Mechanisms for efficient investments and optimal zones in regional power market

The paper is result of research different cross-border electricity trading mechanisms impact. Focus is on investments in generation and transmission power system facilities in regional market. Assumptions include efficient market coupling mechanism (with more bidding zones), use of additional investment indicators (like social welfare and congestion cost) and security of supply issues (capacity mechanisms). There is discussion on cost benefits analysis for particular market participants and there is possibility of risk reduction for regional power system expansion. It is shown current state-of-the-art, problems and trends in solving some aspects of market integration and investment issues. In some cases smaller and well defined bidding areas are absolutely essential in order to ensure system security and economic efficiency. There is no single criterion for power system expansion but it is possible to use combination of incentive schemes and possible through one index for cross-border trade. Risk management for cross-border electricity trading through several areas needs to be upgraded with use of financial transmission rights like weighted average area prices, respectively. Regional power system security is closely associated with timely investments in energy supply in line with economic development and environmental needs. Security of supply indicator is deriving an estimation of security of supply improvement from the market based simulation results when a generation or transmission investment project is implemented. All researched makes market integration and investments in Europe more efficient and gives more correct signals to market participants in regional market

Ontology-Based Resolution of Cloud Data Lock-in Problem

Cloud computing is nowadays becoming a popular paradigm for the provision of computing infrastructure that enables organizations to achieve financial savings. On the other hand, there are some known obstacles, among which vendor lock-in stands out. Furthermore, due to missing standards and heterogeneities of cloud storage systems, the migration of data to alternative cloud providers is expensive and time-consuming. We propose an approach based on Semantic Web services and AI planning to tackle cloud vendor data lock-in problem. To complete the mentioned task, data structures and data type mapping rules between different types of cloud storage systems are defined. The migration of data among different providers of platform as a service is presented in order to prove the practical applicability of the proposed approach. Additionally, this concept was also applied to software as a service model of cloud computing to perform one-shot data migration from Zoho CRM to Salesforce CRM

Modular Wavemaker Design for Harbours and Ships Physical Model Testing

The paper presents design and implementation of a portable modular wavemaker system for producing regular and irregular waves in laboratory basins and fl umes. The system was built for the purpose of testing the impact of the sea waves on ships and coastal facilities. It is suitable for generation of all tipes regular and irregular surface waves. Modular system structure maintains high degree of fl exibility and reusability. Finally, the testing process on the physical model of Split harbour is described, and the currently obtained results are shown

Comparison of modelled and measured surface wind waves

Prikazana je usporedba rezultata mjerenja i numeričkog modeliranja površinskih vjetrenih valova na Jadranu. Model za valno generiranje uzima podatke o vjetru iz prognoze Aladin. Rabljene su dvije modelske prostorne domene: regionalna (Jadran) i lokalna (kanalski sustav jugoistočnog Jadrana). U lokalnoj domeni upotrijebljena je detaljnija prostorna diskretizacija. Stupanj korelacije izmjerenih i modeliranih vrijednosti primarno ovisi o pouzdanosti ulaznih podataka o vjetru.The comparison between measurement data and numerical modelling results for surface wind waves on the Adriatic is presented. The wave generation model receives wind data from the Aladin forecast. Two spatial model domains are used: regional (Adriatic) and local (south-eastern Adriatic channel system). A detailed spatial discrétisation is used in the local domain. The degree of correlation between the measured and modelled values is primarily dependent on the reliability of input wind data