Self-Scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach

This paper is on the self-scheduling for a power producer taking part in day-ahead joint energy and spinning reserve markets and aiming at a short-term coordination of wind power plants with concentrated solar power plants having thermal energy storage. The short-term coordination is formulated as a mixed-integer linear programming problem given as the maximization of profit subjected to technical operation constraints, including the ones related to a transmission line. Probability density functions are used to model the variability of the hourly wind speed and the solar irradiation in regard to a negative correlation. Case studies based on an Iberian Peninsula wind and concentrated solar power plants are presented, providing the optimal energy and spinning reserve for the short-term self-scheduling in order to unveil the coordination benefits and synergies between wind and solar resources. Results and sensitivity analysis are in favour of the coordination, showing an increase on profit, allowing for spinning reserve, reducing the need for curtailment, increasing the transmission line capacity factor. (C) 2014 Elsevier Ltd. All rights reserved.

Soil sampling design and sampling techniques for soil properties monitoring – common difficulties related to forest soils

Mathematical models and statistical analysis are key instruments in soil science scientific research as they can describe and/or predict the current state of a soil system. These tools allow us to explore the behavior of soil related processes and properties as well as to generate new hypotheses for future experimentation. A good model and analysis of soil properties variations, that permit us to extract suitable conclusions and estimating spatially correlated variables at unsampled locations, is clearly dependent on the amount and quality of data and of the robustness techniques and estimators. On the other hand, the quality of data is obviously dependent from a competent data collection procedure and from a capable laboratory analytical work. Following the standard soil sampling protocols available, soil samples should be collected according to key points such as a convenient spatial scale, landscape homogeneity (or non-homogeneity), land color, soil texture, land slope, land solar exposition. Obtaining good quality data from forest soils is predictably expensive as it is labor intensive and demands many manpower and equipment both in field work and in laboratory analysis. Also, the sampling collection scheme that should be used on a data collection procedure in forest field is not simple to design as the sampling strategies chosen are strongly dependent on soil taxonomy. In fact, a sampling grid will not be able to be followed if rocks at the predicted collecting depth are found, or no soil at all is found, or large trees bar the soil collection. Considering this, a proficient design of a soil data sampling campaign in forest field is not always a simple process and sometimes represents a truly huge challenge. In this work, we present some difficulties that have occurred during two experiments on forest soil that were conducted in order to study the spatial variation of some soil physical-chemical properties. Two different sampling protocols were considered for monitoring two types of forest soils located in NW Portugal: umbric regosol and lithosol. Two different equipments for sampling collection were also used: a manual auger and a shovel. Both scenarios were analyzed and the results achieved have allowed us to consider that monitoring forest soil in order to do some mathematical and statistical investigations needs a sampling procedure to data collection compatible to established protocols but a pre-defined grid assumption often fail when the variability of the soil property is not uniform in space. In this case, sampling grid should be conveniently adapted from one part of the landscape to another and this fact should be taken into consideration of a mathematical procedure.

Scenarios Generation for Multi-Agent simulation of Electricity Markets based on Intelligent Data Analysis

This document presents a tool able to automatically gather data provided by real energy markets and to generate scenarios, capture and improve market players’ profiles and strategies by using knowledge discovery processes in databases supported by artificial intelligence techniques, data mining algorithms and machine learning methods. It provides the means for generating scenarios with different dimensions and characteristics, ensuring the representation of real and adapted markets, and their participating entities. The scenarios generator module enhances the MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) simulator, endowing a more effective tool for decision support. The achievements from the implementation of the proposed module enables researchers and electricity markets’ participating entities to analyze data, create real scenarios and make experiments with them. On the other hand, applying knowledge discovery techniques to real data also allows the improvement of MASCEM agents’ profiles and strategies resulting in a better representation of real market players’ behavior. This work aims to improve the comprehension of electricity markets and the interactions among the involved entities through adequate multi-agent simulation.

Intelligent Remuneration and Tariffs for Virtual Power Players

Power systems have been through deep changes in recent years, namely due to the operation of competitive electricity markets in the scope the increasingly intensive use of renewable energy sources and distributed generation. This requires new business models able to cope with the new opportunities that have emerged. Virtual Power Players (VPPs) are a new type of player that allows aggregating a diversity of players (Distributed Generation (DG), Storage Agents (SA), Electrical Vehicles (V2G) and consumers) to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players’ benefits. A major task of VPPs is the remuneration of generation and services (maintenance, market operation costs and energy reserves), as well as charging energy consumption. This paper proposes a model to implement fair and strategic remuneration and tariff methodologies, able to allow efficient VPP operation and VPP goals accomplishment in the scope of electricity markets.

Definition of Distribution Network Tariffs Considering Distribution Generation and Demand Response

The use of distribution networks in the current scenario of high penetration of Distributed Generation (DG) is a problem of great importance. In the competitive environment of electricity markets and smart grids, Demand Response (DR) is also gaining notable impact with several benefits for the whole system. The work presented in this paper comprises a methodology able to define the cost allocation in distribution networks considering large integration of DG and DR resources. The proposed methodology is divided into three phases and it is based on an AC Optimal Power Flow (OPF) including the determination of topological distribution factors, and consequent application of the MW-mile method. The application of the proposed tariffs definition methodology is illustrated in a distribution network with 33 buses, 66 DG units, and 32 consumers with DR capacity.

Optimization of Generation and Aggregated Consumption Shifting for Demand Response Programs Definition

The concept of demand response has drawing attention to the active participation in the economic operation of power systems, namely in the context of recent electricity markets and smart grid models and implementations. In these competitive contexts, aggregators are necessary in order to make possible the participation of small size consumers and generation units. The methodology proposed in the present paper aims to address the demand shifting between periods, considering multi-period demand response events. The focus is given to the impact in the subsequent periods. A Virtual Power Player operates the network, aggregating the available resources, and minimizing the operation costs. The illustrative case study included is based on a scenario of 218 consumers including generation sources.

Data Mining Approach to support the Generation of Realistic Scenarios for Multi-Agent simulation of Electricity Markets

This paper presents the Realistic Scenarios Generator (RealScen), a tool that processes data from real electricity markets to generate realistic scenarios that enable the modeling of electricity market players’ characteristics and strategic behavior. The proposed tool provides significant advantages to the decision making process in an electricity market environment, especially when coupled with a multi-agent electricity markets simulator. The generation of realistic scenarios is performed using mechanisms for intelligent data analysis, which are based on artificial intelligence and data mining algorithms. These techniques allow the study of realistic scenarios, adapted to the existing markets, and improve the representation of market entities as software agents, enabling a detailed modeling of their profiles and strategies. This work contributes significantly to the understanding of the interactions between the entities acting in electricity markets by increasing the capability and realism of market simulations.

Corporate finance in general equilibrium models with incomplete markets: A survey

A Masters Thesis, presented as part of the requirements for the award of a Research Masters Degree in Economics from NOVA – School of Business and Economics

The financial system in Mozambique: Opportunities, barriers and market potential

This research is empirical and exploratory intending to analyse the attractiveness of banking in Mozambique, considering its positive outlook. To identify the opportunities and barriers, the methods adopted were elite interviews with banking executives, complemented by secondary data. The opportunities for new entrants seem to include bankarization and the emergence of micro and smallmedium enterprises; other avenues seem to include investment banking, support of mega-projects (e.g. energy, infrastructures) through syndicates and cooperation with multilaterals, and the participation in developing capital markets. Conversely, the main barriers include shortage of talent, inadequate infrastructures, poverty, unsophisticated entrepreneurial culture (e.g. informal economy, inadequate financial reporting), burdensome bureaucracy (e.g. visas), foreign exchange regulation, as well as low liquidity and high funding costs for banks. The key conclusions suggest a window of opportunity for niche markets, and new products and services in retail and investment banking.

Money never sleeps – overnight returns in equity markets

The present research analyses overnight returns’ outperformance in relation to daytime returns. In a first stage, it will be assessed whether these returns are robust throughout time, markets and across different scopes of analysis (e.g. weekdays, months, states of the economy). In a second stage, several hypothesis will be empirically tested, in an attempt to understand what drives non-trading period returns (e.g. liquidity, market volatility). Even though several authors have analysed overnight returns and suggested several explanatory factors, there seems to be no consensus in the literature regarding its drivers.

Understanding impact readiness in Portugal’s social sector and designing a framework for capacity-building for social impact

This project is based on the theme of capacity-building in social organisations to improve their impact readiness, which is the predictability of delivering intended outcomes. All organisations which have a social mission, non-profit or for-profit, will be considered to fall within the social sector for the purpose of this work. The thesis will look at (i) what is impact readiness and what are the considerations for building impact readiness in social organisations, (ii) what is the international benchmark in measuring and building impact readiness, (iii) understand the impact readiness of Portuguese social organisations and the supply of capacity building for social impact in Portugal currently, and (iv) provide recommendations on the design of a framework for capacity building for impact readiness adapted to the Portuguese context. This work is of particular relevance to the Social Investment Laboratory, which is a sponsor of this project, in its policy work as part of the Portuguese Social Investment Taskforce (the “Taskforce”). This in turn will inform its contribution to the set-up of Portugal Inovação Social, a wholesaler catalyst entity of social innovation and social investment in the country, launched in early 2015. Whilst the output of this work will be set a recommendations for wider application for capacity-building programmes in Portugal, Portugal Inovação Social will also clearly have a role in coordinating the efforts of market players – foundations, corporations, public sector and social organisations – in implementing these recommendations. In addition, the findings of this report could have relevance to other countries seeking to design capacity building frameworks in their local markets and to any impact-driven organisations with an interest in enhancing the delivery of impact within their work.

Expanding to institutionally different countries. Reasons, Firm International Experience, and Entry Mode Choice

We examine entry mode choice and its consequences when a multinational enterprise (MNE) expands into an institutionally different country. We argue that discussions of entry mode should distinguish between informal (e.g., culture) and formal (e.g., laws) institutions, and should take into account not just the home country of the MNE and its distance to the focal host country, but the MNE's overall footprint and experience across the world in general, especially in countries with an institutional structure that is similar to that of the focal host country. Specifically, we argue that firms with experience in countries with different informal institutions will be more likely to enter via acquisitions than firms without such experience, that such experience will not matter as much in the case of formal institutions, and that such firms will exit more quickly when they enter via equity alliances than through full acquisitions. We also distinguish between balanced and unbalanced alliances and argue that balanced alliances will be more enduring, but only when the host country is culturally (not legally) different from the other countries where the MNE has experience. Our arguments suggest that entry mode should be conditioned on a firm's experience in other markets, and that intercountry differences in formal versus informal institutions have distinct influences on entry mode.

The implications of being an international medical graduate (IMG) in Canadian society : a qualitative study of foreign-trained physicians' resettlement, sense of identity and health status

This qualitative research study used grounded theory methodology to explore the settlement experiences and changes in professional identity, self esteem and health status of foreign-trained physicians (FTPs) who resettled in Canada and were not able to practice their profession. Seventeen foreign-trained physicians completed a pre-survey and rated their health status, quality of life, self esteem and stress before and after coming to Canada. They also rated changes in their experiences of violence and trauma, inclusion and belonging, and racism and discrimination. Eight FTPs from the survey sample were interviewed in semi-structured qualitative interviews to explore their experiences with the loss of their professional medical identities and attempts to regain them during resettlement. This study found that without their medical license and identity, this group of FTPs could not fully restore their professional, social, and economic status and this affected their self esteem and health status. The core theme of the loss of professional identity and attempts to regain it while being underemployed were connected with the multifaceted challenges of resettlement which created experiences of lowered selfesteem, and increased stress, anxiety and depression. They identified the re-licensing process (cost, time, energy, few residency positions, and low success rate) as the major barrier to a full and successful settlement and re-establishment of their identities. Grounded research was used to develop General Resettlement Process Model and a Physician Re-licensing Model outlining the tasks and steps for the successfiil general resettlement of all newcomers to Canada with additional process steps to be accomplished by foreign-trained physicians. Maslow's Theory of Needs was expanded to include the re-establishment of professional identity for this group to re-establish levels of safety, security, belonging, self-esteem and self-actualization. Foreign-trained physicians had established prior professional medical identities, self-esteem, recognition, social status, purpose and meaning and bring needed human capital and skills to Canada. However, without identifying and addressing the barriers to their full inclusion in Canadian society, the health of this population may deteriorate and the health system of the host country may miss out on their needed contributions.

Advocating recognition and redistribution in poverty alleviation programs in Ghana : an examination of state and NGO programs and policies

Abstract This thesis argues that poverty alleviation strategies and programs carried out by the government and Non Governmental Organizations in Ghana provide affirmative solutions to poverty. This is because, these intervention strategies have been influenced by conventional discourses on poverty that fail to adequately address non-economic issues of poverty such as powerlessness, marginalization and tmder-representation. The study is carried out in a two-pronged manner; first, it analyses state policies and strategies, particularly the Ghana Poverty Reduction Strategy (GPRS), on poverty alleviation and compares these to NGO programs, implemented with funds and support from external donor organizations. Specifically, I focus on how NGOs and the governnlent of Ghana negotiate autonomy and financial dependency with their funding donor-partners and how these affect their policies and programs. Findings from this study reveal that while external influences dominate poverty alleviation policies and strategies, NGOs and the government of Ghana exercise varying degrees of agency in navigating these issues. In particular, NGOs have been able to adapt their programs to the changing needs of donor markets, and are also actively engaged in re-orienting poverty back to the political domain through advocacy campaigns. Overall, rural communities in Ghana depend on charitable NGOs for the provision of essential social services, while the Ghanaian government depends on international donor assistance for its development projects.

Interaction and knowledge exchange among academic business librarians in Ontario

A research project submitted to the Faculty of Extension, University of Alberta in partial fulfillment of the requirements for the degree of Master of Arts in Communications and Technology in 2005.