A risk-averse optimization model for trading wind energy in a market environment under uncertainty

In this paper, a stochastic programming approach is proposed for trading wind energy in a market environment under uncertainty. Uncertainty in the energy market prices is the main cause of high volatility of profits achieved by power producers. The volatile and intermittent nature of wind energy represents another source of uncertainty. Hence, each uncertain parameter is modeled by scenarios, where each scenario represents a plausible realization of the uncertain parameters with an associated occurrence probability. Also, an appropriate risk measurement is considered. The proposed approach is applied on a realistic case study, based on a wind farm in Portugal. Finally, conclusions are duly drawn. (C) 2011 Elsevier Ltd. All rights reserved.

A NCRF 22 – Contabilização dos subsídios do governo e implicações fiscais e de auditoria

Dissertação apresentada ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria Orientada pelo Doutor José de Campos Amorim

Short-term scheduling considering five-minute and hour-ahead energy resource management

The introduction of new distributed energy resources, based on natural intermittent power sources, in power systems imposes the development of new adequate operation management and control methods. This paper proposes a short-term Energy Resource Management (ERM) methodology performed in two phases. The first one addresses the hour-ahead ERM scheduling and the second one deals with the five-minute ahead ERM scheduling. Both phases consider the day-ahead resource scheduling solution. The ERM scheduling is formulated as an optimization problem that aims to minimize the operation costs from the point of view of a virtual power player that manages the network and the existing resources. The optimization problem is solved by a deterministic mixed-integer non-linear programming approach and by a heuristic approach based on genetic algorithms. A case study considering a distribution network with 33 bus, 66 distributed generation, 32 loads with demand response contracts and 7 storage units has been implemented in a PSCADbased simulator developed in the field of the presented work, in order to validate the proposed short-term ERM methodology considering the dynamic power system behavior.

Comparison between deterministic and meta-heuristic methods applied to ancillary services dispatch

This paper proposes two meta-heuristics (Genetic Algorithm and Evolutionary Particle Swarm Optimization) for solving a 15 bid-based case of Ancillary Services Dispatch in an Electricity Market. A Linear Programming approach is also included for comparison purposes. A test case based on the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is used to demonstrate that the use of meta-heuristics is suitable for solving this kind of optimization problem. Faster execution times and lower computational resources requirements are the most relevant advantages of the used meta-heuristics when compared with the Linear Programming approach.

Optimal offering strategies for wind power producers considering uncertainty and risk

This paper provides a two-stage stochastic programming approach for the development of optimal offering strategies for wind power producers. Uncertainty is related to electricity market prices and wind power production. A hybrid intelligent approach, combining wavelet transform, particle swarm optimization and adaptive-network-based fuzzy inference system, is used in this paper to generate plausible scenarios. Also, risk aversion is explicitly modeled using the conditional value-at-risk methodology. Results from a realistic case study, based on a wind farm in Portugal, are provided and analyzed. Finally, conclusions are duly drawn.

Scheduling of a hydro producer considering head-dependency, price scenarios and risk-aversion

In this paper, a mixed-integer quadratic programming approach is proposed for the short-term hydro scheduling problem, considering head-dependency, discontinuous operating regions and discharge ramping constraints. As new contributions to earlier studies, market uncertainty is introduced in the model via price scenarios, and risk aversion is also incorporated by limiting the volatility of the expected profit through the conditional value-at-risk. Our approach has been applied successfully to solve a case Study based on one of the main Portuguese cascaded hydro systems, requiring a negligible computational time.

Self-scheduling and bidding strategies of thermal units with stochastic emission constraints

This paper is on the self-scheduling problem for a thermal power producer taking part in a pool-based electricity market as a price-taker, having bilateral contracts and emission-constrained. An approach based on stochastic mixed-integer linear programming approach is proposed for solving the self-scheduling problem. Uncertainty regarding electricity price is considered through a set of scenarios computed by simulation and scenario-reduction. Thermal units are modelled by variable costs, start-up costs and technical operating constraints, such as: forbidden operating zones, ramp up/down limits and minimum up/down time limits. A requirement on emission allowances to mitigate carbon footprint is modelled by a stochastic constraint. Supply functions for different emission allowance levels are accessed in order to establish the optimal bidding strategy. A case study is presented to illustrate the usefulness and the proficiency of the proposed approach in supporting biding strategies. (C) 2014 Elsevier Ltd. All rights reserved.

Supply chain optimization of residual forestry biomass for bioenergy production: the case study of Portugal

Within a large set of renewable energies being explored to tackle energy sourcing problems, bioenergy can represent an attractive solution if effectively managed. The supply chain design supported by mathematical programming can be used as a decision support tool to the successful bioenergy production systems establishment. This strategic decision problem is addressed in this paper where we intent to study the design of the residual forestry biomass to bioelectricity production in the Portuguese context. In order to contribute to attain better solutions a mixed integer linear programming (MILP) model is developed and applied in order to optimize the design and planning of the bioenergy supply chain. While minimizing the total supply chain cost the production energy facilities capacity and location are defined. The model also includes the optimal selection of biomass amounts and sources, the transportation modes selection, and links that must be established for biomass transportation and products delivers to markets. Results illustrate the positive contribution of the mathematical programming approach to achieve viable economic solutions. Sensitivity analysis on the most uncertain parameters was performed: biomass availability, transportation costs, fixed operating costs and investment costs. (C) 2015 Elsevier Ltd. All rights reserved.

Allocation of Parallel Real-Time Tasks in Distributed Multi-core Architectures supported by an FTT-SE Network

Distributed real-time systems such as automotive applications are becoming larger and more complex, thus, requiring the use of more powerful hardware and software architectures. Furthermore, those distributed applications commonly have stringent real-time constraints. This implies that such applications would gain in flexibility if they were parallelized and distributed over the system. In this paper, we consider the problem of allocating fixed-priority fork-join Parallel/Distributed real-time tasks onto distributed multi-core nodes connected through a Flexible Time Triggered Switched Ethernet network. We analyze the system requirements and present a set of formulations based on a constraint programming approach. Constraint programming allows us to express the relations between variables in the form of constraints. Our approach is guaranteed to find a feasible solution, if one exists, in contrast to other approaches based on heuristics. Furthermore, approaches based on constraint programming have shown to obtain solutions for these type of formulations in reasonable time.

O papel da filosofia no desenvolvimento do pensamento crítico

Relatório de estágio de mestrado em Ensino de Filosofia no Ensino Secundário

Examining Nutrition Surveillance on the island of Ireland

The food we eat is a key determinant of our health and the monitoring of nutritional status is an essential element of monitoring public health. On the island of Ireland (IOI) there has been a wealth of nutrition data collected contributing to the nutrition surveillance picture, although no formal nutrition surveillance system currently exists in either jurisdiction. This report outlines recent and current activities contributing to nutrition surveillance on IOI and makes recommendations for the future. This is with a view to maximising the use of resources and harnessing and maintaining expertise in this important domain using a joint programming approach.

Non-constant discounting in finite horizon: The free terminal time case

This paper derives the HJB (Hamilton-Jacobi-Bellman) equation for sophisticated agents in a finite horizon dynamic optimization problem with non-constant discounting in a continuous setting, by using a dynamic programming approach. A simple example is used in order to illustrate the applicability of this HJB equation, by suggesting a method for constructing the subgame perfect equilibrium solution to the problem.Conditions for the observational equivalence with an associated problem with constantdiscounting are analyzed. Special attention is paid to the case of free terminal time. Strotz¿s model (an eating cake problem of a nonrenewable resource with non-constant discounting) is revisited.

Non-constant discounting in finite horizon: The free terminal time case

This paper derives the HJB (Hamilton-Jacobi-Bellman) equation for sophisticated agents in a finite horizon dynamic optimization problem with non-constant discounting in a continuous setting, by using a dynamic programming approach. A simple example is used in order to illustrate the applicability of this HJB equation, by suggesting a method for constructing the subgame perfect equilibrium solution to the problem.Conditions for the observational equivalence with an associated problem with constantdiscounting are analyzed. Special attention is paid to the case of free terminal time. Strotz¿s model (an eating cake problem of a nonrenewable resource with non-constant discounting) is revisited.

Prototype of a web-based participative decision support platform in natural hazards and risk management

This paper presents the current state and development of a prototype web-GIS (Geographic Information System) decision support platform intended for application in natural hazards and risk management, mainly for floods and landslides. This web platform uses open-source geospatial software and technologies, particularly the Boundless (formerly OpenGeo) framework and its client side software development kit (SDK). The main purpose of the platform is to assist the experts and stakeholders in the decision-making process for evaluation and selection of different risk management strategies through an interactive participation approach, integrating web-GIS interface with decision support tool based on a compromise programming approach. The access rights and functionality of the platform are varied depending on the roles and responsibilities of stakeholders in managing the risk. The application of the prototype platform is demonstrated based on an example case study site: Malborghetto Valbruna municipality of North-Eastern Italy where flash floods and landslides are frequent with major events having occurred in 2003. The preliminary feedback collected from the stakeholders in the region is discussed to understand the perspectives of stakeholders on the proposed prototype platform.

Supporting older people’s independent living at home through social and health care collaboration

Tässä tutkimuksessa tarkasteltiin ikäihmisten kotona asumista sosiaali- ja terveydenhuollon yhteistyön näkökulmasta. Tutkimuksen tarkoituksena oli lisätä ymmärrystä iäkkäiden kotihoidon asiakkaiden voimavaroista arjesta selviytymisen näkökulmasta, ja tutkia miten asiakkaiden hoito sosiaali- ja terveydenhuollon yhteistyönä toteutuu. Tutkimus oli poikkileikkaustutkimus, jossa sovellettiin kuvailevaa ja vertailevaa tutkimusasetelmaa. Tutkimusaineisto kerättiin yhden länsisuomalaisen kunnan kotihoidon asiakkailta (≥65 v.) ja heitä hoitavilta ammattihenkilöiltä. Kotihoidon 21 iäkästä asiakasta kuvasivat omia voimavarojaan arjesta selviytymisen näkökulmasta sekä kokemuksiaan hoidon toteutumisesta ammattihenkilöiden yhteistyönä. Aineisto kerättiin avoimella haastattelulla ja analysoitiin sisällön analyysillä. Lisäksi 25 kotihoidon ammattihenkilöä: 13 kotipalvelun työntekijää, 11 kotisairaanhoitajaa ja lääkäri kuvasivat kokemuksiaan iäkkään asiakkaan hoidon toteutumisesta ammattihenkilöiden yhteistyönä. Aineisto kerättiin fokusryhmähaastattelulla ja analysoitiin sisällön analyysillä. Näiden tulosten sekä aikaisemman kirjallisuuden perusteella laadittiin strukturoitu kyselylomake, jolla analysoitiin ja vertailtiin asiakkaiden ja ammattihenkilöiden näkemyksiä siitä, miten asiakkaiden hoito sosiaali- ja terveydenhuollon yhteistyönä toteutui. Esitestausten jälkeen kyselylomake lähetettiin 200 kotihoidon asiakkaalle ja 570 heitä hoitavalle kotihoidon työntekijälle: 485 kotipalvelun työntekijälle, 81 kotisairaanhoitajalle ja 4 lääkärille. Kyselyyn vastasi 120 asiakasta (60 %) ja 370 ammattihenkilöä (65 %). Ryhmien välisten erojen tarkastelussa käytettiin ristiintaulukointia, Pearsonin khin neliötestiä ja Fisherin tarkan todennäköisyyden testiä. Iäkkäiden asiakkaiden kuvauksissa voimavarat muodostuivat elämänhallinnan tunteesta ja toimintatahdon säilymisestä. Asiakkaat ammensivat arkeen voimaa harrastuksista ja sosiaalisesta verkostosta, mutta ulkopuolisten asettamat elämisen ehdot, terveydentilan heikkeneminen sekä yksinäisyys asettivat ikäihmisen ja hänen voimavaransa suurten haasteiden eteen. Tulokset osoittivat, että ammattihenkilöiden toiminta oli osittain ristiriidassa ikäihmisten omien odotusten kanssa, eikä se kaikilta osin tukenut asiakkaiden omia voimavaroja. Ammattihenkilöt tekivät hoitoon liittyviä päätöksiä ja toimintoja asiakkaiden puolesta, vaikka asiakkaille itselleen oli tärkeää elämänhallinnan tunne ja toimintatahdon säilyminen. Asiakkaiden voimavarojen tukemista moniammatillisena yhteistyönä vaikeuttivat ammattihenkilöiden vaikeus tunnistaa asiakkaiden omia voimavaroja sekä niitä uhkaavia tekijöitä, tiedon kulun ongelmat, tavoitteeton ja epäyhtenäinen tapa toimia sekä ammattihenkilöiden vastakkain asettuvat näkemyserot ja toimintatavat. Asiakkaiden ja ammattihenkilöiden näkemykset toteutetusta hoidosta erosivat toisistaan tilastollisesti merkitsevästi (p<0.05). Asiakkaat arvioivat sekä itsenäiseen toimintaan tukemisen että fyysisen, psyykkisen ja sosiaalisen tuen toteutuneen työntekijöitä huonommin. Yhteistyön kehittämishaasteita kotihoidossa ovat asiakkaan oman elämänsä asiantuntijuuden vahvistaminen, toimintakulttuurin muuttaminen asiakaslähtöiseksi tavoitteelliseksi toiminnaksi, ammattihenkilöiden roolien ja vastuun selkiyttäminen sekä tiedon kulun menetelmien kehittäminen. Tutkimus vahvistaa gerontologisen hoitotieteen tietoperustaa ja tuottaa uutta tietoa, jota voidaan soveltaa sosiaali- ja terveysalan koulutuksessa ja johtamisessa