Papers by Carla Henriques
International Transactions in Operational Research
Bookmarks Related papers MentionsView impact
Operational Research
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Renewable and Sustainable Energy Reviews, 2016
Bookmarks Related papers MentionsView impact
A macro-level energy model and its appliation to energy planning in Portugal is presented. The st... more A macro-level energy model and its appliation to energy planning in Portugal is presented. The study consists in modeling the energy system and its interactions with the whole economy by developing an input-output (IO) table, in which the energy sectors are disaggregated. A multiple objective linear programming (MOLP) model is then developed by using the coefficients in the IO table. The MOLP model is aimed at assisting planners and decision makers (DMs) to study, in an interactive way, alternative policy measures.
Bookmarks Related papers MentionsView impact
Multiple objective programming models allow to consider explicitly distinct axes of evaluation, g... more Multiple objective programming models allow to consider explicitly distinct axes of evaluation, generally conflicting and non-commensurable. In particular, multiple objective linear programming models (MOLP) based on the linear inter/intra industrial linkages of production can be used to study the interactions between the economy, the energy system and the environment. This kind of models allows assessing the environmental impacts, resulting from changes in the level of the economic activities sustained by distinct policies. However, the uncertainty associated with these model's coefficients, namely derived from Input-Output (I-O) analysis, may lead to conclusions that are not robust regarding the changes of the input data. In this context, we propose a MOLP model based on I-O analysis with interval coefficients, which allows to assess impacts on the economy, the energy system and the environment, based on the levels of activity of economic sectors consistent with distinct polic...
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
In response to the need of reducing Green House Gas (GHG) emissions, energy strategies in Europe ... more In response to the need of reducing Green House Gas (GHG) emissions, energy strategies in Europe advocate increasing the share of electricity generated from renewable energy sources (RES-E). RES-E production is considered to be a priority in the crusade against climate change, with a crucial role in Europe’s energy security. Several studies even suggest that renewable energy technology (RET) deployment will also be responsible for the creation of a large number of jobs. Nevertheless, the exact number of jobs created varies enormously across recent studies. Employment estimates may vary not only with the use of different methodologies but also with the consideration of different assumptions even when the same methodology is applied. The aim of this paper is to provide a clearer understanding of what are the implications of government support for RES-E on jobs, and to see if current claims over employment benefits are too optimistic or even pessimistic in light of these findings. Taki...
Bookmarks Related papers MentionsView impact
Technological and Economic Development of Economy, 2015
This paper develops a bottom-up approach in the scope of a multi-objective linear programming mod... more This paper develops a bottom-up approach in the scope of a multi-objective linear programming model (MOLP) based on Input-Output (I-O) analysis to account for investment options aimed at improving the thermal properties of building envelope (e.g., the insulation of external walls and roof, and the replacement of window frames and window glazing). This methodological framework aims at assessing the trade-offs between the overall employment, GDP and energy savings associated with the building sector (residential, private services and public services). Distinct impacts, namely on direct and indirect employment generation, environment (CO2 emissions), energy security supply (energy imports and renewable energy production) and other relevant economic indicators are also analysed. Different sets of input parameters for the economic context and the environmental impacts have been defined as interval coefficients to account for uncertainty. Robust solutions are then obtained by considering ...
Bookmarks Related papers MentionsView impact
Energy, 2015
Bookmarks Related papers MentionsView impact
International Series in Operations Research & Management Science, 2002
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Uploads
Papers by Carla Henriques
with great challenges regarding the policies it must follow in order to achieve the targets, which have been imposed both for the energy and environmental sectors, without discarding the economic and social issues that are associated to them.
Multiobjective linear programming models based on the linear inter/intra industrial linkages of production are used to study the interactions between the economy, the energy system and the environment. These models allow the decision-makers to incorporate distinct axes of evaluation, namely related with energy sustainable strategies, economic growth, social well-being and environmental concerns. In this manner, the decision-makers benefit from an analytical tool which allows them to assess the environmental impacts, resulting from changes in the level of production of the economic activities that might be sustained by distinct policies.
In most real-world situations, the coefficients of these models are not exactly known because data is scarce, difficult to obtain or estimate and the system being modeled might
be subject to changes. Therefore, these mathematical programming models for decision support must take explicitly into account, besides multiple and conflicting objective
functions, the treatment of the uncertainty associated with the coefficients.
Interval programming is an interesting approach to tackle uncertainty in mathematical programming models, since it does not require the specification of the probabilistic distributions (as in stochastic programming) or the possibilistic distributions (as in fuzzy programming) of the model coefficients. Interval programming just assumes that information about the range of variation of the uncertain coefficients is available. One of the main goals of this dissertation consisted in developing an interactive method for
multiobjective linear programming problems with interval coefficients, to study the interactions between the national economy, the energy system and the environmental
impacts, by supporting the decision-makers in the identification of robust solutions, that is solutions with good performance for different model coefficient settings.
An extensive work of data gathering has been made in order to develop a national realistic model. Some illustrative results, obtained by using that interactive method are analysed, emphasizing the usefulness of the proposed approach to provide decision aid to decision-makers.