An investigation of renewable resources and renewable technology applications in Bulgaria

A preliminary assessment of renewable energy resources in Bulgaria shows that these resources are significant on a national level. Terminology for total, accessible, and reserve resources is provided, and preliminary estimates for solar, wind, biomass, hydroelectric, and geothermal resources are given. The process used to make a first-level selection of renewable energy technologies for further evaluation is described and an initial ranking of technologies for electricity generation, industry, and buildings is provided.     

Natural resources dynamics: Exhaustible and renewable resources,and the rate of technical substitution

In this paper we study both exhaustible and renewable resources in an endogenous growth model. In particular, we consider the hypotheses in which the rate of technical substitution (RTS) between those two inputs is or is not equal to one. Moreover, we depart from a basic theoretical framework to account for the negative externality constituted by waste accumulation. Finally, a comparative analysis is made between Pigouvian tax and waste recycling, as an environmental policy to correct market failure represented by refuse accumulation.     

Canadian applications in resources analysis

Resource analysis is defined for this article as the process of integrating geological, technological, economic and other information to identify possible options and constraints in resource-based economic systems. The authors consider as examples two cases. In the first, energy resource options are considered in assessing available technological paths towards the specific target of providing energy for vehicle transport. In the second case, factors affecting the general use of Canadian copper resources are considered in an attempt to identify those that may provide limits to the exploitation of the resource.     

Optimal sizing and siting of renewable energy resources in distribution systems considering time varying electrical/heating/cooling loads using PSO algorithm

Distributed Generation (DG) sources based on Renewable Energy (RE) can be the fastest growing power resources in distribution systems due to their environmental friendliness and also the limited sources of fossil fuels. In general, the optimal location and size of DG units have profoundly impacted on the system losses in a distribution network. In the present article, the Particle Swarm Optimization (PSO) algorithm is employed to find the optimal location and size of DG units in a distribution system. The optimal location and size of DG units are determined on the basis of a multi-objective strategy as follows: (i) the minimization of network power losses, (ii) the minimization of the total costs of Distributed Energy Resources (DERs), (iii) the improvement of voltage stability, and (iv) the minimization of greenhouse gas emissions. The related distribution system was assumed to be composed of the fuel cells, wind turbines, photovoltaic arrays, and battery storages. The electrical, cooling, and heating loads were also considered in this article. The heating and cooling requirements of the system consist of time varying water heating load, space heating load, and space cooling load. In this study, the waste and fuel cell were used to produce the required heating and cooling loads in the distribution system. In addition, the absorption chiller was used to supply the required space cooling loads. A detailed performance analysis was carried out on 13 bus radial distribution system to demonstrate the effectiveness of the proposed methodology.     

Environmental education,research and practice,in Bulgaria

Summary Educational reforms in Bulgaria over recent years, have permitted a new and definitive environmental education programme to be introduced. This programme is particularly related to nature conservation. The programme has had an important impact on the whole secondary school curriculum and has also influenced the patterns of teacher training.Dr Zdravka Kostova is a Senior Research Associate at the Educational Research Institute in Sofia, Bulgaria.     

Laboratory-scale investigation of UV treatment of ammonia for livestock and poultry barn exhaust applications

The feasibility of using deep ultraviolet (UV) treatment for abatement of ammonia (NH(3)) in livestock and poultry barn exhaust air was examined in a series of laboratory-scale experiments. These experiments simulated moving exhaust air through an irradiation chamber with variables of UV wavelength and dose, NH(3) concentrations, humidity, and presence of hydrogen sulfide (H(2)S). Ammonia, initially at relevant barn exhaust concentrations in air, was substantially or completely reduced by irradiation with 185 nm light. Reactions were monitored using chemiluminescence detection, gas chromatography with mass spectrometry detection, and Fourier transform infrared spectrometry, of which the latter was found to be the most informative and flexible. Detected nitrogen-containing products included N(2)O, NH(4)NO(3), and HNO(3). It was presumed that atomic oxygen is the primary photochemical product that begins the oxidative cascade. The data show that removal of NH(3) is plausible, but they highlight concerns over pollution swapping due to formation of ozone and N(2)O.     

Promotion of renewable energy technologies in Tanzania

The United Republic of Tanzania is currently facing energy problems that have seriously affected its socio-economic development and environment. To solve these problems, the country is striving to exploit its renewable energy potential, among other efforts. This publication highlights the prevailing energy situation in Tanzania and provides a short review of potential energy resources. It then discusses current institutional efforts and capabilities in research, development, diffusion and commercialization of renewable energy technologies. The paper also identifies some barriers to promotion of renewable energy technologies. Finally, it outlines the energy policy of Tanzania and actions taken by the government of Tanzania to promote renewable energy technologies.     

环保物联网技术及应用研究

物联网的发展如火如荼,作为新兴高技术产业的重要组成部分,物联网技术广泛应用于各行各业。文中阐述了环保物联网技术及其应用系统,详细介绍了以在线监测、视频和工况监测三种手段联合监控的感知端技术,信息传输网络技术,以及环保物联网智慧监控平台,描述了物联网技术在污染企业综合监控管理、环境质量综合监测管理、环境应急管理中的实际应用,最后提出环保物联网应在技术规范、技术保障、感知设备研发、感知数据处理等方面进行深入研究,形成一个全覆盖、全运转、全应用、可持续的环保物联网体系。     

An experimental investigation of resilience decision making in repeated disasters

Environment Systems and Decisions - Given the growing prevalence of catastrophic events and health epidemics, policymakers are increasingly searching for effective strategies to encourage firms to...     

An investigation of double-glass-covered trapezoidal salt-gradient solar pond coupled with reflector

In the present study, a trapezoidal salt-gradient solar pond (TSGSP) has been investigated experimentally. The top surface of solar pond has been covered with double-glass cover in order to reduce the evaporative and convective losses from the top. This results in increase of temperature even in the top zone of the solar pond and leads to more volume utilization for heat storage in the pond. A reflector made of aluminium sheet has been used to enhance the solar intensity on the solar pond during sunny hours. A procedure, to determine optimum tilt angle of reflector in order to utilize maximum amount of solar energy at noon, has been proposed. The use of reflector enhanced the average solar intensity on the top surface of solar pond by 22%. The maximum average temperature of trapezoidal solar pond with glass cover and reflector has been observed to be 70.5°C. The thermal efficiencies of LCZ, NCZ and UCZ for the trapezoidal solar pond with double-glass cover and reflector have been estimated to be 32.73%, 23.22% and 5.30%, respectively. In addition to experimental investigation, the sunny area ratio of TSGSP has been theoretically computed and compared with the cuboid solar pond having same top surface area and depth in order to see the effect of pond shape on sunny area ratio. The average yearly sunny area ratio of trapezoidal solar pond has been determined to be 11% higher than that of cuboid one.     

Environmental management intentions: An empirical investigation of Argentina's polluting firms

This paper builds on past behavioural research which explicitly recognises that ‘actions’ are preceded by ‘intentions’ which are in turn determined by individual mindsets, locus of control, principles of governances and context factors. More concretely, it presents a model that investigates the extent to which environmental behavioural intentions are explained by i) managers' core values, basic assumptions, and beliefs, ii) individual and socio-cognitive frames, iii) principles of governance, and iv) context factors. Context factors include obstacles and drivers of greener behaviours, market pressures, and firm demographics. The resulting theoretical framework is tested empirically through regression analyses that use data gathered from a survey of 536 Argentinean firms in polluting industries. The model performs well, explaining approximately 50% of the variations in the (pro) environmental behaviour of firms. Policy implications are briefly discussed.     

Optimal renewable resource management in the presence of endogenous risk of invasion

In this paper we examine the optimal management of a renewable resource that is at risk from alien species invasion. The objective of this paper is to derive implications for optimal management of a resource when options exist for both preventing the arrival of an invasive species and mitigating the impact of that arrival. Uncertainty about the timing and nature of an invasion can have important implications for the choice of management strategy, and a key feature of this analysis is an explicit treatment of that uncertainty.     

Efficient management of marine resources in conflict: An empirical study of marine sand mining, Korea

This article develops a dynamic model of efficient use of exhaustible marine sand resources in the context of marine mining externalities. The classical Hotelling extraction model is applied to sand mining in Ongjin, Korea and extended to include the estimated marginal external costs that mining imposes on marine fisheries. The socially efficient sand extraction plan is compared with the extraction paths suggested by scientific research. If marginal environmental costs are correctly estimated, the developed efficient extraction plan considering the resource rent may increase the social welfare and reduce the conflicts among the marine sand resource users. The empirical results are interpreted with an emphasis on guidelines for coastal resource management policy.     

An empirical investigation of returns to scale: The Welsh coal industry

This article attempts to study both returns to scale and optimal size of production. Specifically, the authors estimate a ray-homothetic production function which allows the returns to scale to vary with ouput size and input mix. The production model is estimated using data from the Welsh coal industry for the period 1961–1976. Findings showed that, first, the Welsh coal industry suffers from a level of production which is either too small or below its optimal level and, second, this discrepancy between actual and optimal production worsened over the period considered.