Business models as drivers of the low carbon power system transition: a multi-level perspective

被引:113
|
作者
Wainstein, Martin E. [1 ]
Bumpus, Adam G. [2 ,3 ]
机构
[1] Univ Melbourne, Sch Earth Sci, Australian German Climate & Energy Coll, Melbourne, Vic 3010, Australia
[2] Univ Melbourne, Fac Sci, Sch Geog, Melbourne, Vic 3010, Australia
[3] Stanford Univ, Bill Lane Ctr Amer West, Stanford, CA 94305 USA
关键词
Business models; Multi-level perspective; Electricity system transition; Disruptive innovations; Low carbon transition theory; RENEWABLE ENERGY; SMART GRIDS; WIND POWER; DEMAND RESPONSE; ELECTRICITY-GENERATION; SUSTAINABLE ENERGY; GERMAN UTILITIES; INNOVATION; ENTREPRENEURSHIP; CHALLENGES;
D O I
10.1016/j.jclepro.2016.02.095
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Decarbonising the electrical power system holds a critical role in climate change mitigation. Recent developments in technology are helping change the current centralized paradigm into one of integrated distributed clean energy resources. In spite of these developments, radical transformation is not occurring at a speed to effectively meet environmental targets, mostly due to the incumbent carbon lock in trajectory. We argue that business model (BM) innovation dynamics are key drivers in accelerating the low carbon power system transition, often operating irrespective of the underlying technology. We combine BM theory with the multi-level perspective on sociotechnical transitions to present a useful framework to analyze this potential transition. This paper presents the application of this framework characterizing relevant BM dynamics of niche and regime business actors, and supporting these with illustrative examples. Particularly, we find that new actors in the distributed energy business are achieving market scale by offering financially innovative BMs that do not require upfront costs from customers. Higher penetrations of renewable energy sources in liberalized electricity markets are destabilizing the historical BM of large centralized utilities through erosion of wholesale prices. Furthermore, a shift towards distributed and dynamic energy resources further challenges incumbents and might bring opportunities for BMs focused on active customer participation and social value creation. As these tendencies are expected to accelerate, we find analyses of BMs will have important relevance for future power system transition research. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:572 / 585
页数:14
相关论文
共 50 条
  • [41] Multi-level Autonomic Business Process Management
    Oliveira, Karolyne
    Castro, Jaelson
    Espana, Sergio
    Pastor, Oscar
    [J]. ENTERPRISE, BUSINESS-PROCESS AND INFORMATION SYSTEMS MODELING, BPMDS 2013, 2013, 147 : 184 - 198
  • [42] An exploratory analysis of low-carbon transitions in China's construction industry based on multi-level perspective
    Xu, Pengpeng
    Wang, Yishan
    Yao, Haona
    Hou, Huiying
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2023, 92
  • [43] A socio-technical analysis of low-carbon transitions: introducing the multi-level perspective into transport studies
    Geels, Frank W.
    [J]. JOURNAL OF TRANSPORT GEOGRAPHY, 2012, 24 : 471 - 482
  • [44] A theoretical perspective on multi-level systems in Europe: Constitutional power and partisan conflict
    Nicole Bolleyer
    Wilfried Swenden
    Nicola McEwen
    [J]. Comparative European Politics, 2014, 12 : 367 - 383
  • [45] Multi-Level Governance of Low-Carbon Energy Systems in Thailand
    Kunchornrat, Janthana
    Phdungsilp, Aumnad
    [J]. ENERGIES, 2012, 5 (03) : 531 - 544
  • [46] Evaluation of Multi-Level Buck Converters for Low-Power Applications
    Abdulslam, Abdullah
    Amer, S. H.
    Emara, A. S.
    Ismail, Yehea
    [J]. 2016 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2016, : 794 - 797
  • [47] Sustainability transition to organic agriculture through the lens of the multi-level perspective: case of Egypt
    Islam Mohamed Kamel
    Hamid El Bilali
    [J]. Organic Agriculture, 2022, 12 : 191 - 212
  • [48] Tabi: An Efficient Multi-Level Inference System for Large Language Models
    Wang, Yiding
    Chen, Kai
    Tan, Haisheng
    Guo, Kun
    [J]. PROCEEDINGS OF THE EIGHTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS, EUROSYS 2023, 2023, : 233 - 248
  • [49] Microgrids and the transition toward decentralized energy systems in the United States: A Multi-Level Perspective
    Ajaz, Warda
    Bernell, David
    [J]. ENERGY POLICY, 2021, 149
  • [50] Changes and challenges in telecommuting explained through multi-level perspective on socio technical transition
    Sarbu, Roxana
    Dumitrache, Victor Marian
    Alpopi, Cristina
    Vasilache, Petrut Cristian
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BUSINESS EXCELLENCE, 2021, 15 (01): : 455 - 467