Academic literature on the topic 'Energy policy Australia Mathematical models'
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Journal articles on the topic "Energy policy Australia Mathematical models"
Elghaish, Faris, M. Reza Hosseini, Saeed Talebi, Sepehr Abrishami, Igor Martek, and Michail Kagioglou. "Factors Driving Success of Cost Management Practices in Integrated Project Delivery (IPD)." Sustainability 12, no. 22 (November 16, 2020): 9539. http://dx.doi.org/10.3390/su12229539.
Full textKim, Hu Gon, Yong Joo Chung, and Chun Hyun Paik. "Mathematical Constraints Representation for Bottom-Up Approaches to Climate Policy Modeling." Advanced Materials Research 734-737 (August 2013): 3133–36. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.3133.
Full textKolosok, Svitlana, Tetyana Pimonenko, Alona Yevdokymova, Nazim Ozbey Hajiyev, Maksym Palienko, and Lesya Prasol. "Energy efficiency policy: impact of green innovations." Marketing and Management of Innovations, no. 4 (2020): 50–60. http://dx.doi.org/10.21272/mmi.2020.4-04.
Full textMakarov, V. "The Symbiosis of Economic Science and Practice in Reforming (On the Book by S. Ya. Chernavsky “Reforms of the Energy Regulated Branches in Russia”)." Voprosy Ekonomiki, no. 10 (October 20, 2014): 114–24. http://dx.doi.org/10.32609/0042-8736-2014-10-114-124.
Full textDuan, Jon, G. Cornelis van van Kooten, and A. T. M. Hasibul Islam. "Calibration of Grid Models for Analyzing Energy Policies." Energies 16, no. 3 (January 23, 2023): 1234. http://dx.doi.org/10.3390/en16031234.
Full textRobin, Libby. "Uncertain Seasons in the El Niño Continent: Local and Global Views." Australia, no. 28/3 (January 15, 2019): 7–19. http://dx.doi.org/10.7311/0860-5734.28.3.02.
Full textOnyx, Jenny, Liz Cham, and Bronwen Dalton. "Current Trends in Australian Nonprofit Policy." Nonprofit Policy Forum 7, no. 2 (June 1, 2016): 171–88. http://dx.doi.org/10.1515/npf-2015-0023.
Full textTonn, B. E. "A Method for the Nonstatistical Assessment of Behaviorally-Based Policy Models." Environment and Planning A: Economy and Space 20, no. 5 (May 1988): 669–79. http://dx.doi.org/10.1068/a200669.
Full textLau, Henry. "Monitoring Quality of Components by Fuzzy Control Principle." International Journal of Reliability, Quality and Safety Engineering 05, no. 02 (June 1998): 133–45. http://dx.doi.org/10.1142/s0218539398000145.
Full textWhite, DH, and PJ Bowman. "Economics of feeding energy-based supplements to grazing ewes before mating in order to increase the reproduction rate of a wool-producing flock." Australian Journal of Experimental Agriculture 27, no. 1 (1987): 11. http://dx.doi.org/10.1071/ea9870011.
Full textDissertations / Theses on the topic "Energy policy Australia Mathematical models"
Jaforullah, Mohammad. "Energy modelling in a general equilibrium framework with alternative production specifications." Title page, contents and astract only, 1988. http://web4.library.adelaide.edu.au/theses/09PH/09phj23.pdf.
Full textKwok, Ho King Calvin Actuarial Studies Australian School of Business UNSW. "Energy price modelling and risk management." Awarded by:University of New South Wales. Actuarial Studies, 2007. http://handle.unsw.edu.au/1959.4/40602.
Full textAnasis, John George. "A Combined Energy and Geoengineering Optimization Model (CEAGOM) for Climate Policy Analysis." PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2620.
Full textMasudi, Opese. "BelMod: a multi-sector, inter-regional general equilibrium model for Belgium." Doctoral thesis, Universite Libre de Bruxelles, 2012. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209692.
Full textBelMod is intended to act as an analytical and quantitative support for decision-making in the energy/environment field and fiscal policies. The tool would be in evaluating ex-ante the cost and benefit of different policies to be implemented. The winners and the losers may easily be identified. BelMod also aims at filling the gaps left by the other models currently used in Belgium, in particular by explicit bottom-up modelling of the three Belgian regions (Brussels, Flanders, Wallonia) in the full integrated framework, by further disaggregating the production and consumption blocks, by distinguishing different types of households to study the distributional effects of environmental and fiscal policies.
The effect of let’s say, carbon tax, may affect branches of activities, markets and institutions differently over time and space. Under the “Burden Sharing Agreement”, Belgium committed to reduce its greenhouse gas emissions by 7.5 % by 2008-2012 from the 1990 level. Therefore the efficient way of dealing with this issue requires an analytical tool which can take into account the interactions between institutional agents (regional governments, community’s governments, central government, households, firms and rest of the world), their behaviour and the time horizon. The most adequate tool to do so is the general equilibrium model.
A CGE model such as BelMod requires a consistent, detailed and well structured database in the form of a social accounting matrix (SAM). A SAM is a square matrix which takes into account the production, consumption, revenues, expenditures and transactions of institutions at a given period of time. The reference year for our SAM is 2003. The SAM we built contains sixty two (62) branches of activity, sixty nine (69) commodities, three (3) regional governments, the French Community, the Central Government, the capital accounts and the Rest of the World.
Finally, to illustrate the capabilities of the model we provide two scenario analyses. In the first policy scenario, we simulate the introduction of a carbon tax at 20 euro per ton of CO2 emissions in 2013-2020 and 30 euro per ton of CO2 emissions in 2021-2050. In the second policy scenario, we simulate a linear and gradual increase of the crude oil price to 150 US dollars per barrel in 2050. The increase starts in 2008 and the target (150 US dollars) is reached in 2050.
Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished
Parsa, Maryam. "Optimum Decision Policy for Gradual Replacement of Conventional Power Sources by Clean Power Sources." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24015.
Full textQUINHONEIRO, FERNANDO H. F. "Desenvolvimento de metodologia de análise de indicadores de sustentabilidade como ferramenta para tomada de decisão utilizando lógica fuzzy." reponame:Repositório Institucional do IPEN, 2015. http://repositorio.ipen.br:8080/xmlui/handle/123456789/26368.
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Dissertação (Mestrado em Tecnologia Nuclear)
IPEN/D
Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP
Siddique, Sharif Rayhan. "Development of policies to ameliorate the environmental impact of cars in Perth City, using the results of a stated preference survey and air pollution modelling." University of Western Australia. Faculty of Business, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0165.
Full textJaforullah, Mohammad. "Energy modelling in a general equilibrium framework with alternative production specifications / Mohammad Jaforullah." Thesis, 1988. http://hdl.handle.net/2440/18835.
Full textMui, Suet-Lam. "A cardiovascular disease policy model for Australia using a microsimulation approach." Phd thesis, 1999. http://hdl.handle.net/1885/147334.
Full textAmrutha, A. A. "A Class of Mathematical Models for Low Carbon Electricity Planning." Thesis, 2015. http://etd.iisc.ernet.in/2005/3934.
Full textBooks on the topic "Energy policy Australia Mathematical models"
Mathematical economics of multi-level optimisation: Theory and application. Heidelberg: Physica-Verlag, 1998.
Find full textJean-Baptiste, Lesourd, Percebois Jacques, and Valette François, eds. Models for energy policy. London: Routledge, 1996.
Find full textSengupta, Ramprasad. Energy modelling for India: Towards a policy for commercial energy. New Delhi: Planning Commission, Govt. of India, 1993.
Find full textW, Bunn Derek, and Larsen Erik R, eds. Systems modelling for energy policy. Chichester: Wiley, 1997.
Find full textP, Weyant John, ed. Energy and environmental policy modeling. Boston: Kluwer Academic Publishers, 1999.
Find full textAgency, International Energy, ed. Mapping the energy future: Energy modelling and climate change policy. Paris: International Energy Agency, 1998.
Find full text1942-, Meier Peter, ed. Energy policy analysis and modeling. Cambridge [England]: Cambridge University Press, 1993.
Find full textCarabulea, A. Models of real and optimum energy balances. Amsterdam: Elsevier, 1990.
Find full textZInthraprawit, Dūangc̆hai Z. Development of analytic methodologies to incorporate renewable energy in domestic energy and economic planning. Honolulu, Hawaii, USA: APEC Secretariat, 1999.
Find full textTaiwan neng yuan mi ji du fen xi. Taibei Shi: Zhonghua jing ji yan jiu yuan, 1994.
Find full textBook chapters on the topic "Energy policy Australia Mathematical models"
Gallo, Federico, Pierluigi Contucci, Adam Coutts, and Ignacio Gallo. "Tackling Climate Change Through Energy Efficiency: Mathematical Models to Offer Evidence-Based Recommendations for Public Policy." In Applications of Mathematics in Models, Artificial Neural Networks and Arts, 131–46. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8581-8_7.
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