Economics of stationary energy storage systems: Driving faster adoption for behind-the-meter applications in India

被引:4
|
作者
Gandhok, Tejpavan [1 ,2 ]
Manthri, Pranusha [3 ]
机构
[1] OP Jindal Global Univ JGU, Jindal Global Business Sch, Practice Strategy & Entrepreneurship, Sonipat, India
[2] OP Jindal Global Univ JGU, Jindal Global Business Sch, Sonipat, India
[3] Indian Sch Business, Hyderabad, India
关键词
Battery energy storage systems (BESS); Techno-economic feasibility; Early adopter segments; Faster energy transition; BESS Demand estimates for India;
D O I
10.1016/j.jclepro.2021.129610
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Managing the transition to a low carbon economy is a complex challenge that needs both early wins and a longerterm alternate technologies leapfrog, to better supplement existing public policies. Relative to the significant investment and policy focus on renewable energy generation and Electric Vehicles (EV) - both globally and in India - Stationary Energy Storage systems (ESS) have received far lower investment and policy attention.This is an important issue to redress for two key reasons. Firstly, ESS is a key rate limiting constraint to achieve the desired benefits of further increasing the share of renewables in the energy generation mix, in India's case from the current 20-25% to a target 40%+ range by 2030. Secondly, several ESS applications are already/very nearly economically viable.Although the dominant discourse focuses on EVs, our analysis in this paper shows that there is a bigger near term opportunity in India for Stationary Battery Energy Storage Systems (BESS) to replace diesel gensets for power backup. Interestingly India offers a meaningful level of scale for power-backup applications, for adoption directly by end-users. BESS as an alternative to Diesel Generator (DG) for power backup is economically viable in the Telecom sector and for roof-top solar installations; further non-subsidy levers e.g. differential tariffs and an annual cess on DG use, can drive economic viability in large campuses e.g. residential, schools and commercial buildings. These applications could offer a BESS demand ranging from 40 to 145 GWh over the next three years - which is more than the BESS demand estimates for EV segment of 40 GWh.Our study is verified and supported by experiential insights derived through primary research, personal interviews and hosting round-table discussions with relevant private and public policy experts.The conclusions from this paper raise the interesting public policy and business strategy implications,1 of given the economic viability and significant demand why has the adoption up to this potential not yet taken off, and what will it take to achieve this potential?1
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Techno-Economic and Sizing Analysis of Battery Energy Storage System for Behind-the-Meter Application
    Tsai, Chih-Ta
    Ocampo, Erica M.
    Beza, Teketay Mulu
    Kuo, Cheng-Chien
    [J]. IEEE ACCESS, 2020, 8 : 203734 - 203746
  • [32] The Value of Behind-The-Meter Energy Storage for Buildings: A Case Study on a University Building in South Africa
    Odukomaiya, Adewale
    Abu-Heiba, Ahmad
    Bekker, Bernard
    [J]. 2018 IEEE PES/IAS POWERAFRICA CONFERENCE, 2018, : 640 - 644
  • [33] Model Predictive Optimal Dispatch of Behind-the-Meter Energy Storage Considering Onsite Generation Uncertainties
    Bhattarai, Bishnu P.
    Paudyal, Sumit
    Myers, Kurt S.
    Turk, Robert J.
    Tonkoski, Reinaldo
    [J]. 2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [34] Battery Optimal Approach to Demand Charge Reduction in Behind-The-Meter Energy Management Systems
    Vatanparvar, Korosh
    Sharma, Ratnesh
    [J]. 2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [35] Optimal Sizing of Behind-the-Meter Energy Storage with Stochastic Load and PV Generation for Islanded Operation
    Copp, David A.
    Nguyen, Tu A.
    Byrne, Raymond H.
    [J]. 2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [36] A stochastic method for behind-the-meter PV-battery energy storage systems sizing with degradation minimization by limiting battery cycling
    Rezaeimozafar, Mostafa
    Barrett, Enda
    Monaghan, Rory F. D.
    Duffy, Maeve
    [J]. JOURNAL OF ENERGY STORAGE, 2024, 86
  • [37] Energy storage behind-the-meter with renewable generators: Techno-economic value of optimal imbalance management
    Trovato, Vincenzo
    Kantharaj, Bharath
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 118
  • [38] Joint Energy Disaggregation of Behind-the-Meter PV and Battery Storage: A Contextually Supervised Source Separation Approach
    Yan, Jichuan
    Ge, Xinxin
    Lu, Xiaoxing
    Wang, Fei
    Li, Kangping
    Shen, Hongtao
    Tao, Peng
    [J]. 2021 IEEE/IAS 57TH INDUSTRIAL AND COMMERCIAL POWER SYSTEMS TECHNICAL CONFERENCE (I&CPS), 2021,
  • [39] Joint Energy Disaggregation of Behind-the-Meter PV and Battery Storage: A Contextually Supervised Source Separation Approach
    Wang, Fei
    Ge, Xinxin
    Dong, Zengbo
    Yan, Jichuan
    Li, Kangping
    Xu, Fei
    Lu, Xiaoxing
    Shen, Hongtao
    Tao, Peng
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2022, 58 (02) : 1490 - 1501
  • [40] Resilience-Oriented Behind-the-Meter Energy Storage System Evaluation for Mission-Critical Facilities
    Angizeh, Farhad
    Ghofrani, Ali
    Zaidan, Esmat
    Jafari, Mohsen A.
    [J]. IEEE ACCESS, 2021, 9 (09): : 80854 - 80865