87 research outputs found
Techno-economic data for a multi-model approach to decarbonisation of the Irish private car sector
No full textThese data and analyses support the research article “From technology pathways to policy roadmaps to enabling measures – A multi-model approach” Mulholland et al. (2017) [1]. This article uses 3 models – an optimization model of the Irish energy system (Irish TIMES), a simulation model of the Irish private transport sector (CarSTOCK), and a market share algorithm used to provide a behavior rich representation into the multi-modelling process. Each of these models are linked to provide a technology pathway, policy roadmap, and finally identify the enabling measures of the private transport sector in a low-carbon Ireland moving toward 2050. The article is organized in the same order, firstly providing the key modelling assumptions and operability of Irish TIMES, secondly for CarSTOCK, and finally for the market share algorithm. All data is supplied within this article
Techno-economic and socio-economic modelling of energy in road transport to inform climate policy
No full textThe release of increasing amounts of anthropogenic greenhouse gas emissions and the corresponding global temperature rise has prompted a growing political consensus on a decarbonised future to prevent any sustained economic or environmental harm. Many countries are using modelling tools to develop strategies and policy measures to deliver timely and effective reductions of harmful greenhouse gas emissions across all energy related sectors. Techno-economic models have a track record in developing low carbon pathways from a technical standpoint, though they have generally failed to adequately account for the underlying socio-economic behaviour which drives consumers in their choices. This thesis highlights and addresses this failing in two parts with a focus on road transport, one of the most difficult sectors to decarbonise. The first part of this thesis reviews the functionality of techno-economic road transportation models and identifies the limitations associated with their operation. The thesis expands upon the International Energy Agency’s global techno-economic simulation transport model, MoMo, with a focus on the freight sector. Next, a national focus is provided, building and applying a simulation techno-economic model of Ireland’s light commercial vehicle stock. This is soft-linked with an optimisation model of the Irish energy system, Irish TIMES. This multi-model methodology is then applied to Ireland’s private car sector, where the limitations of using techno-economic modelling techniques in isolation are identified. The second part of this thesis develops novel socio-economic approaches and integrates these with techno-economic models. A review of socio-economic modelling methods within transport models is performed, identifying the options available for integration with other models. These methods are then tested on the Irish and Danish private car sector, where a consumer choice model is built and integrated with a techno-economic simulation model. Finally, this integration is further coupled with a TIMES optimisation model, focusing on Denmark, which uses a time travel budget to further include behavioural realism into transport focused modelling. The contribution of this thesis is the improvements made to the modelling methods and more robust evidence base for developing sound low-carbon policy measures by integrating technoeconomic and socio-economic frameworks coupled with a combination of optimisation and simulation modelling methods within the road transportation sector
Creative Assets and the Changing Economy
No full textThis paper evaluates recent claims that art and culture have become more valuable assets in the new economy. Based on conversations with several prominent cultural economists, the author argues that advocates and scholars should be more cautious in their attempts to draw out the implications of the changing economy on culture. Rather than spend time calculating the impact or size of the “creative economy,” the author argues that we should direct our analytical and policy energies toward better understanding how creative work and institutions are changing and what might be done to foster a more robust, creative and diverse cultural life.
Increased risk of extreme heat to European roads and railways with global warming
No full textChanging climatic conditions pose a risk to existing transport infrastructures, generally built based on historic climate variations. When temperatures exceed built operating conditions, roads may require greater maintenance due to rutting, while railways are susceptible to buckling. We quantify the additional operation and maintenance (O&M) costs to railway and road infrastructures across the 27 Member States of the EU and the United Kingdom due to the projected rise in extreme heat for different levels of global warming. We integrate an ensemble of climate projections under RCP4.5 and RCP8.5, a high-resolution spatial representation of the rail and road network, and asset valuation and maintenance information derived from multi-country databases, with a road pavement damage model and a railway buckling simulation model. Under a 4°C scenario, increased levels of extreme heat in EU + UK cause annual transport O&M costs to rise by €4.8 billion, i.e. an overall 6.9% rise compared to current values. Mitigating emissions to comply with a 1.5°C, 2°C, and 3°C rise in global temperature limits the increase to €0.9 billion, €1.3 billion, and €2.8 billion, corresponding to O&M increases of 1.3%, 1.5%, 4.1% respectively. Depending on the value of the stock, replacement costs, and maintenance cycles in a country, the increase in risk can be much stronger. To pre-emptively limit risk, EU + UK road pavement construction standards and railway stress free temperatures should be updated to account for future changes in temperatures.JRC.C.6 - Economics of Climate Change, Energy and Transpor
Ethnicity Sensitive Author Disambiguation Using Semi-supervised Learning
No full textAuthor name disambiguation in bibliographic databases is the problem of
grouping together scientific publications written by the same person,
accounting for potential homonyms and/or synonyms. Among solutions to this
problem, digital libraries are increasingly offering tools for authors to
manually curate their publications and claim those that are theirs. Indirectly,
these tools allow for the inexpensive collection of large annotated training
data, which can be further leveraged to build a complementary automated
disambiguation system capable of inferring patterns for identifying
publications written by the same person. Building on more than 1 million
publicly released crowdsourced annotations, we propose an automated author
disambiguation solution exploiting this data (i) to learn an accurate
classifier for identifying coreferring authors and (ii) to guide the clustering
of scientific publications by distinct authors in a semi-supervised way. To the
best of our knowledge, our analysis is the first to be carried out on data of
this size and coverage. With respect to the state of the art, we validate the
general pipeline used in most existing solutions, and improve by: (i) proposing
phonetic-based blocking strategies, thereby increasing recall; and (ii) adding
strong ethnicity-sensitive features for learning a linkage function, thereby
tailoring disambiguation to non-Western author names whenever necessary
Irish Car Stock Model V 2.4
No full textLatest release of the Irish Car Stock Model Version 2.4
The Irish Car Stock Model was first developed by Daly and Ó Gallachoir (2011a), entitled "Modelling private car energy demand using a technological car stock model". It is available at: https://doi.org/10.1016/j.trd.2010.08.009.
Future scenarios were explored in Daly and Ó Gallachoir (2011b) entitled "Modelling future private car energy demand in Ireland", and is available at: https://doi.org/10.1016/j.enpol.2011.09.027
Further updates to the Irish Car Stock Model were developed by Mulholland et al. (2017), the article entitled "Techno-economic data for a multi-model approach to decarbonisation of the Irish private car sector" is available at: https://doi.org/10.1016/j.dib.2017.10.006.
Latest update is led by Vera O'Riordan, Hannah Daly, Fionn Rogan and Brian Ó Gallachóir.
Included in this repository is the latest version of the Irish Car Stock Model 2.4, current updates to the Irish Car Stock Model V 2.5 are ongoing.
For queries, errors and omissions please contact: [email protected]
Psychoanalysis as a positive interventions in the treatment of schizophrenia
No full textEndeavour to demonstrate psychoanalysis as a positive intervention in the treatment of schizophrenia. Questions compelling research and investigation for this Final Year Project; What happens to the ‘I’, the self in schizophrenia? In the disintegration of the self and the diminishment of boundaries between reality and phantasy what happens to the unconscious and the psyche. How does the language of Schizophrenia; this concoction of bizarre mutterings, delusions and hallucinations, function, for the Schizophrenic? How does the person experience the disintegration associated with Schizophrenia? Can psychoanalysis assist in developing a sense of self and an awareness of the other? The author would like to further investigate the question; is psychosis connected to the very thing that makes us human? However this lies outside the scope of this Final Year Project. Author keywords: Schizophrenia, Psychoanalysi
Author Correction: Reply to: Postbiotics - when simplification fails to clarify
No full textIn the original Supplementary Table associated with this Correspondence, the terms “postbiotic” and “ISAPP” were misspelled in the column heading and footnote, respectively. These errors have now been corrected and the Supplementary information updated online; for transparency, the updated Supplementary Table is available in the online version of this Correction.</p
Male gender role conflict and its effects on the therapeutic relationship
No full textThis study examines male gender role conflict (GRC) and its effect on therapeutic relationships in Ireland. The research was conducted to identify if psychotherapy and counselling training or personal therapy has an effect on GRC. Further investigation explored how GRC affects a man’s decision to seek counselling, and also its influence on their choice of gender when choosing a counsellor. The results also explore if GRC encourages/affects a preference in gender for the counsellors when choosing a client. The results were achieved by comparing the GRC levels from 20 counsellors and 20 non-counsellors. The GRC levels were obtained using a quantitative approach, employing the Gender Role Conflict Scale-Short Form (GRCS-SF) (Wester, Vogel, O'Neil, & Danforth, 2011) (Appendix 1) in order to measure the four factors that GRC affects: Success, Power, and Competition (SPC); Restricted Emotionality (RE); Restrictive and Affectionate Behaviour Between Men (RABBM); and Conflict Between Work and Family Relations (CBWFR). Author keywords: Gender role, conflict scale, socialisatio
Choosing, Using, and Building Effective Software Tools for Research with Symbolic Music Corpora
No full textFor a software tool to be useful for musical corpus studies, it should expose symbolic musical data, however it is stored, as a set of musically meaningful software abstractions; and support the batch manipulation of more than one piece of music with the help of these abstractions, preferably on the order of hundreds or thousands. In this chapter, the author explores the landscape of toolkits for analysis of symbolic corpora, including Humdrum and music21. In addition to providing a historical background to these tools, the author explores a number of use cases and introductory approaches to how to get started with each. Finally, the author discusses issues of maintainability and best practice in relation to research software
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