuation using DCF method is presented. By applying this method, several variants of assessment of the impact of changes in the law on the value of the sewage treatment plant in Głogów are proposed.

Dampak Insentif Pajak Perumahan Terhadap Potensi Penerimaan Pajak Negara Dan Peningkatan Pendapatan Masyarakat : Kasus Provinsi Papua

2016 ◽  
Vol 1 (1) ◽  
pp. 13-22
Author(s):  
Towaf Totok Irawan
Keyword(s):  
Low Income ◽  
House Prices ◽  
Tax Incentives ◽  
High Price ◽  
Short Term ◽  
Primary Input ◽  
State Revenue ◽  
Long Run ◽  
The Government ◽  
The Impact

Until now the government and private sector have not been able to address the backlog of 13.5 million housing units for ownership status and 7.6 million units for residential status. The high price of land has led to the high price of the house so that low-income communities (MBR) is not able to reach out to make a home purchase. In addition to the high price of land, tax factors also contribute to the high price of the house. The government plans to issue a policy for the provision of tax incentives, ie abolish VAT on home-forming material transaction. This policy is expected to house prices become cheaper, so the demand for housing increases, and encourage the relevant sectors to intensify its role in the construction of houses. It is expected to replace the lost tax potential and increase incomes. Analysis of the impact of tax incentives housing to potential state revenue and an increase in people's income, especially in Papua province is using the table IO because in addition to looking at the role each sector can also see the impact on taxes (income tax 21 Pph 25 Pph, VAT), and incomes (wage). Although in the short-term impact is still small, but very rewarding in the long run. Keywords: Backlog, Gross Input, Primary Input, Intermediate Input

scholarly journals Use of Multi-Anionic Sodium Tripolyphosphate to Enhance Dispersion of Concentrated Kaolin Slurries in Seawater

Metals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1085
Author(s):  
Williams Leiva ◽  
Norman Toro ◽  
Pedro Robles ◽  
Edelmira Gálvez ◽  
Ricardo Ivan Jeldres
Keyword(s):  
Rheological Properties ◽  
Fine Particles ◽  
Sodium Tripolyphosphate ◽  
Mining Industry ◽  
Chord Length ◽  
Water Recovery ◽  
Reflectance Measurement ◽  
Anionic Charge ◽  
Free Environment ◽  
The Impact

This research aims to analyze the impact of sodium tripolyphosphate (STPP) as a rheological modifier of concentrated kaolin slurries in seawater at pH 8, which is characteristic of copper sulfide processing operations. The dispersion phenomenon was analyzed through chord length measurements using the focused beam reflectance measurement (FBRM) technique, complementing size distributions in unweighted and square-weighted modes. The reduction of the rheological properties was significant, decreasing from 231 Pa in a reagent-free environment to 80 Pa after the application of STPP. A frequency sweep in a linear viscoelastic regime indicated that by applying a characteristic dosage of 0.53 kg/t of STPP, the pulp before yielding increases its phase angle, which increases its liquid-like character. Measurements of the chord length verified the dispersion of particles, which showed an apparent increase in the proportion of fine particles and a reduction of the coarser aggregates when STPP was applied. Measurements of the zeta potential suggested that the high anionic charge of the reagent (pentavalent) increases the electrostatic repulsions between particles, overcoming the effect of cations in seawater. The results are relevant for the mining industry, especially when the deposits have high contents of complex gangues, such as clays, that increase the rheological properties. This increases the energy costs and water consumption needed for pumping the tailings from thickeners to the tailing storages facilities. The strategies that allow for the improvement of the fluidity and deformation of the tailings generate slack in order to maximize water recovery in the thickening stages.

scholarly journals Family reported outcomes, an unmet need in the management of a patient's disease: appraisal of the literature

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
R. Shah ◽  
F. M. Ali ◽  
A. Y. Finlay ◽  
M. S. Salek
Keyword(s):  
Quality Of Life ◽  
Family Members ◽  
Unmet Need ◽  
Reliability And Validity ◽  
Chronic Health Condition ◽  
Family Quality Of Life ◽  
Good Reliability ◽  
Huge Impact ◽  
The Impact

Abstract Background A person’s chronic health condition or disability can have a huge impact on the quality of life (QoL) of the whole family, but this important impact is often ignored. This literature review aims to understand the impact of patients' disease on family members across all medical specialities, and appraise existing generic and disease-specific family quality of life (QoL) measures. Methods The databases Medline, EMBASE, CINHAL, ASSIA, PsycINFO and Scopus were searched for original articles in English measuring the impact of health conditions on patients' family members/partner using a valid instrument. Results Of 114 articles screened, 86 met the inclusion criteria. They explored the impact of a relative's disease on 14,661 family members, mostly 'parents' or 'mothers', using 50 different instruments across 18 specialities including neurology, oncology and dermatology, in 33 countries including the USA, China and Australia. These studies revealed a huge impact of patients' illness on family members. An appraisal of family QoL instruments identified 48 instruments, 42 disease/speciality specific and six generic measures. Five of the six generics are aimed at carers of children, people with disability or restricted to chronic disease. The only generic instrument that measures the impact of any condition on family members across all specialities is the Family Reported Outcome Measure (FROM-16). Although most instruments demonstrated good reliability and validity, only 11 reported responsiveness and only one reported the minimal clinically important difference. Conclusions Family members' QoL is greatly impacted by a relative's condition. To support family members, there is a need for a generic tool that offers flexibility and brevity for use in clinical settings across all areas of medicine. FROM-16 could be the tool of choice, provided its robustness is demonstrated with further validation of its psychometric properties.

scholarly journals Time Granularity Impact on Propagation of Disruptions in a System-of-Systems Simulation of Infrastructure and Business Networks

2021 ◽  
Vol 18 (8) ◽  
pp. 3922
Author(s):  
Mateusz Iwo Dubaniowski ◽  
Hans Rudolf Heinimann
Keyword(s):  
Recovery Time ◽  
System Of Systems ◽  
Future Research ◽  
Business Networks ◽  
Simulation Experiments ◽  
Huge Impact ◽  
High Level ◽  
Systems Simulation ◽  
Different Characteristics ◽  
The Impact

A system-of-systems (SoS) approach is often used for simulating disruptions to business and infrastructure system networks allowing for integration of several models into one simulation. However, the integration is frequently challenging as each system is designed individually with different characteristics, such as time granularity. Understanding the impact of time granularity on propagation of disruptions between businesses and infrastructure systems and finding the appropriate granularity for the SoS simulation remain as major challenges. To tackle these, we explore how time granularity, recovery time, and disruption size affect the propagation of disruptions between constituent systems of an SoS simulation. To address this issue, we developed a high level architecture (HLA) simulation of three networks and performed a series of simulation experiments. Our results revealed that time granularity and especially recovery time have huge impact on propagation of disruptions. Consequently, we developed a model for selecting an appropriate time granularity for an SoS simulation based on expected recovery time. Our simulation experiments show that time granularity should be less than 1.13 of expected recovery time. We identified some areas for future research centered around extending the experimental factors space.

Impact of Odd–Even Scheme on Travel Pattern in Delhi

2021 ◽  
Vol 17 (1) ◽  
pp. 27-38
Author(s):  
Palak Thakur ◽  
Sharif Qamar
Keyword(s):  
Air Pollution ◽  
Travel Time ◽  
Travel Pattern ◽  
Modal Shift ◽  
Daily Work ◽  
Transport Services ◽  
Huge Impact ◽  
Perception Analysis ◽  
The Impact ◽  
Public Transport Services

The paper intends to assess the impact of the odd–even scheme on the travel pattern of the daily commuters in Delhi. The objective of the paper is to assess the impact of the odd–even scheme on mode choice for daily work trips, shift in travel patterns – before, during, and post-implementation – of the odd–even scheme, and to understand people perception regarding the odd–even scheme. Based on the primary survey, the paper concludes that the odd–even scheme brought a significant impact in the travel pattern in terms of occupancy, travel cost, travel time, and modal shift, and statistically not so much on the air quality gain. It was observed that the scheme helped increase the occupancy rate in cars as well as ridership of buses and Delhi metro. The scheme had a huge impact on congestion, which was evident from both perception analysis and the change in travel time. The modal shift, with an improvement in public transport services and a reduction in car users, is one of the key successes of the scheme resulting in decrease in air pollution caused by private vehicles. To improve the outcome of the odd–even scheme on air pollution, two-wheelers should not be exempted going forward.

scholarly journals A Hybrid Energy System Workflow for Energy Portfolio Optimization

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4392
Author(s):  
Jia Zhou ◽  
Hany Abdel-Khalik ◽  
Paul Talbot ◽  
Cristian Rabiti
Keyword(s):  
Time Series ◽  
Gaussian Process ◽  
Electricity Market ◽  
Process Model ◽  
Net Present Value ◽  
Historical Data ◽  
Energy System ◽  
Initial Guess ◽  
Reduced Order ◽  
The Impact

This manuscript develops a workflow, driven by data analytics algorithms, to support the optimization of the economic performance of an Integrated Energy System. The goal is to determine the optimum mix of capacities from a set of different energy producers (e.g., nuclear, gas, wind and solar). A stochastic-based optimizer is employed, based on Gaussian Process Modeling, which requires numerous samples for its training. Each sample represents a time series describing the demand, load, or other operational and economic profiles for various types of energy producers. These samples are synthetically generated using a reduced order modeling algorithm that reads a limited set of historical data, such as demand and load data from past years. Numerous data analysis methods are employed to construct the reduced order models, including, for example, the Auto Regressive Moving Average, Fourier series decomposition, and the peak detection algorithm. All these algorithms are designed to detrend the data and extract features that can be employed to generate synthetic time histories that preserve the statistical properties of the original limited historical data. The optimization cost function is based on an economic model that assesses the effective cost of energy based on two figures of merit: the specific cash flow stream for each energy producer and the total Net Present Value. An initial guess for the optimal capacities is obtained using the screening curve method. The results of the Gaussian Process model-based optimization are assessed using an exhaustive Monte Carlo search, with the results indicating reasonable optimization results. The workflow has been implemented inside the Idaho National Laboratory’s Risk Analysis and Virtual Environment (RAVEN) framework. The main contribution of this study addresses several challenges in the current optimization methods of the energy portfolios in IES: First, the feasibility of generating the synthetic time series of the periodic peak data; Second, the computational burden of the conventional stochastic optimization of the energy portfolio, associated with the need for repeated executions of system models; Third, the inadequacies of previous studies in terms of the comparisons of the impact of the economic parameters. The proposed workflow can provide a scientifically defendable strategy to support decision-making in the electricity market and to help energy distributors develop a better understanding of the performance of integrated energy systems.

Sign in / Sign up

Export Citation Format

Share Document