Apr 282011
 

Ha! Gotcha! However since you’re here here’s an update on what the STEEV project’s been up to. On Tuesday 26 April Fiona and I held a Skype telecon with Simon at Cardiff University. Simon demonstrated the background to the energy efficiency model and explained the construction of the building clusters which assigns each building (houses) into a particular cluster or category according to a number of criteria including building dimensions, fabric performance, appliances, solar gain, space heating etc.

As a result of our discussion the Cardiff team are revisiting issues relating to the raw building data and the subsequent clusters with a view to developing a simpler modelling technique which would allow different fuel scenarios to be modelled more quickly. As part of this exercise we have established that a functional specification is required pertaining to the visualisation tool detailing purpose, scope, objectives, database structure, GUI, internal and external interfaces etc.  The formalisation of this aspect will offer clarity on both utility and content delivery.

As an aside there’s an interesting and interactive web tool hosted by Department of Energy and Climate Change, Sciencewise-ERC and Delib. Basically it’s a modelling tool for the general public to play around with to try and get carbon emissions below 20% of 1990 levels by 2050…

2050 Web tool – http://my2050.decc.gov.uk/

 April 28, 2011  Posted by at 6:22 pm General Tagged with: , ,  2 Responses »
Apr 072011
 

Right, went to the doctors and guess what, they actually had something interesting to read in the waiting room. I could make up a story about how it was the Guardian and that I read about how established economies have large – but declining – carbon emissions. While the new economic giants are growing rapidly. But we all know that isn’t true (the bit about finding a copy of the Guardian in the Doctor’s surgery) – just like global warming isn’t true, right?!

Carbon emissions image of smoking chimney
(image by Liz|Populational courtesy of Flickr – CC BY 2.0)

Anyway, some 2009 World Carbon emissions data culled from the Guardian highlighting the potential for dubiety in statistical reporting:

On pure emissions alone, the key points are:

• China emits more CO2 than the US and Canada put together – up by 171% since the year 2000
• The US has had declining CO2 for two years running, the last time the US had declining CO2 for 3 years running was in the 1980s
• The UK is down one place to tenth on the list, 8% on the year. The country is now behind Iran, South Korea, Japan and Germany
• India is now the world’s third biggest emitter of CO2 – pushing Russia into fourth place
• The biggest decrease from 2008-2009 is Ukraine – down 28%. The biggest increase is the Cook Islands – up 66.7%

However that is only one way to look at the data – and it doesn’t take account of how many people live in each country. If you look at per capita emissions, a different picture emerges where:

• Some of the world’s smallest countries and islands emit the most per person – the highest being Gibraltar with 152 tonnes per person
• The US is still number one in terms of per capita emissions among the big economies – with 18 tonnes emitted per person
• China, by contrast, emits under six tonnes per person, India only 1.38
• For comparison, the whole world emits 4.49 tonnes per person

Futher details are available from the Guardian’s DataBlog article:
http://www.guardian.co.uk/news/datablog/2011/jan/31/world-carbon-dioxide-emissions-country-data-co2
.

Project-wise, we’ve modelled sample data via the STEEV Mapping Demonstrator (previous blog post). We’re arranging for Steve Lannon (Welsh School of Architectire, Cardiff University) to demonstrate the EEP model in order for project staff to gain a familiarity with the processes and energy efficiency variables generated which will feedback into back-end data storage and modelling. Steve then aims to run the model, apply policy scenarios and deliver further tranches of variables with which we can then fine tune WMS-T aspects. We intend to get this work under way in next couple of weeks (bearing in mind the Easter break) so watch this space as they say!

By the way, the interesting read in the doctor’s surgery was an old Oor Wullie book – as commonplace as some religious texts in working class Scottish households!

 April 7, 2011  Posted by at 5:38 pm General Tagged with: , , ,  No Responses »
Apr 072011
 

JISC Infrastructure Call 15/10: Geospatial Strand
Project Name: Spatio-Temporal Energy Efficiency Visualisations (STEEV)

Directly Incurred Staff Costs

Project Manager, 25% FTE – £8,410
Software engineer, 50% FTE – £16,331
GI Analyst, 25 % FTE – £6,838
Social Media Officer, 10% FTE – £2,683
Web designer, UofE, 5% FTE – £1,602
PI/Manager, Cardiff University, 8% FTE – £4,332

Total Directly Incurred Staff (A) = £40,196

Directly Incurred Non-Staff

Travel and expenses* – £12,000
Hardware & software – £500

Total Directly Incurred Non-Staff (B) = £12,500

Total Directly Incurred Costs (C) = £52,696
(A+B=C)

Amount Requested from JISC – £74,572

Institutional Contributions – £21,665

Total Project Cost = £96,236

No. of FTEs: 1.23 over 6 individuals

* Includes allocation to Van de Sompel and colleague for project engagement, meetings and conference attendance. Note that their time and input to project is otherwise at zero-cost to JISC.

 April 7, 2011  Posted by at 5:29 pm Project Plan Tagged with: , , , ,  No Responses »
Apr 012011
 

Dr Fiona Hemsley-Flint, the STEEV GI Analyst, has imported the sample energy efficiency data provided by the Welsh School of Architecture, Cardiff University into a Postgres database where the full dataset will eventually be stored.

A mapserver/openlayers based mapping example has been set up and implements the WMS-Time querying capabilities (this is the capability of a web map server to accept temporal data requests – see http://mapserver.org/ogc/wms_time.html for further specification). Although this is only a basic example, it shows that it is possible to use the WMS-T successfully.

As an aside, it was also interesting to note the difference in performance between PostGIS and Shapefiles when querying the data through WMS-T – PostGIS had a much faster response time.

The test variable in this case is SAP rating. An energy performance measure (where 1 is very poor and 120 is excellent) similar to the Energy Performance Certificate used to assess domestic properties in England and Wales –
http://www.bre.co.uk/sap2009/

STEEV project energy efficiency map of SAP ratings for an area of South Wales

[Caption: 1:10,000 scale map of an area of South Wales – domestic SAP ratings for 1990 at individual dwelling level]

STEEV project energy efficiency map of SAP ratings for an area of South Wales

[Caption: 1:3,500 scale map of an area of South Wales – domestic SAP ratings for 2000 at individual dwelling level]

Further sample data are to be provided in the coming week or so.

 

 April 1, 2011  Posted by at 3:13 pm General 2 Responses »