Access the full text.
Sign up today, get DeepDyve free for 14 days.
M. Filippini (2009)
Energy demand and energy efficiency in the OECD countriesThe Energy Journal, 32
M. Filippini, L. Hunt (2011)
Energy Demand and Energy Efficiency in the OECD Countries: A Stochastic Demand Frontier ApproachThe Energy Journal, 32
S. Lechtenböhmer, S. Samadi, Clemens Schneider (2011)
The potential role of energy efficiency in the transition to a low carbon society : a critical scenario review
J. Bentzen, Tom Engsted (1999)
A revival of the autoregressive distributed lag model in estimating energy demand relationshipsEnergy, 26
B. Larsen, R. Nesbakken (2004)
Household electricity end-use consumption: results from econometric and engineering modelsEnergy Economics, 26
(2006)
Reducing the environmental impact of housing
M. Farzanegan, Gunther Markwardt (2009)
The effects of oil price shocks on the Iranian economyEnergy Economics, 31
Management and Plan Organization, Energy Reports, various years
Y. Huang, J. Brodrick (2000)
A Bottom-Up Engineering Estimate of the Aggregate Heating and Cooling Loads of the Entire U.S. Building Stock
(2004)
Low emission buildings
Amir Fakehi, S. Ahmadi, A. Vakili (2013)
SCENARIO ANALYSIS OF IRAN'S FUTURE ENERGY DEMAND AND ITS ENVIRONMENTAL ISSUES FOR THE YEAR 2041, 01
F. Urban, R. Benders, H. Moll (2007)
Modelling energy systems for developing countriesEnergy Policy, 35
M. Aydinalp, V. Ugursal, A. Fung (2003)
Modelling of residential energy consumption at the national levelInternational Journal of Energy Research, 27
F. Adams, Yochanan Shachmurove (2007)
Projections of Chinese Energy Demands in 2020Environmental Economics eJournal
S. Moshiri (2013)
The Effects of the Energy Price Reform on Households Consumption in IranEnergyRN: Energy Economics (Topic)
K. Jiang, Xiu-lian Hu (2006)
Energy demand and emissions in 2030 in China: scenarios and policy optionsEnvironmental Economics and Policy Studies, 7
S. Bhattacharyya, G. Timilsina (2010)
A review of energy system modelsInternational Journal of Energy Sector Management, 4
F. Trieb (2005)
Concentrating Solar Power for the Mediterranean Region
M. Pesaran, Ronald Smith, T. Akiyama (1998)
Energy Demand In Asian Developing Economies
S. Lechtenböhmer, A. Schüring (2011)
The potential for large-scale savings from insulating residential buildings in the EUEnergy Efficiency, 4
(2005)
Comprehensive Transportation Studies of Iran, Tehran. Ministry of Road and Transportation, Road Transportation Annual Report, different years
Management and Plan Organization, Transportation Reports, various years
K. Medlock, R. Soligo (2001)
Economic Development and End-Use Energy DemandThe Energy Journal, 22
A. Rana (2003)
Evaluation of a Renewable Energy Scenario in India For Economic and Co2 Mitigation EffectsReview of Urban & Regional Development Studies, 15
A. Benthem, M. Romani (2009)
Fuelling Growth: What Drives Energy Demand in Developing Countries?The Energy Journal, 30
(2004)
Optimizing Energy Consumption in Industry Sector in the Next 20 Years, Iranian Fuel Conservation Organization, Tehran
(2007)
Modeling Energy Systems for Developing Countries , Energy Policy , 35 , 6 , 3473 - 82 . Energy Information Administration , International Energy Statistics
H. Farahbakhsh, V. Ugursal, A. Fung (1998)
A residential end‐use energy consumption model for CanadaInternational Journal of Energy Research, 22
(2004)
The Large Manufacturing Industries Survey, various years
(2005)
Energy Demand and Emissions in 2030 in China, Scenarios
B. Griffith, N. Long, P. Torcellini, R. Judkoff, D. Crawley, J. Ryan (2007)
Assessment of the Technical Potential for Achieving Net Zero-Energy Buildings in the Commercial Sector
R. Haas, L. Schipper (1998)
Residential energy demand in OECD-countries and the role of irreversible efficiency improvementsEnergy Economics, 20
C. Koopmans, D. Velde (2001)
Bridging the energy efficiency gap: using bottom-up information in a top-down energy demand modelEnergy Economics, 23
City of Tehran, Tehran Transportation and Traffic Studies, various years
(2001)
Bridging the Efficiency Gap: Using Bottom-up Information
(2005)
Figure 2 -Total Primary Energy Demand by Energy Type
(2000)
IFCO, Optimizing Energy Consumption in Industry Sector in the Next 20 Years, Iranian Fuel
M. Thring (1977)
World Energy OutlookElectronics and Power, 23
M. Sadeghi, H. Hosseini (2008)
Integrated Energy Planning for Transportation Sector--A Case Study for Iran with Techno-Economic ApproachEnergy Policy, 36
M. Ahmadian, Mona Chitnis, L. Hunt (2007)
Gasoline demand, pricing policy and social welfare in the Islamic Republic of IranOpec Review, 31
(2004)
Low emission buildings (LEB)
(2005)
Figure 1-Total Primary Energy Demand by Sectors
Iran: Medium Term Framework for Transition, Converting Oil Wealth to Development, A Country Economic Memorandum
S. Murakami, M. Levine, H. Yoshino, Takashi Inoue, T. Ikaga, Y. Shimoda, Shuichi Miura, T. Sera, M. Nishio, Y. Sakamoto, W. Fujisaki (2009)
Overview of energy consumption and GHG mitigation technologies in the building sector of JapanEnergy Efficiency, 2
P. Pilavachi, Th. Dalamaga, D. Valdalbero, J. Guilmot (2008)
Ex-post evaluation of European energy modelsEnergy Policy, 36
(2007)
International Energy Agency (IEA), World Energy Outlook
P. Crompton, Yanrui Wu (2004)
Energy consumption in China: past trends and future directionsEnergy Economics, 27
Lukas Swan, V. Ugursal (2009)
Modeling of end-use energy consumption in the residential sector: A review of modeling techniquesRenewable & Sustainable Energy Reviews, 13
(2003)
Global Low Energy Demand Scenarios
H. Davoudpour, M. Ahadi (2006)
The potential for greenhouse gases mitigation in household sector of Iran: cases of price reform/efficiency improvement and scenario for 2000–2010Energy Policy, 34
Purpose – Iran as an energy‐rich country faces many challenges in the optimal utilization of its vast resources. High rates of population and economic growth, a generous subsidies program, and poor resource management have contributed to rapidly growing energy consumption and high energy intensity over the past decades. The continuing trend of rising energy consumption will bring about new challenges as it will shrink oil export revenues, restraining economic activities. This calls for a study to explore alternative scenarios for the utilization of energy resources in Iran. The purpose of this paper is to model demand for energy in Iran and develop two business‐as‐usual and efficiency scenarios for the period 2005‐2030. Design/methodology/approach – The authors use a techno‐economic or end‐use approach to model energy demand in Iran for different types of energy uses and energy carriers in all sectors of the economy and forecast it under two scenarios: business as usual (BAU) and efficiency. Findings – Iran has a huge potential for energy savings. Specifically, under the efficiency scenario, Iran will be able to reduce its energy consumption 40 percent by 2030.The energy intensity can also be reduced by about 60 percent to a level lower than the world average today. Originality/value – The paper presents a comprehensive study that models the Iranian energy demand in different sectors of the economy, using data at different aggregation levels and a techno‐economic end‐use approach to illuminate the future of energy demand under alternative scenarios.
International Journal of Energy Sector Management – Emerald Publishing
Published: Apr 6, 2012
Keywords: Iran; Energy consumption; Energy management; Energy sector; Scenario analysis; End‐use; Energy efficiency
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.