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Abstract

Biochemical Oxygen Demand (BOD) is an important factor used to measure water pollution. This article reviews recent developments of microbial biosensors with respect to their applications for low BOD estimation. Four main methods to measure BOD using a biosensor are described: microbial fuel cells, optical methods, oxygen electrode based methods and mediator-based methods. Each of them is based on different principles, thus a different approach is required to improve the limit of detection. A proper choice of microorganisms used in the biosensor construction and/or sample pre-treatment processes is also essential to improve the BOD lower detection limit.

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Authors and Affiliations

Elżbieta Malinowska
Łukasz Górski
Kamil F. Trzebuniak
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Abstract

Industry 4.0 will affect the complexity of supply chain networks. It will be necessary to

adapt more and more to the customer and respond within a time interval that is willing

to accept the product waiting. From these considerations, there is a need for a different way

of managing the supply chain. The traditional concept of supply chain as a linear system,

which allows optimizing individual subsystems, thus obtaining an optimized supply chain, is

not enough. The article deals with the issue of supply chain management reflecting demand

behaviour using the methodology Demand Driven MRP system. The aim of the publication

is to extend the knowledge base in the area of demand-driven supply logistics in the

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Authors and Affiliations

Miriam Pekarcıkova
Peter Trebuna
Marek Kliment
Jozef Trojan
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Abstract

In literature as well as in the university debate, we can observe the increase of interest regarding converting agricultural residues into energy. Furthermore, the energy and climate policies have encouraged the development of biogas plants for energy production. One of the most significant reasons of this escalation is that this technology may be both convenient and beneficial. The produced biogas is not only supposed to cover the energy demand like heat and electricity, the resulting digestate has the prospect of a beneficial fertilizer and can thereby influence the energy management plans. This technology is widely introduced to countries, which have large income from agriculture. Not only does this reduce the use of industrial fertilizers, but also finds use for agricultural residues. One of the countries of this type is Vietnam, which is the fifth largest exporter of rice in the world. Over 55% of greenhouse gas emission in Vietnam comes from agriculture. Using innovative technologies such as biogas, may decrease this value in near future. It may also contribute to more sustainable agriculture by decreasing traditional fields burning after the harvesting period. The goal of this research paper is to estimate the possible production of biogas from rice straw to cover the energy demand of the rice mill. Four possible scenarios have been considered in this paper, the present situation and where electricity, energy or both were covered by biogas from agricultural residues. An attempt was made to answer the question whether the amount of biogas produced from agricultural residues is enough for both: electricity and energy supply, for the rice mill. If not, how much rice straw must be delivered from other sources, from which rice is not delivered to the rice mill. The base of the assumptions during the estimation of various values were statistics from FAO and other organizations, secondary sources and data from the existing rice mill in Hậu Mỹ Bắc B in Mekong delta in Vietnam.

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Authors and Affiliations

Berenika Lewicka
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Abstract

In this article, we review the research state of the bullwhip effect in supply chains with

stochastic lead times. We analyze problems arising in a supply chain when lead times are

not deterministic. Using real data from a supply chain, we confirm that lead times are

stochastic and can be modeled by a sequence of independent identically distributed random

variables. This underlines the need to further study supply chains with stochastic lead times

and model the behavior of such chains.

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Authors and Affiliations

Peter Nielsen
Zbigniew Michna
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Abstract

In Poland, there is a growing awareness of the need to change the sources of electricity and heat. An expression of this is the adoption of the document entitled Poland’s Energy Policy until 2040 (PEP 2040) in February 2020 by the Council of Ministers. The goal of the Polish Energy Policy until 2040 is “energy security – ensuring the competitiveness of the economy, energy efficiency and reducing the environmental impact of the energy sector – taking into account the optimal use of own energy resources”. In PEP 2040, the previous assumptions of the state’s long-term energy policy were amended and an increase in the use of low- or non-emission sources was declared. In addition, the energy policy guidelines contain forecasts for the production of steam coal and the demand for this raw material. Based on the provisions of the document, as well as forecasts of the coal-production volume prepared by the authors and the assessments of experts in the fields related to energy and mining, the article contains considerations on the validity of the developed forecasts together with the determination of the production capacity of domestic mining enterprises in terms of covering the demand for steam coal used for the production of electricity and heat. It is planned, inter alia, that blocks of coal-fired power plants will be decommissioned and, in their place, there is to be the expansion of solar and wind energy and the commissioning of the first blocks of a nuclear power plant. Such activities, which cause a decrease in the demand for coal, are also related to the plans of changes in the functioning of mining enterprises – there will be successive closures of individual mines and mining plants.
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Authors and Affiliations

Marian Czesław Turek
1
Patrycja Bąk
2
ORCID: ORCID

  1. Central Mining Institute, Katowice, Poland
  2. AGH University of Science and Technology, Kraków, Poland
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Abstract

Metallurgy is one of the key industries both in Russia and in the world. It has a significant influence on the situation in related industries. Therefore, the current state analysis of ferrous metallurgy production and its formation based on the short-term technological forecast is essential. Based on the foregoing, the research was aimed at analyzing the current state of ferrous metallurgy production in Russia and the impact of the COVID-19 pandemic on the prospects for industry development in the short term. The research studies the state of the ferrous metallurgy production in Russia and abroad before the COVID-19 pandemic, as well as the volume of industrial production in ferrous metallurgy and the industry structure. The COVID-19 pandemic has triggered a serious global recession, necessitating an analysis of the forecast for the development of the ferrous metallurgy industry. The research concludes that the Russian ferrous metals market is so far affected to a lesser extent compared to the European one.
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Bibliography

[1] Ryabov, I.V. (2013). Institutional factors of economic development in the steel industry in the Russian Federation. Ekonomika: vchera, segodnya, zavtra. 7-8, 59-71.
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[6] Profile. 2017/2018. World steel association. Retrieved from https://www.worldsteel.org/en/dam/jcr:cea55824-c208-4d41-b387-6c233e95efe5/worldsteel+Profile+2017.pdf.
[7] World Steel Association (2018). Monthly crude steel and iron production statistics. Retrieved from https://www.worldsteel.org/publications/bookshop/productdetails.~2018-Monthly-crude-steel-and-iron-productionstatistics~PRODUCT~statistics2018~.html.
[8] Metalinfo.ru (2018). China continues to cut off excessive capacity. Retrieved from http://www.metalinfo.ru/ru/news/100765.
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[10] World Steel Association (2017). 50 years of the World Steel Association. World Steel Association. Retrieved from https://www.worldsteel.org/en/dam/jcr:80fe4bd6-4eff-4690-96e6-534500d35384/50%2520years%2520of%2520worldsteel_EN.pdf.
[11] Dudin, M.N., Bezbakh, V.V., Galkina, M.V., Rusakova, E.P., Zinkovsky, S.B. (2019). Stimulating Innovation Activity in Enterprises within the Metallurgical Sector: the Russian and International Experience. TEM Journal. 8(4), 1366-1370.
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[15] Katunin, V.V., Zinovieva, N.G., Ivanova, I.M., Petrakova, T.M. (2021). The main performance indicators of the ferrous metallurgy of Russia in 2020. Ferrous metallurgy. Bulletin of Scientific. Technical and Economic Information. 77(4), 367- 392. DOI: https://doi.org/10.32339/0135-5910-2021-4-367-392.
[16] National Credit Ratings (NCR) (2021). The metamorphoses of the pandemic. The forecast of recovery of the Russian economy branches as of June 2, 2021. Analytical Research. June 2, 2021. Retrieved from https://www.ratings.ru/files/research//corps/NCR_Recovery_Jun2021.pdf 24.
[17] Mingazov, S. (2021). Russian metallurgists have doubled payments to the budget. Forbes. Retrieved from https://www.forbes.ru/newsroom/biznes/430855-rossiyskiemetallurgi-udvoili-vyplaty-v-byudzhet.
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Authors and Affiliations

S.S. Golubev
1
V.D. Sekerin
1
A.E. Gorokhova
1
D.A. Shevchenko
1
A.Z. Gusov
2

  1. Moscow Polytechnic University, Bolshaya Semenovskaya Street, 38, Moscow, 107023, Russian Federation
  2. Peoples Friendship University of Russia (RUDN University), Miklukho-Maklaya Street, 6, Moscow, 117198, Russian Federation
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Abstract

In this paper, the results of correlations between air temperature and electricity demand by linear regression and Wavelet Coherence (WTC) approach for three different European countries are presented. The results show a very close relationship between air temperature and electricity demand for the selected power systems, however, the WTC approach presents interesting dynamics of correlations between air temperature and electricity demand at different time-frequency space and provide useful information for a more complete understanding of the related consumption.

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Authors and Affiliations

Samir Avdakovic
Alma Ademovic
Amir Nuhanovic
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Abstract

Results of the studies for determining fractions of organic contaminants in a pretreated petrochemical wastewater flowing into a pilot Aerated Submerged Fixed-Bed Biofilm Reactor (ASFBBR) are presented and discussed. The method of chemical oxygen demand (COD) fractionation consisted of physical tests and biological assays. It was found that the main part of the total COD in the petrochemical, pretreated wastewater was soluble organic substance with average value of 57.6%. The fractions of particulate and colloidal organic matter were found to be 31.8% and 10.6%, respectively. About 40% of COD in the influent was determined as readily biodegradable COD. The inert fraction of the soluble organic matter in the petrochemical wastewater constituted about 60% of the influent colloidal and soluble COD. Determination of degree of hydrolysis (DH) of the colloidal fraction of COD was also included in the paper. The estimated value of DH was about 62%. Values of the assayed COD fractions were compared with the same parameters obtained for municipal wastewater by other authors.

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Authors and Affiliations

Włodzimierz Wójcik
Karol Trojanowicz
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Abstract

Challenging job demands are those which require the use of high energy and thus may impair health but bring positive consequences too. The present study aimed to construct a measure for challenging job demands for university teachers.
Methods: The study is based upon the model developed by Makhdoom and Malik (2018) which proposed three challenging job demands including Regulatory Load, Social Load, and Cognitive Demands. On the basis of the literature review, Time Pressure was also studied as a factor. First of all, the authors created an initial item pool of 19 items which were categorized into four factors. The finalized item pool was administered on two independent samples drawn from various universities of Pakistan. In the first stage, the university teachers (N = 201) from three universities of the Punjab province were approached. EFA concluded three-factor and 13 items, which were then administered upon a sample of university teachers (N = 600).
Results: The CFA confirmed the three-factor structure of challenging job demands including Time Pressure, Cognitive Demands and Social Load. All the fit indices were within an acceptable range. The values of factor loadings and Cronbach Alpha justified the internal consistency and psychometric soundness of the newly developed measure.
Discussion: The study concludes a psychometrically sound scale to measure challenging job demands in university teachers which will be helpful in future studies. The limitations of the study along with suggestions for future research and important theoretical and practical implications are discussed.
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Bibliography

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Authors and Affiliations

Irsa Fatima Makhdoom
1
Najma Iqbal Malik
1
ORCID: ORCID
Mohsin Atta
1

  1. University of Sargosha, Pakistan
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Abstract

A lot of interest has recently been put into the so-called ‘virtual cryptographic currencies’, commonly known as cryptocurrencies, along with its surrounding market. The blockchain technology that stands behind them is also becoming increasingly popular. From the perspective of maintaining energy security, an important issue is the process of mining individual cryptocurrencies, which is associated with very high energy consumption. This operation is usually related to the approval of new blocks in the blockchain network and attaching them to the chain. This process is carried out through performing complex mathematical operations by various devices, which in turn require high power and respectively consume a lot of energy. The impact of cryptocurrency miners on the power and energy demand level might gradually increase over time, therefore this issue shouldn’t be ignored. Comparing the above information in parallel with the growing need for providing demand side response (DSR) services in the Polish Power System, raises the question whether devices used for mining cryptocurrencies can be used for the purpose of balancing the power system. This paper presents an analysis of the possibility to provide the demand side response services by groups of cryptocurrency miners users. The analysis was carried out taking basic functional, technological and economical aspects of these devices’ operations into account.

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Authors and Affiliations

Damian Mrowiec
Piotr Saługa
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Abstract

The observation of trends in the demand for minerals is of fundamental importance in the long- -term assessment of prospects for economic development in Poland.
From among 148 minerals analyzed, 42 minerals are indicated as key minerals for the country’s economy, of which 22 were recognized as deficit minerals. These minerals have been the subject of this paper.
For each of these minerals the forecasts of demand by the years 2030, 2040 and 2050 have been made taking the current trends in domestic economy and premises for the development of industries that are main users of these minerals into account. The most promising prospects for growth of domestic demand – with at least a two-fold increase by 2050 – have been determined for manganese dioxide, metallic: magnesium, nickel, silicon, as well as talc and steatite, while an increase by at least 50% have been anticipated for metallic aluminum, tin, metallic manganese, and elemental phosphorus. For natural gas and crude oil growing tendencies have also been predicted, but only by 2030. On the other hand, the most probable decline in domestic demand by 2050 may be foreseen for iron ores and concentrates, bauxite, metallic tungsten, magnesite and magnesia, as well as for crude oil and natural gas, especially after 2040.
It seems inevitable that the deficit in the foreign trade of minerals will continue to deepen in the coming years. By 2030 this will mainly result from the growing importation of crude oil and natural gas, but beyond – by 2050 – further deepening in the trade deficit will be related to the growing importation of many metals as well as of some industrial minerals. After 2040, the negative trade balance can be mitigated by a possible decrease in foreign deliveries of hydrocarbons and iron ores and concentrates.
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Bibliography


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Authors and Affiliations

Krzysztof Galos
1
ORCID: ORCID
Ewa Danuta Lewicka
1
ORCID: ORCID
Jarosław Kamyk
1
ORCID: ORCID
Jarosław Szlugaj
1
ORCID: ORCID
Hubert Czerw
1
ORCID: ORCID
Anna Burkowicz
1
ORCID: ORCID
Alicja Kot-Niewiadomska
1
ORCID: ORCID
Katarzyna Guzik
1
ORCID: ORCID

  1. Mineral and Energy Economy Research Institute, Polish Academy of Sciences, Kraków, Poland
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Abstract

The stable supply of iron ore resources is not only related to energy security, but also to a country’s sustainable development. The accurate forecast of iron ore demand is of great significance to the industrialization development of a country and even the world. Researchers have not yet reached a consensus about the methods of forecasting iron ore demand. Combining different algorithms and making full use of the advantages of each algorithm is an effective way to develop a prediction model with high accuracy, reliability and generalization performance. The traditional statistical and econometric techniques of the Holt–Winters (HW) non-seasonal exponential smoothing model and autoregressive integrated moving average (ARIMA) model can capture linear processes in data time series. The machine learning methods of support vector machine (SVM) and extreme learning machine (ELM) have the ability to obtain nonlinear features from data of iron ore demand. The advantages of the HW, ARIMA, SVM, and ELM methods are combined in various degrees by intelligent optimization algorithms, including the genetic algorithm (GA), particle swarm optimization (PSO) algorithm and simulated annealing (SA) algorithm. Then the combined forecast models are constructed. The contrastive results clearly show that how a high forecasting accuracy and an excellent robustness could be achieved by the particle swarm optimization algorithm combined model, it is more suitable for predicting data pertaining to the iron ore demand.
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Authors and Affiliations

Min Ren
1
Jianyong Dai
2
Wancheng Zhu
3
Feng Dai
3
ORCID: ORCID

  1. Northeastern University, Shenyang, China
  2. University of South China, Hengyang, China
  3. Northeastern University, Shenyang
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Abstract

In cities with large educational institutions, the inflow of educational migrants is important for con-sumption demand, and can trigger multiplier effects. The main aim of this article is to show the mecha-nism of the aggregate demand-income effect created by educational migration in the Polish city of Opole. An estimate of this effect is provided, based on questionnaire research among a sample of 1 075 students from all institutions of higher education located in the city. The estimated effects analysed concern the direct consumption impulse, as well as the indirect job creation and increase in income for providers of accommodation for students, in turn triggering increased consumption demand. While the results must be interpreted with care, an estimated 15 per cent of consumption demand created through expenditure of migrant students (about PLN 175 400 000) and 485 extra job show the significance of such expenditure for the local economy.

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Authors and Affiliations

Diana Rokita-Poskart
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Abstract

This article examines the short- and long-run effects of water price, system input, income, temperature on domestic water demand for Amman area over the period of 1980–2012. An empirical, dynamic autoregressive distributed lag (ARDL) model for water demand is developed on a yearly basis. This approach is capable of testing and analysing the dynamic relationship with time series data using a single equation regressions. Results show the ability of the model to predicting future trends (short- and long-run association). The main results indicate that water demand in limited water environment is partially captured in the long-run by the amount of water reaching the customer. The short- and long-run elasticities of water price (–0.061, –0.028) and high temperature (0.023, 0.054) indicate inelastic behaviour on water demand both in short- and long-run, while the lagged water price has a significant effect on demand. Income represented by gross domestic product (GDP) slightly affects water consumption in the long-run and insignificantly in the short-run (0.24, 0.24). Water consumption is strongly linked to consumption habits measured by lagged billed amount 0.35, and is strongly linked to amount of supplied water both in short- and long-run (0.47, 0.53). These results suggest that water needs should be satisfied first to allow controlling water demand through a good pricing system.
Moreover, the association identified between demand and water system input, and the lesser elasticities of water price and other explanatory variables confirm the condition of water deficit in Amman area and Jordan. The results could be rolled out to similar cities suffering scarce water resources with arid and semi-arid weather conditions.
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Authors and Affiliations

Duaa B. Telfah
1
ORCID: ORCID
Nawal Louzi
1 2
ORCID: ORCID
Tala M. AlBashir
2
ORCID: ORCID

  1. Yarmouk University, Hijjawi Faculty of Engineering Technology, P.O. Box 566 ZipCode 21163, Irbid, Jordan
  2. Al-Ahliyya Amman University Al-Saro, Faculty of Engineering, Amman, Jordan
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Abstract

The pressure on the use of water and climate change has caused a decreased availability of water resources in semi-arid areas in the last decades. The Setif Province is one of the semi-arid zones of Algeria as it receives an average less than 400 mm∙year–1. The question of the evolution of demographic pressures and their impacts on water resources arise. By applying WEAP software (water evaluation and planning), the aim is to develop a model of water resources management and its uti-lization, assess the proportion of the resource-needs balance and analyse the future situation of water according to different scenarios. This approach allows to identify the most vulnerable sites to climatic and anthropogenic pressures. The estima-tion of the needs for drinking water and wastewater in the Setif Province has shown that these needs increase over time and happening when the offer is not able to cover the demand in a suitable way. It is acknowledged that there is a poor exploita-tion of water resources including underground resources, which translates into unmet demand in all sites of demand.

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Authors and Affiliations

Imad E. Bouznad
Omar Elahcene
Mohamed S. Belksier
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Abstract

The Internet of Vehicles (IoVs) has become a vital research area in order to enhance passenger and road safety, increasing traffic efficiency and enhanced reliable connectivity. In this regard, for monitoring and controlling the communication between IoVs, routing protocols are deployed. Frequent changes that occur in the topology often leads to major challenges in IoVs, such as dynamic topology changes, shortest routing paths and also scalability. One of the best solutions for such challenges is “clustering”. This study focuses on IoVs’ stability and to create an efficient routing protocol in dynamic environment. In this context, we proposed a novel algorithm called Cluster-based enhanced AODV for IoVs (AODV-CD) to achieve stable and efficient clustering for simplifying routing and ensuring quality of service (QoS). Our proposed protocol enhances the overall network throughput and delivery ratio, with less routing load and less delay compared to AODV. Thus, extensive simulations are carried out in SUMO and NS2 for evaluating the efficiency of the AODV-CD that is superior to the classic AODV and other recent modified AODV algorithms.
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Authors and Affiliations

Sahar Ebadinezhad
1

  1. Department of Computer Information System, Near East University. Nicosia TRNC, Mersin 10, Turkey
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Abstract

This paper proposes the usage of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the Demand Response program. In contrast with other related studies, this research recognizes both randomness and fuzziness in appliance usage. Moreover, the input data for usage prediction consists of nodal price values (which represent the actual power system conditions), appliance operation time, and time of day. The case study of residential power consumer behavior modeling was implemented to show the functionality of the proposed methodology. The results of applying the suggested algorithm are presented as colored 3D control surfaces. In addition, the performance of the model was verified using R squared coefficient and root mean square error. The conducted studies show that the proposed approach can be used to predict when the selected appliances can be used under specific circumstances. Research of this type may be useful for evaluation of the demand response programs and support residential load forecasting.
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Authors and Affiliations

Piotr Kapler
1
ORCID: ORCID

  1. Warsaw University of Technology, Faculty of Electrical Engineering, Electrical Power Engineering Institute, Koszykowa 75, 00-662 Warsaw, Poland
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Abstract

The paper considers the negative pandemic-type demand shocks in the mean-variance newsvendor problem. It extends the previous results to investigate the case when the actual additive demand may attain negative values due to high prices or considerable, negative demand shocks. The results indicate that the general optimal solution may differ to the solution corresponding exclusively to the non-negative realizations of demand.
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Authors and Affiliations

Milena Bieniek
1

  1. Maria Curie-Sklodowska University, Lublin, Poland
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Abstract

This article reviews the literature on the relationship between the region’s innovation and its development. Various concepts are discussed in the scheme of the four forces of regional and local competitiveness. The main determinants of the region’s innovation and competitiveness can be viewed in a four-force system: domination forces when the region exploits its advantage over others, network power – when the development potential is strengthened by cooperation, external demand and internal resources. In this framework of literature analysis, the article points to both entities and processes that represent the possibilities of the „innovation being” region.

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Authors and Affiliations

Wojciech Dziemianowicz
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Abstract

The paper attempted to define the basis of city transformations that conform to the smart concept. The objective of the paper is to relate the concept of a smart city, which is quite frequently discussed in literature related to the subject, with functioning and development of the city’s economy, in a way that would allow monitoring economic processes taking place in the city, and also to find a response to the question as to the extent to which the smart city creates a new city economy. Does it expand the city economy by new elements, generate new economic mechanisms, allow the implementation of growth paths different than those to date? This objective is particularised by a description of selected issues of urban economics. With this in mind the paper discusses an approach to managing supply and demand on the basis of theoretical assumptions defined by Mudie and Cottam (1993) transposed on realities connected with provision of municipal public services in conditions of a smart city. Furthermore, sample solutions were presented related to the smart city, which reflect theoretical conclusions contained in the paper. The paper ends with a presentation of logics related to growing economy in a smart city. The economy of a smart city, ultimately an intelligent economy of the city, is created in a laminar way. Under the pressure of technological, social and political surroundings the city is permeated by social and culture intelligence, forming gradually a new economic quality. In the paper we emphasised that the concept of a smart city still remains a question of the future to a much bigger extent than one of the present time. A smart city slowly emerges from the combination of diverse megatrends and development trends characteristic for communities and economies of the second decade of the 21st century.

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Authors and Affiliations

Marcin Baron
Florian Kuźnik
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Abstract

The study of the possibility of removing organic compounds from wastewater originating from the biodiesel purification stage by two catalytic processes, HSO5-/transition metal and Fenton method has been presented. The source of the ion HSO5- is potassium monopersulphate (2KHSO5·KHSO4·K2SO4) (Oxone) that may be decomposed into radicals (OH., SO4-., SO5-.) by means of transition metal as Co(II). Different concentrations were used for both compounds and the combination ([Co2+] = 1.00μM/[HSO5-] = 5.00·10-2 M) achieved the highest COD removal (60%) and complete decomposition of the oxidant was verified for contact times of 45 min. This process has some advantages comparing to the conventional Fenton method such as the absence of the costly pH adjustment and the Fe(III) hydroxide sludge which characterize this treatment process. The Fenton process showed that the combination of [H2O2] = 2.00M/[Fe2+] = 0.70 M was the best and archived COD removal of 80%. The treatments studied in this research have achieved high COD removal, but the wastewater from the biodiesel purification stage presents very high parametric values of Chemical Oxygen Demand (667,000 mgO2/L), so the final COD concentration reached is still above the emission limit of discharge in surface water, according the Portuguese Law (Decree-Law 236/98). However, both treatments have proved to be feasible techniques for the pre-oxidation of the wastewater under study and can be considered as a suitable pre-treatment for this type of wastewaters. A rough economic analysis of both processes was, also, made.

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Authors and Affiliations

Teresa Borralho
Solange Coelho
Andreia Estrelo
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Abstract

The factor which essentially affects sludge biodegradation rate is the degree of fluidization of insoluble organic polymers to the solved form, which is a precondition for availability of nutrients for microorganisms. The phases which substantially limit the rate of anaerobic decomposition include hydrolytic and methanogenic phase.

Subjecting excess sludge to the process of initial disintegration substantially affects the effectiveness of the process of anaerobic stabilization. As a result of intensification of the process of hydrolysis, which manifests itself in the increase in the value and rate of generating volatile fatty acids (VFA), elongation of methanogenic phase of the process and increase in the degree of fermentation of modified sludge can be observed. Use of initial treatment of sewage sludge i.e. thermal disintegration is aimed at breaking microorganisms' cells and release of intracellular organic matter to the liquid phase. As a result of thermal hydrolysis in the sludge, the volatile fatty acids (VFA) are generated as early as at the stage of the process of conditioning. The obtained value of VFA determines the course of biological hydrolysis which is the first phase of anaerobic stabilization.

The aim of the present study was to determine the effect of thermal disintegration of excess sludge on the effectiveness of the process of hydrolysis in anaerobic stabilization i.e. the rate of production of volatile fatty acids, changes in the level of chemical oxygen demand (COD) and increase in the degree of reduction in organic matter. During the first stage of the investigations, the most favourable conditions of thermal disintegration of excess sludge were identified using the temperatures of 50°C, 70°C, 90°C and heating times of 1.5 h - 6 h. The sludge was placed in laboratory flasks secured with a glass plug with liquid-column gauge and subjected to thermal treatment in water bath with shaker option. Another stage involved 8-day process of anaerobic stabilization of raw and thermally disintegrated excess sludge. Stabilization was carried out in mesophilic temperature regime i.e. at 37°C, under periodical conditions. In the case of the process of anaerobic stabilization of thermally disintegrated excess sludge at the temperature of 50°C and heating time of 6 h (mixture B) and 70°C and heating time of 4.5% (mixture C), the degree of fermentation of 30.67% and 33.63%, respectively, was obtained. For the studied sludge, i.e. mixture B and mixture C, maximal level of volatile fatty acids i.e. 874.29 mg CH3COOH/dm3 and 1131.43 mg CH3COOH/dm3 was found on the 2nd day of the process. The maximal obtained value of VFA was correlated on this day with maximal COD level, which was 1344 mg O2/dm3 for mixture B and 1778 mg O2/dm3 for mixture C.

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Authors and Affiliations

I. Zawieja
P. Wolski

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