Establishing paleorecords in the galapagos using hydrogen isotope ratios as a proxy for climate change

Senior thesis written for Oceanography 445

Measurement of pH: comparing methods across the Kuroshio Extension

Senior thesis written for Oceanography 445

The fate of biologically produced methane in an anoxic fjord in British Columbia

Senior thesis written for Oceanography 445

The effect of shore armoring on beach slope in mixed sand-and-gravel beaches

Senior thesis written for Oceanography 445

Variation in phytoplankton abundance along a transect of the Kuroshio

Senior thesis written for Oceanography 445

Evaluating Changes of the Anthropogenic Carbon Inventory in the Northwestern Pacific using 13C

Senior thesis written for Oceanography 445

Survey of dinoflagellate cysts in Barkley Sound, Vancouver Island, Canada

Senior thesis written for Oceanography 445

Differential Benefit: Preschool Children, Quality of Early Childhood Education Environment and Developmental Gains Important for School Readiness

Thesis (Ph.D.)--University of Washington, 2014

Spatial variability in surface sediment organic carbon structure in Barkley Sound, Vancouver Island, Canada

Senior thesis written for Oceanography 445

Relatório de estágio em nutrição em pediatria

Relatório de estágio de mestrado, Nutrição Clínica, Universidade de Lisboa, Faculdade de Medicina, 2014

Marking definiteness multiply: evidence from two varieties of Greek

Θέμα της μελέτης μας είναι οι πολυοριστικές δομές σε δύο νεοελληνικές ποικιλίες, την πρότυπη ελληνική (ΠΕ) και την καππαδοκική διάλεκτο (ΚΕ). Παρά την επιφανειακή ομοιότητα, οι δομές αυτές διαφέρουν ως προς τις συντακτικές και σημασιολογικές τους ιδιότητες. Για την ΠΕ υιοθετούμε την ανάλυση των Lekakou & Szendrői (2007, 2009, 2012, 2013), σύμφωνα με την οποία οι πολυοριστικές δομές είναι ένα είδος ονοματικής επεξήγησης, με την ιδιαιτερότητα ότι περιέχουν δομή ονοματικής απαλοιφής (noun ellipsis). Στην ΚΕ, η υποχρεωτική φύση του φαινομένου μας οδηγεί στην πρόταση ότι πρόκειται για ένα είδος μορφοσυντακτικής συμφωνίας. Συγκεκριμένα, τα άρθρα που συνοδεύουν το επίθετο είναι δείκτες ονοματικής συμφωνίας ως προς την οριστικότητα και προκύπτουν μετα-συντακτικά, στο θεωρητικό πλαίσιο της Κατανεμημένης Μορφολογίας. Υποστηρίζουμε ότι μια ενιαία ανάλυση της οριστικότητας στις δύο ποικιλίες είναι εφικτή, εφόσον δεχτούμε ότι σημασιολογική οριστικικότητα δεν εκφράζει κανένα από τα εκπεφρασμένα άρθρα, αλλά ένας φωνολογικά κενός τελεστής.

Virtual power players demand response programs management based on locational marginal prices

Power systems have been suffering huge changes mainly due to the substantial increase of distributed generation and to the operation in competitive environments. Virtual power players can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. Resource management gains an increasing relevance in this competitive context, while demand side active role provides managers with increased demand elasticity. This makes demand response use more interesting and flexible, giving rise to a wide range of new opportunities.This paper proposes a methodology for managing demand response programs in the scope of virtual power players. The proposed method is based on the calculation of locational marginal prices (LMP). The evaluation of the impact of using demand response specific programs on the LMP value supports the manager decision concerning demand response use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 32 bus network with intensive use of distributed generation.

Data mining techniques contributions to support electrical vehicle demand response

The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period. To support network operator actions, the amount of demand response usage can be estimated using data mining techniques applied to a database containing a large set of operation scenarios. The paper includes a case study based on simulated operation scenarios that consider different operation conditions, e.g. available renewable generation, and considering a diversity of distributed resources and electric vehicles with vehicle-to-grid capacity and demand response capacity in a 33 bus distribution network.

ANN-Based LMP forecasting in a distribution network with large penetration of DG

In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment. In order to achieve their objectives, virtual power players and single players are required to optimize their energy resource management process. To achieve this, it is essential to have financial resources capable of providing access to appropriate decision support tools. As small players have difficulties in having access to such tools, it is necessary that these players can benefit from alternative methodologies to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), and intended to support smaller players. In this case the present methodology uses a training set that is created using energy resource scheduling solutions obtained using a mixed-integer linear programming (MIP) approach as the reference optimization methodology. The trained network is used to obtain locational marginal prices in a distribution network. The main goal of the paper is to verify the accuracy of the ANN based approach. Moreover, the use of a single ANN is compared with the use of two or more ANN to forecast the locational marginal price.

Energy resource scheduling in a real distribution network managed by several virtual power players

Smart Grids (SGs) appeared as the new paradigm for power system management and operation, being designed to integrate large amounts of distributed energy resources. This new paradigm requires a more efficient Energy Resource Management (ERM) and, simultaneously, makes this a more complex problem, due to the intensive use of distributed energy resources (DER), such as distributed generation, active consumers with demand response contracts, and storage units. This paper presents a methodology to address the energy resource scheduling, considering an intensive use of distributed generation and demand response contracts. A case study of a 30 kV real distribution network, including a substation with 6 feeders and 937 buses, is used to demonstrate the effectiveness of the proposed methodology. This network is managed by six virtual power players (VPP) with capability to manage the DER and the distribution network.