Book Announcement From Danny Harvey: Energy and the New Reality Vols. 1&2 June 20, 2010Posted by Michael Hoexter in Climate Policy, Efficiency/Conservation, Green Building, Renewable Energy, Sustainable Thinking.
I recently became acquainted with the work of Danny Harvey, Prof. of Geography and a climate scientist at U. Toronto. Over the last few years, Danny has been putting together a large-scale energy plan that might be called a Renewable Electron Economy, to which a portion of this website is devoted. I believe Danny’s work is invaluable because he presents a great deal of detail about a wide range of technological solutions and also links these to climate scenarios. His website has a series of extensive powerpoint files which provide you with a great overview of most of the relevant issues in the climate and energy debate with a strong technical and scientific grounding. The materials on his website are available for educational use and with permission for other uses. Upon my request, he has sent the announcement of his new two volume book “Energy and the New Reality” published by Earthscan to which the powerpoint slides are linked. The first volume concerns reducing energy demand through energy efficiency and the second volume with carbon-free sources of energy. I highly recommend that anyone with even a mild interest in climate and energy issues take a look at Danny’s work.
Two new books by Danny Harvey (Dept of Geography, University of Toronto),
Energy and the New Reality, Volume 1: Energy Efficiency and the Demand for Energy Services (Earthscan, UK, 614 pages)
Energy and the New Reality, Volume 2: Carbon-Free Energy Supply (Earthscan, UK, 576 pages),
comprehensively and critically assess what it would take to stabilize atmospheric CO2 concentration at no greater than 450 ppmv, and can be purchased through links on my website (given in the email signature).
Some of the key conclusions from these books are that
• it is still technically and economically feasible to cap CO2 at no more than 450 ppmv without replacing existing nuclear power capacity as it retires and without resorting to carbon capture and storage (CCS), although the latter could be – in combination with bioenergy – part of a strategy to more rapidly draw down atmospheric CO2 from its peak than would otherwise occur;
• nuclear energy and CCS would, at best, be too little too late, whereas reliable C-free energy systems can be built up on the required time frame and likely at no greater cost than nuclear energy or CCS; and
• we will almost certainly have to abandon our insistence on continuous economic growth above all else if we are to have a reasonable chance of avoiding eventual global ecological and social catastrophe.
Complimenting these books are powerpoint presentations (with figures, summary tables, and explanatory notes) for each chapter (a total of 1899 slides) that can be obtained either through the publisher’s website (www.earthscan.co.uk/?tabid=102427) or the author’s website (faculty.geog.utoronto.ca/Harvey/Harvey/index.htm). These powerpoint files would be a valuable resource even without purchasing the books, but if slides from them are used in any public presentations, the source of the figures (whether the author of the books or the original sources given with the figures) should be acknowledged.
Also posted on my author’s website are (1) pdfs of the table of contents and chapter highlights for each book, (2) pdfs of the summary (policy) chapters from each book, (3) the package of Excel files used to generate all of the energy demand and supply scenarios presented in the two books, (4) an Excel-based building stock turnover and energy demand model, (5) the FORTRAN code and input files that are also used in one step in generating the energy demand scenarios, and (6) the flyer for the books and a link to the publisher’s website for those who wish to purchase the books (for professors, complimentary copies can be obtained if the books are adopted as course textbooks).
The author’s website also contains an Excel package on climate and carbon-cycle modeling that will be part of the online material associated with the author’s chapter in the forthcoming book, “Environmental Modelling: Finding Simplicity in Complexity, 2nd Edition” (Wiley-Blackwell, John Wainwright and Mark Mulligan, eds.). CO2 emission output from the Energy Excel package can be conveniently pasted into the second Excel package and used to generate scenarios of global mean temperature change for a variety of easily-changed assumptions concerning climate sensitivity and the strength of various climate-carbon cycle and internal carbon cycle feedbacks.
FURTHER DETAILS ON THE EXCEL FILES AND FORTRAN CODE:
The idea behind posting the Excel files and FORTRAN code is to permit those who are so interested to generate their own scenarios with their own input assumptions concerning population, GDP per person, activity levels per person, and physical energy intensities for various energy end uses in 10 different geopolitical regions, as well as to generate scenarios for energy supply from various C-free energy sources. Outputs from these files include global demand for fuels and electricity, annual material and energy inputs required to build a new energy infrastructure, land requirements for bioenergy, and annual and cumulative CO2 emissions to 2100 (the CO2 emissions in turn were used as inputs to a coupled climate-carbon cycle model to produce the scenarios of global mean warming and ocean acidification that are given in ENR Volume 2). The FORTRAN code applies a building stock turnover model to 2 different energy sources (fuels and electricity) in two different building sectors (residential and commercial) in the 10 geopolitical regions, and uses as input the growth in regional building floor area as generated from the Excel demand scenarios, along with a variety of other inputs.
The stock turnover model has also been implemented in Excel for one generic fuel, building type and region for those who wish to adjust the inputs to a particular region and building type of interest so as to explore the impact of alternative assumptions concerning growth in total floor area, rates of building renovation and replacement, and the change over time in the total energy intensity (annual energy use per unit floor area) of new buildings and of newly-renovated buildings.
The climate-carbon cycle Excel package (subsequently referred to as the CCC package) has three parts. The first part contains a number of worksheets that explain the physics of climate change and the development and properties of simple climate and carbon cycle model components. The second part of the CCC package contains a highly-simplified representation of the energy demand and supply framework used in my two energy books. These give scenarios of global fossil fuel emissions of CO2. CCC package also has worksheets that give land use emissions of CO2 and total anthropogenic emissions of CH4, N2O and halocarbons (all subject to alteration). The impacts (radiative forcings) of tropospheric ozone and aerosols are computed in a manner that is roughly consistent with the fossil fuel and land use CO2 emissions. The third part of the CCC package contains a coupled climate-carbon cycle model (built from the components illustrated in Part 1) that is driven by the outputs from Part 2. The climate sensitivity and a number of carbon-cycle and climate-carbon cycle feedbacks can be specified (including the possibility of eventually catastrophic releases of CO2 and methane from permafrost regions beginning slowly at some user-specified threshold temperature change). The climate-carbon cycle model in the CCC package can be driven either with the fossil fuel CO2 emissions that are generated from Part 2 of the package, or with the CO2 emissions that are produced from the Excel package for the two energy books (these emissions can be pasted into the CCC package). In this way, those who are so interested can explore the range of possible impacts on climatic change (given uncertainty in climate sensitivity and climate-carbon cycle feedbacks) resulting from very specific assumptions concerning future population, economic growth, activity levels and physical energy intensities at the regional level, and in the rate of deployment of C-free energy supplies at the global scale.