Baldini, Mattia and Klinge Jacobsen, Henrik (2016): Optimal trade-offs between energy efficiency improvements and additional renewable energy supply: A review of international experiences. Published in: In 2016 13th International Conference on the European Energy Market (EEM) (2016)
Preview |
PDF
MPRA_paper_102031.pdf Download (314kB) | Preview |
Abstract
Energy efficiency is a key priority also from a climate perspective, but efforts to increase efficiency should be balanced with the effort to increase the share of renewable sources in order to reduce fossil emissions. The climate impact of various energy efficiency measures are quite different depending on the type of fuel used and the impact from the efficiency increase on energy costs and thereby the demand for that particular energy use. Therefore it is important to address the energy efficiency options together with the alternative to switch the energy supply towards renewable sources. This calls for models and analysis that incorporate both types of options and thereby address the trade-off in a consistent way. The literature dealing with the trade-off in a direct or less explicit way is categorized and reviewed here. The aim of this paper is to review and evaluate international experiences that include the trade-off between efficiency improvements and additional renewable energy supply whether in a partial analysis of a sector or in an energy system optimization model. A critical review of the approach, focusing on purpose, methodology and outcome, is provided along with a review of modelling tools adopted for the analyses. Models are categorized and presented according to their main characteristics (e.g. bottom- up/top-down model, regional/national analysis, partial/general equilibrium, static/dynamic model). This paper intends, to provide future modelers and policy evaluators with an overview of approaches and methodologies suitable for analyzing energy efficiency policies and options with a focus on the optimal trade-off between renewables and energy efficiency measures in energy-systems under different objectives.
Item Type: | MPRA Paper |
---|---|
Original Title: | Optimal trade-offs between energy efficiency improvements and additional renewable energy supply: A review of international experiences |
English Title: | Optimal trade-offs between energy efficiency improvements and additional renewable energy supply: A review of international experiences |
Language: | English |
Keywords: | Energy efficiency Energy models Optimal energy savings Energy policy |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q42 - Alternative Energy Sources Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q48 - Government Policy |
Item ID: | 102031 |
Depositing User: | Henrik Klinge Jacobsen |
Date Deposited: | 02 Aug 2020 15:33 |
Last Modified: | 02 Aug 2020 15:33 |
References: | [1]IPCC, “Climate Change 2014 Synthesis Report Summary Chapter for Policymakers,” IPCC, 2014. [2]Unfccc, “Kyoto Protocol To the United Nations Framework Kyoto Protocol To the United Nations Framework,” Review of European Community and International Environmental Law, 1998. [3]P. Ekins, “Step changes for decarbonising the energy system: research needs for renewables, energy efficiency and nuclear power,” Energy Policy, 2004. [4]European Commission, “Green Paper - A 2030 framework for climate and energy policies,” 2012. [5]I. M. de Alegr´ıa Mancisidor, P. D´ıaz de Basurto Uraga, I. Martınez de Alegr´ıa Mancisidor, and P. Ruiz de Arbulo Lo´pez, “European Union’s renewable energy sources and energy efficiency policy review: The Spanish perspective,” Renewable and Sustainable Energy Reviews, 2009. [6]P. Del Rio, “Analysing the interactions between renewable energy pro- motion and energy efficiency support schemes: The impact of different instruments and design elements,” Energy Policy, 2010. [7]N. Rajakovi, “Simulation-based optimization of sustainable national energy systems,” 2015. [8]A´ . Lo´pez-Pen˜a, I. Pe´rez-Arriaga, and P. Linares, “Renewables vs. energy efficiency: The cost of carbon emissions reduction in Spain,” Energy Policy, 2012. [9]V. Taseska-Gjorgievska, A. Dedinec, N. Markovska, G. Kanevce, G. Goldstein, and S. Pye, “Assessment of the impact of renewable energy and energy efficiency policies on the Macedonian energy sector development,” Journal of Renewable and Sustainable Energy, 2013. [10]S. Mallah and N. Bansal, “Renewable energy for sustainable electrical energy system in India,” Energy Policy, 2010. [11]P. Hennicke, S. Thomas, and W. Irrek, “Towards Sustainable Energy Systems: Integrating Renewable Energy and Energy Efficiency is the Key,” Discussion paper for Renewables 2004 International Conference, Wuppertal Eschborn, May 2004, [12]R. Harmsen, B. Wesselink, W. Eichhammer, and E. Worrell, “The unrecognized contribution of renewable energy to Europe’s energy savings target,” Energy Policy, 2011. [13]IRENA, “Synergies between renewable energy and energy efficiency. A working paper based on REMAP 2030,” 2015. [14]T. M. Lenard, “Renewable Electricity Standards, Energy Efficiency, and Cost-Effective Climate-Change Policy,” Electricity Journal, 2009. [15]H. Lund and B. Mathiesen, “Energy system analysis of 100% renewable energy systems The case of Denmark in years 2030 and 2050,” Energy, 2009. [16]G. Krajacˇic´, N. Duic´, Z. Zmijarevic´, B. V. Mathiesen, A. A. Vucˇinic´, and M. da Grac¸a Carvalho, “Planning for a 100% independent energy system based on smart energy storage for integration of renewables and CO2 emissions reduction,” Applied Thermal Engineering, 2011. [17]D. Connolly, H. Lund, B. Mathiesen, and M. Leahy, “The first step towards a 100% renewable energy-system for Ireland,” Applied Energy, 2011. [18]T. J. Brennan, “Optimal energy efficiency policies and regulatory demand-side management tests: How well do they match?” Energy Policy, 2010. [19]K. Gillingham, R. G. Newell, and K. Palmer, “Energy Efficiency Economics and Policy,” Discussion paper, 2003. [20]J. Tao and S. Yu, “Implementation of energy efficiency standards of household refrigerator/freezer in China: Potential environmental and economic impacts,” Applied Energy, 2011. [21]J. Luukkanen, J. Vehmas, F. Allievi, J. Panula-Ontto, and J. Kaivo-oja, “Synergies and trade-offs between unsustainable trends identified in the European Union- Empirical analysis carried out with the advanced sus- tainability analysis (ASA) approach,” Research Report. Finland Futures Research Centre. University of Tampere. Tampere, 2006. [22]BusinessDictionary.com, “Business Dictionary,” 2014. [23]V. Oikonomou, F. Becchis, L. Steg, and D. Russolillo, “Energy saving and energy efficiency concepts for policy making,” Energy Policy, 2009. [24]C. Christov, K. Simeonova, S. Todorova, and V. Krastev, “Assessment of mitigation options for the energy system in Bulgaria,” Applied Energy, 1997. [25]D. Connolly, H. Lund, B. Mathiesen, and M. Leahy, “A review of computer tools for analysing the integration of renewable energy into various energy systems,” Applied Energy, 2010. [26]F. Urban, R. Benders, and H. Moll, “Modelling energy systems for developing countries,” Energy Policy, 2007. [27]R. Pandey, “Energy policy modelling: agenda for developing countries,” Energy Policy, 2002. [28]N. V. Beeck, “Classification of Energy Models,” Tilburg University & Eindhoven University of Technology, 1999. [29]G. Conzelmann, “Greenhouse Gas Mitigation Analysis Using ENPEP,”International Atomic Energy Agency, 2001. [30]A´. Lo´pez-Pen˜a, P. Linares, and I. Pe´rez-Arriaga, “MASTER.SO: a Model for the Analysis of Sustainable Energy Roadmaps. Static Optimisation version,” 2013. [31]P. Dai, G. Chen, H. Zhou, M. Su, and H. Bao, “CO(2) Mitigation Measures of Power Sector and Its Integrated Optimization in China.” TheScientificWorldJournal, 2012. [32]Aalborg University, “EnergyPLAN. Advanced energy systems analysis computer model,” 2016. [33]Irena, “A Renewable Energy Roadmap,” Tech. Rep. June, 2014. [34]National Technical University of Athens, “The PRIMES Energy System Model. Summary Description,” Tech. Rep. [35]International Institute for Applied Systems Analysis, “MESSAGE - IIASA.” [36]R. Loulou, G. Goldstein, and K. Noble, “Documentation for the MARKAL Family of Models,” 2004. [37]B. H. Dias, A. L. M. Marcato, R. C. Souza, M. P. Soares, I. C. Silva Junior, E. J. D. Oliveira, R. B. S. Brandi, and T. P. Ramos, “Stochastic dynamic programming applied to hydrothermal power systems operation planning based on the convex hull algorithm,” Mathematical Problems in Engineering, 2010. [38]Energy Technology System Analysis Program (ETSAP), “TIMES.” [39]N. T. Nguyen and M. Ha-duong, “The potential for mitigation of CO2 emissions in Vietnam s power sector,” 2009. [40]Z. Hu, X. Tan, F. Yang, M. Yang, Q. Wen, B. Shan, and X. Han, “Integrated resource strategic planning: Case study of energy efficiency in the Chinese power sector,” Energy Policy, 2010. [41]J. Yuan, Y. Xu, J. Kang, X. Zhang, and Z. Hu, “Nonlinear integrated resource strategic planning model and case study in China’s power sector planning,” Energy, 2014. [42]O. van Vliet, V. Krey, D. McCollum, S. Pachauri, Y. Nagai, S. Rao, and K. Riahi, “Synergies in the Asian energy system: Climate change, energy security, energy access and air pollution,” Energy Economics, 2012. [43]R. F. Calili, R. C. Souza, A. Galli, M. Armstrong, and A. L. M. Marcato, “Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies,” Energy Policy, 2014. [44]A. Pina, C. Silva, and P. Ferra˜o, “The impact of demand side management strategies in the penetration of renewable electricity,” Energy, 2012. [45]R. M. Shrestha and C. O. P. Marpaung, “Integrated resource planning in the power sector and economy-wide changes in environmental emissions,” Energy Policy, 2006. [46]R. C. Souza, A. L. M. Marcato, B. H. Dias, and F. L. C. Oliveira, “Optimal operation of hydrothermal systems with Hydrological Scenario Generation through Bootstrap and Periodic Autoregressive Models,” European Journal of Operational Research, 2012. [47]B. Apolloni, A. Ghosh, F. Alpaslan, L. C. Jain, and S. Patnaik, Machine Learning and Robot Perception, Springer, Ed., 2005. [48]A. C. Marques and J. a. Fuinhas, “Do energy efficiency measures promote the use of renewable sources?” Environmental Science and Policy, 2011. [49]S. Sorrell, J. Dimitropoulos, and M. Sommerville, “Empirical estimates of the direct rebound effect: A review,” Energy Policy, 2009. [50]R. Madlener and B. Alcott, “Energy rebound and economic growth: A review of the main issues and research needs,” Energy, 2009. [51]L. A. Greening, D. L. Greene, and C. Difiglio, “Energy efficiency and consumption - the rebound effect - a survey,” Energy Policy, 2000. [52]R. Madlener and M. Hauertmann, “Rebound Effects in German Residential Heating: Do Ownership and Income Matter?” FCN Working Paper, 2011. [53]B. C osic, N. Markovska, V. Taseska, G. Krajacic´, and N. Duic´, “The potential of GHG emissions reduction in Macedonia by renewable electricity,” Chemical Engineering Transactions, 2011 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/102031 |