[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/r/eee/rensus/v15y2011i6p3099-3111.html
   My bibliography  Save this item

Barriers to energy efficiency in industrial bottom-up energy demand models--A review

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Seyed Vahid Vakili & Fabio Ballini & Dimitrios Dalaklis & Aykut I. Ölçer, 2022. "A Conceptual Transdisciplinary Framework to Overcome Energy Efficiency Barriers in Ship Operation Cycles to Meet IMO’s Initial Green House Gas Strategy Goals: Case Study for an Iranian Shipping Compan," Energies, MDPI, vol. 15(6), pages 1-25, March.
  2. Zhang, Dayong & Li, Jun & Ji, Qiang, 2020. "Does better access to credit help reduce energy intensity in China? Evidence from manufacturing firms," Energy Policy, Elsevier, vol. 145(C).
  3. Apriani Soepardi & Pratikto Pratikto & Purnomo Budi Santoso & Ishardita Pambudi Tama & Patrik Thollander, 2018. "Linking of Barriers to Energy Efficiency Improvement in Indonesia’s Steel Industry," Energies, MDPI, vol. 11(1), pages 1-22, January.
  4. Jafarzadeh, Sepideh & Utne, Ingrid Bouwer, 2014. "A framework to bridge the energy efficiency gap in shipping," Energy, Elsevier, vol. 69(C), pages 603-612.
  5. Maaouane, Mohamed & Zouggar, Smail & Krajačić, Goran & Zahboune, Hassan, 2021. "Modelling industry energy demand using multiple linear regression analysis based on consumed quantity of goods," Energy, Elsevier, vol. 225(C).
  6. Paramonova, Svetlana & Thollander, Patrik, 2016. "Energy-efficiency networks for SMEs: Learning from the Swedish experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 295-307.
  7. Bhatt, Brijesh & Singh, Anoop, 2021. "Power sector reforms and technology adoption in the Indian electricity distribution sector," Energy, Elsevier, vol. 215(PA).
  8. José Antonio Moya, 2016. "A Natural Analogy to the Diffusion of Energy-Efficient Technologies," Energies, MDPI, vol. 9(6), pages 1-14, June.
  9. Abeelen, Christiaan & Harmsen, Robert & Worrell, Ernst, 2013. "Implementation of energy efficiency projects by Dutch industry," Energy Policy, Elsevier, vol. 63(C), pages 408-418.
  10. Timilsina, Govinda R. & Hochman, Gal & Fedets, Iryna, 2016. "Understanding energy efficiency barriers in Ukraine: Insights from a survey of commercial and industrial firms," Energy, Elsevier, vol. 106(C), pages 203-211.
  11. Kialashaki, Arash & Reisel, John R., 2014. "Development and validation of artificial neural network models of the energy demand in the industrial sector of the United States," Energy, Elsevier, vol. 76(C), pages 749-760.
  12. Katarzyna Grondys & Armenia Androniceanu & Zdzisława Dacko-Pikiewicz, 2020. "Energy Management in the Operation of Enterprises in the Light of the Applicable Provisions of the Energy Efficiency Directive (2012/27/EU)," Energies, MDPI, vol. 13(17), pages 1-16, August.
  13. Khan, Muhammad Arshad, 2015. "Modelling and forecasting the demand for natural gas in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1145-1159.
  14. Talaei, Alireza & Ahiduzzaman, Md. & Kumar, Amit, 2018. "Assessment of long-term energy efficiency improvement and greenhouse gas emissions mitigation potentials in the chemical sector," Energy, Elsevier, vol. 153(C), pages 231-247.
  15. Álvarez-Diez, Susana & Baixauli-Soler, J. Samuel & Lozano-Reina, Gabriel & Rodríguez-Linares Rey, Diego, 2024. "Subsidies for investing in energy efficiency measures: Applying a random forest model for unbalanced samples," Applied Energy, Elsevier, vol. 359(C).
  16. Zhu, Tong & Curtis, John & Clancy, Matthew, 2023. "Modelling barriers to low-carbon technologies in energy system analysis: The example of renewable heat in Ireland," Applied Energy, Elsevier, vol. 330(PA).
  17. Liu, Xiaoyu & Chen, Dingjiang & Zhang, Wenjun & Qin, Weizhong & Zhou, Wenji & Qiu, Tong & Zhu, Bing, 2013. "An assessment of the energy-saving potential in China's petroleum refining industry from a technical perspective," Energy, Elsevier, vol. 59(C), pages 38-49.
  18. González Palencia, Juan C. & Furubayashi, Takaaki & Nakata, Toshihiko, 2013. "Analysis of CO2 emissions reduction potential in secondary production and semi-fabrication of non-ferrous metals," Energy Policy, Elsevier, vol. 52(C), pages 328-341.
  19. Paoli, Leonardo & Lupton, Richard C. & Cullen, Jonathan M., 2018. "Useful energy balance for the UK: An uncertainty analysis," Applied Energy, Elsevier, vol. 228(C), pages 176-188.
  20. Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina, 2015. "Synergy of air pollutants and greenhouse gas emissions of Chinese industries: A critical assessment of energy models," Energy, Elsevier, vol. 93(P2), pages 2436-2450.
  21. García-Gusano, Diego & Espegren, Kari & Lind, Arne & Kirkengen, Martin, 2016. "The role of the discount rates in energy systems optimisation models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 56-72.
  22. Yu, Song-min & Fan, Ying & Zhu, Lei & Eichhammer, Wolfgang, 2020. "Modeling the emission trading scheme from an agent-based perspective: System dynamics emerging from firms’ coordination among abatement options," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1113-1128.
  23. Wagner, Lukas Peter & Reinpold, Lasse Matthias & Kilthau, Maximilian & Fay, Alexander, 2023. "A systematic review of modeling approaches for flexible energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
  24. Xu, Jin-Hua & Yi, Bo-Wen & Fan, Ying, 2020. "Economic viability and regulation effects of infrastructure investments for inter-regional electricity transmission and trade in China," Energy Economics, Elsevier, vol. 91(C).
  25. Brunke, Jean-Christian & Blesl, Markus, 2014. "A plant-specific bottom-up approach for assessing the cost-effective energy conservation potential and its ability to compensate rising energy-related costs in the German iron and steel industry," Energy Policy, Elsevier, vol. 67(C), pages 431-446.
  26. Broeren, M.L.M. & Saygin, D. & Patel, M.K., 2014. "Forecasting global developments in the basic chemical industry for environmental policy analysis," Energy Policy, Elsevier, vol. 64(C), pages 273-287.
  27. Zilberman, David & Kaplan, Scott, 2014. "What the Adoption Literature can teach us about Social Media and Network Effects on Food Choices," 2014 AAEA/EAAE/CAES Joint Symposium: Social Networks, Social Media and the Economics of Food, May 29-30, 2014, Montreal, Canada 173076, Agricultural and Applied Economics Association.
  28. Cagno, E. & Worrell, E. & Trianni, A. & Pugliese, G., 2013. "A novel approach for barriers to industrial energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 290-308.
  29. Tronchin, Lamberto & Manfren, Massimiliano & Nastasi, Benedetto, 2018. "Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 341-353.
  30. Matthew, Chris, 2024. "The multiple benefits of current and potential energy efficiency policies: A Scottish islands case study," Energy Policy, Elsevier, vol. 187(C).
  31. Backlund, Sandra & Thollander, Patrik & Palm, Jenny & Ottosson, Mikael, 2012. "Extending the energy efficiency gap," Energy Policy, Elsevier, vol. 51(C), pages 392-396.
  32. Boßmann, Tobias & Eser, Eike Johannes, 2016. "Model-based assessment of demand-response measures—A comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1637-1656.
  33. Rootzén, Johan & Johnsson, Filip, 2015. "CO2 emissions abatement in the Nordic carbon-intensive industry – An end-game in sight?," Energy, Elsevier, vol. 80(C), pages 715-730.
  34. Jalo, Noor & Johansson, Ida & Kanchiralla, Fayas Malik & Thollander, Patrik, 2021. "Do energy efficiency networks help reduce barriers to energy efficiency? -A case study of a regional Swedish policy program for industrial SMEs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
  35. Gnann, Till & Plötz, Patrick, 2015. "A review of combined models for market diffusion of alternative fuel vehicles and their refueling infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 783-793.
  36. Bye, Brita & Fæhn, Taran & Rosnes, Orvika, 2018. "Residential energy efficiency policies: Costs, emissions and rebound effects," Energy, Elsevier, vol. 143(C), pages 191-201.
  37. Silva, Felipe L.C. & Souza, Reinaldo C. & Cyrino Oliveira, Fernando L. & Lourenco, Plutarcho M. & Calili, Rodrigo F., 2018. "A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil," Energy, Elsevier, vol. 144(C), pages 1107-1118.
  38. Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina & Krol, Maarten & de Bruine, Marco & Geng, Guangpo & Wagner, Fabian & Cofala, Janusz, 2016. "Modeling energy efficiency to improve air quality and health effects of China’s cement industry," Applied Energy, Elsevier, vol. 184(C), pages 574-593.
  39. José Antonio Moya, 2017. "Where Diffusion of Clean Technologies and Barriers to Innovation Clash: Application to the Global Diffusion of the Electrical Arc Furnace," Energies, MDPI, vol. 10(1), pages 1-22, January.
  40. Aste, Niccolò & Adhikari, R.S. & Manfren, Massimiliano, 2013. "Cost optimal analysis of heat pump technology adoption in residential reference buildings," Renewable Energy, Elsevier, vol. 60(C), pages 615-624.
  41. da Silva, Felipe L.C. & Cyrino Oliveira, Fernando L. & Souza, Reinaldo C., 2019. "A bottom-up bayesian extension for long term electricity consumption forecasting," Energy, Elsevier, vol. 167(C), pages 198-210.
  42. Li, Yuan & Zhou, You & Yi, Bo-Wen & Wang, Ya, 2021. "Impacts of the coal resource tax on the electric power industry in China: A multi-regional comprehensive analysis," Resources Policy, Elsevier, vol. 70(C).
  43. May, Gökan & Stahl, Bojan & Taisch, Marco, 2016. "Energy management in manufacturing: Toward eco-factories of the future – A focus group study," Applied Energy, Elsevier, vol. 164(C), pages 628-638.
  44. Fleiter, Tobias & Hirzel, Simon & Worrell, Ernst, 2012. "The characteristics of energy-efficiency measures – a neglected dimension," Energy Policy, Elsevier, vol. 51(C), pages 502-513.
  45. Pukšec, Tomislav & Mathiesen, Brian Vad & Novosel, Tomislav & Duić, Neven, 2014. "Assessing the impact of energy saving measures on the future energy demand and related GHG (greenhouse gas) emission reduction of Croatia," Energy, Elsevier, vol. 76(C), pages 198-209.
  46. Christoph Sejkora & Lisa Kühberger & Fabian Radner & Alexander Trattner & Thomas Kienberger, 2020. "Exergy as Criteria for Efficient Energy Systems—A Spatially Resolved Comparison of the Current Exergy Consumption, the Current Useful Exergy Demand and Renewable Exergy Potential," Energies, MDPI, vol. 13(4), pages 1-51, February.
  47. Szajkó, Gabriella & Rácz, Viktor József & Kis, András, 2024. "The role of price incentives in enhancing carbon sequestration in the forestry sector of Hungary," Forest Policy and Economics, Elsevier, vol. 158(C).
  48. de Assis Brasil Weber, Natália & da Rocha, Bárbara Pacheco & Smith Schneider, Paulo & Daemme, Luiz Carlos & de Arruda Penteado Neto, Renato, 2019. "Energy and emission impacts of liquid fueled engines compared to electric motors for small size motorcycles based on the Brazilian scenario," Energy, Elsevier, vol. 168(C), pages 70-79.
  49. Fleiter, Tobias & Fehrenbach, Daniel & Worrell, Ernst & Eichhammer, Wolfgang, 2012. "Energy efficiency in the German pulp and paper industry – A model-based assessment of saving potentials," Energy, Elsevier, vol. 40(1), pages 84-99.
  50. Zarrin Fatima & Virpi Oksman & Risto Lahdelma, 2021. "Enabling Small Medium Enterprises (SMEs) to Become Leaders in Energy Efficiency Using a Continuous Maturity Matrix," Sustainability, MDPI, vol. 13(18), pages 1-22, September.
  51. Werner König & Sabine Löbbe & Stefan Büttner & Christian Schneider, 2020. "Establishing Energy Efficiency—Drivers for Energy Efficiency in German Manufacturing Small- and Medium-Sized Enterprises," Energies, MDPI, vol. 13(19), pages 1-31, October.
  52. Thollander, Patrik & Backlund, Sandra & Trianni, Andrea & Cagno, Enrico, 2013. "Beyond barriers – A case study on driving forces for improved energy efficiency in the foundry industries in Finland, France, Germany, Italy, Poland, Spain, and Sweden," Applied Energy, Elsevier, vol. 111(C), pages 636-643.
  53. Andersson, Elias & Karlsson, Magnus & Thollander, Patrik & Paramonova, Svetlana, 2018. "Energy end-use and efficiency potentials among Swedish industrial small and medium-sized enterprises – A dataset analysis from the national energy audit program," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 165-177.
  54. Finnerty, Noel & Sterling, Raymond & Coakley, Daniel & Contreras, Sergio & Coffey, Ronan & Keane, Marcus M., 2017. "Development of a Global Energy Management System for non-energy intensive multi-site industrial organisations: A methodology," Energy, Elsevier, vol. 136(C), pages 16-31.
  55. Stéphane Poncin, 2018. "Energy policy tools in Luxembourg - Assessing their impact on households’ space heating energy consumption and CO2 emissions by means of the LuxHEI model," DEM Discussion Paper Series 18-23, Department of Economics at the University of Luxembourg.
  56. Yu, Weihua & Liang, Wenjing & Yao, Xin, 2024. "The effect of the county-to-district conversion policy on energy efficiency of enterprises: Evidence from China," Energy Economics, Elsevier, vol. 134(C).
  57. Safarzadeh, Soroush & Rasti-Barzoki, Morteza & Hejazi, Seyed Reza, 2020. "A review of optimal energy policy instruments on industrial energy efficiency programs, rebound effects, and government policies," Energy Policy, Elsevier, vol. 139(C).
  58. A S M Monjurul Hasan & Andrea Trianni, 2020. "A Review of Energy Management Assessment Models for Industrial Energy Efficiency," Energies, MDPI, vol. 13(21), pages 1-21, November.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.