Hotel industry: An answer to the emerging trends on the global demand side of tourism

This dissertation studies essentially how Millennials are changing the hotel industry, in the sense that new trends are emerging with this generation and hotels need to respond accordingly, in order to survive within their competitive industry. Emphasis is also given to Asian travellers, as the enlargement of these countries’ middle class populations is predicted, therefore making Asian travellers a valuable target for the hotel industry. To successfully target this segment, hoteliers need also to consider the cultural differences and aspirations that come together with the Asian travellers, and appropriately adapt their offer to them. I will then redirect this study to the city of Lisbon, the Portuguese capital, to analyse if Lisbon’s four and five-star hotel managers are aware of the new market trends, and to understand how they are changing their hotels in order to make them more attractive to Millennials and Asian travellers. Using a sample of 12 hotels (four and five-stars ratings), I have concluded that, although there is a notable undergoing process of adaptation to these guests, there is a long way ahead in order for Lisbon’s hotels to entirely please and retain millennial guests.

Inclusion of disabled people in siemens AG'S energy management division

This work project is a business plan for a project regarding corporate social entrepreneurship that will be developed by Siemens Switchboard Factory in Corroios. The main purpose of this project is to understand the viability of a partnership between Siemens AG’s and CERCISA in order to include disabled people into Siemens AG’s Energy Management Division, with the goal of achieving social and economic impact by insources activities while complying with the law1. The produced output, a business plan, aims to study and understand the practical suitability and feasibility of the concepts and propose a sustainable project that can be replicated, starting with a pilot testing and validation period.

An agent-based simulator to estimate domestic energy use

Throughout recent years, there has been an increase in the population size, as well as a fast economic growth, which has led to an increase of the energy demand that comes mainly from fossil fuels. In order to reduce the ecological footprint, governments have implemented sustainable measures and it is expected that by 2035 the energy produced from renewable energy sources, such as wind and solar would be responsible for one-third of the energy produced globally. However, since the energy produced from renewable sources is governed by the availability of the respective primary energy source there is often a mismatch between production and demand, which could be solved by adding flexibility on the demand side through demand response (DR). DR programs influence the end-user electricity usage by changing its cost along the time. Under this scenario the user needs to estimate the energy demand and on-site production in advance to plan its energy demand according to the energy price. This work focuses on the development of an agent-based electrical simulator, capable of: (a) estimating the energy demand and on-site generation with a 1-min time resolution for a 24-h period, (b) calculating the energy price for a given scenario, (c) making suggestions on how to maximize the usage of renewable energy produced on-site and to lower the electricity costs by rescheduling the use of certain appliances. The results show that this simulator allows reducing the energy bill by 11% and almost doubling the use of renewable energy produced on-site.

Analysis and visualization of energy use for university campus

The reduction of greenhouse gas emissions is one of the big global challenges for the next decades due to its severe impact on the atmosphere that leads to a change in the climate and other environmental factors. One of the main sources of greenhouse gas is energy consumption, therefore a number of initiatives and calls for awareness and sustainability in energy use are issued among different types of institutional and organizations. The European Council adopted in 2007 energy and climate change objectives for 20% improvement until 2020. All European countries are required to use energy with more efficiency. Several steps could be conducted for energy reduction: understanding the buildings behavior through time, revealing the factors that influence the consumption, applying the right measurement for reduction and sustainability, visualizing the hidden connection between our daily habits impacts on the natural world and promoting to more sustainable life. Researchers have suggested that feedback visualization can effectively encourage conservation with energy reduction rate of 18%. Furthermore, researchers have contributed to the identification process of a set of factors which are very likely to influence consumption. Such as occupancy level, occupants behavior, environmental conditions, building thermal envelope, climate zones, etc. Nowadays, the amount of energy consumption at the university campuses are huge and it needs great effort to meet the reduction requested by European Council as well as the cost reduction. Thus, the present study was performed on the university buildings as a use case to: a. Investigate the most dynamic influence factors on energy consumption in campus; b. Implement prediction model for electricity consumption using different techniques, such as the traditional regression way and the alternative machine learning techniques; and c. Assist energy management by providing a real time energy feedback and visualization in campus for more awareness and better decision making. This methodology is implemented to the use case of University Jaume I (UJI), located in Castellon, Spain.

Caracterização da carga da doença arterial periférica dos membros inferiores : contributos para um melhor conhecimento do peso desta doença no internamento hospitalar

RESUMO - A doença arterial periférica (DAP) apresenta uma carga de doença significativa, afetando cerca de 3 a 10% da população em geral e 15 a 20% dos indivíduos com idade superior a 70 anos. A sua prevalência em Portugal foi estimada em cerca de 5,9% no continente; 6,6% na Região Autónoma dos Açores (RAA) e 3,8% na Região Autónoma da Madeira (RAM). Para além da importante carga de doença, quer em termos epidemiológicos, quer económicos, a DAP confere aos seus portadores um risco cardiovascular agravado, sendo que os mesmos apresentam cerca do triplo do risco de mortalidade e de eventos cardiovasculares quando comparados com indivíduos sem DAP. Tratou-se de um estudo observacional, transversal e descritivo tendo como base duas populações de estudo. A primeira é referente aos hospitais do Serviço Nacional de Saúde (SNS) com a valência de cirurgia vascular e a segunda à população portuguesa com episódios de internamento por diagnóstico de DAP dos membros inferiores (MI) nos anos de 2013 e 2014 na totalidade dos hospitais do SNS. Através da análise dos resultados do questionário procedeu-se à descrição de algumas das características dos serviços e unidades de cirurgia vascular de sete hospitais do SNS; através da análise da base de dados dos GDH para os anos de 2013 e 2014 procedeu-se à caracterização do peso do internamento por DAP dos membros inferiores a nível nacional no mesmo período. A DAP tem uma carga significativa e atendendo aos seus fatores de risco e história natural da doença, apresenta uma tendência crescente durante os próximos anos, representando por isso um enorme desafio para os sistemas de saúde. São, no entanto, necessários estudos mais aprofundados sobre o tema que permitam conhecer melhor o peso desta patologia e, de forma global, melhorar o planeamento, tendo por base a caracterização quer do lado da procura (dados epidemiológicos e peso no internamento), quer da oferta (capacidade instalada).

Yacht charter in Portugal- developing a business model for a sailing charter company

Given the signals that Portugal can be a great destination for charter sailing, the purpose of this work is to disprove this. Thereby the model of Porter’s five forces has been used to analyze the Portuguese yacht charter market, whereas a SWOT analysis should give an overview and compare the Portuguese market with the well running charter market of Croatia. The research outcome on the supply side as well as on the demand side should then serve as a foundation for establishing a model of a sailing charter company in Portugal, explained with the aid of the Canvas model.