Microsoft Word - SustainabilityReport_BCC.doc

(Barry) #1
Institutions of higher education and the research community:


  • To develop curricula that encompass energy education;

  • To encourage the development of international collaborations on energy related
    issues.


The final set of recommendations is a sample list of areas of mathematics and
specific topics of research whose development would significantly enhance the role of
mathematicians in achieving sustainable energy production for a modern society:



  • Stochastic optimization of complex, dynamic systems: e.g. for storage, R&D
    portfolio optimization, grids, generators, users;

  • Incomplete economic models and stochastic games: e.g. for greenhouse gas
    emissions policy, power generation policies;

  • Inverse problems for PDEs and SPDEs for the design of new materials: e.g. for
    energy production, storage, transmission and conversion;

  • Modeling and simulation of multi-scale and multi-physics systems: e.g.
    downscaling of fluid mechanics equations for wind turbines, thin films, nanoscale
    materials;

  • Optimal sampling for estimation of climate change impact for market response to
    price signals, understanding new materials, sensor placement.


References:



  1. National Science Foundation, CHE-DMR-DMS Solar Energy Initiative, NSF 10-613,
    Technical report.
    http://www.nsf.gov/publications/pub_summ.jsp?org=MPS&ods_key=nsf10613

  2. Barmak K, Emelianenko,M, Golovaty D, Kinderlehrer D, Ta’asan SA (2004). New
    perspective on texture evolution. International Journal on Numerical Analysis Models
    1(1): 1-18,

  3. Bertsekas D, Tsitsiklis J (1996). Neuro-Dynamic Programming, Athena Scientific.

  4. Bhattacharya K, Friesecke G, James RD (1999). The mathematics of microstructure
    and the design of new materials. Proceedings National Academy of Science 96 :
    93328333.

  5. Birge J, Louveaux F (1997). Introduction to Stochastic Programming, Springer-
    Verlag.

  6. Carmona R, Fehr F, Hinz J, Porchet A (2010). Market designs for emissions trading
    schemes. SIAM Review 52 : 403-452.

  7. Delville R, Kasinathan S, Zhang Z, Humbeeck V, James RD, Schryvers DA (2011).
    Transmission electric microscopy study of phase compatibility in low hysteresis
    shape memory alloys. Phil. Mag.

  8. Fonseca I, Fusco N, Leoni G, Morini M (2007). Equilibrium configurations of
    epitaxially strained crystalline films: Existence and regularity results. Archives
    Rational Mechanical Analysis 186 : 477537.

  9. Glimm J, Hou S, Lee YH, Sharp D, Ye K (2004). Sources of uncertainty and error in
    the simulation of flow in porous media. Computational Applied Mathematics 23 : 109-
    120.

  10. Hastie T, Tibshirani R, Friedman J (2009).The Elements of Statistical Learning: Data
    Mining, Inference and Prediction, Springer Verlag.

Free download pdf