Trade, Energy, and Carbon Dioxide: An Analysis for the Two Economies of Ireland. ESRI WP420. January 2012

In this paper we use a subsystem input-output decomposition analysis to examine the drivers of greenhouse gas emissions in the Republic of Ireland and in Northern Ireland. We use a bi-regional input-output analysis to look at how greenhouse gases in one region can be emitted as a result of demand in an exporting region. Looking at emissions generated throughout the island of Ireland, we find that emissions driven by demand in Northern Ireland are larger than those it generates, and vice-versa for the Republic of Ireland. We then use the input-output tables to simulate the effect of imposing a €15/tonne carbon tax in the Republic of Ireland. We find that this causes a decrease in final demand in the Republic of Ireland, and a decrease in output in both the Republic of Ireland and in Northern Ireland; the decrease is greater in the Republic as the domestically produced share of inputs is much larger than the imported share in all sectors

The Potential for Segmentation of the Retail Market for Electricity in Ireland. ESRI WP433. April 2012

We estimate the gross margin that is earned from the supply of electricity to households in Ireland. Using half hourly electricity demand data, the system marginal price (also called the wholesale price) and the retail price of electricity, we analyse how the gross margin varies across customers with different characteristics. The wholesale price varies throughout the day, thus, the time at which electricity is used affects the gross margin. The main factor in determining gross margin, however, is demand. The highest gross margins are earned from supplying customers that have the following characteristics: being aged between 46 and 55, having a household income of at least €75,000 per annum, being self–employed, having a third level education, having a professional or managerial occupation, living in a household with 7 or more people, living in a detached house, having at least 5 bedrooms or being a mortgage holder. An OLS regression shows that gross margin is partly explained by the energy conservation measures which are present in a household, the number of household members, the number of bedrooms, income, age, occupation and accommodation type

The Potential for Segmentation of the Retail Market for Electricity in Ireland. ESRI Research Bulletin 2013/3/1

Using data from the Smart Metering Consumer Behaviour Trial carried out by the Commission for Energy Regulation, we investigate whether the availability of real-time electricity use data will allow electricity supply companies to identify and target their most profitable consumers. As the wholesale price of electricity varies sharply over the diurnal cycle, profitability will also fluctuate throughout the day. At present the typical electricity supply company knows its customers’ monthly use, thus the availability of half-hourly electricity-use data via smart metering devices would constitute a revolution in data availability

Characterizing the genetic basis of methylome diversity in histologically normal human lung tissue

The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitative trait loci (meQTL) analyses. We report 34,304 cis- and 585 trans-meQTLs, a genetic-epigenetic interaction of surprising magnitude, including a regulatory hotspot. These findings are replicated in both breast and kidney tissues and show distinct patterns: cis-meQTLs mostly localize to CpG sites outside of genes, promoters and CpG islands (CGIs), while trans-meQTLs are over-represented in promoter CGIs. meQTL SNPs are enriched in CTCF-binding sites, DNaseI hypersensitivity regions and histone marks. Importantly, four of the five established lung cancer risk loci in European ancestry are cis-meQTLs and, in aggregate, cis-meQTLs are enriched for lung cancer risk in a genome-wide analysis of 11,587 subjects. Thus, inherited genetic variation may affect lung carcinogenesis by regulating the human methylome

Open data from the third observing run of LIGO, Virgo, KAGRA, and GEO

The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO 600. These detectors collected data during their third observing run, O3, composed of three phases: O3a starting in 2019 April and lasting six months, O3b starting in 2019 November and lasting five months, and O3GK starting in 2020 April and lasting two weeks. In this paper we describe these data and various other science products that can be freely accessed through the Gravitational Wave Open Science Center at https://gwosc.org. The main data set, consisting of the gravitational-wave strain time series that contains the astrophysical signals, is released together with supporting data useful for their analysis and documentation, tutorials, as well as analysis software packages

Search for eccentric black hole coalescences during the third observing run of LIGO and Virgo

Despite the growing number of binary black hole coalescences confidently observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Orbital eccentricity is one of the clearest tracers of binary formation channels. Identifying binary eccentricity, however, remains challenging due to the limited availability of gravitational waveforms that include the effects of eccentricity. Here, we present observational results for a waveform-independent search sensitive to eccentric black hole coalescences, covering the third observing run (O3) of the LIGO and Virgo detectors. We identified no new high-significance candidates beyond those that have already been identified with searches focusing on quasi-circular binaries. We determine the sensitivity of our search to high-mass (total source-frame mass M > 70 M⊙) binaries covering eccentricities up to 0.3 at 15 Hz emitted gravitational-wave frequency, and use this to compare model predictions to search results. Assuming all detections are indeed quasi-circular, for our fiducial population model, we place a conservative upper limit for the merger rate density of high-mass binaries with eccentricities 0 < e ≤ 0.3 at 16.9 Gpc−3 yr−1 at the 90% confidence level

Trade, energy, and carbon dioxide: An analysis for the two economies of Ireland

In this paper we use a subsystem input-output decomposition analysis to examine the drivers of greenhouse gas emissions in the Republic of Ireland and in Northern Ireland. We use a bi-regional input-output analysis to look at how greenhouse gases in one region can be emitted as a result of demand in an exporting region. Looking at emissions generated throughout the island of Ireland, we find that emissions driven by demand in Northern Ireland are larger than those it generates, and vice-versa for the Republic of Ireland. We then use the input-output tables to simulate the effect of imposing a €15/tonne carbon tax in the Republic of Ireland. We find that this causes a decrease in final demand in the Republic of Ireland, and a decrease in output in both the Republic of Ireland and in Northern Ireland; the decrease is greater in the Republic as the domestically produced share of inputs is much larger than the imported share in all sectors